{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T05:31:46Z","timestamp":1732080706908,"version":"3.28.0"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"39","license":[{"start":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T00:00:00Z","timestamp":1721692800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T00:00:00Z","timestamp":1721692800000},"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"],"DOI":"10.1007\/s11042-024-19760-1","type":"journal-article","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T08:01:50Z","timestamp":1721721710000},"page":"87199-87235","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["OMSACC-SGRAN: an implementation of hybrid Optimized Multi-Scale Atrous Convoluted CNN with Self Guided Residual Attention Network for fish species classification"],"prefix":"10.1007","volume":"83","author":[{"given":"Bhanumathi","family":"M","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arthi","family":"B","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,23]]},"reference":[{"issue":"4","key":"19760_CR1","first-page":"1862","volume":"25","author":"M-C Chuang","year":"2016","unstructured":"Chuang M-C, Hwang J-N, Williams K (2016) A feature learning and object recognition framework for underwater fish images. IEEE Trans Image Process 25(4):1862\u20131872","journal-title":"IEEE Trans Image Process"},{"key":"19760_CR2","doi-asserted-by":"publisher","first-page":"78503","DOI":"10.1109\/ACCESS.2018.2885055","volume":"6","author":"C Qiu","year":"2018","unstructured":"Qiu C, Zhang S, Wang C, Yu Z, Zheng H, Zheng B (2018) Improving transfer learning and squeeze- and-excitation networks for small-scale fine-grained fish image classification. IEEE Access 6:78503\u201378512","journal-title":"IEEE Access"},{"issue":"1","key":"19760_CR3","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/JOE.2010.2101235","volume":"36","author":"PLD Roberts","year":"2011","unstructured":"Roberts PLD, Jaffe JS, Trivedi MM (2011) Multiview, broadband acoustic classification of marine fish: a machine learning framework and comparative analysis. IEEE J Oceanic Eng 36(1):90\u2013104","journal-title":"IEEE J Oceanic Eng"},{"key":"19760_CR4","doi-asserted-by":"publisher","first-page":"126907","DOI":"10.1109\/ACCESS.2020.3008698","volume":"8","author":"F Han","year":"2020","unstructured":"Han F, Zhu J, Liu B, Zhang B, Xie F (2020) Fish shoals behavior detection based on convolutional neural network and spatiotemporal information. IEEE Access 8:126907\u2013126926","journal-title":"IEEE Access"},{"key":"19760_CR5","doi-asserted-by":"publisher","first-page":"218372","DOI":"10.1109\/ACCESS.2020.3042337","volume":"8","author":"H M\u00e5l\u00f8y","year":"2020","unstructured":"M\u00e5l\u00f8y H (2020) EchoBERT: a transformer-based approach for behavior detection in echograms. IEEE Access 8:218372\u2013218385","journal-title":"IEEE Access"},{"key":"19760_CR6","doi-asserted-by":"publisher","first-page":"4719","DOI":"10.1109\/TIP.2021.3074738","volume":"30","author":"Z Zhao","year":"2021","unstructured":"Zhao Z, Liu Y, Sun X, Liu J, Yang X, Zhou C (2021) Composited FishNet: fish detection and species recognition from low-quality underwater videos. IEEE Trans Image Process 30:4719\u20134734","journal-title":"IEEE Trans Image Process"},{"key":"19760_CR7","doi-asserted-by":"publisher","first-page":"63767","DOI":"10.1109\/ACCESS.2019.2917554","volume":"7","author":"Y Nagaoka","year":"2019","unstructured":"Nagaoka Y, Miyazaki T, Sugaya Y, Omachi S (2019) Automatic Mackerel sorting machine using global and local features. IEEE Access 7:63767\u201363777","journal-title":"IEEE Access"},{"issue":"10","key":"19760_CR8","doi-asserted-by":"publisher","first-page":"3165","DOI":"10.1109\/TFUZZ.2020.3015591","volume":"29","author":"S Alagarsamy","year":"2021","unstructured":"Alagarsamy S, Zhang Y-D, Govindaraj V, Rajasekaran MP, Sankaran S (2021) Smart identification of topographically variant anomalies in brain magnetic resonance imaging using a fish school-based fuzzy clustering approach. IEEE Trans Fuzzy Syst 29(10):3165\u20133177","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"19760_CR9","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1007\/s11277-019-06634-1","volume":"116","author":"MA