Artificial Intelligence For Sorting
Artificial Intelligence for Sorting is a computational methodology that integrates machine learning algorithms and sensor-based data processing to autonomously classify and segregate waste materials according to predefined categories, distinguishing itself from conventional sorting techniques through adaptive decision-making and pattern recognition capabilities.
144
Publications
6.5K
Citations
542
Authors
205
Institutions
Publications per year
2017–2026
120
Parents
144
RecycleNet: Intelligent Waste Sorting Using Deep Neural Networks
Cenk Bircanoğlu, Meltem Atay, Fuat Beşer et al. · 2018 · 218 citations
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205

Zhejiang University
Hangzhou, China
3 h-index
6 publications
218 citations
University of Anbar
Ramadi, Iraq
3 h-index
2 publications
238 citations
Qatar Foundation
Doha, Qatar
3 h-index
2 publications
363 citations

Qatar University
Doha, Qatar
3 h-index
8 publications
519 citations

University of Tehran
Tehran, Iran
3 h-index
6 publications
345 citations
Al-Muthanna University
As Samawah, Iraq
3 h-index
2 publications
238 citations
University of Tabriz
Tabriz, Iran
2 h-index
2 publications
40 citations
Academic Bridge Program
Al Rayyan, Qatar
2 h-index
1 publications
88 citations
1–8 of 205
7 publications · 342 citations
7
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7 publications · 212 citations
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3 publications · 85 citations
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4 publications · 172 citations
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2 publications · 204 citations
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