{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T13:44:07Z","timestamp":1780407847469,"version":"3.54.1"},"reference-count":135,"publisher":"Springer Science and Business Media LLC","issue":"27","license":[{"start":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T00:00:00Z","timestamp":1680566400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T00:00:00Z","timestamp":1680566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1007\/s11042-023-15175-6","type":"journal-article","created":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T11:41:54Z","timestamp":1680608514000},"page":"42851-42899","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images"],"prefix":"10.1007","volume":"82","author":[{"given":"Law Kumar","family":"Singh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Munish","family":"Khanna","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shankar","family":"Thawkar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rekha","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,4,4]]},"reference":[{"key":"15175_CR1","doi-asserted-by":"crossref","unstructured":"Franco P, Coronado-Gutierrez D, Lopez C, Burgos-Artizzu XP (2021) Glaucoma patient screening from online retinal fundus images via Artificial Intelligence. medRxiv","DOI":"10.1101\/2021.02.11.21251193"},{"issue":"4","key":"15175_CR2","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1007\/s00521-016-2473-7","volume":"29","author":"M Abd El Aziz","year":"2018","unstructured":"Abd El Aziz M, Hassanien AE (2018) Modified cuckoo search algorithm with rough sets for feature selection. Neural Comput Appl 29(4):925\u2013934","journal-title":"Neural Comput Appl"},{"key":"15175_CR3","doi-asserted-by":"publisher","first-page":"632","DOI":"10.1016\/j.ijepes.2015.05.050","volume":"73","author":"AY Abdelaziz","year":"2015","unstructured":"Abdelaziz AY, Ali ES (2015) Cuckoo search algorithm based load frequency controller design for nonlinear interconnected power system. Int J Electr Power Energy Syst 73:632\u2013643","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"15175_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10916-019-1451-x","volume":"44","author":"DP Acharjya","year":"2020","unstructured":"Acharjya DP (2020) A hybrid scheme for heart disease diagnosis using rough set and cuckoo search technique. J Med Syst 44(1):1\u201316","journal-title":"J Med Syst"},{"issue":"3","key":"15175_CR5","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1109\/TITB.2011.2119322","volume":"15","author":"UR Acharya","year":"2011","unstructured":"Acharya UR, Dua S, Du X, Chua CK (2011) Automated diagnosis of glaucoma using texture and higher order spectra features. IEEE Trans Inf Technol Biomed 15(3):449\u2013455","journal-title":"IEEE Trans Inf Technol Biomed"},{"key":"15175_CR6","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.bspc.2014.09.004","volume":"15","author":"UR Acharya","year":"2015","unstructured":"Acharya UR, Ng EYK, Eugene LWJ, Noronha KP, Min LC, Nayak KP, Bhandary SV (2015) Decision support system for the glaucoma using Gabor transformation. Biomed Signal Process Control 15:18\u201326","journal-title":"Biomed Signal Process Control"},{"issue":"1","key":"15175_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s42490-023-00067-5","volume":"5","author":"HA Agboola","year":"2023","unstructured":"Agboola HA, Zaccheus JE (2023) Wavelet image scattering based glaucoma detection. BMC Biomed Eng 5(1):1","journal-title":"BMC Biomed Eng"},{"key":"15175_CR8","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.swevo.2013.02.001","volume":"11","author":"S Agrawal","year":"2013","unstructured":"Agrawal S, Panda R, Bhuyan S, Panigrahi BK (2013) Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm. Swarm Evol Comput 11:16\u201330","journal-title":"Swarm Evol Comput"},{"issue":"2","key":"15175_CR9","first-page":"61","volume":"2","author":"ATS Al-Obaidi","year":"2013","unstructured":"Al-Obaidi ATS (2013) Improved scatter search using cuckoo search. Int J Adv Res Artif Intell 2(2):61\u201367","journal-title":"Int J Adv Res Artif Intell"},{"issue":"1","key":"15175_CR10","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1007\/s12530-019-09289-2","volume":"11","author":"AD Andrushia","year":"2020","unstructured":"Andrushia AD, Patricia AT (2020) Artificial bee colony optimization (ABC) for grape leaves disease detection. Evol Syst 11(1):105\u2013117","journal-title":"Evol Syst"},{"key":"15175_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112882","volume":"140","author":"KM Ang","year":"2020","unstructured":"Ang KM, Lim WH, Isa NAM, Tiang SS, Wong CH (2020) A constrained multi-swarm particle swarm optimization without velocity for constrained optimization problems. Expert Syst Appl 140:112882","journal-title":"Expert Syst Appl"},{"key":"15175_CR12","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.asoc.2018.02.025","volume":"66","author":"IB Aydilek","year":"2018","unstructured":"Aydilek IB (2018) A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems. Appl Soft Comput 66:232\u2013249","journal-title":"Appl Soft Comput"},{"issue":"7","key":"15175_CR13","doi-asserted-by":"publisher","first-page":"3538","DOI":"10.1016\/j.eswa.2013.10.059","volume":"41","author":"AK Bhandari","year":"2014","unstructured":"Bhandari AK, Singh VK, Kumar A, Singh GK (2014) Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur\u2019s entropy. Expert Syst Appl 41(7):3538\u20133560","journal-title":"Expert Syst Appl"},{"issue":"3","key":"15175_CR14","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1016\/j.media.2009.12.006","volume":"14","author":"R Bock","year":"2010","unstructured":"Bock R, Meier J, Ny\u00fal LG, Hornegger J, Michelson G (2010) Glaucoma risk index: automated glaucoma detection from color fundus images. Med Image Anal 14(3):471\u2013481","journal-title":"Med Image Anal"},{"key":"15175_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.mechmachtheory.2012.10.010","volume":"61","author":"RR Bulatovi\u0107","year":"2013","unstructured":"Bulatovi\u0107 RR, \u0110or\u0111evi\u0107 SR, \u0110or\u0111evi\u0107 VS (2013) Cuckoo search algorithm: a metaheuristic approach to solving the problem of