Results 61 to 70 of about 9,361,336 (416)

Direct mineral content prediction from drill core images via transfer learning

open access: yesSwiss Journal of Geosciences
Deep subsurface exploration is important for mining, oil and gas industries, as well as in the assessment of geological units for the disposal of chemical or nuclear waste, or the viability of geothermal energy systems.
Romana Boiger   +5 more
doaj   +1 more source

MWaste: A Deep Learning Approach to Manage Household Waste [PDF]

open access: yesarXiv, 2023
Computer vision methods have shown to be effective in classifying garbage into recycling categories for waste processing, existing methods are costly, imprecise, and unclear. To tackle this issue, we introduce MWaste, a mobile application that uses computer vision and deep learning techniques to classify waste materials as trash, plastic, paper, metal,
arxiv  

Waste management

open access: yesBIBECHANA, 1970
Waste management has become very challenging in our society. Different types of wastes which are produced in our society have been investigated. Special attention has been given in the management methods of waste. Keywords: Industrial waste; Domestic waste; Composting; Recycling DOI: 10.3126/bibechana.v7i0.4048BIBECHANA 7 (2011) 65 ...
openaire   +4 more sources

Scrap tire sustainability plan [PDF]

open access: yes, 2019
This plan has been developed as a road map for giving consideration to all possible realistic solutions for improving scrap tire management in South Carolina and the region. The S.C.
South Carolina Division of Mining & Solid Waste Management
core  

Mitochondrial DNA disorders in neuromuscular diseases in diverse populations

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Neuromuscular features are common in mitochondrial DNA (mtDNA) disorders. The genetic architecture of mtDNA disorders in diverse populations is poorly understood. We analysed mtDNA variants from whole‐exome sequencing data in neuromuscular patients from South Africa, Brazil, India, Turkey and Zambia. In 998 individuals, there were two definite
Fei Gao   +34 more
wiley   +1 more source

Wasted! Resource Recovery and Waste Management in Cuba [PDF]

open access: yesInternational Journal of Cuban Studies, 2019
The collection of solid waste and the recovery of recyclable material from waste are major challenges Cuba has been facing for many years. In this paper, we briefly sketch the actual waste situation and analyse the causes of the obvious deficiencies of the waste sector.
Ahlheim, Michael   +3 more
openaire   +5 more sources

Plastic Waste: Challenges and Opportunities to Mitigate Pollution and Effective Management

open access: yesInternational Journal of Environmental Research, 2023
A comprehensive analysis of global plastic waste generation and its effect on land and marine environment is conducted. Plastic waste management technologies for both land and marine environment are reviewed thoroughly.
M. G. Kibria   +4 more
semanticscholar   +1 more source

Annual report Fiscal Year 2008 [PDF]

open access: yes, 2009
Every year the South Carolina Hazardous Waste Contingency Fund presents its annual report covering such things as accomplishments, history and status, obligations of future sites and state superfund program's community ...
South Carolina Hazardous Waste Contingency Fund   +1 more
core  

Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming

open access: yesAdvanced Engineering Materials, EarlyView.
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider   +4 more
wiley   +1 more source

Comparative Analysis of Multiple Deep CNN Models for Waste Classification [PDF]

open access: yes5th International Conference on Advanced Engineering and ICT-Convergence 2020, 2020
Waste is a wealth in a wrong place. Our research focuses on analyzing possibilities for automatic waste sorting and collecting in such a way that helps it for further recycling process. Various approaches are being practiced managing waste but not efficient and require human intervention.
arxiv  

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