Iqbal","year":"2021","unstructured":"Iqbal MA, Wang Z, Ali ZA, Riaz S (2021) Automatic fish species classification using deep convolutional neural networks. Wirel Pers Commun 116:1043\u20131053","journal-title":"Wirel Pers Commun"},{"key":"19760_CR10","doi-asserted-by":"publisher","first-page":"783","DOI":"10.1007\/s10044-013-0362-6","volume":"18","author":"MTA Rodrigues","year":"2015","unstructured":"Rodrigues MTA, Freitas MHG, P\u00e1dua FLC, Gomes RM, Carrano EG (2015) Evaluating cluster detection algorithms and feature extraction techniques in automatic classification of fish species. Pattern Anal Appl 18:783\u2013797","journal-title":"Pattern Anal Appl"},{"key":"19760_CR11","doi-asserted-by":"publisher","first-page":"4077","DOI":"10.1007\/s10462-021-10102-3","volume":"55","author":"D Li","year":"2022","unstructured":"Li D, Ling Du (2022) Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish. Artif Intell Rev 55:4077\u20134116","journal-title":"Artif Intell Rev"},{"key":"19760_CR12","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1007\/s11160-021-09667-7","volume":"31","author":"\u00c1T Mart\u00ednez-Gonz\u00e1lez","year":"2021","unstructured":"Mart\u00ednez-Gonz\u00e1lez \u00c1T, Ram\u00edrez-Rivera VM, Caballero-V\u00e1zquez JA, G\u00f3mez J\u00e1uregui DA (2021) Deep learning algorithm as a strategy for detection an invasive species in uncontrolled environment. Rev Fish Biol Fish 31:909\u2013922","journal-title":"Rev Fish Biol Fish"},{"key":"19760_CR13","doi-asserted-by":"publisher","first-page":"698","DOI":"10.1007\/s10661-020-08653-z","volume":"192","author":"EM Ditria","year":"2020","unstructured":"Ditria EM, Sievers M, Lopez-Marcano S, Jinks EL, Connolly RM (2020) Deep learning for automated analysis of fish abundance: the benefits of training across multiple habitats. Environ Monit Assess 192:698","journal-title":"Environ Monit Assess"},{"key":"19760_CR14","doi-asserted-by":"publisher","first-page":"25303","DOI":"10.1007\/s11042-022-12525-8","volume":"81","author":"L Jiang","year":"2022","unstructured":"Jiang L, Quan H, Xie T, Qian J (2022) Fish recognition in complex underwater scenes based on targeted sample transfer learning. Multimed Tools Appl 81:25303\u201325317","journal-title":"Multimed Tools Appl"},{"key":"19760_CR15","doi-asserted-by":"publisher","first-page":"105878","DOI":"10.1016\/j.compag.2020.105878","volume":"180","author":"Xu Xiaoling","year":"2021","unstructured":"Xiaoling Xu, Li W, Duan Q (2021) Transfer learning and SE-ResNet152 networks-based for small-scale unbalanced fish species identification. Comput Electron Agric 180:105878","journal-title":"Comput Electron Agric"},{"key":"19760_CR16","doi-asserted-by":"publisher","first-page":"100087","DOI":"10.1016\/j.atech.2022.100087","volume":"3","author":"T Yoshida","year":"2023","unstructured":"Yoshida T, Zhou J, Terayama K, Kitazawa D (2023) Monitoring of cage-cultured sea cucumbers using an underwater time-lapse camera and deep learning-based image analysis. Smart Agric Technol 3:100087","journal-title":"Smart Agric Technol"},{"key":"19760_CR17","doi-asserted-by":"publisher","first-page":"3677","DOI":"10.1007\/s11042-022-13437-3","volume":"82","author":"RM Aziz","year":"2023","unstructured":"Aziz RM, Desai NP, Baluch MF (2023) Computer vision model with novel cuckoo search based deep learning approach for classification of fish image. Multimed Tools Appl 82:3677\u20133696","journal-title":"Multimed Tools Appl"},{"key":"19760_CR18","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1186\/s13634-022-00950-8","volume":"2022","author":"P Prasenan","year":"2022","unstructured":"Prasenan P, Suriyakala CD (2022) Fish species classification using a collaborative technique of firefly algorithm and neural network. EURASIP J Adv Signal Process 2022:116","journal-title":"EURASIP J Adv Signal Process"},{"key":"19760_CR19","doi-asserted-by":"publisher","first-page":"31625","DOI":"10.1007\/s11042-020-09371-x","volume":"79","author":"M Mathur","year":"2020","unstructured":"Mathur M, Vasudev D, Sahoo S, Jain D, Goel N (2020) Crosspooled FishNet: transfer learning based fish species classification model. Multimed Tools Appl 