A review of artificial intelligence and machine learning for incident detectors in road transport systems

S Olugbade, S Ojo, AL Imoize, J Isabona… - Mathematical and …, 2022 - mdpi.com
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …

[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …

SAV Dananjaya, VS Chevali, JP Dear, P Potluri… - Progress in Materials …, 2024 - Elsevier
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …

Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review

FE Shaibu, EN Onwuka, N Salawu, SS Oyewobi… - Future Internet, 2023 - mdpi.com
The rapid development of 5G communication networks has ushered in a new era of high-
speed, low-latency wireless connectivity, as well as the enabling of transformative …

Intelligent algorithms for incident detection and management in smart transportation systems

H Yijing, W Wei, Y He, W Qihong, X Kaiming - Computers and Electrical …, 2023 - Elsevier
Prior research on traffic event detection has encountered two problems: limited sample
numbers and unbalanced datasets. Moreover, the real-time properties of event detection …

Improving path loss prediction using environmental feature extraction from satellite images: Hand-crafted vs. convolutional neural network

US Sani, OA Malik, DTC Lai - Applied Sciences, 2022 - mdpi.com
There is an increased exploration of the potential of wireless communication networks in the
automation of daily human tasks via the Internet of Things. Such implementations are only …

Path loss prediction in Tropical regions using machine learning techniques: A case study

OJ Famoriji, T Shongwe - Electronics, 2022 - mdpi.com
In optimization of wireless networks, path loss prediction is of great importance for adequate
planning and budgeting in wireless communications. For efficient and reliable …

Anchor link prediction across social networks based on multiple consistency

Y Yang, L Wang, D Liu - Knowledge-Based Systems, 2022 - Elsevier
With the development of social applications, users began to participate in multiple online
social networks. If the same user in different social networks can be identified, it can provide …

On the interpretability of machine learning regression for path-loss prediction of millimeter-wave links

Y Nuñez, L Lovisolo, L da Silva Mello… - Expert Systems with …, 2023 - Elsevier
Millimeter-wave communication systems design requires accurate path-loss (PL) prediction,
which is critical to determining coverage area and system capacity. In this work, four …

[HTML][HTML] A Review of Road Accidents Detection through Wireless Technology—5G, MIMO and Internet of Things

S Ojo, S Olugbade, TP Ojo - Open Journal of Applied Sciences, 2022 - scirp.org
Road transport is been used for moving people and all kinds of goods throughout the world.
However, it is one mode of transportation that is prone to accidents and it faces a plethora of …

A survey: Network feature measurement based on machine learning

M Sun, B He, R Li, J Li, X Zhang - Applied Sciences, 2023 - mdpi.com
In network management, network measuring is crucial. Accurate network measurements can
increase network utilization, network management, and the ability to find network problems …