optimum synthesis of a six-bar double dwell linkage. Mech Mach Theory 61:1\u201313","journal-title":"Mech Mach Theory"},{"issue":"5\u20138","key":"15175_CR16","doi-asserted-by":"publisher","first-page":"951","DOI":"10.1007\/s00170-012-4061-z","volume":"64","author":"S Burnwal","year":"2013","unstructured":"Burnwal S, Deb S (2013) Scheduling optimization of flexible manufacturing system using cuckoo search-based approach. Int J Adv Manuf Technol 64(5\u20138):951\u2013959","journal-title":"Int J Adv Manuf Technol"},{"issue":"5","key":"15175_CR17","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1080\/13658816.2014.999245","volume":"29","author":"M Cao","year":"2015","unstructured":"Cao M, Tang GA, Shen Q, Wang Y (2015) A new discovery of transition rules for cellular automata by using cuckoo search algorithm. Int J Geogr Inf Sci 29(5):806\u2013824","journal-title":"Int J Geogr Inf Sci"},{"issue":"1","key":"15175_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jesit.2015.03.001","volume":"2","author":"S Chaine","year":"2015","unstructured":"Chaine S, Tripathy M (2015) Design of an optimal SMES for automatic generation control of two-area thermal power system using Cuckoo search algorithm. J Electr Syst Inf Technol 2(1):1\u201313","journal-title":"J Electr Syst Inf Technol"},{"key":"15175_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105747","volume":"178","author":"A Chaudhary","year":"2020","unstructured":"Chaudhary A, Thakur R, Kolhe S, Kamal R (2020) A particle swarm optimization based ensemble for vegetable crop disease recognition. Comput Electron Agric 178:105747","journal-title":"Comput Electron Agric"},{"key":"15175_CR20","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.eswa.2019.03.039","volume":"128","author":"K Chen","year":"2019","unstructured":"Chen K, Zhou FY, Yuan XF (2019) Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection. Expert Syst Appl 128:140\u2013156","journal-title":"Expert Syst Appl"},{"issue":"4","key":"15175_CR21","doi-asserted-by":"publisher","first-page":"3056","DOI":"10.1109\/TIA.2018.2811725","volume":"54","author":"D Chitara","year":"2018","unstructured":"Chitara D, Niazi KR, Swarnkar A, Gupta N (2018) Cuckoo search optimization algorithm for designing of a multimachine power system stabilizer. IEEE Trans Ind Appl 54(4):3056\u20133065","journal-title":"IEEE Trans Ind Appl"},{"issue":"2","key":"15175_CR22","first-page":"5","volume":"19","author":"M Claro","year":"2016","unstructured":"Claro M, Santos L, Silva W, Ara\u00fajo F, Moura N, Macedo A (2016) Automatic glaucoma detection based on optic disc segmentation and texture feature extraction. CLEI electronic journal 19(2):5\u20135","journal-title":"CLEI electronic journal"},{"key":"15175_CR23","doi-asserted-by":"publisher","first-page":"4993","DOI":"10.1007\/s10462-020-09813-w","volume":"53","author":"R Cristin","year":"2020","unstructured":"Cristin R, Kumar BS, Priya C, Karthick K (2020) Deep neural network based Rider-Cuckoo Search Algorithm for plant disease detection. Artificial intelligence review 53:4993\u20135018","journal-title":"Artificial intelligence review"},{"key":"15175_CR24","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.ins.2020.01.018","volume":"518","author":"Z Cui","year":"2020","unstructured":"Cui Z, Zhang J, Wu D, Cai X, Wang H, Zhang W, Chen J (2020) Hybrid many-objective particle swarm optimization algorithm for green coal production problem. Inf Sci 518:256\u2013271","journal-title":"Inf Sci"},{"key":"15175_CR25","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.compbiomed.2016.02.011","volume":"71","author":"E Daniel","year":"2016","unstructured":"Daniel E, Anitha J (2016) Optimum wavelet based masking for the contrast enhancement of medical images using enhanced cuckoo search algorithm. Comput Biol Med 71:149\u2013155","journal-title":"Comput Biol Med"},{"key":"15175_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2019.100616","volume":"52","author":"A Darwish","year":"2020","unstructured":"Darwish A, Ezzat D, Hassanien AE (2020) An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis. Swarm Evol Comput 52:100616","journal-title":"Swarm Evol Comput"},{"issue":"18","key":"15175_CR27","doi-asserted-by":"publisher","first-page":"19173","DOI":"10.1007\/s11042-017-4608-y","volume":"76","author":"JA de Sousa","year":"2017","unstructured":"de Sousa JA, de Paiva AC, de Almeida JDS, Silva AC, Junior GB, Gattass M (2017) Texture based on geostatistic for glaucoma diagnosis from fundus eye image. Multimed Tools Appl 76(18):19173\u201319190","journal-title":"Multimed Tools Appl"},{"issue":"5","key":"15175_CR28","doi-asserted-by":"publisher","first-page":"67","DOI":"10.4018\/IJEHMC.20210901.oa5","volume":"12","author":"A Dev","year":"2021","unstructured":"Dev A, Malik SK (2021) Artificial bee colony optimized deep neural network model for handling imbalanced stroke data: ABC-DNN for prediction of stroke. Int J E-Health Med Commun (IJEHMC) 12(5):67\u201383","journal-title":"Int J E-Health Med Commun (IJEHMC)"},{"key":"15175_CR29","doi-asserted-by":"crossref","unstructured":"Dhivya M, Sundarambal M, Anand LN (2011) Energy efficient computation of data fusion in wireless sensor networks using cuckoo based particle approach (CBPA). Int'l J Commun Netw Syst Sci 4(04):249","DOI":"10.4236\/ijcns.2011.44030"},{"issue":"4\u20135","key":"15175_CR30","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1016\/j.compmedimag.2007.02.002","volume":"31","author":"K Doi","year":"2007","unstructured":"Doi K (2007) Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput Med Imaging Graph 31(4\u20135):198\u2013211","journal-title":"Comput Med Imaging Graph"},{"key":"15175_CR31","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1016\/j.asoc.2019.01.001","volume":"76","author":"T Dokeroglu","year":"2019","unstructured":"Dokeroglu T, Sevinc E, Cosar A (2019) Artificial bee colony optimization for the quadratic assignment problem. Appl Soft Comput 76:595\u2013606","journal-title":"Appl Soft Comput"},{"issue":"1","key":"15175_CR32","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/TITB.2011.2176540","volume":"16","author":"S Dua","year":"2011","unstructured":"Dua S, Acharya