Results 81 to 90 of about 4,025,706 (340)

Impacts of a municipal solid waste classification policy on carbon emissions: case study of Beijing, China

Journal of Material Cycles and Waste Management
National and local governments implement municipal solid waste classification policies to reduce waste disposal and minimize environmental pollution. Beijing started implementing its classification of municipal solid waste policy in May 2020.
Tingting Liu, Jing Cao, A. Miatto
semanticscholar   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

FedADC: Federated Average Knowledge Distilled Mutual Conditional Learning (FedADC) for Waste Classification

IEEE Access
Federated learning presents a potent avenue for addressing challenges in waste classification, where diverse datasets are distributed across sources.
Ananya Ghosh, Parthiban Krishnamoorthy
doaj   +1 more source

Multi-class Waste Classification Using Convolutional Neural Network

Applied Environmental Research
This study explores a method of waste classification using deep learning, specifically employing the Convolutional Neural Network (CNN). This research involves the creation of a unique dataset, a hybrid of publicly accessible data and a newly compiled ...
Yanfahmi Rayhan, Achmad Pratama Rifai
semanticscholar   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

NUNI-Waste: novel semi-supervised semantic segmentation waste classification with non-uniform data augmentation

Multimedia tools and applications
Waste categorization and recycling are critical approaches for converting waste into valuable and functional materials, thereby significantly aiding in land preservation, reducing pollution, and optimizing resource usages.
Jianchun Qi, Minh Nguyen, W. Yan
semanticscholar   +1 more source

Advanced Flame Retardant Strategies and Fire Performance Assessment for Safer Photovoltaics in Buildings: A Two‐Part Review

Advanced Functional Materials, EarlyView.
The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon, Olaia Aurrekoetxea‐Arratibel, Emma Gottis, Heng‐Yu Li, Xabier Olano‐Azkune, Matthieu Despeisse, Antonin Faes, Christophe Ballif   +7 more
wiley   +1 more source

Skylab/EREP application to ecological, geological, and oceanographic investigations of Delaware Bay [PDF]

The author has identified the following significant results. Skylab/EREP S190A and S190B film products were optically enhanced and visually interpreted to extract data suitable for mapping coastal land use; inventorying wetlands vegetation; monitoring ...
Bartlett, D. S., Klemas, V., Philpot, W. D., Reed, L. E., Rogers, R. H.   +4 more
core   +4 more sources

Waste Classification using CNN Algorithm

International Conference on Information Science and Technology Innovation (ICoSTEC), 2022
One of the cornerstones to efficient waste management is proper and accurate waste classification. However, people find it challenging to categorize such a big and diverse amount of waste. As a result, we employ deep learning to classify waste efficiently.
openaire   +1 more source