Advancements in E-waste recycling technologies: A comprehensive overview of strategies and mechatronics integration for future development DOI
Neeraj Kumar Bhoi

Sustainable materials and technologies, Journal Year: 2024, Volume and Issue: unknown, P. e01182 - e01182

Published: Nov. 1, 2024

Language: Английский

Optimizing E-waste management: Deep learning classifiers for effective planning DOI

S. Selvakanmani,

P. Rajeswari,

Brahmadesam Viswanathan Krishna

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 443, P. 141021 - 141021

Published: Jan. 29, 2024

Language: Английский

Citations

11
Impact of artificial intelligence on aeronautics: An industry-wide review DOI Creative Commons

Amina Zaoui,

Dieudonné Tchuente, Samuel Fosso Wamba

et al.

Journal of Engineering and Technology Management, Journal Year: 2024, Volume and Issue: 71, P. 101800 - 101800

Published: Jan. 1, 2024

Curiously, there are few contributions in the scientific literature on subject of artificial intelligence (AI) and its impact aeronautics. However, many communications reports have been published by aeronautic companies about their applications AI technologies. This article makes an industry-wide review aeronautics using a three-step sequential approach: (i) concepts to define develop conceptual map; (ii) selection 100 use cases from that technologies (e.g., Airbus, Boeing, Air France, Safran, EasyJet, Dassault Aviation, Altair); (iii) analysis topics defined map. The main results describe rising interest integration entities sector. Moreover, show most recurrent big data analytics, autonomous intelligent systems, predictive machine learning, robotics. Another finding is related several benefits motivate integrate into industrial operational processes. frequent include customer satisfaction, saving time, safety security, cost reduction, better decision making, solving complex problems, ensuring optimisation efficiency. It also appears performance positively impacted these Such impacts span all departments including marketing, where help satisfy needs; area, which provided with quality products; productivity economic optimised for more

Language: Английский

Citations

11
ESG performance and technological change: Current state-of-the-art, development and future directions DOI
Elisa Truant,

Edoardo Borlatto,

Edoardo Crocco

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 429, P. 139493 - 139493

Published: Nov. 1, 2023

Language: Английский

Citations

18
Policy pathways to sustainable E-waste management: A global review DOI Creative Commons

Sai Preetham Grandhi,

Pranav Prashant Dagwar, Deblina Dutta

et al.

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: 16, P. 100473 - 100473

Published: Sept. 16, 2024

Language: Английский

Citations

8
Financial Support in E-waste Management within a Circular Economy with Structural Equation Modeling Analysis from Taiwan DOI

Bo-Cheng Yang,

Chun‐Hung Lee, I Wayan Koko Suryawan

et al.

Circular Economy and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

Language: Английский

Citations

7
Application of Geographic Information Systems (GIS) and Remote Sensing (RS) in solid waste management in Southern Africa: a review DOI

Takunda Shabani,

Rameck Defe,

Roberta Mavugara

et al.

SN Social Sciences, Journal Year: 2024, Volume and Issue: 4(2)

Published: Feb. 5, 2024

Language: Английский

Citations

6
A computer vision-based system for real-time component identification from waste printed circuit boards DOI
Himanshu Sharma, Harish Kumar

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 351, P. 119779 - 119779

Published: Dec. 12, 2023

Language: Английский

Citations

11
Riverbed litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network DOI Creative Commons
Fan Zhao, Yongying Liu, Jiaqi Wang

et al.

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 209, P. 117030 - 117030

Published: Oct. 10, 2024

Language: Английский

Citations

4
Recent Advancements in Artificial Intelligence in Battery Recycling DOI Creative Commons

Subin Antony Jose,

Colin Cook,

Josep Palàcios

et al.

Batteries, Journal Year: 2024, Volume and Issue: 10(12), P. 440 - 440

Published: Dec. 11, 2024

Battery recycling has become increasingly crucial in mitigating environmental pollution and conserving valuable resources. As demand for battery-powered devices rises across industries like automotive, electronics, renewable energy, efficient is essential. Traditional methods, often reliant on manual labor, suffer from inefficiencies harm. However, recent artificial intelligence (AI) advancements offer promising solutions to these challenges. This paper reviews the latest developments AI applications battery recycling, focusing methodologies, challenges, future directions. technologies, particularly machine learning deep models, are revolutionizing sorting, classification, disassembly processes. AI-powered systems enhance efficiency by automating tasks such as identification, material characterization, robotic disassembly, reducing human error occupational hazards. Additionally, integrating with advanced sensing technologies computer vision, spectroscopy, X-ray imaging allows precise characterization real-time monitoring, optimizing strategies recovery rates. Despite advancements, data quality, scalability, regulatory compliance must be addressed realize AI’s full potential recycling. Collaborative efforts interdisciplinary domains essential develop robust, scalable AI-driven solutions, paving way a sustainable, circular economy materials.

Language: Английский

Citations

4
Assessment of risk propagation in an e-waste collection system using Bayesian networks DOI
Shailender Singh, Vinod Yadav, Srikanta Routroy

et al.

Journal of Material Cycles and Waste Management, Journal Year: 2025, Volume and Issue: unknown

Published: March 2, 2025

Language: Английский

Citations

0