UR, Chowriappa P, Sree SV (2011) Wavelet-based energy features for glaucomatous image classification. IEEE Trans Inf Technol Biomed 16(1):80\u201387","journal-title":"IEEE Trans Inf Technol Biomed"},{"issue":"3","key":"15175_CR33","doi-asserted-by":"publisher","first-page":"185","DOI":"10.3139\/120.110317","volume":"54","author":"\u0130 Durgun","year":"2012","unstructured":"Durgun \u0130, Yildiz AR (2012) Structural design optimization of vehicle components using cuckoo search algorithm. Mater Test 54(3):185\u2013188","journal-title":"Mater Test"},{"issue":"2","key":"15175_CR34","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1002\/ima.22494","volume":"31","author":"P Elangovan","year":"2021","unstructured":"Elangovan P, Nath MK (2021) Glaucoma assessment from color fundus images using convolutional neural network. Int J Imaging Syst Technol 31(2):955\u2013971","journal-title":"Int J Imaging Syst Technol"},{"key":"15175_CR35","doi-asserted-by":"crossref","unstructured":"Elmoufidi A, Skouta A, Jai-Andaloussi S, Ouchetto O (2022) CNN with multiple inputs for automatic glaucoma assessment using fundus images. International Journal of Image and Graphics, 2350012","DOI":"10.21203\/rs.3.rs-610059\/v1"},{"key":"15175_CR36","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1007\/s12083-019-00805-4","volume":"13","author":"S Famila","year":"2020","unstructured":"Famila S, Jawahar A, Sariga A, Shankar K (2020) Improved artificial bee colony optimization based clustering algorithm for SMART sensor environments. Peer-to-Peer Networking and Applications 13:1071\u20131079","journal-title":"Peer-to-Peer Networking and Applications"},{"key":"15175_CR37","doi-asserted-by":"crossref","unstructured":"Fu H, Cheng J, Xu Y, Liu J (2019) Glaucoma detection based on deep learning network in fundus image. In: Deep learning and convolutional neural networks for medical imaging and clinical informatics. Springer, Cham, pp 119\u2013137","DOI":"10.1007\/978-3-030-13969-8_6"},{"key":"15175_CR38","doi-asserted-by":"crossref","unstructured":"Garg H, Gupta N, Agrawal R, Shivani S, Sharma B (2022) A real time cloud-based framework for glaucoma screening using EfficientNet. Multimedia Tools and Applications 1\u201322","DOI":"10.1007\/s11042-021-11559-8"},{"issue":"4","key":"15175_CR39","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1504\/IJBIC.2012.048063","volume":"4","author":"A Gherboudj","year":"2012","unstructured":"Gherboudj A, Layeb A, Chikhi S (2012) Solving 0\u20131 knapsack problems by a discrete binary version of cuckoo search algorithm. Int J Bio-Inspir Comput 4(4):229\u2013236","journal-title":"Int J Bio-Inspir Comput"},{"key":"15175_CR40","doi-asserted-by":"publisher","first-page":"77414","DOI":"10.1109\/ACCESS.2018.2882946","volume":"6","author":"F Guo","year":"2018","unstructured":"Guo F, Mai Y, Zhao X, Duan X, Fan Z, Zou B, Xie B (2018) Yanbao: a mobile app using the measurement of clinical parameters for glaucoma screening. IEEE Access 6:77414\u201377428","journal-title":"IEEE Access"},{"issue":"10","key":"15175_CR41","doi-asserted-by":"publisher","first-page":"2567","DOI":"10.1007\/s11517-020-02237-2","volume":"58","author":"F Guo","year":"2020","unstructured":"Guo F, Li W, Tang J, Zou B, Fan Z (2020) Automated glaucoma screening method based on image segmentation and feature extraction. Med Biol Eng Compu 58(10):2567\u20132586","journal-title":"Med Biol Eng Compu"},{"issue":"2","key":"15175_CR42","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1007\/s42979-022-01592-1","volume":"4","author":"MS Guru Prasad","year":"2023","unstructured":"Guru Prasad MS, Naveen Kumar HN, Raju K, Santhosh Kumar DK, Chandrappa S (2023) Glaucoma detection using clustering and segmentation of the optic disc region from retinal fundus images. SN Comput Sci 4(2):192","journal-title":"SN Comput Sci"},{"key":"15175_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117968","volume":"207","author":"A Haider","year":"2022","unstructured":"Haider A, Arsalan M, Lee MB, Owais M, Mahmood T, Sultan H, Park KR (2022) Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images. Expert Syst Appl 207:117968","journal-title":"Expert Syst Appl"},{"issue":"1","key":"15175_CR44","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.icte.2018.01.014","volume":"5","author":"B Hajimirzaei","year":"2019","unstructured":"Hajimirzaei B, Navimipour NJ (2019) Intrusion detection for cloud computing using neural networks and artificial bee colony optimization algorithm. ICT Express 5(1):56\u201359","journal-title":"ICT Express"},{"key":"15175_CR45","doi-asserted-by":"crossref","unstructured":"Haleem MS, Han L, Van Hemert J, Fleming A, Pasquale LR, Silva PS, ... Aiello LP (2016) Regional image features model for automatic classification between normal and glaucoma in fundus and scanning laser ophthalmoscopy (SLO) images. J Med Syst 40(6):132","DOI":"10.1007\/s10916-016-0482-9"},{"key":"15175_CR46","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1016\/j.ins.2017.09.028","volume":"422","author":"E Hancer","year":"2018","unstructured":"Hancer E, Xue B, Zhang M, Karaboga D, Akay B (2018) Pareto front feature selection based on artificial bee colony optimization. Inf Sci 422:462\u2013479","journal-title":"Inf Sci"},{"issue":"8","key":"15175_CR47","doi-asserted-by":"publisher","first-page":"3155","DOI":"10.1007\/s12652-018-1031-9","volume":"10","author":"RA Ibrahim","year":"2019","unstructured":"Ibrahim RA, Ewees AA, Oliva D, Abd Elaziz M, Lu S (2019) Improved salp swarm algorithm based on particle swarm optimization for feature selection. J Ambient Intell Humaniz Comput 10(8):3155\u20133169","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"2","key":"15175_CR48","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1016\/j.cmpb.2015.08.002","volume":"122","author":"A Issac","year":"2015","unstructured":"Issac A, Sarathi MP, Dutta MK (2015) An adaptive threshold based image processing technique for improved glaucoma detection and classification. Comput Methods Programs Biomed 122(2):229\u2013244","journal-title":"Comput Methods Programs Biomed"},{"key":"15175_CR49","unstructured":"Jati GK, Manurung HM (2012) Discrete cuckoo search for traveling salesman problem. In: 2012 7th international conference on computing and convergence technology (ICCCT). IEEE, pp 993\u2013997"},{"key":"15175_CR50","doi-asserted-by":"crossref","unstructured":"Jayaraman V, Sultana HP (2019) Artificial gravitational cuckoo search algorithm along with particle bee optimized associative memory neural network for feature selection in heart disease classification. J Ambient Intell Humaniz Comput 1\u201310","DOI":"10.1007\/s12652-019-01193-6"},{"key":"15175_CR51","unstructured":"Jovanovic R, Kais S, Alharbi FH (2014) Cuckoo search inspired hybridization of the nelder-mead simplex algorithm applied to optimization of photovoltaic cells.