{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T22:56:30Z","timestamp":1774652190487,"version":"3.50.1"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031961953","type":"print"},{"value":"9783031961960","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-96196-0_3","type":"book-chapter","created":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T18:13:34Z","timestamp":1750529614000},"page":"31-44","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["AI-Based Automatic Counting and\u00a0Classification of\u00a0aedes Mosquito Eggs In\u00a0Field Traps"],"prefix":"10.1007","author":[{"given":"Jordi","family":"Grau-Haro","sequence":"first","affiliation":[]},{"given":"Javier","family":"Naranjo-Alcazar","sequence":"additional","affiliation":[]},{"given":"Jesus","family":"Lopez-Ballester","sequence":"additional","affiliation":[]},{"given":"David","family":"Almenar","sequence":"additional","affiliation":[]},{"given":"Pedro","family":"Zuccarello","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,6,22]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Naddaf, M.: Dengue is spreading in Europe: how worried should we be? Nature (2023)","DOI":"10.1038\/d41586-023-03407-6"},{"key":"3_CR2","volume-title":"Sterile Insect Technique: Principles and Practice in Area-Wide Integrated Pest Management","year":"2005","unstructured":"Dyck, V.A., Hendrichs, J., Robinson, A.S. (eds.): Sterile Insect Technique: Principles and Practice in Area-Wide Integrated Pest Management. Springer, Dordrecht (2005)"},{"issue":"3","key":"3_CR3","doi-asserted-by":"publisher","first-page":"272","DOI":"10.3390\/insects12030272","volume":"12","author":"C Tur","year":"2021","unstructured":"Tur, C., et al.: Sterile insect technique in an integrated vector management program against tiger mosquito Aedes albopictus in the Valencia region (Spain): operating procedures and quality control parameters. Insects 12(3), 272 (2021)","journal-title":"Insects"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Garcia, P.S.C., Martins, R., Coelho, G.L.L.M., C\u00e1mara-Ch\u00e1vez, G.: Acquisition of digital images and identification of Aedes Aegypti mosquito eggs using classification and deep learning. In: 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 47\u201353. IEEE (2019)","DOI":"10.1109\/SIBGRAPI.2019.00015"},{"issue":"12","key":"3_CR5","doi-asserted-by":"publisher","first-page":"1987","DOI":"10.1109\/TLA.2019.9011543","volume":"17","author":"CJ de Santana","year":"2019","unstructured":"de Santana, C.J., Firmo, A., de Oliveira, R., Lins, P., de Lima, G.A., de Lima, R.A.: A solution for counting Aedes aegypti and Aedes albopictus eggs in paddles from ovitraps using deep learning. IEEE Lat. Am. Trans. 17(12), 1987\u20131994 (2019)","journal-title":"IEEE Lat. Am. Trans."},{"key":"3_CR6","unstructured":"Dai, J., Li, Y., He, K., Sun, J.: R-FCN: object detection via region-based fully convolutional networks. In: Lee, D., Sugiyama, M., Luxburg, U., Guyon, I., Garnett, R. (eds.) Advances in Neural Information Processing Systems 29 (NIPS 2016), vol. 29. Curran Associates, Inc. (2016)"},{"key":"3_CR7","unstructured":"Vicente, M.N.O., et al.: Aedes aegypti egg counting with neural networks for object detection. arXiv (2024)"},{"issue":"6","key":"3_CR8","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2016","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/978-3-030-58548-8_24","volume-title":"Computer Vision \u2013 ECCV 2020","author":"J Wang","year":"2020","unstructured":"Wang, J., et al.: Side-aware boundary localization for more precise object detection. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12349, pp. 403\u2013419. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58548-8_24"},{"key":"3_CR10","doi-asserted-by":"publisher","first-page":"7389","DOI":"10.1109\/TIP.2020.3002345","volume":"29","author":"T Kong","year":"2020","unstructured":"Kong, T., Sun, F., Liu, H., Jiang, Y., Li, L., Shi, J.: Foveabox: beyound anchor-based object detection. IEEE Trans. Image Process. 29, 7389\u20137398 (2020)","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"3_CR11","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1186\/s13071-023-05956-1","volume":"16","author":"N Javed","year":"2023","unstructured":"Javed, N., L\u00f3pez-Denman, A.J., Paradkar, P.N., Bhatti, A.: EggCountAI: a convolutional neural network-based software for counting of Aedes aegypti mosquito eggs. Parasites Vectors 16(1), 341 (2023)","journal-title":"Parasites Vectors"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: Proceedings of the 2017 IEEE International Conference on Computer Vision (ICCV), pp. 2980\u20132988. IEEE (2017)","DOI":"10.1109\/ICCV.2017.322"},{"issue":"5","key":"3_CR13","doi-asserted-by":"publisher","first-page":"1483","DOI":"10.1109\/TPAMI.2019.2956516","volume":"43","author":"Z Cai","year":"2019","unstructured":"Cai, Z., Vasconcelos, N.: Cascade R-CNN: high quality object detection and instance segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 43(5), 1483\u20131498 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Zhan, X., Liu, Y., Zhu, J., Li, Y.: Homography decomposition networks for planar object tracking. In: Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), pp. 3234\u20133242. Association for the Advancement of Artificial Intelligence (AAAI) (2022)","DOI":"10.1609\/aaai.v36i3.20232"}],"container-title":["Communications in Computer and Information Science","Engineering Applications of Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-96196-0_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T18:13:37Z","timestamp":1750529617000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-96196-0_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031961953","9783031961960"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-96196-0_3","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"22 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Engineering Applications of Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Limassol","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cyprus","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eann2025a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eannconf.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}