AIMC Topic: Waste Management

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Artificial Intelligence in enhancing sustainable practices for infectious municipal waste classification.

Waste management (New York, N.Y.) May 11, 2024
This research paper focuses on effective infectious municipal waste management in urban settings, highlighting a dearth of dedicated research in this domain. Unlike general or specific waste types, infectious waste poses distinct health and environme...
Waste Management Refuse Disposal Artificial Intelligence Algorithms Cities Solid Waste Neural Networks, Computer
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Integrating fuzzy-AHP and GIS for solid waste disposal site selection in Kenitra province, NW Morocco.

Environmental monitoring and assessment May 10, 2024
Selecting an optimal solid waste disposal site is one of the decisive waste management issues because unsuitable sites cause serious environmental and public health problems. In Kenitra province, northwest Morocco, sustainable disposal sites have bec...
Geographic Information Systems Environmental Monitoring Waste Management Refuse Disposal Fuzzy Logic Solid Waste Morocco Waste Disposal Facilities
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Classification of e-waste using machine learning-assisted laser-induced breakdown spectroscopy.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA May 9, 2024
Waste management and the economy are intertwined in various ways. Adopting sustainable waste management techniques can contribute to economic growth and resource conservation. Artificial intelligence (AI)-based classification is very crucial for rapi...
Electronic Waste Machine Learning Aluminum Waste Management Principal Component Analysis Alloys Spectrum Analysis Lasers
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Agro-industrial waste management employing benefits of artificial intelligence.

Environmental science and pollution research international May 7, 2024
By 2050, the world's population is predicted to reach over 9 billion, which requires 70% increased production in agriculture and food industries to meet demand. This presents a significant challenge for the agri-food sector in all aspects. Agro-indus...
Artificial Intelligence Recycling Agriculture Waste Management Industrial Waste
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Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning.

Environmental science and pollution research international Apr 18, 2024
Resource recycling is considered necessary for sustainable development, especially in smart cities where increased urbanization and the variety of waste generated require the development of automated waste management models. The development of smart ...
Beluga Whale Recycling Animals Waste Management Deep Learning
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Multi-objective location-routing optimization based on machine learning for green municipal waste management.

Waste management (New York, N.Y.) Apr 12, 2024
Most of the existing municipal waste management (MWM) systems focus on the optimization of the waste disposal center locations and waste collection paths, which can be modeled based on the location-routing problem (LRP). This study models a green MWM...
Machine Learning Beijing Refuse Disposal Models, Theoretical Algorithms Waste Management Cities
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Effective waste management in service industry: Fuzzy-based modelling approach for strategic decision-making.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Apr 6, 2024
Hospitals need to identify issues of greater importance on waste management because the implementation of many different strategies may lead to an unconscious increase in costs. Accordingly, the purpose of this study is to define the most effective w...
Waste Management Decision Making Models, Theoretical Fuzzy Logic
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Machine-learning intervention progress in the field of organic waste composting: Simulation, prediction, optimization, and challenges.

Waste management (New York, N.Y.) Feb 24, 2024
Aerobic composting stands as a widely-adopted method for treating organic solid waste (OSW), simultaneously producing organic fertilizers and soil amendments. This biologically-driven biochemical reaction process, however, presents challenges due to ...
Composting Solid Waste Waste Management Fertilizers Machine Learning Neural Networks, Computer Refuse Disposal Soil
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Sensor-based characterization of construction and demolition waste at high occupancy densities using synthetic training data and deep learning.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Feb 22, 2024
Sensor-based monitoring of construction and demolition waste (CDW) streams plays an important role in recycling (RC). Extracted knowledge about the composition of a material stream helps identifying RC paths, optimizing processing plants and form the...
Algorithms Neural Networks, Computer Deep Learning Waste Management Construction Materials Recycling
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Waste management and artificial intelligence: Is it happening already?

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Feb 8, 2024
Waste Management Artificial Intelligence
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