{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T05:10:08Z","timestamp":1743743408233,"version":"3.40.3"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T00:00:00Z","timestamp":1645401600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T00:00:00Z","timestamp":1645401600000},"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":["Mobile Netw Appl"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s11036-021-01897-0","type":"journal-article","created":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T10:05:42Z","timestamp":1645437942000},"page":"1122-1139","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Community-Acquired Pneumonia Recognition by Wavelet Entropy and Cat Swarm Optimization"],"prefix":"10.1007","volume":"29","author":[{"given":"Shui-Hua","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Dong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,2,21]]},"reference":[{"issue":"8","key":"1897_CR1","doi-asserted-by":"crossref","first-page":"1198","DOI":"10.1016\/j.jiac.2021.03.016","volume":"27","author":"S Akahoshi","year":"2021","unstructured":"Akahoshi S et al (2021) Risk factors of bacteremia in children hospitalized with community-acquired pneumonia: a nested case-control study. J Infect Chemother 27(8):1198\u20131204","journal-title":"J Infect Chemother"},{"issue":"7","key":"1897_CR2","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1016\/j.jiac.2021.02.022","volume":"27","author":"N Takeuchi","year":"2021","unstructured":"Takeuchi N et al (2021) Emergence of Haemophilus influenzae with low susceptibility to quinolones isolated from pediatric patients in Japan. J Infect Chemother 27(7):1020\u20131026","journal-title":"J Infect Chemother"},{"key":"1897_CR3","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.micpath.2021.104924","volume":"156","author":"PG Lomardo","year":"2021","unstructured":"Lomardo PG et al (2021) Streptococcus pneumoniae prevalence in nasopharynx, oropharynx and gingival sulcus in Brazilian adults:A preliminary study. Microb Pathog 156:6 Article ID. 104924","journal-title":"Microb Pathog"},{"issue":"1","key":"1897_CR4","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/S0933-3657(03)00065-4","volume":"30","author":"PS Heckerling","year":"2004","unstructured":"Heckerling PS et al (2004) Use of genetic algorithms for neural networks to predict community-acquired pneumonia. Artif Intell Med 30(1):71\u201384","journal-title":"Artif Intell Med"},{"issue":"7","key":"1897_CR5","first-page":"15","volume":"60","author":"XL Liu","year":"2017","unstructured":"Liu XL et al (2017) A CADe system for nodule detection in thoracic CT images based on artificial neural network. Science China-Information Sciences 60(7):15 Article ID. 072106","journal-title":"Science China-Information Sciences"},{"key":"1897_CR6","doi-asserted-by":"crossref","unstructured":"Strehlitz A et al (2018) An Interferon Signature Discriminates Pneumococcal From Staphylococcal Pneumonia. Front Immunol 9 Article ID. 1424","DOI":"10.3389\/fimmu.2018.01424"},{"key":"1897_CR7","doi-asserted-by":"publisher","unstructured":"Ishimaru N et al (2021) Predicting mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays. Intern Emerg Med. https:\/\/doi.org\/10.1007\/s11739-021-02744-6","DOI":"10.1007\/s11739-021-02744-6"},{"key":"1897_CR8","doi-asserted-by":"crossref","unstructured":"Shi YY et al (2021) Int J Clin Pract 75(3):\u2013Validation of pneumonia prognostic scores in a statewide cohort of hospitalised patients with COVID-19 Article ID. e13926","DOI":"10.1111\/ijcp.13926"},{"key":"1897_CR9","doi-asserted-by":"crossref","unstructured":"Trelles-Garcia VP et al (2020) Impact of Protein Energy Malnutrition on Outcomes of Adults With Viral Pneumonia: A Nationwide Retrospective Analysis. Cureus 12(12) Article ID. e12274","DOI":"10.7759\/cureus.12274"},{"key":"1897_CR10","doi-asserted-by":"crossref","unstructured":"Abade AD et al (2019) Plant Diseases Recognition from Digital Images using Multichannel Convolutional Neural Networks. in 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Prague, CZECH REPUBLIC: IEEE. p. 450-458","DOI":"10.5220\/0007383904500458"},{"key":"1897_CR11","doi-asserted-by":"crossref","unstructured":"Singh, T., et al., Nondestructive identification of barley seeds variety using near-infrared hyperspectral imaging coupled with convolutional neural network. J Food Process Eng, 2021. 