{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T15:26:18Z","timestamp":1772205978669,"version":"3.50.1"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031505799","type":"print"},{"value":"9783031505805","type":"electronic"}],"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\/978-3-031-50580-5_26","type":"book-chapter","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T07:02:40Z","timestamp":1708412560000},"page":"298-307","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on Defective Apple Detection Based on Attention Module and ResNet-50 Network"],"prefix":"10.1007","author":[{"given":"Lei","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhua","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinjun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenkong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongyao","family":"Jing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kehua","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shijian","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,21]]},"reference":[{"issue":"03","key":"26_CR1","doi-asserted-by":"publisher","DOI":"10.1111\/jfpe.13976","volume":"45","author":"B Wang","year":"2022","unstructured":"Wang, B., Yin, J., et al.: Extraction and classification of apple defects under uneven illumination based on machine vision. J. Food Process Eng 45(03), e13976 (2022)","journal-title":"J. Food Process Eng"},{"issue":"2","key":"26_CR2","doi-asserted-by":"publisher","first-page":"906","DOI":"10.3390\/app12020906","volume":"12","author":"Y Abbaspour-Gilandeh","year":"2022","unstructured":"Abbaspour-Gilandeh, Y., Aghabara, A., Davari, M., et al.: Feasibility of using computer vision and artificial intelligence techniques in detection of some apple pests and diseases. Appl. Sci. 12(2), 906 (2022)","journal-title":"Appl. Sci."},{"issue":"4","key":"26_CR3","doi-asserted-by":"publisher","first-page":"423","DOI":"10.3390\/w13040423","volume":"13","author":"C Cheng","year":"2021","unstructured":"Cheng, C., Zhang, G.T.: Deep learning method based on physics informed neural network with resnet block for solving fluid flow problems. Water 13(4), 423 (2021)","journal-title":"Water"},{"issue":"07","key":"26_CR4","first-page":"30","volume":"51","author":"XUE Yong","year":"2020","unstructured":"Yong, X.U.E., Liyang, W.A.N.G., et al.: Defect detection method of apples based on GoogLeNet deep transfer learning. J. Agric. Mach. 51(07), 30\u201335 (2020)","journal-title":"J. Agric. Mach."},{"key":"26_CR5","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1007\/s00500-020-05158-2","volume":"25","author":"P Chithra","year":"2021","unstructured":"Chithra, P., Henila, M.: Apple fruit sorting using novel thresholding and area calculation algorithms. Soft. Comput.Comput. 25, 431\u2013445 (2021)","journal-title":"Soft. Comput.Comput."},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Chakraborty, S., Shamrat, F.M.J.M., Billah, M.M., et al.: Implementation of deep learning methods to identify rotten fruits. In: 25th International Conference on Trends in Electronics and Informatics (ICOEI), pp. 1207\u20131212. IEEE, Tirunelveli (2021)","DOI":"10.1109\/ICOEI51242.2021.9453004"},{"key":"26_CR7","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/978-981-15-7990-5_17","volume-title":"Proceedings of International Conference on Smart Computing and Cyber Security","author":"MD Nur Alam","year":"2021","unstructured":"Nur Alam, M.D., Thapamagar, R., Rasaili, T., Olimjonov, O., Al-Absi, A.A.: Apple defects detection based on average principal component using hyperspectral imaging. In: Pattnaik, P.K., Sain, M., Al-Absi, A.A., Kumar, P. (eds.) SMARTCYBER 2020. LNNS, vol. 149, pp. 173\u2013187. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-7990-5_17"},{"key":"26_CR8","doi-asserted-by":"publisher","first-page":"62460","DOI":"10.1109\/ACCESS.2021.3074713","volume":"9","author":"J He","year":"2021","unstructured":"He, J., Jiang, D.: Fully automatic model based on SE-resnet for bone age assessment. IEEE Access 9, 62460\u201362466 (2021)","journal-title":"IEEE Access"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Multimedia Technology and Enhanced Learning"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-50580-5_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T07:33:30Z","timestamp":1708414410000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50580-5_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031505799","9783031505805"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50580-5_26","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"value":"1867-8211","type":"print"},{"value":"1867-822X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"21 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICMTEL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Technology and Enhanced Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leicester","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","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":"28 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icmtel2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icmtel.eai-conferences.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy Plus","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"285","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"121","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}