{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T18:57:30Z","timestamp":1776884250978,"version":"3.51.2"},"reference-count":102,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003093","name":"Ministry of Higher Education Malaysia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003093","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003093","name":"Universiti Sains Malaysia (USM) for Long-Term Research Grant Scheme (LRGS) Malaysian Research University Network","doi-asserted-by":"publisher","award":["LRGS MRUN\/F2\/01\/2019"],"award-info":[{"award-number":["LRGS MRUN\/F2\/01\/2019"]}],"id":[{"id":"10.13039\/501100003093","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3226682","type":"journal-article","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T17:50:12Z","timestamp":1670262612000},"page":"128151-128165","source":"Crossref","is-referenced-by-count":82,"title":["A Survey on Waste Detection and Classification Using Deep Learning"],"prefix":"10.1109","volume":"10","author":[{"given":"Haruna","family":"Abdu","sequence":"first","affiliation":[{"name":"School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3300-3270","authenticated-orcid":false,"given":"Mohd Halim","family":"Mohd Noor","sequence":"additional","affiliation":[{"name":"School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia"}]}],"member":"263","reference":[{"key":"ref39","article-title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","author":"wang","year":"2022","journal-title":"arXiv 2207 02696"},{"key":"ref38","year":"2022","journal-title":"YOLOv7 The Fastest Object Detection Algorithm"},{"key":"ref33","first-page":"740","article-title":"Microsoft COCO: Common objects in context","volume":"8693","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA.2018.8466276"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","author":"he","year":"2022","journal-title":"Deep residual learning for image recognition"},{"key":"ref37","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020","journal-title":"arXiv 2004 10934"},{"key":"ref36","author":"redmon","year":"2022","journal-title":"YOLOv3 An Incremental Improvement"},{"key":"ref35","article-title":"You only learn one representation: Unified network for multiple tasks","author":"wang","year":"2021","journal-title":"arXiv 2105 04206"},{"key":"ref34","article-title":"Rich feature hierarchies for accurate object detection and semantic segmentation","author":"girshick","year":"2013","journal-title":"arXiv 1311 2524"},{"key":"ref28","article-title":"Inception-v4, inception-ResNet and the impact of residual connections on learning","author":"szegedy","year":"2016","journal-title":"arXiv 1602 07261"},{"key":"ref27","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref29","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11356-021-12816-x"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.06.229"},{"key":"ref21","first-page":"42","article-title":"A literature review of underwater image","volume":"347","author":"wang","year":"2022","journal-title":"Frontiers in Artificial Intelligence and Applications"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1016\/j.wasman.2021.12.001"},{"key":"ref26","author":"krizhevsky","year":"2022","journal-title":"ImageNet Classification with Deep Convolutional Neural Networks"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1016\/j.wasman.2021.08.038"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref50","first-page":"1","article-title":"Smart trash Net: Waste localization and classification","author":"mengistu","year":"2017"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/2971648.2971731"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO54168.2021.9739288"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.15837\/ijccc.2021.4.4172"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3031990"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2021.101752"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1617\/1\/012015"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-022-01232-0"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.cscee.2020.100026"},{"key":"ref52","article-title":"Attention neural network for trash detection on water channels","author":"tharani","year":"2020","journal-title":"arXiv 2007 04639"},{"key":"ref40","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2015","journal-title":"arXiv 1506 02640"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/0734242X14536463"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph120201216"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICREST51555.2021.9331183"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRITO51393.2021.9596382"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolind.2022.108930"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1051\/matecconf\/201823201056"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2022.101755"},{"key":"ref9","author":"bhandari","year":"2020","journal-title":"Automatic Waste Sorting In Industrial Environments Via Machine Learning Approaches"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/EAIS48028.2020.9122693"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1069\/1\/012032"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793975"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00667"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00667"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00094"},{"key":"ref43","article-title":"EfficientDet: Scalable and efficient object detection","author":"tan","year":"2019","journal-title":"arXiv 1911 09070"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/4793555"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1994\/1\/012022"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/1055604"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1145\/3417473.3417474"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CIS-RAM47153.2019.9095775"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197575"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.3390\/su14053099"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2959033"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378287"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/514\/3\/032043"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2019.8929270"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-06794-5_20"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/BigData52589.2021.9671821"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/su14137854"},{"key":"ref64","article-title":"Classification of trash for recyclability status","author":"yang","year":"2016"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5060857"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-06146-2"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3424978.3425089"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/Indo-TaiwanICAN48429.2020.9181311"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2022.0130347"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6626948"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.31436\/ijpcc.v6i2.165"},{"key":"ref95","year":"2022","journal-title":"DeepSeaWaste | Kaggle"},{"key":"ref94","year":"2022","journal-title":"Garbage | Kaggle"},{"key":"ref93","year":"2022","journal-title":"Drinking Waste Classification | Kaggle"},{"key":"ref92","year":"2022","journal-title":"Litter Dataset"},{"key":"ref91","year":"2022","journal-title":"OpenLitterMap"},{"key":"ref90","year":"2022","journal-title":"Waste Images From Sushi Restaurant | Kaggle"},{"key":"ref102","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"arXiv 1506 01497"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.23919\/FRUCT54823.2022.9770922"},{"key":"ref99","year":"2022","journal-title":"Letsdoitworld\/Wade-AI An AI Algorithm for Detecting Trash in Geolocated Images"},{"key":"ref96","year":"2022","journal-title":"Datacluster-Labs\/Domestic-Trash-Dataset"},{"key":"ref97","year":"2022","journal-title":"Cigarette Butt Dataset&#x2014;Immersive Limit"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-2369-7_3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2010.09.025"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.32604\/csse.2021.017016"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"19","DOI":"10.17148\/IJARCCE.2018.71104","article-title":"Survey of object detection using deep neural networks","volume":"7","author":"swetha","year":"2018","journal-title":"Int J Adv Res Comput Commun Eng"},{"key":"ref14","author":"yewange","year":"2022","journal-title":"Real-Time Object Detection by using Deep Learning A Survey"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/s21155116"},{"key":"ref16","first-page":"3082","article-title":"Literature survey on object detection using YOLO","volume":"7","author":"rekha","year":"2020","journal-title":"Int Res J Eng Technol"},{"key":"ref82","article-title":"TACO: Trash annotations in context for litter detection","author":"f proen\u00e7a","year":"2020","journal-title":"arXiv 2003 06975"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3051099"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/RTEICT52294.2021.9573599"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10661-012-2738-2"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68720-9_8"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.14419\/ijet.v7i2.8.10513"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.3390\/rs13050965"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/ICHCI54629.2021.00062"},{"key":"ref89","year":"2022","journal-title":"Waste Classification Data | Kaggle"},{"key":"ref85","year":"2022","journal-title":"Glassense-Vision Dataset"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.3390\/s20143816"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1186\/s40965-018-0050-y"},{"key":"ref88","year":"2022","journal-title":"Waste\\_Pictures | Kaggle"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09970346.pdf?arnumber=9970346","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T06:00:31Z","timestamp":1769493631000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9970346\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":102,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3226682","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}