Exploring the advancements and future research directions of artificial neural networks: a text mining approach

E Kariri, H Louati, A Louati, F Masmoudi - Applied Sciences, 2023 - mdpi.com
Artificial Neural Networks (ANNs) are machine learning algorithms inspired by the structure
and function of the human brain. Their popularity has increased in recent years due to their …

CiteSpace-based bibliometric review of pickup and delivery problem from 1995 to 2021

X Zang, Y Zhu, Y Zhong, T Chu - Applied Sciences, 2022 - mdpi.com
In this paper, we adopt the bibliometric analysis software CiteSpace to analyze the research
status quo and evolution trend of pickup and delivery problem (PDP), an important real …

Cloud-assisted collaborative estimation for next-generation automobile sensing

A Louati - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
This research proposes a unique cloud-assisted collaborative estimating system for on-road
sensors like potholes, ice, and road profile to develop next-generation automobiles that are …

Price forecasting for real estate using machine learning: A case study on Riyadh city

A Louati, R Lahyani, A Aldaej… - Concurrency and …, 2022 - Wiley Online Library
Real estate is potentially contributing to the economic growth. It has a strong correlation
between property owners and beneficiaries. The accurate forecast of future property prices …

Joint design and compression of convolutional neural networks as a bi-level optimization problem

H Louati, S Bechikh, A Louati, A Aldaej… - Neural Computing and …, 2022 - Springer
Over the last decade, deep neural networks have shown great success in the fields of
machine learning and computer vision. Currently, the CNN (convolutional neural network) is …

Enhancing intersection performance for tram and connected vehicles through a collaborative optimization

A Louati, E Kariri - Sustainability, 2023 - mdpi.com
This article tackles a pervasive problem in connected transportation networks: the issue of
conflicting right-of-way between trams and Connected Vehicles (CV) at intersections. Trams …

Automatic MILP solver configuration by learning problem similarities

A Hosny, S Reda - Annals of Operations Research, 2024 - Springer
A large number of real-world optimization problems can be formulated as Mixed Integer
Linear Programs (MILP). MILP solvers expose numerous configuration parameters to control …

Evolutionary optimization for CNN compression using thoracic X-ray image classification

H Louati, S Bechikh, A Louati, A Aldaej… - … Conference on Industrial …, 2022 - Springer
Computer Vision, as an area of Artificial Intelligence, has recently achieved success in
tackling numerous difficult challenges in health care and has the potential to contribute to …

Topology optimization search of deep convolution neural networks for CT and X-ray image classification

H Louati, A Louati, S Bechikh, F Masmoudi… - BMC Medical …, 2022 - Springer
Covid-19 is a disease that can lead to pneumonia, respiratory syndrome, septic shock,
multiple organ failure, and death. This pandemic is viewed as a critical component of the …

Real-time self-adaptive traffic management system for optimal vehicular navigation in modern cities

Y Benmessaoud, L Cherrat, M Ezziyyani - Computers, 2023 - mdpi.com
The increase in private car usage in cities has led to limited knowledge and uncertainty
about traffic flow. This results in difficulties in addressing traffic congestion. This study …