\u00a0arXiv preprint arXiv:1411.0217"},{"issue":"21","key":"15175_CR52","doi-asserted-by":"publisher","first-page":"15531","DOI":"10.1007\/s11042-019-7460-4","volume":"79","author":"M Juneja","year":"2020","unstructured":"Juneja M, Singh S, Agarwal N, Bali S, Gupta S, Thakur N, Jindal P (2020) Automated detection of Glaucoma using deep learning convolution network (G-net). Multimed Tools Appl 79(21):15531\u201315553","journal-title":"Multimed Tools Appl"},{"key":"15175_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.108009","volume":"101","author":"M Juneja","year":"2022","unstructured":"Juneja M, Thakur S, Uniyal A, Wani A, Thakur N, Jindal P (2022) Deep learning-based classification network for glaucoma in retinal images. Comput Electr Eng 101:108009","journal-title":"Comput Electr Eng"},{"key":"15175_CR54","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117202","volume":"201","author":"M Juneja","year":"2022","unstructured":"Juneja M, Minhas JS, Singla N, Thakur S, Thakur N, Jindal P (2022) Fused framework for glaucoma diagnosis using Optical Coherence Tomography (OCT) images. Expert Syst Appl 201:117202","journal-title":"Expert Syst Appl"},{"key":"15175_CR55","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.swevo.2019.05.010","volume":"49","author":"FEF Junior","year":"2019","unstructured":"Junior FEF, Yen GG (2019) Particle swarm optimization of deep neural networks architectures for image classification. Swarm Evol Comput 49:62\u201374","journal-title":"Swarm Evol Comput"},{"key":"15175_CR56","doi-asserted-by":"crossref","unstructured":"Kanagaraj G, Ponnambalam SG, Lim WCE (2014) Application of a hybridized cuckoo search-genetic algorithm to path optimization for PCB holes drilling process. In: 2014 IEEE international conference on automation science and engineering (CASE). IEEE, pp 373\u2013378","DOI":"10.1109\/CoASE.2014.6899353"},{"issue":"3","key":"15175_CR57","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"D Karaboga","year":"2007","unstructured":"Karaboga D, Basturk B (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Global Optim 39(3):459\u2013471","journal-title":"J Global Optim"},{"issue":"4","key":"15175_CR58","doi-asserted-by":"publisher","first-page":"3531","DOI":"10.1007\/s13369-018-3562-y","volume":"44","author":"D Karaboga","year":"2019","unstructured":"Karaboga D, Kaya E (2019) Training ANFIS by using an adaptive and hybrid artificial bee colony algorithm (aABC) for the identification of nonlinear static systems. Arab J Sci Eng 44(4):3531\u20133547","journal-title":"Arab J Sci Eng"},{"issue":"2","key":"15175_CR59","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/j.bbe.2018.02.003","volume":"38","author":"TR Kausu","year":"2018","unstructured":"Kausu TR, Gopi VP, Wahid KA, Doma W, Niwas SI (2018) Combination of clinical and multiresolution features for glaucoma detection and its classification using fundus images. Biocybern Biomed Eng 38(2):329\u2013341","journal-title":"Biocybern Biomed Eng"},{"key":"15175_CR60","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of ICNN'95-international conference on neural networks (vol 4, pp 1942\u20131948). IEEE","DOI":"10.1109\/ICNN.1995.488968"},{"key":"15175_CR61","doi-asserted-by":"crossref","unstructured":"Koh JE, Acharya UR, Hagiwara Y, Raghavendra U, Tan JH, Sree SV, ... Tong L (2017) Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies. Comput Biol Med 84:89\u201397","DOI":"10.1016\/j.compbiomed.2017.03.008"},{"issue":"12","key":"15175_CR62","doi-asserted-by":"publisher","first-page":"8293","DOI":"10.1007\/s11227-019-02999-z","volume":"75","author":"SP Kumar","year":"2019","unstructured":"Kumar SP, Sumithra MG, Saranya N (2019) Artificial bee colony-based fuzzy c means (ABC-FCM) segmentation algorithm and dimensionality reduction for leaf disease detection in bioinformatics. J Supercomput 75(12):8293\u20138311","journal-title":"J Supercomput"},{"issue":"9","key":"15175_CR63","first-page":"298","volume":"7","author":"A Kumari","year":"2015","unstructured":"Kumari A, Shukla S (2015) Distributed generation allocation and voltage improvement in distribution system using cuckoo search algorithm. Int J Eng Sci Technol 7(9):298","journal-title":"Int J Eng Sci Technol"},{"issue":"10","key":"15175_CR64","doi-asserted-by":"publisher","first-page":"3099","DOI":"10.1016\/j.cor.2005.11.017","volume":"34","author":"CJ Liao","year":"2007","unstructured":"Liao CJ, Tseng CT, Luarn P (2007) A discrete version of particle swarm optimization for flowshop scheduling problems. Comput Oper Res 34(10):3099\u20133111","journal-title":"Comput Oper Res"},{"key":"15175_CR65","doi-asserted-by":"crossref","unstructured":"Liu S, Hong J, Lu X, Jia X, Lin Z, Zhou Y, ... Zhang H (2019). Joint optic disc and cup segmentation using semi-supervised conditional GANs. Comput Biol Med 115:103485","DOI":"10.1016\/j.compbiomed.2019.103485"},{"issue":"3","key":"15175_CR66","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1109\/JBHI.2016.2544961","volume":"21","author":"S Maheshwari","year":"2016","unstructured":"Maheshwari S, Pachori RB, Acharya UR (2016) Automated diagnosis of glaucoma using empirical wavelet transform and correntropy features extracted from fundus images. IEEE J Biomed Health Inform 21(3):803\u2013813","journal-title":"IEEE J Biomed Health Inform"},{"key":"15175_CR67","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.compbiomed.2017.06.017","volume":"88","author":"S Maheshwari","year":"2017","unstructured":"Maheshwari S, Pachori RB, Kanhangad