Traffic Light Detection for Nighttime Driving with Log-Polar Transform Incorporated Learning DOI Creative Commons
Huei‐Yung Lin,

Mu‐Yun Tsai

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103783 - 103783

Published: Dec. 1, 2024

Language: Английский

Optimizing industrial growth: A spherical fuzzy MCDM framework for industrial revolutions DOI Creative Commons

R. Muthunandhini,

K. Palanivel

Results in Engineering, Journal Year: 2025, Volume and Issue: 25, P. 103844 - 103844

Published: Jan. 5, 2025

Language: Английский

Citations

2

Smart Waste Management Systems Integrating IoT for Real-Time Monitoring and Optimization DOI
Harpreet Kaur Channi, Surinder Kaur

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 319 - 348

Published: Jan. 16, 2025

As urbanization grows in India, traditional waste management methods become inefficient, creating environmental and public health issues. IoT is transforming this with smart bins, real-time monitoring, route optimization. Pune Bhopal use IoT-driven solutions to improve efficiency satisfaction, despite high costs data privacy concerns. Smart bins monitor fill levels, while GPS-enabled trucks optimize routes, reducing operating impact. set revolutionize Indian cities, leading a cleaner healthier future.

Language: Английский

Citations

0

Artificial Intelligence-Assisted Multi-Criteria Decision-Making Methodology: From Research Trends to the Future Roadmap DOI Creative Commons
Mahmut Baydaş,

Nazlı Ersoy

Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi, Journal Year: 2025, Volume and Issue: 14(1), P. 180 - 191

Published: March 26, 2025

Bibliometric analysis is a popular methodology in recent years that provides valuable insights for literature and researchers by visualizing interesting trends, relationship patterns, information flow research areas. This study aims to evaluate the publication author contributions, institutional collaborations, citation dynamics of this field examining integration Multi-Criteria Decision Making (MCDM) Artificial Intelligence (AI) with bibliometric methods. optimizes complex decision-making processes faster, consistent, effective solutions. The was performed using performance science mapping techniques. Data were collected from WoS database 993 articles covering period 1992 2024 analyzed. Co-citation, keyword co-occurrence, co-authorship analyses visualized VOSviewer software. Accordingly, India, China Iran stand out as countries most publications, while Indian Institute Technology has highest contribution. ‘Annals Operations Research’ ‘Expert Systems Applications’ among frequently cited journals. University Sydney King Abdulaziz stood collaboration. study, which insights, pioneering performs AI-MCDM methods, especially terms title emphasis some findings obtained.

Language: Английский

Citations

0

Material Selection for Milling Cutter Inserts in High-Speed Machining Applications Using the CARCACS Method DOI Creative Commons
Anita Kumari, Bappa Acherjee

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105063 - 105063

Published: April 1, 2025

Language: Английский

Citations

0

AI-Enhanced Public Transportation Systems for Urban Sustainability DOI
Sohel Rana Sarkar,

Sirajun Tahura

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 97 - 116

Published: Feb. 28, 2025

This chapter explores the transformative role of Artificial Intelligence (AI) in advancing sustainable urban public transportation. As cities grow, challenges like congestion, emissions, and efficiency demand innovative solutions. AI addresses these through data-driven methods route optimization, traffic management, fleet electrification. Using predictive analytics, real-time processing, machine learning, enables dynamic adjustments that improve fuel efficiency, reduce idle times, enhance passenger experiences. Case studies illustrate AI's impact optimizing routes, integrating electric autonomous vehicles, reducing carbon footprints. Ethical policy issues such as data privacy equitable access are also examined, emphasizing responsible implementation. underscores potential to create sustainable, resilient mobility, paving way for smarter, greener cities.

Language: Английский

Citations

0

Traffic Light Detection for Nighttime Driving with Log-Polar Transform Incorporated Learning DOI Creative Commons
Huei‐Yung Lin,

Mu‐Yun Tsai

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103783 - 103783

Published: Dec. 1, 2024

Language: Английский

Citations

1