Transformers have recently gained signifcant attention in machine learning due
to their self-attention mechanisms, which allow models to dynamically assess
the importance of different input elements. Although originally ...
imely identification and diagnosis of medical conditions hold paramount im-
portance in averting severe health complications and optimizing healthcare
effica-cy. Machine Learning, an offshoot of Artificial Intelligence, ...
This study investigates the application of artificial intelligence (AI) in improving
industrial safety through computer vision for motion detection, integrated with
a Programmable Logic Controller (PLC) system for real-time ...
While education has always aimed to cultivate the autonomy of the individual,
the emergence of artificial intelligence raises new questions. Indeed, by offering
customized solutions and automating certain tasks, AI might ...
This study investigates the impact of Intelligent Transportation Systems (ITS)
on driver behavior and road safety in Annaba, Algeria, with a particular focus on
how these systems influence compliance with traffic regulations ...
Choosing the most suitable algorithm for tackling black-box continuous
optimization problem (BBOP) is a difficult task. As numerous optimization
algorithms are evaluated annually, there is an urgent need for automated
methods ...
69
Corresponding author email : boudada.amani@doc.umc.edu.dz
The Use of AI Chatbots in Role-play Simulations for EFL
Teaching
Boudada, Amani*; Sahli, Fatiha
Mentouri University of Constantine1
Abstract
This study ...
Defect detection in steel surfaces is critical for maintaining
product quality and ensuring safety in manufacturing processes. This paper
presents a comparative study of various transfer learning models applied to ...
The evolution of smart cities in recent years has been characterized by the
integration of key technologies, including IoT, autoadaptive systems,
sustainability practices, and AI-driven prediction models. Understanding ...
This contribution takes a pragmatic approach to highlight a range of techniques
and strategies aimed at developing critical skills among French language
teachers, enabling them to analyze AI-generated results with an ...
Deep learning-based approaches have demonstrated great results; in handling
the complexities of multimodal data and learning informative repre-sentations
from heterogeneous modalities, these multimodal fusion techniques ...
This paper presents a novel approach for fault detection in
photovoltaic (PV) systems using an Artificial Neural Network (ANN) model,
designed to improve operational reliability and enhance power generation
efficiency. ...
Meteorological factors, particularly temperature, have a considerable influence
on the energy consumption of the Algerian population. Using two real databases,
one on temperatures and the other on electricity consumption, ...
This study investigates the clustering performance of Variational Autoencoders
(VAE) and Generative Autoencoders (GAE) on a migraine dataset. Autoencoders
(AEs) are increasingly used in unsupervised learning for their ...
Finding available parking spaces in high-traffic, outdoor areas remains a
significant challenge, leading to increased search times, congestion, and vehicle
emissions. Traditional parking management systems, which rely ...
Generative Artificial Intelligence (GIA) is driving innovation across sectors, from
art and medicine to the automation of complex tasks, by generating
sophisticated texts, images, and simulations. However, this ...
The integration of Artificial Intelligence (AI) and satellite imagery in beekeeping
presents a transformative approach to hive management and environmental
monitoring. This study explores the potential of leveraging AI ...
Tourism significantly boosts e-commerce by guiding tourists to points of interest
(POIs) among countless options online. Recommendation systems have
transformed the industry by delivering accurate, preference-based ...
Long-Distance Quantum Communication is a very important resource in our
word, but with the large subscriber members its distribution is very difficult due
to the exponential losses of light in optical fibres. As a possible ...
Artificial intelligence (AI) has significantly changed many scientific disciplines,
including geology, in recent decades. This article reviews current applications of
AI in geology, such as analyzing data, process modeling, ...