V, Bhandary SV, Acharya UR (2017) Iterative variational mode decomposition based automated detection of glaucoma using fundus images. Comput Biol Med 88:142\u2013149","journal-title":"Comput Biol Med"},{"key":"15175_CR68","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.compbiomed.2018.11.028","volume":"105","author":"S Maheshwari","year":"2019","unstructured":"Maheshwari S, Kanhangad V, Pachori RB, Bhandary SV, Acharya UR (2019) Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques. Comput Biol Med 105:72\u201380","journal-title":"Comput Biol Med"},{"key":"15175_CR69","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.asoc.2015.04.020","volume":"33","author":"S Mahmoudi","year":"2015","unstructured":"Mahmoudi S, Lotfi S (2015) Modified cuckoo optimization algorithm (MCOA) to solve graph coloring problem. Appl Soft Comput 33:48\u201364","journal-title":"Appl Soft Comput"},{"issue":"1","key":"15175_CR70","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s44196-021-00013-0","volume":"14","author":"C Mallika","year":"2021","unstructured":"Mallika C, Selvamuthukumaran S (2021) A hybrid crow search and grey wolf optimization technique for enhanced medical data classification in diabetes diagnosis system. Int J Comput Intell Syst 14(1):1\u201318","journal-title":"Int J Comput Intell Syst"},{"key":"15175_CR71","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105341","volume":"192","author":"J Martins","year":"2020","unstructured":"Martins J, Cardoso JS, Soares F (2020) Offline computer-aided diagnosis for Glaucoma detection using fundus images targeted at mobile devices. Comput Methods Programs Biomed 192:105341","journal-title":"Comput Methods Programs Biomed"},{"issue":"15","key":"15175_CR72","doi-asserted-by":"publisher","first-page":"5671","DOI":"10.1007\/s11269-015-1140-6","volume":"29","author":"B Ming","year":"2015","unstructured":"Ming B, Chang JX, Huang Q, Wang YM, Huang SZ (2015) Optimal operation of multi-reservoir system based-on cuckoo search algorithm. Water Resour Manage 29(15):5671\u20135687","journal-title":"Water Resour Manage"},{"key":"15175_CR73","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.swevo.2015.05.003","volume":"24","author":"P Mohapatra","year":"2015","unstructured":"Mohapatra P, Chakravarty S, Dash PK (2015) An improved cuckoo search based extreme learning machine for medical data classification. Swarm Evol Comput 24:25\u201349","journal-title":"Swarm Evol Comput"},{"key":"15175_CR74","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.knosys.2012.02.010","volume":"33","author":"MRK Mookiah","year":"2012","unstructured":"Mookiah MRK, Acharya UR, Lim CM, Petznick A, Suri JS (2012) Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features. Knowl-Based Syst 33:73\u201382","journal-title":"Knowl-Based Syst"},{"key":"15175_CR75","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1016\/j.asoc.2015.10.039","volume":"38","author":"MK Naik","year":"2016","unstructured":"Naik MK, Panda R (2016) A novel adaptive cuckoo search algorithm for intrinsic discriminant analysis based face recognition. Appl Soft Comput 38:661\u2013675","journal-title":"Appl Soft Comput"},{"key":"15175_CR76","doi-asserted-by":"crossref","unstructured":"Nancharaiah B, Mohan BC (2014) Hybrid optimization using ant colony optimization and cuckoo search in manet routing. In: 2014 international conference on communication and signal processing. IEEE, pp 1729\u20131734","DOI":"10.1109\/ICCSP.2014.6950142"},{"issue":"5","key":"15175_CR77","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/s10916-008-9195-z","volume":"33","author":"J Nayak","year":"2009","unstructured":"Nayak J, Acharya R, Bhat PS, Shetty N, Lim TC (2009) Automated diagnosis of glaucoma using digital fundus images. J Med Syst 33(5):337\u2013346","journal-title":"J Med Syst"},{"key":"15175_CR78","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1016\/j.ijepes.2014.12.075","volume":"68","author":"TT Nguyen","year":"2015","unstructured":"Nguyen TT, Truong AV (2015) Distribution network reconfiguration for power loss minimization and voltage profile improvement using cuckoo search algorithm. Int J Electr Power Energy Syst 68:233\u2013242","journal-title":"Int J Electr Power Energy Syst"},{"key":"15175_CR79","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1016\/j.asoc.2015.09.010","volume":"37","author":"TT Nguyen","year":"2015","unstructured":"Nguyen TT, Vo DN (2015) The application of one rank cuckoo search algorithm for solving economic load dispatch problems. Appl Soft Comput 37:763\u2013773","journal-title":"Appl Soft Comput"},{"key":"15175_CR80","doi-asserted-by":"crossref","unstructured":"Nguyen TT, Vo DN, Ongsakul W (2015) One rank cuckoo search algorithm for short-term hydrothermal scheduling with reservoir constraint. In: 2015 IEEE Eindhoven PowerTech. IEEE, pp 1\u20136","DOI":"10.1109\/PTC.2015.7232825"},{"issue":"4","key":"15175_CR81","first-page":"22","volume":"2","author":"A Noghrehabadi","year":"2011","unstructured":"Noghrehabadi A, Ghalambaz M, Vosough A (2011) A hybrid power series\u2013Cuckoo search optimization algorithm to electrostatic deflection of micro fixed-fixed actuators. Int J Multidiscip Sci Eng 2(4):22\u201326","journal-title":"Int J Multidiscip Sci Eng"},{"key":"15175_CR82","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.bspc.2013.11.006","volume":"10","author":"KP Noronha","year":"2014","unstructured":"Noronha KP, Acharya UR, Nayak KP, Martis RJ, Bhandary SV (2014) Automated classification of glaucoma stages using higher order cumulant features. Biomed Signal Process Control 10:174\u2013183","journal-title":"Biomed Signal Process Control"},{"issue":"59","key":"15175_CR83","volume":"2020","author":"JI Orlando","year":"2019","unstructured":"Orlando JI, Fu H, Breda JB, van Keer K, Bathula DR, Diaz-Pinto A et al (2019) REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs[J]. Med Image Anal 2020(59):101570","journal-title":"Med Image Anal"},{"issue":"7","key":"15175_CR84","doi-asserted-by":"publisher","first-page":"1659","DOI":"10.1007\/s00521-013-1402-2","volume":"24","author":"A Ouaarab","year":"2014","unstructured":"Ouaarab A, Ahiod B, Yang XS (2014) Discrete cuckoo search