17: Article ID. e13821","DOI":"10.1111\/jfpe.13821"},{"issue":"6","key":"1897_CR12","doi-asserted-by":"crossref","first-page":"8257","DOI":"10.1007\/s11042-020-09886-3","volume":"80","author":"UK Mondal","year":"2021","unstructured":"Mondal UK et al (2021) Developing a dynamic cluster quantization based lossless audio compression (DCQLAC). Multimed Tools Appl 80(6):8257\u20138280","journal-title":"Multimed Tools Appl"},{"key":"1897_CR13","doi-asserted-by":"crossref","unstructured":"Teklemariam TA et al (2021) Attenuated Total Reflectance-Fourier transform infrared spectroscopy coupled with chemometrics for the rapid detection of coconut water adulteration. Food Chem 355 Article ID. 129616","DOI":"10.1016\/j.foodchem.2021.129616"},{"key":"1897_CR14","doi-asserted-by":"crossref","unstructured":"Chui CK et al (2021) Analysis of an adaptive short-time Fourier transform-based multicomponent signal separation method derived from linear chirp local approximation. J Comput Appl Math 396 Article ID. 113607","DOI":"10.1016\/j.cam.2021.113607"},{"key":"1897_CR15","doi-asserted-by":"crossref","unstructured":"Berkak E et al (2021) Boas-type theorems for the q-Bessel Fourier transform. Anal Math Phys 11(3) Article ID. 102","DOI":"10.1007\/s13324-021-00542-z"},{"issue":"6","key":"1897_CR16","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1109\/LMWC.2021.3067268","volume":"31","author":"M Alon","year":"2021","unstructured":"Alon M et al (2021) Envelope tracking power amplifier using short-time Fourier transform. IEEE Microwave and Wireless Components Letters 31(6):575\u2013578","journal-title":"IEEE Microwave and Wireless Components Letters"},{"key":"1897_CR17","doi-asserted-by":"crossref","unstructured":"Sharma S et al (2021) Improving the separability of drowsiness and alert EEG signals using analytic form of wavelet transform. Appl Acoust 181 Article ID. 108164","DOI":"10.1016\/j.apacoust.2021.108164"},{"key":"1897_CR18","doi-asserted-by":"crossref","unstructured":"Chaudhary PK et al (2021) Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform. Biomed Signal Process Control 64 Article ID. 102237","DOI":"10.1016\/j.bspc.2020.102237"},{"key":"1897_CR19","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/j.matpr.2020.12.160","volume":"43","author":"A Malhotra","year":"2021","unstructured":"Malhotra A et al (2021) Bearing fault diagnosis based on flexible analytical wavelet transform and fuzzy entropy approach. Mater Today-Proc 43:629\u2013635","journal-title":"Mater Today-Proc"},{"issue":"7","key":"1897_CR20","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.1049\/ipr2.12112","volume":"15","author":"T Rasal","year":"2021","unstructured":"Rasal T et al (2021) Mixed Poisson Gaussian noise reduction in fluorescence microscopy images using modified structure of wavelet transform. IET Image Process 15(7):1383\u20131398","journal-title":"IET Image Process"},{"key":"1897_CR21","doi-asserted-by":"crossref","unstructured":"Sathar MHA et al (2020) Numerical Solution of Nonlinear Fredholm and Volterra Integrals by Newton-Kantorovich and Haar Wavelets Methods. Symmetry-Basel 12(12) Article ID. 2034","DOI":"10.3390\/sym12122034"},{"key":"1897_CR22","doi-asserted-by":"crossref","unstructured":"Abasi N et al (2021) Enhancement spectra resolution for spectrophotometric simultaneous determination of triamcinolone, neomycin, and nystatin based on continuous wavelet transform and first derivative transform in commercial ointment formulation. Optik 226 Article ID. 165315","DOI":"10.1016\/j.ijleo.2020.165315"},{"issue":"2","key":"1897_CR23","doi-asserted-by":"crossref","first-page":"11","DOI":"10.5755\/j02.eie.28838","volume":"27","author":"T Sonmezocak","year":"2021","unstructured":"Sonmezocak T et al (2021) Detection of EMG signals by neural networks using autoregression and wavelet entropy for bruxism diagnosis. Elektronika Ir Elektrotechnika 27(2):11\u201321","journal-title":"Elektronika Ir Elektrotechnika"},{"issue":"5","key":"1897_CR24","first-page":"15","volume":"43","author":"APC de Sena","year":"2021","unstructured":"de Sena APC et al (2021) Fuzzy diagnostics for gearbox failures based on