A review on recycling of lithium-ion batteries to recover critical metals

G Mishra, R Jha, A Meshram, KK Singh - Journal of Environmental …, 2022 - Elsevier
Advancement in energy storage devices especially lithium-ion batteries (LIBs) escalate the
consumption of critical metals such as lithium and cobalt etc. Spent LIBs have been …

Balancing composite motion optimization using R-ERNN with plant disease

R Venkatesan, GN Balaji - Applied Soft Computing, 2024 - Elsevier
Soybean is a crop with a long cultivation history that plays a significant role on agricultural
field. Early diagnosis of Soybean Mosaic Virus Disease (SMVD) is must require, because it …

Optimizing routes of municipal waste collection: an application algorithm

CC Ferrão, JAR Moraes, LP Fava… - Management of …, 2024 - emerald.com
Purpose The purpose of this study is to formulate an algorithm designed to discern the
optimal routes for efficient municipal solid waste (MSW) collection. Design/methodology …

Rag-Pickers as Benefactors and Beneficiaries of the Sustainable Development Goals: A Brief Literature Review

G Venkatesh - Studia Ecologiae et Bioethicae, 2023 - ceeol.com
Ragpickers have long led a marginalised, subliminal and deprived existence, and have
silently gone about contributing to 'informal waste recycling', diverting in many cities and …

[PDF][PDF] The Impact of Penalty on Residents' Waste Separation Behavior: A Moderated Mediation Model.

M Hao, S Xu - Polish Journal of Environmental Studies, 2023 - pjoes.com
To alleviate the plight of municipal solid waste management, penalties were implemented in
China. However, it is unclear how penalty affects residents' waste separation behavior. This …

An improved deep learning convolutional neural network for crack detection based on UAV images

O Omoebamije, TM Omoniyi, A Musa… - Innovative Infrastructure …, 2023 - Springer
The image-based crack detection process using the convolutional neural network (CNN)
has evolved as an active research area mainly because of its potential to be highly effective …

[HTML][HTML] An end-to-end computer vision system based on deep learning for pavement distress detection and quantification

S Cano-Ortiz, LL Iglesias, PMR del Árbol… - … and Building Materials, 2024 - Elsevier
The performance of deep learning-based computer vision systems for road infrastructure
assessment is hindered by the scarcity of real-world, high-volume public datasets. Current …

Facile and optimal evaluation model of intelligent waste collection systems based on the Internet of Things: a new approach toward sustainability

IM Hezam, A Gamal, M Abdel-Basset… - Environment, Development …, 2024 - Springer
Waste management is a difficult and complicated issue. Since this waste may constitute a
threat to persons and the environment, it is vital to guarantee that it is adequately collected …

Benchmarking Generations of You Only Look Once Architectures for Detection of Defective and Normal Long Rod Insulators

GB Békési - Journal of Control, Automation and Electrical Systems, 2023 - Springer
Effective infrastructure monitoring is a priority in all technical fields in this century. In high-
voltage transmission networks, line inspection is one such task. Fault detection of insulators …

Multi-class waste segregation using computer vision and robotic arm

J Lahoti, J Sn, MV Krishna, M Prasad… - PeerJ Computer …, 2024 - peerj.com
Waste segregation is an essential aspect of a smoothly functioning waste management
system. Usually, various recyclable waste types are disposed of together at the source, and …