Results 161 to 170 of about 4,025,706 (340)

Hyperspectral Data Driven Solid Waste Classification

IEEE Access
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, Anna Iliushina, Sergey Nesteruk, Andrey Pimenov, Anton Stepanov, Nadezhda Mikhaylova, Andrey Somov   +6 more
openaire   +2 more sources

On green routing and scheduling problem

, 2011
The vehicle routing and scheduling problem has been studied with much interest within the last four decades. In this paper, some of the existing literature dealing with routing and scheduling problems with environmental issues is reviewed, and a ...
Jost, Vincent, Touati, Nora
core   +1 more source

Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms

Advanced Materials, Volume 38, Issue 9, 12 February 2026.
This review describes the driving forces behind collective motion, explores the self‐organization of micro/nano swarms across zero‐dimensional (0D), one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) spaces, and highlights their potential in drug delivery, environmental monitoring, and smart devices.
Siwen Sun, Bingbing Sun, Alexander B. Cook, Tania Patiño Padial, Jan C. M. van Hest   +4 more
wiley   +1 more source

Analysis of influencing factors and mechanism of classification accuracy of personal waste of urban residents

Scientific Reports
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, Mengying Bian, Keqi Yi, Yuxin Liu, Qingwei Zeng, Jianuo Zhang   +5 more
doaj   +1 more source

Leveraging Convolutional Neural Networks for Multiclass Waste Classification

Journal of Applied Informatics and Computing
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, Indah Yessi Kairupan, Andre Gabriel Mongkareng   +2 more
doaj   +1 more source

Dependence in Classification of Aluminium Waste

Journal of Physics: Conference Series, 2015
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

Aqueously Upcycled Lignin with Emergent Tribonegativity for Skin‐Integrated Triboelectronics

Advanced Materials, Volume 38, Issue 9, 12 February 2026.
Aqueously upcycled lignin is transformed into a printable ink that self‐assembles into a nanotextured surface during printing with the highest reported biopolymer‐based tribonegativity. The resulting skin‐integrated triboelectric sensor enables high‐fidelity cardiovascular monitoring and objective mental workload classification, demonstrating a ...
Robert Ccorahua‐Santo, Mi Li, Yi Zheng, Wenzhuo Wu   +3 more
wiley   +1 more source

How animal metaphors increase tourists’ waste classification intention?

Environmental Research Communications
Previous researches have shown that animal metaphors play an important role in promoting specific behavioral dispositions of individuals. However, we are not well aware of the role of animal metaphors in tourists’ waste classification intentions ...
Dajun Sun, Dajun Yang, Jian Wang, Fuqiang Tan   +3 more
doaj   +1 more source

A systemic methodology for risk management in healthcare sector [PDF]

, 2011
Anna Corinna Cagliano, Apkon, Armitage, Barach, Bartlett, Baysari, Baysari, Bridges, Brown, Burgmeier, Carlo Rafele, Cohen, Cosby, Damelio, Davis, Embrey, Embrey, Garthwaite, Graham, Gray, Harms-Ringdahl, Harvard Business School, Hillson, Hillson, Hollnagel, Hollnagel, Janssen, Johansson, Körvers, Leape, Liker, Liker, Linch, Lucas, Lyons, Lyons, McDonald, McNally, Norman, Ohno, Ookalkar, O’Hagan, Paz Barroso, Project Management Institute, Project Management Institute, Reason, Reason, Ross Baker, Roth, Sabrina Grimaldi, Saizy-Callaert, Sale, Stalhandske, Thomas, Tonneau, Vincent, Vincent, Vincent, Vissers, Wiegmann, Wieman, Wilson, Zidel   +62 more
core   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source