Gradient-based optimizer (gbo): a review, theory, variants, and applications

MS Daoud, M Shehab, HM Al-Mimi, L Abualigah… - … Methods in Engineering, 2023 - Springer
This paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …

Improved dropping attacks detecting system in 5g networks using machine learning and deep learning approaches

A Mughaid, S AlZu'bi, A Alnajjar, E AbuElsoud… - Multimedia Tools and …, 2023 - Springer
Abstract Non Orthogonal Multiple Access (NOMA) successfully drew attention to the
deployment of 5th Generation (5G) wireless communication systems, and it is now …

A novel machine learning and face recognition technique for fake accounts detection system on cyber social networks

A Mughaid, I Obeidat, S AlZu'bi, EA Elsoud… - Multimedia Tools and …, 2023 - Springer
Abstract Online Social Networks (OSN) such as Facebook, Instagram, Twitter, and others
have seen rapid growth in recent years. Such applications provide attractive online social …

Optimizing Traffic Flow With Reinforcement Learning: A Study on Traffic Light Management

A Merbah, J Ben-Othman - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
The non-adaptive management of traffic lights has proven inefficient for a number of
drawbacks. They mainly impinge on CO2 emissions, fuel consumption, traffic waiting time …

Privacy preservation in the internet of vehicles using local differential privacy and IOTA ledger

Z Iftikhar, A Anjum, A Khan, MA Shah, G Jeon - Cluster Computing, 2023 - Springer
With the growth in Vehicular Ad Hoc Network (VANET) technology, many vehicular devices
are communicating with each other and with the edge nodes, generating a massive amount …

Multi‐criteria evolutionary optimization of a traffic light using genetics algorithm and teaching‐learning based optimization

H Yektamoghadam, A Nikoofard, M Behzadi… - Expert …, 2024 - Wiley Online Library
Today, the development of urbanization and increasing the number of vehicles has resulted
in displeased consequences like traffic congestion and vehicle queuing. The vast majority of …

From Vision to Reality: The Use of Artificial Intelligence in Different Urban Planning Phases

F Othengrafen, L Sievers, E Reinecke - Urban Planning, 2025 - ssoar.info
In an urban context, the use of artificial intelligence (AI) can help to categorise and analyse
large amounts of data quickly and efficiently. The AI approach can make municipal …

[PDF][PDF] A New System for Road Traffic Optimisation Using the Virtual Traffic Light Technology.

AAA Alkhatib, AA Hnaif… - Computer Systems Science …, 2023 - cdn.techscience.cn
Large cities suffer from traffic congestion, particularly at intersections, due to a large number
of vehicles, which leads to the loss of time by increasing carbon emissions, including fuel …

A Survey on Cyber Security in Smart Grids using Internet of Things

H Alamereah, AAA Alkhatib… - 2023 International …, 2023 - ieeexplore.ieee.org
Smart grid technology is a critical application of the Internet of Things, and it is gaining
popularity in the science and technology arena. However, it is also highly vulnerable to …

A study of trajectory selection based on pedestrian willingness in extreme situations

Z Ding - 2023 IEEE International Conference on Control …, 2023 - ieeexplore.ieee.org
With the improvement of urban intelligence, trajectory prediction technology can accurately
predict the future trajectory of pedestrians to reduce collisions and avoid human-vehicle …