79:31625\u201331643","journal-title":"Multimed Tools Appl"},{"key":"19760_CR20","doi-asserted-by":"publisher","first-page":"105075","DOI":"10.1016\/j.compag.2019.105075","volume":"167","author":"HT Rauf","year":"2019","unstructured":"Rauf HT, Lali MIU, Zahoor S, Shah SZH, Rehman AU, Bukhari SAC (2019) Visual features based automated identification of fish species using deep convolutional neural networks. Comput Electron Agric 167:105075","journal-title":"Comput Electron Agric"},{"key":"19760_CR21","doi-asserted-by":"publisher","first-page":"101088","DOI":"10.1016\/j.ecoinf.2020.101088","volume":"57","author":"A Jalal","year":"2020","unstructured":"Jalal A, Salman A, Mian A, Shortis M, Shafait F (2020) Fish detection and species classification in underwater environments using deep learning with temporal information. Ecol Inform 57:101088","journal-title":"Ecol Inform"},{"key":"19760_CR22","doi-asserted-by":"publisher","first-page":"106810","DOI":"10.1016\/j.compag.2022.106810","volume":"196","author":"A Banerjee","year":"2022","unstructured":"Banerjee A, Das A, Behra S, Bhattacharjee D, Srinivasan NT, Nasipuri M, Das N (2022) Carp-DCAE: Deep convolutional autoencoder for carp fish classification. Comput Electron Agric 196:106810","journal-title":"Comput Electron Agric"},{"key":"19760_CR23","doi-asserted-by":"publisher","first-page":"101248","DOI":"10.1016\/j.ecoinf.2021.101248","volume":"61","author":"NS Abinaya","year":"2021","unstructured":"Abinaya NS, Susan D, Kumar R (2021) Naive Bayesian fusion based deep learning networks for multisegmented classification of fishes in aquaculture industries. Ecol Inform 61:101248","journal-title":"Ecol Inform"},{"key":"19760_CR24","doi-asserted-by":"publisher","first-page":"102636","DOI":"10.1016\/j.displa.2023.102636","volume":"82","author":"D Giveki","year":"2024","unstructured":"Giveki D, Soltanshahi MA, Rastegar H (2024) Shape classification using a new shape descriptor and multi-view learning. Displays 82:102636","journal-title":"Displays"},{"key":"19760_CR25","doi-asserted-by":"publisher","first-page":"108593","DOI":"10.1016\/j.compeleceng.2023.108593","volume":"106","author":"H Rastegar","year":"2023","unstructured":"Rastegar H, Giveki D (2023) Designing a new deep convolutional neural network for content-based image retrieval with relevance feedback. Comput Electr Eng 106:108593","journal-title":"Comput Electr Eng"},{"key":"19760_CR26","doi-asserted-by":"publisher","first-page":"51","DOI":"10.3103\/S1060992X21010100","volume":"30","author":"D Giveki","year":"2021","unstructured":"Giveki D (2021) Improving the performance of convolutional neural networks for image classification. Opt Mem Neural Netw 30:51\u201366","journal-title":"Opt Mem Neural Netw"},{"key":"19760_CR27","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1007\/s11042-020-09759-9","volume":"80","author":"D Giveki","year":"2021","unstructured":"Giveki D (2021) Scale-space multi-view bag of words for scene categorization. Multimed Tools Appl 80:1223\u20131245","journal-title":"Multimed Tools Appl"},{"key":"19760_CR28","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1007\/s10044-020-00868-7","volume":"23","author":"D Giveki","year":"2020","unstructured":"Giveki D, Karami M (2020) Scene classification using a new radial basis function classifier and integrated SIFT\u2013LBP features. Pattern Anal Appl 23:1071\u20131084","journal-title":"Pattern Anal Appl"},{"key":"19760_CR29","first-page":"100672","volume":"26","author":"N Basil","year":"2023","unstructured":"Basil N, Marhoon HM, Ibrahim AR (2023) A new thrust vector-controlled rocket based on JOA using MCDA. Measurement: Sensors 26:100672","journal-title":"Measurement: Sensors"},{"key":"19760_CR30","first-page":"100640","volume":"25","author":"FS Raheem","year":"2023","unstructured":"Raheem FS, Basil N (2023) Automation intelligence photovoltaic system for power and voltage issues based on Black Hole Optimization algorithm with FOPID. Measurement: Sensors 25:100640","journal-title":"Measurement: Sensors"},{"key":"19760_CR31","doi-asserted-by":"publisher","unstructured":"Basil N, Marhoon HM, Gokulakrishnan S et al\u00a0(2022) Jaya optimization algorithm implemented on a new novel design of 6-DOF AUV body: a case study. Multimed Tools Appl . https:\/\/doi.org\/10.1007\/s11042-022-14293-x","DOI":"10.1007\/s11042-022-14293-x"},{"issue":"2","key":"19760_CR32","first-page":"2453","volume":"12","author":"HM Marhoon","year":"2021","unstructured":"Marhoon HM, Ibrahim AR, Basil N (2021) \u201cEnhancement of electro hydraulic position servo control system utilising ant lion optimiser.