{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T19:49:02Z","timestamp":1776196142304,"version":"3.50.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T00:00:00Z","timestamp":1669248000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,24]],"date-time":"2022-11-24T00:00:00Z","timestamp":1669248000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,24]]},"DOI":"10.1109\/iotais56727.2022.9975979","type":"proceedings-article","created":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T19:43:07Z","timestamp":1670960587000},"page":"122-128","source":"Crossref","is-referenced-by-count":8,"title":["Dairy Cow Behavior Recognition Using Computer Vision Techniques and CNN Networks"],"prefix":"10.1109","author":[{"given":"Roberta","family":"Avanzato","sequence":"first","affiliation":[{"name":"University of Catania,Dept. of Electrical, Electronic and Computer Engineering,Catania,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Beritelli","sequence":"additional","affiliation":[{"name":"University of Catania,Dept. of Electrical, Electronic and Computer Engineering,Catania,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valerio Francesco","family":"Puglisi","sequence":"additional","affiliation":[{"name":"University of Catania,Dept. of Mathematics and Computer Science,Catania,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Object detection in 20 years: A survey","author":"zou","year":"2019","journal-title":"arXiv preprint arXiv 1905 05992"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.01.025"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2015.02.012"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-7344-7"},{"key":"ref14","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and&#x00A1; 0.5 MB model size","author":"iandola","year":"2016","journal-title":"arXiv preprint arXiv 1602 07360"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106030"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICPECA51329.2021.9362711"},{"key":"ref17","first-page":"779","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"1904","DOI":"10.1109\/TPAMI.2015.2389824","article-title":"Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition","volume":"37","author":"he","year":"2015","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref19","article-title":"Yolov5 in pytorch","author":"jocher","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.10.029"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.104944"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.tvjl.2019.01.005"},{"key":"ref5","first-page":"183","article-title":"An Innovative Acoustic Rain Gauge Based on Convolutional Neural Networks","volume":"11","author":"avanzato","year":"2020","journal-title":"MDPI Information 2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/s19204547"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.applanim.2019.01.008"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2018.02.016"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2018.10.018"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2972699"},{"key":"ref20","article-title":"Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation","author":"li","year":"2022","journal-title":"arXiv preprint arXiv 2206 02777"},{"key":"ref22","first-page":"89","article-title":"Pathological liver segmentation using stochastic resonance and cellular automata. Journal of Visual Communication and Image Representation","volume":"34","author":"dakua","year":"2016"},{"key":"ref21","first-page":"257","article-title":"A PCA-based approach for brain aneurysm segmentation. Multidimensional Systems and Signal Processing","volume":"29","author":"dakua","year":"2018"},{"key":"ref23","article-title":"BoT-SORT: Robust Associations Multi-Pedestrian Tracking","author":"aharon","year":"2022","journal-title":"arXiv preprint arXiv 2206 14651"}],"event":{"name":"2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","location":"BALI, Indonesia","start":{"date-parts":[[2022,11,24]]},"end":{"date-parts":[[2022,11,26]]}},"container-title":["2022 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9975794\/9975848\/09975979.pdf?arnumber=9975979","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T20:12:51Z","timestamp":1674504771000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9975979\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,24]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/iotais56727.2022.9975979","relation":{},"subject":[],"published":{"date-parts":[[2022,11,24]]}}}