https://m2.mtmt.hu/ hun 2026-08-25 09:28 BookChapter 36342091 VALIDATED true 0 false 2025-10-16T08:58:02.459+0000 2025-10-16T08:55:17.908+0000 2025-09-22T07:15:59.500+0000 true 10094427 Nyitrai Erzsébet /api/admin/10094427 Admin false 2025-10-16T08:55:18.624+0000 2025-10-16T08:55:18.624+0000 2025-09-22T07:16:24.364+0000 true 10094427 Nyitrai Erzsébet /api/admin/10094427 Admin false true false true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType 228 true 10000312 true 1 /api/category/1 Category true 1 Duma, László Accurate and Efficient Solid Waste Recognition A Novel Approach Using Google Teachable Machine Based on Convolutional Neural Network (CNN) 11155517 11155517 6 2025 This paper explores the use of Convolutional Neural Networks (CNNs) for solid waste recognition, using Google Teachable Machine. A CNN model was trained on 13,745 images from Kaggle datasets to classify waste into four categories: Dangerous, Recyclable, Organic, and Non-Recyclable. Evaluation on 80 test images showed an overall accuracy of 82.5%, with the highest performance in the Dangerous, Organic and Non-Recyclable categories, while Recyclable waste had the highest misclassification rate. A confusion matrix analysis revealed that Recyclable waste was often misidentified as other categories. A comparison between manual testing and Google Teachable Machine’s accuracy reports showed consistent classification trends, reinforcing the importance of real-world validation. Accuracy and loss per epoch graphs confirmed stable training. The findings highlight the potential of AI in waste management and suggest improvements such as dataset expansion and real-time image augmentation. true 2025 true true true true true false PAY 2025-10-16 false 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 false false false false 2025-09-21T07:16:24.273+0000 Infokommunikáció Tanszék (BCE / AII) 1 11 1 2 0 true true 10002 English /api/language/10002 Angol Language true 2 false true 11822 true 10173 /api/country/10173 Country true 2151758 /api/city/11822 City true 10001144 true 29878118 PAY IDENTICAL /api/publicationidentifier/29878118 https://doi.org/10.1109/SKIMA66621.2025 10.1109/SKIMA66621.2025 PublicationIdentifier true 6 DOI https://doi.org/@@@ /api/publicationsource/6 DOI PlainSource true true 10001 /api/publicationsourcetype/10001 PublicationSourceType true true 6 true false true 29877649 IDENTICAL /api/publicationidentifier/29877649 https://www.worldcat.org/search?q=isbn%3A9781665457347 9781665457347 PublicationIdentifier true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 122 true false true 29878117 IDENTICAL /api/publicationidentifier/29878117 https://www.worldcat.org/search?q=isbn%3A9781665457354 9781665457354 PublicationIdentifier true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 122 true false /api/publication/36342092 true true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book 2025 International Conference on Software, Knowledge, Information Management & Applications (SKIMA) false false 36342092 false SUSPECT true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType 345 true 10000144 false Book 2025 true 1 /api/category/1 Category true 1 false Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 127867099 /api/authorship/127867099 1 0.5 true false false Author 10012959 /api/author/10012959 Duma László true 10012959 true Duma László true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 127867100 /api/authorship/127867100 2 0.5 false true false Cortijo Mendoza Marcos Daniel true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 29877650 /api/publicationidentifier/29877650 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true PAY IDENTICAL 10.1109/SKIMA66621.2025.11155517 https://doi.org/10.1109/SKIMA66621.2025.11155517 false true PublicationIdentifier 29878131 /api/publicationidentifier/29878131 PlainSource 22 /api/publicationsource/22 PublicationSourceType 10004 /api/publicationsourcetype/10004 false true true IEEE Xplore http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=@@@ true true 22 true IDENTICAL 11155517 http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=11155517 true true PublicationIdentifier 30006953 /api/publicationidentifier/30006953 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 105017700853 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105017700853 