Results 141 to 150 of about 582,117 (303)
Post-Consumer Textile Waste Classification through Near-Infrared Spectroscopy, Using an Advanced Deep Learning Approach. [PDF]
Riba JR +3 more
europepmc +1 more source
Super-Resolution Analysis for Landfill Waste Classification
Illegal landfills are a critical issue due to their environmental, economic, and public health impacts. This study leverages aerial imagery for environmental crime monitoring. While advances in artificial intelligence and computer vision hold promise, the challenge lies in training models with high-resolution literature datasets and adapting them to ...
Matías Molina +3 more
openaire +2 more sources
Hyperspectral Data Driven Solid Waste Classification
Computer vision methods have been recently integrated into industrial facilities performing the automatic household waste sorting. In this research, we report on an approach based on hyperspectral cameras and consecutive data analysis in recycling plants for improve waste sorting processes in terms of waste detection and classification. The majority of
Gleb Mazanov +6 more
openaire +2 more sources
ABSTRACT Electrochemical biosensors enable the accurate and timely detection of clinical biomarkers, improving healthcare and precision medicine. MXene nanosheets, a class of 2D transition metal carbides, nitrides, and carbonitrides, are promising materials for developing next‐generation electrochemical biosensors due to their unique physicochemical ...
Muhsin Ali +4 more
wiley +1 more source
A disposição adequada dos resíduos sólidos é importante para evitar que os mesmos se transformem em fonte de contaminação ambiental e humana. A NBR 10.004 - Classificação de Resíduos - lista vários hidrocarbonetos policíclicos aromáticos (HPAs) e indica ...
Cristina L. S. Sisinno +3 more
doaj
Accurate classification is an important prerequisite for resource recycling of domestic waste and a crucial indicator that measures the effectiveness of implementation of various government policies on waste classification.
Ruike Ye +5 more
doaj +1 more source
Leveraging Convolutional Neural Networks for Multiclass Waste Classification
The impact of population growth on waste production in Indonesia emphasizes the urgent need for effective waste management to mitigate environmental and health risks.
Apriandy Angdresey +2 more
doaj +1 more source
Dependence in Classification of Aluminium Waste
Based on the dependence between edge and colour intensity of aluminium waste image, the aim of this paper is to classify the aluminium waste into three types; pure aluminium, not pure aluminium type-1 (mixed iron/lead) and not pure aluminium type 2 (unrecycle).
openaire +1 more source
Microfluidic engineering enables the fabrication of chitosan‐coated, melatonin‐loaded nanoemulsions with controlled release and enhanced physicochemical stability for space pharmaceutics. Interfacial biopolymer coating modulates droplet behavior under accelerated thermal stress and simulated microgravity.
Modupe Adebowale +3 more
wiley +1 more source
Para que um resíduo sólido seja disposto adequadamente, é necessário classificá-lo segundo as Normas Técnicas Brasileiras, cuja principal é a NBR 10.004.
Cristina L. S. Sisinno
doaj

