DSpace Repository

Browsing Maison de l'Intelligence Artificielle by Title

Browsing Maison de l'Intelligence Artificielle by Title

Sort by: Order: Results:

  • A Comparative Deep Learning Approach for Arrhythmia Classification using 1D and 2D ECG Signals Representations 
    Bechinia, Hadjer; Benmerzoug, Djamel (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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 Machine Learning Approach for Optimizing Ship Dwell Time at Maritime Container Terminals 
    Benghalia, Abderaouf; Ferdjallah, Amani (Université Frères Mentouri - Constantine 1, 25/10/2024)
    Maritime transport plays a crucial role in the economy due to the continuous in- crease in freight volume. The maritime interface, where ships depart and arrive, is central to this activity. One of the key performance ...
  • A Machine Learning Framework for Detecting Healthcare Fraud Through Optimized Feature Selection and SMOTE 
    Bounab, Rayene; Benzerogue, Sarra; Guelib, Bouchra; ZAROUR , Karim (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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, ...
  • A Study on Deep Learning Model Performance in Skin Cancer Prediction 
    Gasmi, Safa; Djebbar, Akila; Halladja, Ghada; Merouani, Hayet Farida (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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, ...
  • Addressing the challenge of few-shot learning in CNN-based fingerprint recognition systems 
    Belguechi, Rima (Université Frères Mentouri - Constantine 1, 25/10/2024)
    Over the past decade, deep learning has transformed mul- timedia processing and, consequently, biometrics, due to its ability to learn meaningful features directly from raw data. The effectiveness of this learning depends ...
  • Advancing Beekeeping: Leveraging AI and Satellite Imagery in Agriculture 
    TOUMI, Soumya Soundous; Seloua, Haddaoui; Badr Eddine, Miles; Chikhi , Salim (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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 ...
  • AI Applications in Geosciences: An overview 
    Belala, Zoheir; Sadouni, salheddine; Boukhezar, Rafik (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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, ...
  • Artificial Intelligence for KPI Prediction in LTE Networks: A Performance Analysis of GRU vs. SARIMA Models 
    Cheikh, Khaireddine; Charaf Eddine, Boulemkahel ; Yousra, Zaouache (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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) ...
  • Artificial neural networks for optimizing liquid pharmaceutical dosage forms: Application of ibuprofen microemulsions stability 
    Agouillal, Farid; Daya, Mancer (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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, ...
  • Attention-Enhanced GRU-Based Intrusion Detection for Multiclass Attacks in IIoT 
    Gueriani, Afrah; Kheddar, Hamza; Mazari, Ahmed Cherif (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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 ...
  • Automated Brain Tumor Classification using a Fine-Tuned EfficientNet Model 
    Bouguerra, Oussama; Guenani, Moussa2; Attallah, Bilal1; Brik, Youcef (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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 ...
  • Bridging NLP Gaps: Methodology to Create A Novel Dataset for Named Entity Recognition in Algerian Dialectal Arabic 
    BELBEKRI, Adel; Bouarroudj, Wissem Fouzia, Benchikha (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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 ...
  • Classification of Data Generated by Gaussian Models 
    Megouache, Leila; Sadouni, Salheddine2; Zitouni, Abdelhafid1; Sadouni, Ouissal1; Djoudi, Mahieddine (Université Frères Mentouri - Constantine 1, 25/10/2024)
    30 Corresponding author email : megouache_leila@yahoo.fr Classification of Data Generated by Gaussian Models Leila, Megouache*1; Sadouni, Salheddine2; Zitouni, Abdelhafid1; Sadouni, Ouissal1; Djoudi, Mahieddine3 1LIRE ...
  • Community Detection in Multilayer Networks: Challenges, Opportunities and Applications 
    Boukabene, Randa; Benbouzid-Si Tayeb, Fatima (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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 ...
  • Design and Prototyping of a Smart Wheelchair for People with Reduced Mobility 
    Cheikh, Khaireddine; Belhi, Khadidja (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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 ...
  • Enhanced Attention-based Network for Lung Cancer Detection from 2D CT Scans 
    Laouarem, Ayoub; Chabane, Mafaza; Kara-Mohamed, Chafia; Berrimi, Mohamed; Hamdi, Skander (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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. ...
  • Enhanced COVID-19 Detection in CT Images using Preprocessed Dense Convolutional Neural Networks 
    ; Bouguerra, Oussama; Attallah, Bilal; Brik, Youcef (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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 ...
  • Enhancing a Diabetes Prediction-Aided System : The Impact of SMOTE 
    Samet, Sarra; Samet, Ahmed2; Laouar, Ridda2 (Université Frères Mentouri - Constantine 1, 25/10/2024)
    New public health issue (COVID-19) was beginning to emerge in the latter part of 2019 with a risk that specifically affected diabetics. The use of algorithm- based methods and artificial intelligence to help clinical ...
  • Enhancing Cyber Attack Detection through Federated Machine Learning: A Privacy-Preserving Framework 
    Azer, Nabila; Benmerzoug, Djamel (Université Frères Mentouri - Constantine 1, 25/10/2024)
    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, ...
  • Enhancing Language Learning: The Role and Impact of Artificial Intelligence in EFL Education 
    Sadouni, Ouissal; Sadouni, Salheddine2; Zitouni, Abdelhafid3; Benhamlaoui, Maroua2; Leila, Megouache1; Benzadri , Zakaria3 ; Lacheheub, Mohammed Nassim (Université Frères Mentouri - Constantine 1, 25/10/2024)
    Integrating Artificial Intelligence (AI) in English as a Foreign Language (EFL) education fundamentally reshapes traditional pedagogical frameworks, offering new avenues for enhancing language acquisition and improving ...

Search DSpace


Browse

My Account