Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning
As global waste production grows, sustainable waste management (WM) has become an issue for modern societies. This paper explores the integration of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve waste management (WM) systems by enhancing automati...
Saved in:
Main Authors: | Son V.T. Dao, Tuan M. Le, Hieu M. Tran, Hung V. Pham, Minh T. Vu, Tuan Chu |
---|---|
Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2025-01-01
|
Series: | Watershed Ecology and the Environment |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589471425000270 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Refining Graduation Classification Accuracy with Synergistic Deep Learning Models
by: Son Nguyen Thi Kim, et al.
Published: (2025-06-01) -
Optimizing a Dynamic Vehicle Routing Problem with Deep Reinforcement Learning: Analyzing State-Space Components
by: Anna Konovalenko, et al.
Published: (2024-10-01) -
Distributionally Robust and Learning-Based Vehicle Routing for Disaster Blood Logistics
by: I. Hssini
Published: (2025-01-01) -
A Deep Reinforcement-Learning-Based Route Optimization Model for Multi-Compartment Cold Chain Distribution
by: Jingming Hu, et al.
Published: (2025-06-01) -
Green Ground: Construction and Demolition Waste Prediction Using a Deep Learning Algorithm
by: Wadha N. Alsheddi, et al.
Published: (2025-06-01)