induction motor current and wavelet entropy. J Braz Soc Mech Sci Eng 43(5):15 Article ID. 265","journal-title":"J Braz Soc Mech Sci Eng"},{"key":"1897_CR25","doi-asserted-by":"crossref","unstructured":"Choudhary PS et al (2020) An Evaluation of Machine Learning Classifiers for Detection of Myocardial Infarction Using Wavelet Entropy and Eigenspace Features. in IEEE Applied Signal Processing Conference. . Kolkata, India: IEEE. p 222-226","DOI":"10.1109\/ASPCON49795.2020.9276680"},{"key":"1897_CR26","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1109\/TFUZZ.2020.3006520","volume":"29","author":"S Liu","year":"2021","unstructured":"Liu S et al (2021) Fuzzy detection aided real-time and robust visual tracking under complex environments. IEEE Trans Fuzzy Syst 29:90\u2013102. https:\/\/doi.org\/10.1109\/TFUZZ.2020.3006520","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1897_CR27","doi-asserted-by":"crossref","first-page":"2188","DOI":"10.1109\/TMM.2021.3065580","volume":"23","author":"S Liu","year":"2021","unstructured":"Liu S et al (2021) Human memory update strategy: a multi-layer template update mechanism for remote visual monitoring. IEEE Trans Multimed 23:2188\u20132198","journal-title":"IEEE Trans Multimed"},{"key":"1897_CR28","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1016\/j.neucom.2019.12.143","volume":"458","author":"S Liu","year":"2021","unstructured":"Liu S et al (2021) Effective template update mechanism in visual tracking with background clutter. Neurocomputing 458:615\u2013625","journal-title":"Neurocomputing"},{"issue":"6","key":"1897_CR29","doi-asserted-by":"crossref","first-page":"14032","DOI":"10.33263\/BRIAC116.1403214043","volume":"11","author":"M Ahmadi","year":"2021","unstructured":"Ahmadi M et al (2021) Monitoring and application of artificial neural network model for prediction of organophosphorus pesticides residue in Ahvaz water treatment plants. Biointerface Res Appl Chem 11(6):14032\u201314043","journal-title":"Biointerface Res Appl Chem"},{"key":"1897_CR30","doi-asserted-by":"crossref","unstructured":"Kumar R et al (2021) Evaluation of Pavement Condition Index Using Artificial Neural Network Approach. Transp Dev Econ 7(2) Article ID. 20","DOI":"10.1007\/s40890-021-00130-7"},{"key":"1897_CR31","doi-asserted-by":"crossref","unstructured":"Lawal AI et al (2021) Prediction of an environmental impact of tunnel blasting using ordinary artificial neural network, particle swarm and Dragonfly optimized artificial neural networks. Appl Acoust 181 Article ID. 108122","DOI":"10.1016\/j.apacoust.2021.108122"},{"key":"1897_CR32","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1016\/j.neucom.2020.07.138","volume":"452","author":"M Choras","year":"2021","unstructured":"Choras M et al (2021) Intrusion detection approach based on optimised artificial neural network. Neurocomputing 452:705\u2013715","journal-title":"Neurocomputing"},{"issue":"12","key":"1897_CR33","doi-asserted-by":"crossref","first-page":"18583","DOI":"10.1007\/s11042-021-10599-4","volume":"80","author":"S Nandhini","year":"2021","unstructured":"Nandhini S et al (2021) Improved crossover based monarch butterfly optimization for tomato leaf disease classification using convolutional neural network. Multimed Tools Appl 80(12):18583\u201318610","journal-title":"Multimed Tools Appl"},{"key":"1897_CR34","doi-asserted-by":"crossref","unstructured":"Dutta T et al (2021) Hyperspectral multi-level image thresholding using qutrit genetic algorithm. Expert Syst Appl 181 Article ID. 115107","DOI":"10.1016\/j.eswa.2021.115107"},{"issue":"7","key":"1897_CR35","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1080\/10426914.2020.1866196","volume":"36","author":"S Ahmad","year":"2021","unstructured":"Ahmad S et al (2021) Tri-objective constrained optimization of pulsating DC sourced magnetic abrasive finishing process parameters using artificial neural network and genetic algorithm. Mater Manuf Process 36(7):843\u2013857","journal-title":"Mater Manuf Process"},{"key":"1897_CR36","doi-asserted-by":"crossref","unstructured":"Chu SC et al (2006) Cat Swarm Optimization. in 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI). Guilin, P R CHINA: Springer-Verlag Berlin p 