13
Corresponding author email : bouacidaimane1@gmail.com
Leveraging YOLOv9 in Agriculture: An Intelligent System for
Efficient Weed Detection
Bouacida, Imane*
8 mai 1945 Guelma University
Abstract
This research ...
19
Corresponding author email : benhamlaoui.meriem@ensc.dz
The Role of AI Tools in Research Methodologies: Perspectives
from Researchers in Algerian Universities
Benhamlaoui, Meriem*
Ecole Narmale Supérieure Assia ...
The rapid evolution of edge computing, particularly Mobile Edge Computing
(MEC), has prompted the need for efficient task offloading strategies to optimize
network resources, energy consumption, and latency. As applications ...
17
Corresponding author email : khaireddine.cheikh@umc.edu.dz
Design and Prototyping of a Smart Wheelchair for People with
Reduced Mobility
Cheikh, Khaireddine*; Belhi, Khadidja
Constantine 1 University
Abstract
This ...
Healthcare fraud remains a major financial burden, requir-
ing precise and efficient detection methods. Traditional machine learning
(ML) models often face limitations due to redundant features and dataset
imbalance, ...
ommunity detection represents a highly promising area of research; however,
the analysis of networks characterized by multiple types of relationships called
multilayer networks remains underexplored, presenting significant ...
Early and accurate brain tumor detection is critical for effective treatment
planning and improving patient outcomes. Traditional diagnostic methods, such
as biopsies, are invasive and can delay timely intervention. This ...
This study addresses the need for rapid and accurate COVID-19 diagnosis by
utilizing Convolutional Neural Networks (CNNs) on CT chest images. Given the
limitations of traditional RT-PCR testing, CT imaging has emerged ...
Skin cancer, one of the fastest-growing cancer types globally, includes both
benign and malignant forms. Recent advances in artificial intelligence have
enabled the early detection of various diseases with high accuracy, ...
Arrhythmias, defined as irregular heartbeats, play a vital
role in the early detection of heart disorders using Electrocardiogram (ECG)
signals, which capture the heart’s electrical activity and offer valuable insights
into ...
This study addresses the forecasting of Key Performance Indicators (KPIs) in
LTE net-works through a comparative analysis of advanced machine learning
and statistical models, specifically the Gated Recurrent Unit (GRU) ...
Weather prediction is a crucial tool for a wide range of applications, including
ag-riculture, transportation, and disaster preparedness and response. It remains
one of the most complex scientific and technological ...
he exponential development of digital technology exposes systems to
increasingly high security risks, making intrusion detection a major issue in this
context. In this study, the authors present a two-step approach. ...
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 ...
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. ...
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 ...