{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T20:36:11Z","timestamp":1743107771175,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031733178"},{"type":"electronic","value":"9783031733185"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-73318-5_42","type":"book-chapter","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T12:54:17Z","timestamp":1735217657000},"page":"405-416","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Convolutional Neural Networks for Image Classification Using the SPSS Method"],"prefix":"10.1007","author":[{"given":"D.","family":"Chandraprakash","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D. R.","family":"Pallavi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Ramachandran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chinnasami","family":"Sivaji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Amudha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,27]]},"reference":[{"issue":"9","key":"42_CR1","doi-asserted-by":"publisher","first-page":"2352","DOI":"10.1162\/NECO_a_00990","volume":"29","author":"W Rawat","year":"2017","unstructured":"Rawat W, Wang Z (2017) Deep convolutional neural networks for image classification: a comprehensive review. Neural Comput 29(9):2352\u20132449. https:\/\/doi.org\/10.1162\/NECO_a_00990","journal-title":"Neural Comput"},{"key":"42_CR2","doi-asserted-by":"publisher","unstructured":"Guo T et al (2017) Simple convolutional neural network on image classification. In: Conference on big data analysis (ICBDA), I. E. E. E. 2nd international. IEEE, pp 721\u2013724. https:\/\/doi.org\/10.1109\/ICBDA.2017.8078730","DOI":"10.1109\/ICBDA.2017.8078730"},{"key":"42_CR3","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/j.procs.2018.05.198","volume":"132","author":"N Sharma","year":"2018","unstructured":"Sharma N et al (2018) An analysis of convolutional neural networks for image classification. Procedia Comput Sci 132:377\u2013384. https:\/\/doi.org\/10.1016\/j.procs.2018.05.198","journal-title":"Procedia Comput Sci"},{"key":"42_CR4","doi-asserted-by":"publisher","unstructured":"Li Q et al (2014) Medical image classification with convolutional neural network. In: 13th international conference on control. automation robotics & vision (ICARCV). IEEE, pp 844\u2013848. https:\/\/doi.org\/10.1109\/ICARCV.2014.7064414","DOI":"10.1109\/ICARCV.2014.7064414"},{"issue":"10","key":"42_CR5","doi-asserted-by":"publisher","first-page":"3443","DOI":"10.3390\/app10103443","volume":"10","author":"J Naranjo-Torres","year":"2020","unstructured":"Naranjo-Torres J et al (2020) A review of convolutional neural network applied to fruit image processing. Appl Sci 10(10):3443. https:\/\/doi.org\/10.3390\/app10103443","journal-title":"Appl Sci"},{"key":"42_CR6","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.isprsjprs.2017.11.021","volume":"145","author":"ME Paoletti","year":"2018","unstructured":"Paoletti ME et al (2018) A new deep convolutional neural network for fast hyperspectral image classification. ISPRS J Photogramm 145:120\u2013147. https:\/\/doi.org\/10.1016\/j.isprsjprs.2017.11.021","journal-title":"ISPRS J Photogramm"},{"issue":"2","key":"42_CR7","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1109\/TEVC.2019.2916183","volume":"24","author":"Y Sun","year":"2019","unstructured":"Sun Y et al (2019) Evolving deep convolutional neural networks for image classification. IEEE Trans Evol Comput 24(2):394\u2013407. https:\/\/doi.org\/10.1109\/TEVC.2019.2916183","journal-title":"IEEE Trans Evol Comput"},{"key":"42_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2015\/258619","volume":"2015","author":"W Hu","year":"2015","unstructured":"Hu W et al (2015) Deep convolutional neural networks for hyperspectral image classification. J Sens 2015:1\u201312. https:\/\/doi.org\/10.1155\/2015\/258619","journal-title":"J Sens"},{"issue":"1","key":"42_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-019-0276-2","volume":"6","author":"SS Yadav","year":"2019","unstructured":"Yadav SS, Jadhav SM (2019) Deep convolutional neural network based medical image classification for disease diagnosis. J Big Data 6(1):1\u201318. https:\/\/doi.org\/10.1186\/s40537-019-0276-2","journal-title":"J Big Data"},{"key":"42_CR10","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.neucom.2016.09.010","volume":"219","author":"S Yu","year":"2017","unstructured":"Yu S et al (2017) Convolutional neural networks for hyperspectral image classification. Neurocomputing 219:88\u201398. https:\/\/doi.org\/10.1016\/j.neucom.2016.09.010","journal-title":"Neurocomputing"},{"key":"42_CR11","doi-asserted-by":"publisher","unstructured":"Pal