AIMC Topic: Waste Management
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Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment.
PloS one
Aug 11, 2022
Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has merged into the Intelligence of Things concept. This recent trend enables sensors to track required parameters and store accumulated data in cloud storage, ...
Artificial Intelligence-Based Robotic Technique for Reusable Waste Materials.
Computational intelligence and neuroscience
May 6, 2022
Waste management is a critical problem for every country, whether it is developed or developing. Selecting and managing waste are a critical part of preserving the environment and maximizing resource efficiency. In addition to reducing trash and disp...
Assessment of medical waste generation, associated environmental impact, and management issues after the outbreak of COVID-19: A case study of the Hubei Province in China.
PloS one
Jan 24, 2022
COVID-19 greatly challenges the human health sector, and has resulted in a large amount of medical waste that poses various potential threats to the environment. In this study, we compiled relevant data released by official agencies and the media, an...
Fuzzy-based adaptive learning network using search and rescue optimization for e-waste management model: case study.
Environmental science and pollution research international
Oct 1, 2021
In recent days, the expansion of e-waste disposal should be increased due to environmental hazards, contamination of groundwater, an unconcerned consequence on marine life, human health, and decrease in the fertility of the soil. The majority of the ...
Waste image classification based on transfer learning and convolutional neural network.
Waste management (New York, N.Y.)
Sep 8, 2021
The rapid economic and social development has led to a rapid increase in the output of domestic waste. How to realize waste classification through intelligent methods has become a key factor for human beings to achieve sustainable development. Tradit...
A smart municipal waste management system based on deep-learning and Internet of Things.
Waste management (New York, N.Y.)
Aug 27, 2021
A proof-of-concept municipal waste management system was proposed to reduce the cost of waste classification, monitoring and collection. In this system, we utilize the deep learning-based classifier and cloud computing technique to realize high accur...
Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables.
International journal of environmental research and public health
Aug 12, 2021
Construction and demolition waste (DW) generation information has been recognized as a tool for providing useful information for waste management. Recently, numerous researchers have actively utilized artificial intelligence technology to establish a...
Digitalization of waste management: Insights from German private and public waste management firms.
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Jun 30, 2021
Policymakers, practitioners, and scholars have long-lauded digital technologies, such as smart waste containers or artificial intelligence for material recognition and robotic automation, as key enablers to more effective and efficient waste manageme...
A European household waste management approach: Intelligently clean Ukraine.
Journal of environmental management
Jun 10, 2021
The European-wide environmental obstacles of inefficient and unsustainable recycling systems and flows constrain household waste (HW) management, endangering the circular economy. The European 2020 strategy and ongoing environmental disasters indicat...
Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning.
International journal of environmental research and public health
Jan 17, 2021
Municipal solid waste (MSW) must be managed to reduce its impact on environmental matrices and population health as much as possible. In particular, the variables that influence the production, separate waste collection, and costs of MSW must be unde...
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