Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions

MT Munir, B Li, M Naqvi - Fuel, 2023 - Elsevier
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …

MachIne learning for nutrient recovery in the smart city circular economy–A review

A Soo, L Wang, C Wang, HK Shon - Process Safety and Environmental …, 2023 - Elsevier
Urbanisation is leading to a concentration of growing city populations that contribute
significantly to economic growth, while becoming epicentres of waste generation …

Advancing the bioconversion process of food waste into methane: A systematic review

E Workie, V Kumar, A Bhatnagar, Y He, Y Dai… - Waste Management, 2023 - Elsevier
With the continuous rise of food waste (FW) throughout the world, a research effort to reveal
its potential for bioenergy production is surging. There is a lack of harmonized information …

Natural and designer cellulosomes: A potential tool for enhancing microbial additive-mediated lignocellulosic agricultural waste composting

UE Senadheera, J Jayasanka, D Udayanga… - Bioresource Technology …, 2023 - Elsevier
Lignocellulosic agricultural waste composting is a cost-effective approach for remedying
such waste. The complex, recalcitrant nature of lignocellulosic agricultural waste hinders its …

Deep learning based a comprehensive analysis for waste prediction

A Utku, SK Kaya - Operational Research in Engineering Sciences: Theory …, 2022 - oresta.org
In its simplest definition, waste can be defined as any substance that is used, not needed
and causes harm to the environment. Waste management covers control activities such as …

Artificial neural networks and gradient boosted machines used for regression to evaluate gasification processes: A review

O Sedej, E Mbonimpa, T Sleight… - Journal of Energy and …, 2022 - scholar.afit.edu
Waste-to-Energy technologies have the potential to dramatically improve both the natural
and human environment. One type of waste-to-energy technology that has been successful …

Predicting Cost of Municipal Waste Management using IoT Data and Machine Learning

G Davrazos, T Panagiotakopoulos… - … & Applications (IISA), 2023 - ieeexplore.ieee.org
Internet of Things (IoT) technologies have been proliferated as a solution able to deliver on
the promise of efficient waste management. Their application has been explored in various …

Minimizing the Waste Management Effort by Using Machine Learning Applications

A Khang, K Singh, M Yadav, RK Yadav - … Automated Waste Treatment …, 2024 - igi-global.com
Waste management is a process of collecting, transporting, disposing, and monitoring waste
materials generated by human activities. It is an essential part of maintaining public health …

IoT-Based Automated Dust Bins and Improved Waste Optimization Techniques for Smart City

K Singh, M Yadav, RK Yadav - Revolutionizing Automated Waste …, 2024 - igi-global.com
Effective waste management systems are essential for maintaining sustainability,
environmental health, and cleanliness in the age of smart cities. This chapter provides a …

An Overview on Fungi and Nanomaterial-Based Technologies for the Treatment of Industrial Effluents

D Kumar, S Mishra, S Kumari, AK Dutta - Green Technologies for …, 2023 - Springer
Bioremediation refers to remove, degrade, alter, detoxify or immobilize various physical and
chemicals wastes from the environment through the action of bacteria, fungi or other living …