Depot institutionnel de universite Freres mentouri Constantine 1: Recent submissions

  • Obésité, asthme, maladies bucco-dentaires et confinement 
    Debbache, Afnane; Rouabah, Leïla (Université Frères Mentouri Constantine 1, 2025-02-20)
    Obesity poses a growing threat to public health in Algeria. The onset of obesity is influenced by a complex interplay of factors, with chronic diseases playing a significant role. Furthermore, asthma and obesity, both ...
  • Contribution à l’étude de comportement des consoles courtes en béton armé renforcées ou réparées par matériaux composites. 
    Zaioune, Hiba; Mezhoud, Samy (Université Frères Mentouri Constantine 1, 2025-02-26)
    The present research provides a comprehensive investigation of the performance of reinforced concrete (RC) corbels that have been reinforced with carbon fiber reinforced polymer (CFRP) under different loading conditions. ...
  • إشكالية التعمير المصغر بالسهول الساحلية 
    هبهوب, نوال; لكحل, عبد الوهاب (Université Frères Mentouri Constantine 1, 2025-01-23)
    Since independence, the Algerian urban area has experienced rapid growth in terms of time and space, which has created an unbalanced urban structure. In an attempt to reduce and restore spatial balance, urban policies have ...
  • Contribution à l’étude numérique de la convection naturelle thermosolutale dans un espace annulaire rempli de nanofluides. 
    Saidani, Lyamine; Djezzar, Mahfoud (Université Frères Mentouri Constantine 1, 2024-12-07)
    The present work is a contribution to the study of thermosolutal magnetohydrodynamic natural convection and entropy generation in a horizontal annular space between two concentric circular cylinders filled with nanofluids ...
  • Rôle des complexes organométalliques dans la dégradation catalytique du sulfamethoxazole en solution aqueuse. 
    Talbi, Khouloud; Mammeri, Lamia (Université Frères Mentouri Constantine 1, 2025-02-27)
    The Fenton process is widely recognized for its efficiency in advanced oxidation of wastewater; however, its large-scale application is hindered by the need for an acidic pH to prevent metal precipitation. In this study, ...
  • Generative Artificial Intelligence and digital sobriety: for an ethical and responsible approach 
    Maouchi, Amel (Université Frères Mentouri - Constantine 1, 25/10/2024)
    Generative Artificial Intelligence (GIA) is driving innovation across sectors, from art and medicine to the automation of complex tasks, by generating sophisticated texts, images, and simulations. However, this ...
  • 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 ...
  • Analyse de la fiabilité des systèmes cohérents. 
    Abada, Lamia; Denche, Mohamed (Université Frères Mentouri Constantine 1, 2025-02-25)
    The 𝑘-out-of-𝑛 system represents a redundancy structure widely used in reliability engineering. It is a system that fails (or operates) if and only if at least k of its components fail (or operate). This type of system ...
  • النّثر الّصوفي القديم 
    مناصر, سعاد; كعوان, محمد (Université Frères Mentouri Constantine 1, 2025-01-16)
    تندرج هذه المقاربة الموسومة: (النثر الصوفي القديم: دراسة في ضوء سيميائيّة الأهواء) في سياق دراسة النثر الصوفي القديم وتحليل أهوائه وآليات اشتغاله، استنادا إلى ما توصلت إليه مخرجات سيميائيات الأهواء عند غريماس وجاك فونتاني، ...
  • Smart Tourism Recommendation System Leveraging Deep Learning and Machine Learning Techniques 
    Chemlal, Maroua; Zedadra, Amina (Université Frères Mentouri - Constantine 1, 25/10/2024)
    Tourism significantly boosts e-commerce by guiding tourists to points of interest (POIs) among countless options online. Recommendation systems have transformed the industry by delivering accurate, preference-based ...
  • Quantum Transmission Protocol with Satellite Repeaters for global covrage communication study 
    Aris, Skander; Asma, Zehani; Sadouni, Salheddine; Abderraouf, Messai (Université Frères Mentouri - Constantine 1, 25/10/2024)
    Long-Distance Quantum Communication is a very important resource in our word, but with the large subscriber members its distribution is very difficult due to the exponential losses of light in optical fibres. As a possible ...
  • 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, ...
  • Machine Learning-Enhanced Gear Fault Detection and Classification via Wavelet Packet Transform Analysis 
    Damou, Ali (Université Frères Mentouri - Constantine 1, 25/10/2024)
    Gear fault detection, diagnosis, and classification are critical yet challenging tasks due to the similarity in spectral features among various gear fault types. This study presents an automated approach for detecting, ...
  • Optimizing Deep Neural Networks with N :M Structured Sparsity 
    Dehbia, AHMED ZAID; ; Djamaa, Badis; Benatia, Akrem (Université Frères Mentouri - Constantine 1, 25/10/2024)
    Deep neural networks (DNNs) have grown increasingly large and complex, which requires effective optimization techniques to improve efficiency and scalability. Sparsity has emerged as a primary and widely adopted optimization ...
  • Optimal Placement and Sizing of Photovoltaic Systems in Power Distribution Networks Using Particle Swarm Optimization 
    Labed, Mohamed Amir; Benidir, Mohamed; Hocine, Sekhane (Université Frères Mentouri - Constantine 1, 25/10/2024)
    This paper presents a novel approach for determining the optimal placement and sizing of photovoltaic (PV) systems in power distribution networks. The proposed methodology employs Particle Swarm Optimization (PSO) to ...
  • 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 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 ...
  • Industrial Transformation through Artificial Intelligence: Optimizing, Automating, and Shaping the Future 
    Lacheheub, Mohammed Nassim; Elhachemi, Gattal1; Sadouni, Salheddine2; Sadouni, Ouissal3 (Université Frères Mentouri - Constantine 1, 25/10/2024)
    This article examines how artificial intelligence (AI) is becoming an integral part of modern industries, revolutionizing and improving existing processes. By automating key tasks and leveraging vast amounts of data, AI ...
  • Optimizing IoT Security Deployment Costs through Graph Theory Techniques 
    Balbal, Samir; Bouamama, Salim (Université Frères Mentouri - Constantine 1, 25/10/2024)
    The expansion of the Internet of Things (IoT) has introduced transformative possibilities by connecting diverse devices, from small-scale sensors to complex systems. However, this connectivity also brings substantial ...
  • 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 ...

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