algorithm for the travelling salesman problem. Neural Comput Appl 24(7):1659\u20131669","journal-title":"Neural Comput Appl"},{"issue":"2","key":"15175_CR85","doi-asserted-by":"publisher","first-page":"777","DOI":"10.12785\/amis\/070248","volume":"7","author":"X Ouyang","year":"2013","unstructured":"Ouyang X, Zhou Y, Luo Q, Chen H (2013) A novel discrete cuckoo search algorithm for spherical traveling salesman problem. Appl Math Inf Sci 7(2):777","journal-title":"Appl Math Inf Sci"},{"key":"15175_CR86","doi-asserted-by":"crossref","unstructured":"\u00d6zt\u00fcrk \u015e, Ahmad R, Akhtar N (2020) Variants of Artificial Bee Colony algorithm and its applications in medical image processing. Applied soft computing 97:106799","DOI":"10.1016\/j.asoc.2020.106799"},{"key":"15175_CR87","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.asoc.2016.05.040","volume":"47","author":"S Pare","year":"2016","unstructured":"Pare S, Kumar A, Bajaj V, Singh GK (2016) A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve. Appl Soft Comput 47:76\u2013102","journal-title":"Appl Soft Comput"},{"issue":"19","key":"15175_CR88","doi-asserted-by":"publisher","first-page":"29481","DOI":"10.1007\/s11042-021-11087-5","volume":"80","author":"N Patil","year":"2021","unstructured":"Patil N, Patil PN, Rao PV (2021) Convolution neural network and deep-belief network (DBN) based automatic detection and diagnosis of Glaucoma. Multimed Tools Appl 80(19):29481\u201329495","journal-title":"Multimed Tools Appl"},{"key":"15175_CR89","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1016\/j.apenergy.2013.07.057","volume":"114","author":"J Piechocki","year":"2014","unstructured":"Piechocki J, Ambroziak D, Palkowski A, Redlarski G (2014) Use of Modified Cuckoo Search algorithm in the design process of integrated power systems for modern and energy self-sufficient farms. Appl Energy 114:901\u2013908","journal-title":"Appl Energy"},{"key":"15175_CR90","doi-asserted-by":"crossref","unstructured":"Pongchairerks, P. (2009). Particle swarm optimization algorithm applied to scheduling problems","DOI":"10.1504\/IJOR.2009.023535"},{"issue":"1","key":"15175_CR91","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1007\/s12652-017-0655-5","volume":"10","author":"M Prabukumar","year":"2019","unstructured":"Prabukumar M, Agilandeeswari L, Ganesan K (2019) An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier. J Ambient Intell Humaniz Comput 10(1):267\u2013293","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"15175_CR92","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.ins.2018.01.051","volume":"441","author":"U Raghavendra","year":"2018","unstructured":"Raghavendra U, Fujita H, Bhandary SV, Gudigar A, Tan JH, Acharya UR (2018) Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images. Inf Sci 441:41\u201349","journal-title":"Inf Sci"},{"issue":"1","key":"15175_CR93","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.bbe.2017.11.002","volume":"38","author":"U Raghavendra","year":"2018","unstructured":"Raghavendra U, Bhandary SV, Gudigar A, Acharya UR (2018) Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images. Biocybern Biomed Eng 38(1):170\u2013180","journal-title":"Biocybern Biomed Eng"},{"key":"15175_CR94","doi-asserted-by":"crossref","unstructured":"Rahaman M, Mondal SP, Shaikh AA, Pramanik P, Roy S, Maiti MK, ... De D (2020) Artificial bee colony optimization-inspired synergetic study of fractional-order economic production quantity model. Soft Comput 24(20):15341-15359","DOI":"10.1007\/s00500-020-04867-y"},{"key":"15175_CR95","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1016\/j.asoc.2016.09.048","volume":"52","author":"H Rakhshani","year":"2017","unstructured":"Rakhshani H, Rahati A (2017) Snap-drift cuckoo search: a novel cuckoo search optimization algorithm. Appl Soft Comput 52:771\u2013794","journal-title":"Appl Soft Comput"},{"issue":"4","key":"15175_CR96","first-page":"173","volume":"2","author":"B Ramakrishnan","year":"2015","unstructured":"Ramakrishnan B, Sreedivya SR, Selvi M (2015) Adaptive routing protocol based on cuckoo search algorithm (ARP-CS) for secured vehicular ad hoc network (VANET). Int J Comput Netw Appl (IJCNA) 2(4):173\u2013178","journal-title":"Int J Comput Netw Appl (IJCNA)"},{"key":"15175_CR97","doi-asserted-by":"crossref","unstructured":"Rao H, Shi X, Rodrigue AK, Feng J, Xia Y, Elhoseny M, ... Gu L (2019) Feature selection based on artificial bee colony and gradient boosting decision tree. Appl Soft Comput 74:634-642","DOI":"10.1016\/j.asoc.2018.10.036"},{"issue":"05","key":"15175_CR98","doi-asserted-by":"publisher","first-page":"1950039","DOI":"10.4015\/S101623721950039X","volume":"31","author":"S Renukalatha","year":"2019","unstructured":"Renukalatha S, Suresh KV (2019) Classification of glaucoma using simplified-multiclass support vector machine. Biomed Eng Appl Basis Commun 31(05):1950039","journal-title":"Biomed Eng Appl Basis Commun"},{"key":"15175_CR99","doi-asserted-by":"publisher","first-page":"29637","DOI":"10.1109\/ACCESS.2018.2843443","volume":"6","author":"SB Sakri","year":"2018","unstructured":"Sakri SB, Rashid NBA, Zain ZM (2018) Particle swarm optimization feature selection for breast cancer recurrence prediction. IEEE Access 6:29637\u201329647","journal-title":"IEEE Access"},{"issue":"1","key":"15175_CR100","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40064-016-3175-4","volume":"5","author":"AA Salam","year":"2016","unstructured":"Salam AA, Khalil T, Akram MU, Jameel A, Basit I (2016) Automated detection of glaucoma using structural and non structural features. Springerplus 5(1):1\u201321","journal-title":"Springerplus"},{"issue":"2","key":"15175_CR101","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1080\/09720502.2020.1731967","volume":"23","author":"A Saxena","year":"2020","unstructured":"Saxena A, Shekhawat S, Sharma A, Sharma H, Kumar R (2020) Chaotic step length artificial bee colony algorithms for protein structure prediction. J Interdiscip Math 23(2):617\u2013629","journal-title":"J Interdiscip Math"},{"issue":"2","key":"15175_CR102","doi-asserted-by":"publisher","first-page":"795","DOI":"10.13005\/bpj\/1434","volume":"11","author":"D