\u201d Int J Nonlinear Anal Appl (IJNAA) 12(2):2453\u20132461","journal-title":"Int J Nonlinear Anal Appl (IJNAA)"},{"issue":"2","key":"19760_CR33","first-page":"2008","volume":"12","author":"AR Ibrahim","year":"2021","unstructured":"Ibrahim AR, Basil N, Mahdi MI (2021) Implementation enhancement of AVR control system within optimization techniques. Int J Nonlinear Anal Appl (IJNAA) 12(2):2008\u20136822","journal-title":"Int J Nonlinear Anal Appl (IJNAA)"},{"issue":"2","key":"19760_CR34","first-page":"2008","volume":"12","author":"AR Ibrahim","year":"2021","unstructured":"Ibrahim AR, Basil N, Mahdi MI (2021) \u201cImplementation enhancement of AVR control system within optimization techniques.\u201d Int J Nonlinear Anal Appl (IJNAA) 12(2):2008\u20136822","journal-title":"Int J Nonlinear Anal Appl (IJNAA)"},{"issue":"3","key":"19760_CR35","doi-asserted-by":"publisher","first-page":"032017","DOI":"10.1088\/1757-899X\/928\/3\/032017","volume":"928","author":"N Basil","year":"2020","unstructured":"Basil N (2020) Rider optimization algorithm implemented on the AVR control system using MATLAB with FOPID. IOP Conf Ser Mater Sci Eng 928(3):032017","journal-title":"IOP Conf Ser Mater Sci Eng"},{"key":"19760_CR36","unstructured":"Mohammed YR, Basil N, Bayat O, Mohammed AH (2020) A new novel optimization techniques implemented on the AVR control system using MATLAB-SIMULINK. Res Gate 29(5):4515\u20134521"},{"key":"19760_CR37","doi-asserted-by":"publisher","unstructured":"Giveki D, Zaheri A, Allahyari N\u00a0(2024) Designing CNNs with optimal architectures using antlion optimization for plant leaf recognition. Multimed Tools Appl. https:\/\/doi.org\/10.1007\/s11042-024-18948-9","DOI":"10.1007\/s11042-024-18948-9"},{"key":"19760_CR38","doi-asserted-by":"crossref","unstructured":"Khojasteh P, Aliahmad B, Arjunan SP, Kumar DK (2018) Introducing a Novel Layer in Convolutional Neural Network for Automatic Identification of Diabetic Retinopathy. Annu Int Conf IEEE Eng Med Biol Soc, pp 5938 5941.\u00a0https:\/\/doi.org\/10.1109\/EMBC.2018.8513606","DOI":"10.1109\/EMBC.2018.8513606"},{"key":"19760_CR39","doi-asserted-by":"publisher","first-page":"18907","DOI":"10.1007\/s11042-022-14181-4","volume":"82","author":"H Rastegar","year":"2023","unstructured":"Rastegar H, Giveki D (2023) Designing a new deep convolutional neural network for skin lesion recognition. Multimed Tools Appl 82:18907\u201318923","journal-title":"Multimed Tools Appl"},{"key":"19760_CR40","doi-asserted-by":"publisher","unstructured":"Radhiyah A, Harsono T, Sigit R (2016) \"Comparison study of Gaussian and histogram equalization filter on dental radiograph segmentation for labelling dental radiograph,\" 2016 International Conference on Knowledge Creation and Intelligent Computing (KCIC), Manado, Indonesia, pp 253\u2013258. https:\/\/doi.org\/10.1109\/KCIC.2016.7883655","DOI":"10.1109\/KCIC.2016.7883655"},{"key":"19760_CR41","doi-asserted-by":"publisher","unstructured":"Md. Sarker MK, Rashwan H, Talavera E, Banu SF, Radeva P, Puig D (2019) MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams: Munich, Germany, September 8-14, 2018, Proceedings, Part V. https:\/\/doi.org\/10.1007\/978-3-030-11021-5_26","DOI":"10.1007\/978-3-030-11021-5_26"},{"key":"19760_CR42","doi-asserted-by":"publisher","first-page":"24","DOI":"10.3390\/sym13010024","volume":"13","author":"Y Jiang","year":"2021","unstructured":"Jiang Y, Yao H, Wu C, Liu W (2021) Multi-scale residual attention network for retinal vessels segmentation. Symmetry 13:24","journal-title":"Symmetry"},{"key":"19760_CR43","doi-asserted-by":"publisher","first-page":"113377","DOI":"10.1016\/j.eswa.2020.113377","volume":"152","author":"A Faramarzi","year":"2020","unstructured":"Faramarzi A, Heidarinejad M, Mirjalili S, Gandomi AH (2020) Marine predators algorithm: a nature-inspired