854-858","DOI":"10.1007\/11801603_94"},{"issue":"1","key":"1897_CR37","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1007\/s11269-020-02745-8","volume":"35","author":"MR Sharifi","year":"2021","unstructured":"Sharifi MR et al (2021) Developing MSA algorithm by new fitness-distance-balance selection method to optimize Cascade hydropower reservoirs operation. Water Resour Manag 35(1):385\u2013406","journal-title":"Water Resour Manag"},{"key":"1897_CR38","doi-asserted-by":"publisher","unstructured":"Ahmed AM et al (2021) Dynamic cat swarm optimization algorithm for backboard wiring problem. Neural Comput Applic. https:\/\/doi.org\/10.1007\/s00521-021-06041-3","DOI":"10.1007\/s00521-021-06041-3"},{"issue":"3","key":"1897_CR39","first-page":"1633","volume":"17","author":"DP Yan","year":"2020","unstructured":"Yan DP et al (2020) Single-objective\/multiobjective cat swarm optimization clustering analysis for data partition. IEEE Trans Autom Sci Eng 17(3):1633\u20131646","journal-title":"IEEE Trans Autom Sci Eng"},{"issue":"17","key":"1897_CR40","doi-asserted-by":"crossref","first-page":"22875","DOI":"10.1007\/s11042-018-6003-8","volume":"77","author":"P Qian","year":"2018","unstructured":"Qian P (2018) Cat swarm optimization applied to alcohol use disorder identification. Multimed Tools Appl 77(17):22875\u201322896","journal-title":"Multimed Tools Appl"},{"issue":"1","key":"1897_CR41","first-page":"1","volume":"11","author":"R Sadeghi","year":"2021","unstructured":"Sadeghi R et al (2021) Integration of 3D seismic attributes and well logs for Asmari reservoir characterization in the Ramshir oilfield, the Dezful embayment. SW Iran Geopersia 11(1):1\u201321","journal-title":"SW Iran Geopersia"},{"issue":"1","key":"1897_CR42","first-page":"76","volume":"22","author":"H Akhlaghi","year":"2021","unstructured":"Akhlaghi H et al (2021) Development of a novel and specialized cultivation method for isolating helicobacter pullorum from chicken meat. Iran J Vet Res 22(1):76\u201380","journal-title":"Iran J Vet Res"},{"key":"1897_CR43","doi-asserted-by":"crossref","unstructured":"Puri A et al (2021) Knowledge discovery from noisy imbalanced and incomplete binary class data. Expert Syst Appl 181 Article ID. 115179","DOI":"10.1016\/j.eswa.2021.115179"},{"key":"1897_CR44","doi-asserted-by":"crossref","unstructured":"Araujo JDL et al (2021) An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks. Expert Syst Appl 180 Article ID. 115064","DOI":"10.1016\/j.eswa.2021.115064"},{"key":"1897_CR45","doi-asserted-by":"crossref","unstructured":"Osamor IP et al (2020) OsamorSoft: clustering index for comparison and quality validation in high throughput dataset. Journal of Big Data 7(1) Article ID. 48","DOI":"10.1186\/s40537-020-00325-6"},{"issue":"5","key":"1897_CR46","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1016\/j.anl.2021.02.011","volume":"48","author":"N Sano","year":"2021","unstructured":"Sano N et al (2021) High CT values relative to the brainstem differentiate inverted papillomas from nasal polyps. Auris Nasus Larynx 48(5):905\u2013913","journal-title":"Auris Nasus Larynx"},{"key":"1897_CR47","doi-asserted-by":"crossref","unstructured":"Tsuchiya Y et al (2021) Myokine secretion following moderate-intensity endurance exercise under different environmental temperatures. Cytokine 144 Article ID. 155553","DOI":"10.1016\/j.cyto.2021.155553"}],"container-title":["Mobile Networks and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-021-01897-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11036-021-01897-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-021-01897-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T04:35:40Z","timestamp":1743741340000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11036-021-01897-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,21]]},"references-count":47,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["1897"],"URL":"https:\/\/doi.org\/10.1007\/s11036-021-01897-0","relation":{},"ISSN":["1383-469X","1572-8153"],"issn-type":[{"type":"print","value":"1383-469X"},{"type":"electronic","value":"1572-8153"}],"subject":[],"published":{"date-parts":[[2022,2,21]]},"assertion":[{"value":"12 October 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 February 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}