[HTML][HTML] Machine Learning for Blockchain and IoT Systems in Smart Cities: A Survey

E Dritsas, M Trigka - Future Internet, 2024 - mdpi.com
The integration of machine learning (ML), blockchain, and the Internet of Things (IoT) in
smart cities represents a pivotal advancement in urban innovation. This convergence …

[HTML][HTML] 4IR Applications in the Transport Industry: Systematic Review of the State of the Art with Respect to Data Collection and Processing Mechanisms

OO Ajayi, AM Kurien, K Djouani, L Dieng - Sustainability, 2024 - mdpi.com
Transportation systems through the ages have seen drastic evolutions in terms of
transportation methods, speed of transport, infrastructure, technology, connectivity, influence …

Advancing Sustainable COVID-19 Diagnosis: Integrating Artificial Intelligence with Bioinformatics in Chest X-ray Analysis

H Louati, A Louati, R Lahyani, E Kariri, A Albanyan - Information, 2024 - mdpi.com
Responding to the critical health crisis triggered by respiratory illnesses, notably COVID-19,
this study introduces an innovative and resource-conscious methodology for analyzing chest …

Harnessing Machine Learning to Unveil Emotional Responses to Hateful Content on Social Media

A Louati, H Louati, A Albanyan, R Lahyani, E Kariri… - Computers, 2024 - mdpi.com
Within the dynamic realm of social media, the proliferation of harmful content can
significantly influence user engagement and emotional health. This study presents an in …

Machine Learning and Artificial Intelligence for a Sustainable Tourism: A Case Study on Saudi Arabia

A Louati, H Louati, M Alharbi, E Kariri, T Khawaji… - Information, 2024 - mdpi.com
This work conducts a rigorous examination of the economic influence of tourism in Saudi
Arabia, with a particular focus on predicting tourist spending patterns and classifying …

Algorithm for Point Cloud Dust Filtering of LiDAR for Autonomous Vehicles in Mining Area

X Jiang, Y Xie, C Na, W Yu, Y Meng - Sustainability, 2024 - mdpi.com
With the continuous development of the transformation of the “smart mine” in the mineral
industry, the use of sensors in autonomous trucks has become very common. However, the …

A Car-Following Model Integrating Personalized Driving Style Based on the DER-DDPG Deep Reinforcement Learning Algorithm

C Ran, Z Xie, Y Xie, Y Yin, H Ye - IEEE Access, 2024 - ieeexplore.ieee.org
Decision-making and control play a crucial role in autonomous driving to ensure the safety
and efficiency of vehicle operation. With the development of intelligent driving technology …

Autonomous road hazard detection and avoidance system using deep reinforcement learning for intelligent vehicles

S Swathi, SS Vinayagam, JS Sujin… - E-Learning and …, 2024 - journals.sagepub.com
Road hazards significantly contribute to fatalities in traffic accidents. As the number of
vehicles on the road increases, the risk of accidents rises, especially under adverse weather …

Exploring Trends, Perspectives, and Challenges of Artificial Intelligence in Sustainable Mobility: A Systematic Review

S Elbroumi, MA Idrissi, M Chaaouan… - Utilizing Technology to …, 2025 - igi-global.com
This systematic review examines the expanding role of Artificial Intelligence (AI) in
sustainable mobility, analyzing literature from Web of Science and Scopus databases …