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  • 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 Comparative Study of Computational and Linguistic Approaches to Summarization 
    Benzadri, Zakaria; Benhamlaoui, Maroua2;; Sadouni, Ouissal3; Hamaz,; Hamaz Kamal1;; Sadouni, Salheddine2 (Université Frères Mentouri - Constantine 1, 2024-10-25)
    In the digital age, summarization is a vital tool for information management, condensing vast quantities of data into manageable insights. This paper examines two primary approaches to summarization—computational and ...
  • A comprehensive evaluation of deep learning models for fingerprint liveness detection 
    Herbadji, Abderrahmane; Kahia, Hichem; Guermat, Noubeil3;; herbadji, djamel4;; Azzog, Rabeh (Université Frères Mentouri - Constantine 1, 2024-10-25)
    Fingerprint recognition systems have shown some weaknesses related to security issues such as fake presentation attacks. Therefore, it is necessary to protect these systems against attacks by incorporating fingerprint ...
  • A Deep Learning Approach to Face Detection and Recognition 
    Sekhri, Zaki; MEKHMOUKH, Abdenour; Zribi, Mourad (Université Frères Mentouri - Constantine 1, 2024-10-25)
    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 ...
  • 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 ...
  • Advancing Historiographical Practice: The Role of AI as a Virtual Supervisor in Structuring PhD Students’ Historical Research Methodology 
    Sahli, Fatiha (Université Frères Mentouri - Constantine 1, 2024-10-25)
    In terms of speed learning, the integration of Artificial Intelligence (AI) into academic research offers significant advantages for PhD students to use advanced research methodology techniques in their research works. ...
  • 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, ...
  • AI-Based Optimization of Welding Process Parameters for Maximizing Quality 
    Haddad, Mohammed; Lekouaghet, Badis; Hamouda, Noureddine (Université Frères Mentouri - Constantine 1, 2024-10-25)
    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 ...
  • An Ontology-Based Architecture for Intelligent Transport Systems in Smart Cities 
    Hamaz, Kamal; Benzadri, Zakaria; Sadouni, Salheddine (Université Frères Mentouri - Constantine 1, 2024-10-25)
    Intelligent Transport Systems (ITS) leverage advanced in- formation and communication technologies to enhance the safety and efficiency of road transport. The integration of sensors, whether embed- ded in vehicles or ...
  • Analytic Hierarchy Process for the Evaluation of Attacks' Severity Level within WBANs 
    Abdessamad, Goumidi Mohammed; Ehlem, Zigh; Adda Belkacem, Alipacha (Université Frères Mentouri - Constantine 1, 2024-10-25)
    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 ...
  • Application of Artificial Intelligence in Welding: Optimizing Process Parameters to Enhance Quality 
    Lekouaghet, Badis; Haddad, Mohammed;; Hamouda, Noureddine (Université Frères Mentouri - Constantine 1, 2024-10-25)
    The precision of parameter selection in submerged arc welding (SAW) significantly influences weld quality, strength, and efficiency in industrial manufacturing. Artificial Intelligence (AI) offers advanced tools for ...
  • Application Vision Transformers On Face Age Regression 
    Chami, Ahmed Chaouki; Ajgou, Riadh (Université Frères Mentouri - Constantine 1, 2024-10-25)
    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 ...
  • Applying Sentiment Analysis to Detect Fake News in Online Content 
    Badia, Klouche; Saidi, Imene2;; Bencherif, Khayra2;; Mahammed, Nadir (Université Frères Mentouri - Constantine 1, 2024-10-25)
    Fake news is spreading increasingly across social media and online platforms in a troubling manner, posing a crucial and concerning challenge for our so-ciety. Detecting misleading content and analyzing the sentiments ...
  • 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 ...

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