Cover Image

Artificial Intelligence‐Based Waste Management: A Review of Classification, Techniques, Issues, and Challenges

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Dhanashree Vipul Yevle, Palvinder Singh Mann
Format:	Artículo Open Access
Published:	Wiley 2025
Subjects:	WIREs Data Mining and Knowledge Discovery
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review
by: Samiul Based Shuvo, et al.
Published: (2025)

Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions‐ Review
by: Mangayarkarasi Ramaiah, et al.
Published: (2025)

Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review
by: Ali Kohan, et al.
Published: (2025)

Artificial Intelligence for Road Anomaly Detection: A Review
by: Rohit Samanta, et al.
Published: (2026)

Long Document Classification in the Transformer Era: A Survey on Challenges, Advances, and Open Issues
by: Renzo Alva Principe, et al.
Published: (2025)

Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives
by: Akansha Singh, et al.
Published: (2025)

Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
by: Hakan Uyanik, et al.
Published: (2025)

The Role of Causality in Explainable Artificial Intelligence
by: Gianluca Carloni, et al.
Published: (2025)

A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications
by: Amutha Sadasivan, et al.
Published: (2025)

A Review on Medical Image Segmentation: Datasets, Technical Models, Challenges and Solutions
by: Hong‐Seng Gan, et al.
Published: (2025)

A Review of Unlabeled and Imbalanced Data Challenges in Machine Learning: Strategies and Solutions
by: Neethu M S, et al.
Published: (2025)

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them
by: Toshitaka Hayashi, et al.
Published: (2026)

Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges
by: Carolina Natel, et al.
Published: (2026)

Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study
by: Antonino Rullo, et al.
Published: (2024)

The Evolution of Digital Image Forgery Detection: A Comprehensive Bibliometric Review, Trends, and Future Prospects
by: Rupinder Kaur, et al.
Published: (2026)

Nature‐Inspired Optimization Techniques in Deep Learning for Cybersecurity
by: S. Kumar Reddy Mallidi, et al.
Published: (2026)

A Comprehensive Survey of Argument Mining in the Educational Domain: Techniques, Applications, and Future Directions
by: David Eduardo Pereira, et al.
Published: (2025)

A Survey on Medical Document Summarization: From Machine Learning Techniques to Large Language Models
by: Akash Ghosh, et al.
Published: (2025)

A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives
by: Himanshu Suyal, et al.
Published: (2025)

Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis
by: S. Tamilselvan, et al.
Published: (2024)

Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight
by: Megha Khandelwal, et al.
Published: (2025)

A Privacy‐Preserving Threat Intelligence Model for Secure Healthcare Data Sharing in the Cloud
by: I. Sakthidevi, et al.
Published: (2026)

Neuromorphic Computing and Applications: A Topical Review
by: Pavan Kumar Enuganti, et al.
Published: (2025)

Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)
by: Massimo Salvi, et al.
Published: (2024)

A Systematic Review on Process Mining for Curricular Analysis
by: Daniel Calegari, et al.
Published: (2025)

Issue Information
Published: (2025)

Issue Information
Published: (2025)

Issue Information
Published: (2024)

Issue Information
Published: (2024)

Issue Information
Published: (2026)

Issue Information
Published: (2024)

Issue Information
Published: (2024)

Issue Information
Published: (2024)

Issue Information
Published: (2024)

Data as an Asset: Economic Traits, Market Dynamics, and Monetization Challenges
by: Petter Kvalvik, et al.
Published: (2026)

From Traditional to Foundation Models: A Survey for Land Use and Land Cover Hyperspectral Image Classification
by: Radhesyam Vaddi, et al.
Published: (2025)

A Survey on Causal Inference‐Driven Data Bias Optimization in Recommendation Systems: Principles, Opportunities and Challenges
by: Yongkang Li, et al.
Published: (2025)

An Overview of Heterogeneous Social Network Analysis
by: Deepti Singh, et al.
Published: (2025)

Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions
by: Abdul Aziz Noor, et al.
Published: (2025)

How AI Contributes to Poverty Alleviation: A Systematic Literature Review
by: Sepehr Ghazinoory, et al.
Published: (2025)