Results 261 to 270 of about 4,025,706 (340)

Intelligent waste sorting for urban sustainability using deep learning. [PDF]

open access: yesSci Rep
Ahmad G   +9 more
europepmc   +1 more source

Bioconversion of lignin and food waste into vanillin and biohydrogen by Escherichia coli MC3: a novel dual-functional bacteria. [PDF]

open access: yesBiotechnol Biofuels Bioprod
Chuancheng D   +6 more
europepmc   +1 more source

The FOod Commodity composition for Waste qUantification and valorization opportunitieS (FOWCUS) Dataset. [PDF]

open access: yesSci Data
Coudard A   +4 more
europepmc   +1 more source

IoT-based waste management: hybrid optimal routing and waste classification model

Environmental Science and Pollution Research
Internet of Things (IoT) makes connectivity between physical devices which are embedded with sensors, software, and connectivity that let them to communicate and transfer data. This technology makes it possible to collect and transfer data from a vast network device, opening the door to the development of automatic and more efficiency systems. The term
Sunilkumar Ketineni   +5 more
openaire   +3 more sources

Classification of dimension stone wastes

Environmental Science and Pollution Research, 2012
For countries in which the stone industry is well developed, opposition to quarry and plant waste is gradually increasing. The primary step for waste control and environmental management is to define the problem of concern. In this study, natural building stone wastes were classified for the first time in the literature.Following on-site physical ...
Karaca, Zeki   +2 more
openaire   +5 more sources

Classification of Hazardous Wastes

Journal of the Environmental Engineering Division, 1980
The multivariate statistical techniques of linear discriminant analysis and cluster analysis were applied to the classification of hazardous wastes. Linear discriminate analysis was used to classify a sample of waste streams from the metal smelting and refining industries, with a resultant classification accuracy of 83%.
Albert J. Klee, Michael U. Flanders
openaire   +1 more source

Automated Machine Learning in Waste Classification: A Revolutionary Approach to Efficiency and Accuracy

International Conferences on Computing and Pattern Recognition, 2023
In recent years, waste segregation, treatment, and recycling have become critical global issues, drawing significant attention worldwide. However, the efficiency of recycling processes can be influenced by numerous factors.
Zhitong Lee, Y. Wu, Xukang Wang
semanticscholar   +1 more source

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