false true Keyword 3693 /api/keyword/3693 DUPLUM true 3693 true Keyword 12390 /api/keyword/12390 true 12390 true Keyword 17245 /api/keyword/17245 true 17245 true Keyword 1053201 /api/keyword/1053201 true 1053201 true Keyword 1343421 /api/keyword/1343421 true 1343421 true Keyword 3103928 /api/keyword/3103928 true true Keyword 3245382 /api/keyword/3245382 true true Reference 68255622 /api/reference/68255622 1 10.1016/j.resconrec.2020.105132 false true Reference 68255623 /api/reference/68255623 2 false true Reference 68255624 /api/reference/68255624 3 10.37859/jf.v14i3.8116 false true Reference 68255625 /api/reference/68255625 4 10.35314/wst8mh87 false true Reference 68255626 /api/reference/68255626 5 10.47002/metik.v8i2.956 false true Reference 68255627 /api/reference/68255627 6 10.3390/pr12081632 false true Reference 68255628 /api/reference/68255628 7 10.3390/resources10040028 false true Reference 68255629 /api/reference/68255629 8 10.1007/s10311-023-01604-3 false true Reference 68255630 /api/reference/68255630 9 false true Reference 68255631 /api/reference/68255631 10 false true Reference 68255632 /api/reference/68255632 11 10.1109/ncim59001.2023.10212868 false true Reference 68255633 /api/reference/68255633 12 false true Reference 68255634 /api/reference/68255634 13 false true Reference 68255635 /api/reference/68255635 14 10.1016/j.wmb.2024.11.002 false true Reference 68255636 /api/reference/68255636 15 10.5121/csit.2024.140428 false true Reference 68255637 /api/reference/68255637 16 false true Reference 68255638 /api/reference/68255638 17 10.1051/e3sconf/202455504008 false true /api/publication/36342091 <div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10012959"><a href="/gui2/?type=authors&mode=browse&sel=10012959" target="_blank">Duma László (<span class="authorship-author-name">Duma László</span> <span class="authorAux-mtmt"> Logisztika</span>) </a> </span> <span class="author-affil"><span title="Budapesti Corvinus Egyetem">BCE</span>/<span title="Adatelemzés és Informatika Intézet">AII</span>/Infokommunikáció Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Cortijo Mendoza Marcos Daniel </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36342091" target="_blank">Accurate and Efficient Solid Waste Recognition : A Novel Approach Using Google Teachable Machine Based on Convolutional Neural Network (CNN).</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-affil">IEEE Computer Society</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;36342092" target="_blank">2025 International Conference on Software, Knowledge, Information Management & Applications (SKIMA) </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Paisley, Egyesült Királyság / Skócia <span class="conference-date">2025.06.09. - 2025.06.11.</span> </div> <span class="publishedAt">Paisley: <span class="publishers">IEEE Computer Society</span>, <span class="page"> Paper 11155517. 6 p. </span> <span class="year">(2025)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_PAY" title=" Fizetős "> <a style="color:blue" title="10.1109/SKIMA66621.2025.11155517" target="_blank" href="https://doi.org/10.1109/SKIMA66621.2025.11155517"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="11155517" target="_blank" href="http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=11155517"> IEEE Xplore </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="105017700853" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105017700853"> Scopus </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_PAY" title=" Fizetős "> <a style="color:blue" title="10.1109/SKIMA66621.2025" target="_blank" href="https://doi.org/10.1109/SKIMA66621.2025"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="9781665457347" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9781665457347"> 9781665457347 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="9781665457354" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9781665457354"> 9781665457354 </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36342091</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> <span class="long-book-mtid">Befoglaló: 36342092</span> Forrás | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData"></span> </div> <div class="lastModified">Utolsó módosítás: 2025.10.16. 10:55 Nyitrai Erzsébet (BCE admin 5) </div> </div> </div>