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 …

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 …

[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 …

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] 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 …

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 …

Estimation of Driving Direction of Traffic Accident Vehicles for Improving Traffic Safety

MJ Cho, JM Park, S Kim, Y Lee - Applied Sciences, 2023 - mdpi.com
Traffic accidents are widely recognized as being a significant societal disaster that causes
severe human, economic, and social damage. While various factors, such as environmental …

Comparison of supervised ML algorithms for road traffic crash prediction models in Rwanda

G Jean de Dieu, S Bin, W Huang… - Proceedings of the …, 2023 - icevirtuallibrary.com
The development of Rwanda was accompanied by rapid growth of various modes of
transport and the occurrence of road traffic crashes (RTCs). RTC severity has also increased …

Road Crash Injury Severity Prediction Using a Graph Neural Network Framework

KA Sattar, I Ishak, L Suriani, SNM Rum - IEEE Access, 2024 - ieeexplore.ieee.org
Crash severity prediction is a challenging research area, where the objective is to accurately
assess the extent of severity of an injury resulting from road traffic accidents. The main aim of …