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Depot institutionnel de universite Freres mentouri Constantine 1: التقديمات الحديثة

الآن تُعرض المواد 61 -- 80 من 13590

A Comparative Deep Learning Approach for Arrhythmia Classification using 1D and 2D ECG Signals Representations

Bechinia, Hadjer (2024)

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 ...
A Study on Deep Learning Model Performance in Skin Cancer Prediction

Gasmi, Safa (2024)

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, ...
Artificial Intelligence for KPI Prediction in LTE Networks: A Performance Analysis of GRU vs. SARIMA Models

Cheikh, Khaireddine (2024)

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) ...
Lowering features to optimizing intrusion detection

Benaissa, Safa (2024)

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. ...
Enhancing Cyber Attack Detection through Federated Machine Learning: A Privacy-Preserving Framework

Azer, Nabila (2024)

23 Corresponding author email : azeri.nabila@gmail.com Enhancing Cyber Attack Detection through Federated Machine Learning: A Privacy-Preserving Framework Azeri, Nabila*1; Benmerzoug, Djamel2 1Abbes Laghrour University, ...
Enhanced Attention-based Network for Lung Cancer Detection from 2D CT Scans

Laouarem, Ayoub (2024)

Lung cancer remains a leading cause of cancer mortality, emphasizing the importance of early and accurate diagnosis. This study proposes an attention- based CNN model to enhance lung cancer classification from CT scans. ...
Artificial neural networks for optimizing liquid pharmaceutical dosage forms: Application of ibuprofen microemulsions stability

Agouillal, Farid (2024)

Recent studies have focused on leveraging artificial neural networks (ANNs) to optimize the formulation of pharmaceutical drug micro-emulsions, specif-ically targeting the ideal composition of surfactants, co-surfactants, ...
استغلال البنوك في تبييض الأموال.

لفويلي, نور الهدى; طاشور, عبد الحفيظ (Université Frères Mentouri Constantine 1, 2023-05-18)

Many banks contribute to their exploitation of money laundering, either through their direct participation in the crime for researched financial purposes, or by exaggerating the application of the principles of banking ...
عقود الإستثمار في إطار الشراكة بين القطاعين العام و الخاص

رحاحلة, آسيا; حوادق, عصام (Université Frères Mentouri Constantine 1, 2023-06-15)

The majority of countries، including Algeria، are seeking to liberalize the economy and to open up to the market economy by attracting foreign investment with the aim of obtaining foreign capital and by concluding investment ...
A Machine Learning Framework for Detecting Healthcare Fraud Through Optimized Feature Selection and SMOTE

Bounab, Rayene (2024)

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, ...
The Role of AI Tools in Research Methodologies: Perspectives from Researchers in Algerian Universities

Benhamlaoui, ,Meriem (2024)

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 ...
Design and Prototyping of a Smart Wheelchair for People with Reduced Mobility

Cheikh, Khaireddine (2024)

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 ...
From Hallucinations to Truth: Strategies for Improving Chatbot Accuracy and Trustworthiness

Touameur, Ouissem (2024)

16 Corresponding author email : ouissem.touameur@gmail.com From Hallucinations to Truth: Strategies for Improving Chatbot Accuracy and Trustworthiness Ouissem, Touameur*; Harrag, Fouzi Farhat Abbas, Setif University ...
Bridging NLP Gaps: Methodology to Create A Novel Dataset for Named Entity Recognition in Algerian Dialectal Arabic

BELBEKRI, Adel Bouarroudj, Wissem Fouzia, Benchikha (2024)

This paper introduces a methodology to create a dataset designed to address the challenges of Named Entity Recognition (NER) in Algerian Dialectal Arabic (ADA). While significant advancements have been made in NER for ...
Optimization of Nanofluid Thermal Conductivity Using AI: A Genetic Algorithm Approach

Chidouah, Wafa (2024)

Optimizing the thermal conductivity of nanofluids is essential for advanced heat transfer applications. This study explores an artificial intelligence-based approach, using genetic algorithms to optimize the nanoparticle ...
Leveraging YOLOv9 in Agriculture: An Intelligent System for Efficient Weed Detection

Bouacida, Imane (2024)

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 ...
Reinforcement Learning-Driven Task Offloading: Improving MEC Efficiency with DQN and DDPG

Remmache, Mohammed Idris (2024)

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 ...
Community Detection in Multilayer Networks: Challenges, Opportunities and Applications

Boukabene, Randa (2024)

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 ...
When AI boosts reflection: From research questions to guided supervision

Boumendjel, Lilia (2024)

10 Corresponding author email : lilia.boumendjel@umc.edu.dz When AI boosts reflection: From research questions to guided supervision Boumendjel, Lilia* Constantine 1 Frères Mentouri university Abstract The application ...
Attention-Enhanced GRU-Based Intrusion Detection for Multiclass Attacks in IIoT

Gueriani, Afrah (2024)

The rapid expansion of the Internet of Things (IoT) and Industrial Internet of Things (IIoT) has significantly transformed various industries, enabling seamless connectivity and automation. However, this growth has also ...

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