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 ...
Timely 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 ...
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 ...
Biometric authentication, such as fingerprints and facial recognition, is
increasingly used for securing devices and networks but still poses security risks.
Palmprints offer a promising alternative. In this work, we ...
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 ...
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 ...
This study investigates the impact of incorporating an AI-powered chatbot
pertaining to ChatGPT in a simulated shopping role-play environment aimed at
enhancing English as Foreign Language competencies. In this experiment, ...
Artificial intelligence (AI) has revolutionized various fields, including water
treatment and desalination, by improving efficiency and addressing water
pollution and scarcity. AI techniques optimize chemical usage, ...
Research in French as a Foreign Language (FLE) is evolving thanks to advances
in artificial intelligence, particularly with neural machine translation (NMT) and
large language models, which ease access to foreign ...
In this paper, we proposed using the Analytical Hierarchical Process (AHP) model
as a multicriteria decision-making method to establish a more accurate system
for evaluating the attack's severity on network performance ...
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 ...
Facial recognition technologies, a key component of biometric detection
systems, are increasingly adopted across multiple sectors due to their reliability
in authentication and user-friendly application. These systems ...
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 ...
Artificial Intelligence (AI) plays an increasingly essential role in optimizing
manufacturing processes, where precision and quality are critical. This study
employs the Grey Wolf Optimizer (GWO), a meta-heuristic ...
In this research, we introduce a different method of predicting cardiac arrest
from log data in Intensive Care Unit (ICU) using Long Short-Term Memory
(LSTM) models with training from the MIMIC-IV dataset. We recognize ...
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, ...