KK, Sudeep KS (2016) Preprocessing for image classification by convolutional neural networks. In: IEEE international conference on recent trends in electronics, information & communication technology (RTEICT). IEEE, pp 1778\u20131781. https:\/\/doi.org\/10.1109\/RTEICT.2016.7808140","DOI":"10.1109\/RTEICT.2016.7808140"},{"issue":"1","key":"42_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13640-019-0417-8","volume":"2019","author":"M Xin","year":"2019","unstructured":"Xin M, Wang Y (2019) Research on image classification model based on deep convolution neural network. EURASIP J Image Video Process 2019(1):1\u201311. https:\/\/doi.org\/10.1186\/s13640-019-0417-8","journal-title":"EURASIP J Image Video Process"},{"key":"42_CR13","doi-asserted-by":"publisher","unstructured":"Al-Saffar AAM et al (2017) Review of deep convolution neural network in image classification. In: International conference on radar, antenna, microwave, electronics, and telecommunications (ICRAMET). IEEE, pp 26\u201331. https:\/\/doi.org\/10.1109\/ICRAMET.2017.8253139","DOI":"10.1109\/ICRAMET.2017.8253139"},{"key":"42_CR14","doi-asserted-by":"publisher","unstructured":"Spanhol FA et al (2016) Breast cancer histopathological image classification using convolutional neural networks. In: international joint conference on neural networks (IJCNN). IEEE, pp 2560\u20132567. https:\/\/doi.org\/10.1109\/IJCNN.2016.7727519","DOI":"10.1109\/IJCNN.2016.7727519"},{"issue":"2","key":"42_CR15","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/TGRS.2016.2612821","volume":"55","author":"E Maggiori","year":"2016","unstructured":"Maggiori E et al (2016) Convolutional neural networks for large-scale remote-sensing image classification. IEEE Trans Geosci Remote Sens 55(2):645\u2013657. https:\/\/doi.org\/10.1109\/TGRS.2016.2612821","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"2","key":"42_CR16","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1007\/s12008-022-01003-y","volume":"17","author":"K Dey","year":"2023","unstructured":"Dey K et al (2023) Prediction performance analysis of neural network models for an electrical discharge turning process. Int J Interact Des Manuf 17(2):827\u2013845. https:\/\/doi.org\/10.1007\/s12008-022-01003-y","journal-title":"Int J Interact Des Manuf"},{"issue":"12","key":"42_CR17","doi-asserted-by":"publisher","first-page":"1935","DOI":"10.1109\/LGRS.2016.2618840","volume":"13","author":"Y Zhou","year":"2016","unstructured":"Zhou Y et al (2016) Polarimetric SAR image classification using deep convolutional neural networks. IEEE Geosci Remote Sens Lett 13(12):1935\u20131939. https:\/\/doi.org\/10.1109\/LGRS.2016.2618840","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"3","key":"42_CR18","first-page":"160","volume":"16","author":"H Kim","year":"2018","unstructured":"Kim H et al (2018) Convolutional neural network based image processing system. J Inf Commun Converg Eng 16(3):160\u2013165","journal-title":"J Inf Commun Converg Eng"},{"issue":"5","key":"42_CR19","doi-asserted-by":"publisher","first-page":"3223","DOI":"10.3390\/app13053223","volume":"13","author":"N Ganesh","year":"2023","unstructured":"Ganesh N et al (2023) Efficient feature selection using weighted superposition attraction optimization algorithm. Appl Sci 13(5):3223. https:\/\/doi.org\/10.3390\/app13053223","journal-title":"Appl Sci"},{"issue":"2","key":"42_CR20","doi-asserted-by":"publisher","first-page":"906","DOI":"10.3390\/app13020906","volume":"13","author":"J Priyadarshini","year":"2023","unstructured":"Priyadarshini J et al (2023) Analyzing physics-inspired metaheuristic algorithms in feature selection with K-nearest-neighbor. Appl Sci 13(2):906. https:\/\/doi.org\/10.3390\/app13020906","journal-title":"Appl Sci"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Computing and Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73318-5_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T13:06:06Z","timestamp":1735218366000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73318-5_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031733178","9783031733185"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73318-5_42","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing & Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Phnom Penh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambodia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ico2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icico.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}