Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

From distributed machine to distributed deep learning: a comprehensive survey

M Dehghani, Z Yazdanparast - Journal of Big Data, 2023 - Springer
Artificial intelligence has made remarkable progress in handling complex tasks, thanks to
advances in hardware acceleration and machine learning algorithms. However, to acquire …

[HTML][HTML] Unpacking the perceived cycling safety of road environment using street view imagery and cycle accident data

Y Ye, C Zhong, E Suel - Accident Analysis & Prevention, 2024 - Elsevier
Cycling, as a routine mode of travel, offers significant benefits in promoting health,
eliminating emissions, and alleviating traffic congestion. Many cities, including London, have …

Leveraging positive-unlabeled learning for enhanced black spot accident identification on Greek road networks

V Sevetlidis, G Pavlidis, SG Mouroutsos, A Gasteratos - Computers, 2024 - mdpi.com
Identifying accidents in road black spots is crucial for improving road safety. Traditional
methodologies, although insightful, often struggle with the complexities of imbalanced …

A Survey From Distributed Machine Learning to Distributed Deep Learning

M Dehghani, Z Yazdanparast - arXiv preprint arXiv:2307.05232, 2023 - arxiv.org
Artificial intelligence has achieved significant success in handling complex tasks in recent
years. This success is due to advances in machine learning algorithms and hardware …

[HTML][HTML] Exploration of traffic accident-based pilot zones for autonomous vehicle safety validation

S Kim, M Cho, Y Lee - Electronics, 2024 - mdpi.com
Recently, the commercialization of autonomous vehicles has increased the importance of
verifying vehicle safety through autonomous trials. Autonomous driving trials are conducted …

[PDF][PDF] A Scalable and Generalized Deep Ensemble Model for Road Anomaly Detection in Surveillance Videos.

S Natha, FA Jokhio, M Laghari, M Siraj… - … , Materials & Continua, 2024 - researchgate.net
Surveillance cameras have been widely used for monitoring in both private and public
sectors as a security measure. Close Circuits Television (CCTV) Cameras are used to …

[HTML][HTML] Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and …

BS Rashmi, S Marisamynathan - International Journal of Transportation …, 2024 - Elsevier
Speeding is one of the most common aberrant driving behaviors among the driving
population. Although research on speeding behavior among drivers has been increased …

[PDF][PDF] A Study on the Analysis of Law Violation Data for the Creation of Autonomous Vehicle Traffic Flow Evaluation Indicators

M Kim, Y Go, S Choi, N Kim, C Yoon, W Park - Journal of Internet Services …, 2023 - jisis.org
The study analyzes the reason for the steady increase in the number of traffic accidents in
Yongin City, Gyeonggi-do, despite the improvement of Korea's traffic accident system and …

Driver-to-Driver Communication Skills: Contributing Factors to Traffic Accidents on South African Roads?

JA Adedeji, XE Feikie, D Dijanic - Sustainability, 2024 - mdpi.com
Road traffic accidents are associated with different factors, such as nonsignalised road
networks, inexperienced drivers, a lack of communication skills, distraction, and the visual or …