metaheuristic. Exp Syst Appl 152:113377","journal-title":"Exp Syst Appl"},{"key":"19760_CR44","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1007\/s12065-022-00802-2","volume":"17","author":"H Rastegar","year":"2024","unstructured":"Rastegar H, Giveki D, Choubin M (2024) EEG signals classification using a new radial basis function neural network and jellyfish meta-heuristic algorithm. Evol Intell 17:1197\u20131208","journal-title":"Evol Intell"},{"key":"19760_CR45","doi-asserted-by":"publisher","unstructured":"Giveki D, Shakarami A, Tarrah H, Soltanshahi MA (2022) A new method for image classification and image retrieval using convolutional neural networks. Concurrency Computat Pract Exper 34(1):e6533. https:\/\/doi.org\/10.1002\/cpe.6533","DOI":"10.1002\/cpe.6533"},{"key":"19760_CR46","doi-asserted-by":"publisher","unstructured":"Brammya G, Praveena S, Preetha NSN, Ramya R, Rajakumar BR, Binu D (2019)\u00a0Deer hunting optimization algorithm: a new nature-inspired meta-heuristic paradigm. The Computer Journal.\u00a0https:\/\/doi.org\/10.1093\/comjnl\/bxy133","DOI":"10.1093\/comjnl\/bxy133"},{"key":"19760_CR47","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.matcom.2021.08.013","volume":"192","author":"FA Hashim","year":"2022","unstructured":"Hashim FA, Houssein EH, Hussain K, Mabrouk MS, Al-Atabany W (2022) Honey Badger algorithm: new metaheuristic algorithm for solving optimization problems. Math Comput Simul 192:84\u2013110","journal-title":"Math Comput Simul"},{"key":"19760_CR48","doi-asserted-by":"publisher","unstructured":"Chou J-S, Nguyen N-M (2020)\u00a0FBI inspired meta-optimization.\u00a0Appl Soft Comput.\u00a093:106339. https:\/\/doi.org\/10.1016\/j.asoc.2020.106339","DOI":"10.1016\/j.asoc.2020.106339"},{"key":"19760_CR49","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1093\/icesjms\/fsx109","volume":"75","author":"SA Siddiqui","year":"2018","unstructured":"Siddiqui SA, Salman A, Malik MI, Shafait F, Mian A, Shortis MR, Harvey ES (2018) Automatic fish species classification in underwater videos:exploiting pre-trained deep neural network models to compensate for limited labelled data. ICES J Mar Sci 75:374\u2013389","journal-title":"ICES J Mar Sci"},{"key":"19760_CR50","doi-asserted-by":"publisher","unstructured":"Agarwal AK, Tiwari RG, Khullar V, Kaushal RK (2021)\u00a0\"Transfer Learning Inspired Fish Species Classification,\" 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, pp 1154\u20131159.\u00a0https:\/\/doi.org\/10.1109\/SPIN52536.2021.9566067","DOI":"10.1109\/SPIN52536.2021.9566067"},{"key":"19760_CR51","doi-asserted-by":"publisher","first-page":"101320","DOI":"10.1016\/j.ecoinf.2021.101320","volume":"63","author":"S Villon","year":"2021","unstructured":"Villon S, Iovan C, Mangeas M, Claverie T, Mouillot D, Vill\u00e9ger S, Vigliola L (2021) Automatic underwater fish species classification with limited data using few-shot learning. Ecol Inform 63:101320","journal-title":"Ecol Inform"},{"key":"19760_CR52","doi-asserted-by":"crossref","unstructured":"Bhanumathi M, Arthi B (2022) FishRNFuseNET: development of heuristic-derived recurrent neural network with feature fusion strategy for fish species classification. Res Gate 66(1):1\u201342","DOI":"10.1007\/s10115-023-01987-3"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19760-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-19760-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-024-19760-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T13:35:10Z","timestamp":1732023310000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-024-19760-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,23]]},"references-count":52,"journal-issue":{"issue":"39","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["19760"],"URL":"https:\/\/doi.org\/10.1007\/s11042-024-19760-1","relation":{},"ISSN":["1573-7721"],"issn-type":[{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2024,7,23]]},"assertion":[{"value":"8 September 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 June 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 July 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The authors declare no conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}