Improving flight delays prediction by developing attention-based bidirectional LSTM network

M Mamdouh, M Ezzat, H Hefny - Expert Systems with Applications, 2024 - Elsevier
Recently, the significance of accurate aircraft delay forecasting has grown in the aviation
sector, which caused multi-billion-dollar losses faced by airlines and airports and passenger …

A comprehensive survey on communication techniques for the realization of intelligent transportation systems in IoT based smart cities

Y Rajkumar, SVN Santhosh Kumar - Peer-to-Peer Networking and …, 2024 - Springer
Traffic has been on the rise since the past decade that pose threats to driving safety and
traffic efficiency. Intelligent Transportation System (ITS) evolved as an alternative solution to …

Comparative Analysis of the Implementation of Support Vector Machines and Long Short-Term Memory Artificial Neural Networks in Municipal Solid Waste …

JK Solano Meza, D Orjuela Yepes… - International Journal of …, 2023 - mdpi.com
The development of methodologies to support decision-making in municipal solid waste
(MSW) management processes is of great interest for municipal administrations. Artificial …

[HTML][HTML] Enhancing smart road safety with federated learning for Near Crash Detection to advance the development of the Internet of Vehicles

Y Djenouri, AN Belbachir, T Michalak, A Belhadi… - … Applications of Artificial …, 2024 - Elsevier
We introduce an innovative methodology for the identification of vehicular collisions within
Internet of Vehicles (IoV) applications. This approach combines a knowledge base system …

Towards intelligent trust-based incident and evidence management models for Internet of Vehicles: A survey

AO Philip, MU Sreeja, R Paul… - Computers and Electrical …, 2024 - Elsevier
Abstract Internet of Vehicles (IoV) is a rapidly evolving technology that attracts interest from
active research communities such as Internet of things, data security and Artificial …

A comparative analysis of recurrent neural network and support vector machine for binary classification of spam short message service

D Odera, G Odiaga - … Journal of Advanced Engineering Technology and …, 2023 - wjaets.com
Over the years, communication through Short Message Service (SMS) has been a primary
tool for mobile subscribers. SMS has varied applications in health, industry, finances …

PM2.5 concentration prediction based on EEMD-ALSTM

Z Liu, D Ji, L Wang - Scientific Reports, 2024 - nature.com
The concentration prediction of PM2. 5 plays a vital role in controlling the air and improving
the environment. This paper proposes a prediction model (namely EEMD-ALSTM) based on …

An enhanced asynchronous advantage actor-critic-based algorithm for performance optimization in mobile edge computing-enabled internet of vehicles networks

K Moghaddasi, S Rajabi… - Peer-to-Peer Networking …, 2024 - Springer
Abstract Adopting Internet of Vehicles (IoV) technology has led to many new uses to improve
traffic control, safety, and entertainment services. Still, the increasing amount of information …

Eco-speed optimization model for active rear-end collision avoidance of connected and automated vehicles on freeways

Q Liu, X Xu - Sustainable Energy Technologies and Assessments, 2023 - Elsevier
This paper proposed an eco-speed optimization model for active rear-end collision
avoidance of connected and automated vehicles on freeways in the scene of dangerous …

Enhancing Road Safety Using the Internet of Vehicles: A Machine Learning-Based Collision Detection Approach

SA Elsagheer, Y Atallah… - 2023 11th International …, 2023 - ieeexplore.ieee.org
Traffic accidents have been one of the most common causes of fatalities. With the advance
of technologies and Machine Learning (ML), the Internet of Vehicles (IoV) has recently …