AIoT for sustainable manufacturing: Overview, challenges, and opportunities

A Matin, MR Islam, X Wang, H Huo, G Xu - Internet of Things, 2023 - Elsevier
The integration of IoT and AI has gained significant attention as an emerging means to
digitize manufacturing industries and drive sustainability in the context of Industry 4.0. In …

A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment

UK Lilhore, S Simaiya, S Dalal… - Multimedia Tools and …, 2024 - Springer
Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …

[HTML][HTML] Smart waste management: A paradigm shift enabled by artificial intelligence

DB Olawade, O Fapohunda, OZ Wada… - Waste Management …, 2024 - Elsevier
Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

[PDF][PDF] Waste Management Bulletin

DB Olawade, OZ Wada, OT Ore, AC David-Olawade… - researchgate.net
Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …