[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review

H Herath, M Mittal - International Journal of Information Management Data …, 2022 - Elsevier
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

[HTML][HTML] Artificial intelligence for waste management in smart cities: a review

B Fang, J Yu, Z Chen, AI Osman, M Farghali… - Environmental …, 2023 - Springer
The rising amount of waste generated worldwide is inducing issues of pollution, waste
management, and recycling, calling for new strategies to improve the waste ecosystem, such …

Applications of convolutional neural networks for intelligent waste identification and recycling: A review

TW Wu, H Zhang, W Peng, F Lü, PJ He - Resources, Conservation and …, 2023 - Elsevier
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …

[HTML][HTML] Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature …

N Kroell, X Chen, K Greiff, A Feil - Waste Management, 2022 - Elsevier
Digital technologies hold enormous potential for improving the performance of future-
generation sorting and processing plants; however, this potential remains largely untapped …

[HTML][HTML] Machine learning approach for a circular economy with waste recycling in smart cities

X Chen - Energy Reports, 2022 - Elsevier
The information and communication technology (ICT) makes the smart city exchange
information with the general public and deliver higher-quality services to citizens. The …

[HTML][HTML] A 5g-enabled smart waste management system for university campus

E Longo, FA Sahin, AEC Redondi, P Bolzan… - Sensors, 2021 - mdpi.com
Future university campuses will be characterized by a series of novel services enabled by
the vision of Internet of Things, such as smart parking and smart libraries. In this paper, we …

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] The application of artificial intelligence in the effective battery life cycle in the closed circular economy model—A perspective

A Pregowska, M Osial, W Urbańska - Recycling, 2022 - mdpi.com
Global pollution of the environment is one of the most challenging environmental problems.
Electronic-based population and anthropogenic activity are the main reasons for …

[PDF][PDF] IoT-Based garbage container system using NodeMCU ESP32 microcontroller

A Anggrawan, S Hadi, C Satria - Journal of Advances in …, 2022 - researchgate.net
The way to increase the convenience of waste container users and monitor the level of
waste container content can be by utilizing IoT technology and building an intelligent waste …

Improving circularity in municipal solid waste management through machine learning in Latin America and the Caribbean

JCBF Bijos, VM Zanta, J Morató, LM Queiroz… - Sustainable Chemistry …, 2022 - Elsevier
Abstract Machine Learning (ML) consists of a set of methods that allow a system to learn
data patterns and has applications in many stages of MSWM. Improvements in MSWM …