Selvathi","year":"2018","unstructured":"Selvathi D, Prakash NB, Gomathi V, Hemalakshmi GR (2018) Fundus image classification using wavelet based features in detection of glaucoma. Biomed Pharmacol J 11(2):795\u2013805","journal-title":"Biomed Pharmacol J"},{"key":"15175_CR103","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/j.compag.2017.06.024","volume":"140","author":"S Sengupta","year":"2017","unstructured":"Sengupta S, Das AK (2017) Particle Swarm Optimization based incremental classifier design for rice disease prediction. Comput Electron Agric 140:443\u2013451","journal-title":"Comput Electron Agric"},{"issue":"1","key":"15175_CR104","doi-asserted-by":"publisher","first-page":"53","DOI":"10.4258\/hir.2018.24.1.53","volume":"24","author":"A Septiarini","year":"2018","unstructured":"Septiarini A, Khairina DM, Kridalaksana AH, Hamdani H (2018) Automatic glaucoma detection method applying a statistical approach to fundus images. Healthc Inform Res 24(1):53\u201360","journal-title":"Healthc Inform Res"},{"key":"15175_CR105","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115620","volume":"185","author":"M Shafipour","year":"2021","unstructured":"Shafipour M, Rashno A, Fadaei S (2021) Particle distance rank feature selection by particle swarm optimization. Expert Syst Appl 185:115620","journal-title":"Expert Syst Appl"},{"issue":"4","key":"15175_CR106","doi-asserted-by":"publisher","first-page":"1568","DOI":"10.1016\/j.bbe.2020.09.005","volume":"40","author":"AH Shahid","year":"2020","unstructured":"Shahid AH, Singh MP (2020) A novel approach for coronary artery disease diagnosis using hybrid particle swarm optimization based emotional neural network. Biocybern Biomed Eng 40(4):1568\u20131585","journal-title":"Biocybern Biomed Eng"},{"issue":"01","key":"15175_CR107","doi-asserted-by":"publisher","first-page":"1940011","DOI":"10.1142\/S0219519419400116","volume":"19","author":"R Sharma","year":"2019","unstructured":"Sharma R, Sircar P, Pachori RB, Bhandary SV, Acharya UR (2019) Automated glaucoma detection using center slice of higher order statistics. J Mech Med Biol 19(01):1940011","journal-title":"J Mech Med Biol"},{"key":"15175_CR108","unstructured":"Shi Y, Eberhart RC (1998) A modified particle swam optimizer. IEEE Word Congress on Computational Intelligence 1998: 69-73"},{"key":"15175_CR109","unstructured":"Shubhangi DC, Parveen N (2019) A dynamic roi based Glaucoma detection and region estimation technique. Int J Comput Sci Mobile Comput 8(August (8)):82\u201386"},{"key":"15175_CR110","doi-asserted-by":"crossref","unstructured":"Goceri E (2023) Medical image data augmentation: techniques, comparisons and interpretations. Artif\u00a0Intell\u00a0Rev 1\u201345","DOI":"10.1007\/s10462-023-10453-z"},{"key":"15175_CR111","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103468","volume":"73","author":"LK Singh","year":"2022","unstructured":"Singh LK, Khanna M (2022) A novel multimodality based dual fusion integrated approach for efficient and early prediction of glaucoma. Biomed Signal Process Control 73:103468","journal-title":"Biomed Signal Process Control"},{"issue":"19","key":"15175_CR112","doi-asserted-by":"publisher","first-page":"27737","DOI":"10.1007\/s11042-022-12826-y","volume":"81","author":"LK Singh","year":"2022","unstructured":"Singh LK, Garg H, Khanna M (2022) Performance evaluation of various deep learning based models for effective glaucoma evaluation using optical coherence tomography images. Multimed Tools Appl 81(19):27737\u201327781","journal-title":"Multimed Tools Appl"},{"key":"15175_CR113","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.cmpb.2015.10.010","volume":"124","author":"A Singh","year":"2016","unstructured":"Singh A, Dutta MK, ParthaSarathi M, Uher V, Burget R (2016) Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image. Comput Methods Programs Biomed 124:108\u2013120","journal-title":"Comput Methods Programs Biomed"},{"key":"15175_CR114","unstructured":"SK PK, Sumithra MG, Saranya N (2021) Particle Swarm Optimization (PSO) with fuzzy c means (PSO\u2010FCM)\u2013based segmentation and machine learning classifier for leaf diseases prediction. Concurr Comput Pract Exp 33(3):e5312"},{"issue":"14","key":"15175_CR115","doi-asserted-by":"publisher","first-page":"4916","DOI":"10.3390\/app10144916","volume":"10","author":"S Sreng","year":"2020","unstructured":"Sreng S, Maneerat N, Hamamoto K, Win KY (2020) Deep learning for optic disc segmentation and glaucoma diagnosis on retinal images. Appl Sci 10(14):4916","journal-title":"Appl Sci"},{"issue":"2","key":"15175_CR116","doi-asserted-by":"publisher","first-page":"32","DOI":"10.4018\/IJEHMC.2021030102","volume":"12","author":"AK Srivastava","year":"2021","unstructured":"Srivastava AK, Kumar Y, Singh PK (2021) Artificial bee colony and deep neural network-based diagnostic model for improving the prediction accuracy of diabetes. Int J E-Health Med Commun (IJEHMC) 12(2):32\u201350","journal-title":"Int J E-Health Med Commun (IJEHMC)"},{"key":"15175_CR117","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.eswa.2016.03.032","volume":"58","author":"S Suresh","year":"2016","unstructured":"Suresh S, Lal S (2016) An efficient cuckoo search algorithm based multilevel thresholding for segmentation of satellite images using different objective functions. Expert Syst Appl 58:184\u2013209","journal-title":"Expert Syst Appl"},{"issue":"5","key":"15175_CR118","doi-asserted-by":"publisher","first-page":"1099","DOI":"10.1007\/s12205-013-0341-x","volume":"17","author":"S Talatahari","year":"2013","unstructured":"Talatahari S, Rahbari NM, Kaveh A (2013) A new hybrid optimization algorithm for recognition of hysteretic non-linear systems. KSCE J Civ Eng 17(5):1099\u20131108","journal-title":"KSCE J Civ Eng"},{"issue":"3","key":"15175_CR119","first-page":"288","volume":"15","author":"B Tarle","year":"2019","unstructured":"Tarle B, Jena S (2019) Improved artificial neural network with aid of artificial bee colony for medical data classification. Int J Bus Intell Data Min 15(3):288\u2013305","journal-title":"Int J Bus Intell Data Min"},{"key":"15175_CR120","unstructured":"Lim HT, Ramli R (2010) Recent advancements of nurse scheduling models and a potential path"},{"key":"15175_CR121","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102137","volume":"62","author":"N Thakur","year":"2020","unstructured":"Thakur N, Juneja M (2020) Classification of glaucoma using hybrid features with machine learning approaches. Biomed Signal Process Control 62:102137","journal-title":"Biomed Signal Process Control"},{"issue":"2","key":"15175_CR122","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1016\/j.bbe.2021.05.011","volume":"41","author":"A Tulsani","year":"2021","unstructured":"Tulsani A, Kumar P, Pathan S (2021) Automated segmentation of optic disc and optic cup for glaucoma assessment using improved UNET++ architecture. Biocybern Biomed Eng 41(2):819\u2013832","journal-title":"Biocybern Biomed Eng"},{"key":"15175_CR123","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.enconman.2015.05.009","volume":"101","author":"Z Wang","year":"2015","unstructured":"Wang Z, Li Y (2015) Irreversibility analysis for optimization design of plate fin heat exchangers using a multi-objective cuckoo search algorithm. Energy Convers Manage 101:126\u2013135","journal-title":"Energy Convers Manage"},{"key":"15175_CR124","doi-asserted-by":"crossref","unstructured":"Wang L, Jiang S, Jiang S (2021) A feature selection method via analysis of relevance, redundancy, and interaction. Expert Systems with Applications 183:115365","DOI":"10.1016\/j.eswa.2021.115365"},{"key":"15175_CR125","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1016\/j.ins.2018.01.027","volume":"436","author":"F Wang","year":"2018","unstructured":"Wang F, Zhang H, Li K, Lin Z, Yang J, Shen XL (2018) A hybrid particle swarm optimization algorithm using adaptive learning strategy. Inf Sci 436:162\u2013177","journal-title":"Inf Sci"},{"issue":"5","key":"15175_CR126","doi-asserted-by":"publisher","DOI":"10.1088\/1674-1056\/21\/5\/050507","volume":"21","author":"L Xiang-Tao","year":"2012","unstructured":"Xiang-Tao L, Ming-Hao Y (2012) Parameter estimation for chaotic systems using the cuckoo search algorithm with an orthogonal learning method. Chin Phys B 21(5):050507","journal-title":"Chin Phys B"},{"key":"15175_CR127","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.asoc.2013.09.018","volume":"18","author":"B Xue","year":"2014","unstructured":"Xue B, Zhang M, Browne WN (2014) Particle swarm optimisation for feature selection in classification: novel initialisation and updating mechanisms. Appl Soft Comput 18:261\u2013276","journal-title":"Appl Soft Comput"},{"key":"15175_CR128","doi-asserted-by":"crossref","unstructured":"Yang XS, Deb S (2009) Cuckoo search via L\u00e9vy flights. In: 2009 World congress on nature & biologically inspired computing (NaBIC). IEEE, pp 210\u2013214","DOI":"10.1109\/NABIC.2009.5393690"},{"key":"15175_CR129","doi-asserted-by":"crossref","unstructured":"Yekkala I, Dixit S, Jabbar MA (2017) Prediction of heart disease using ensemble learning and Particle Swarm Optimization. In: 2017 International conference on smart technologies for Smart Nation (SmartTechCon). IEEE, pp 691\u2013698","DOI":"10.1109\/SmartTechCon.2017.8358460"},{"issue":"1","key":"15175_CR130","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s00170-012-4013-7","volume":"64","author":"AR Yildiz","year":"2013","unstructured":"Yildiz AR (2013) Cuckoo search algorithm for the selection of optimal machining parameters in milling operations. Int J Adv Manuf Technol 64(1):55\u201361","journal-title":"Int J Adv Manuf Technol"},{"key":"15175_CR131","doi-asserted-by":"crossref","unstructured":"Zhan ZH, Zhang J (2009) Discrete particle swarm optimization for multiple destination routing problems. In: Workshops on applications of evolutionary computation. Springer, Berlin, Heidelberg, pp 117\u2013122","DOI":"10.1007\/978-3-642-01129-0_15"},{"key":"15175_CR132","doi-asserted-by":"crossref","unstructured":"Zhang Z, Yin FS, Liu J, Wong WK, Tan NM, Lee BH, ... Wong TY (2010) ORIGA-light: An online retinal fundus image database for glaucoma analysis and research. In: 2010 annual international conference of the IEEE engineering in medicine and biology. IEEE, pp 3065\u20133068","DOI":"10.1109\/IEMBS.2010.5626137"},{"key":"15175_CR133","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.eswa.2019.06.006","volume":"135","author":"QB Zhang","year":"2019","unstructured":"Zhang QB, Wang P, Chen ZH (2019) An improved particle filter for mobile robot localization based on particle swarm optimization. Expert Syst Appl 135:181\u2013193","journal-title":"Expert Syst Appl"},{"key":"15175_CR134","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103905","volume":"95","author":"X Zhang","year":"2020","unstructured":"Zhang X, Liu H, Tu L (2020) A modified particle swarm optimization for multimodal multi-objective optimization. Eng Appl Artif Intell 95:103905","journal-title":"Eng Appl Artif Intell"},{"issue":"1","key":"15175_CR135","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.12485","volume":"38","author":"M Zomorodi-moghadam","year":"2021","unstructured":"Zomorodi-moghadam M, Abdar M, Davarzani Z, Zhou X, P\u0142awiak P, Acharya UR (2021) Hybrid particle swarm optimization for rule discovery in the diagnosis of coronary artery disease. Expert Syst 38(1):e12485","journal-title":"Expert Syst"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15175-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-15175-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15175-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T17:57:34Z","timestamp":1729187854000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-15175-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,4]]},"references-count":135,"journal-issue":{"issue":"27","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["15175"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-15175-6","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,4]]},"assertion":[{"value":"8 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 March 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 April 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest\/Competing interests"}},{"value":"None.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}