• 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 ...
• From Data to Prediction: Comparative Analysis of Machine Learning Classifiers for Type 2 Diabetes 

  Samet, Sarra; Samet, Ahmed (Université Frères Mentouri - Constantine 1, 2024-10-25)

  Timely identification and diagnosis of medical conditions hold paramount im portance in averting severe health complications and optimizing healthcare effica-cy. Machine Learning, an offshoot of Artificial Intelligence, ...
• Designing an AI-Powered Safety System for Industrial Protection 

  Raid Diaeddine, Boukhrissa (Université Frères Mentouri - Constantine 1, 2024-10-25)

  This study investigates the application of artificial intelligence (AI) in improving industrial safety through computer vision for motion detection, integrated with a Programmable Logic Controller (PLC) system for ...
• Learner autonomy and artificial intelligence (AI): a possible alliance. 

  Khainnar, Yasmina YK (Université Frères Mentouri - Constantine 1, 2024-10-25)

  While education has always aimed to cultivate the autonomy of the individual, the emergence of artificial intelligence raises new questions. Indeed, by offering customized solutions and automating certain tasks, AI ...
• TAO-LBP: A Novel Approach for Palmprint-Based Biometric Authentication 

  Adjabi, Insaf; Benzaoui, Amir (Université Frères Mentouri - Constantine 1, 2024-10-25)

  Biometric authentication, such as fingerprints and facial recognition, is increasingly used for securing devices and networks but still poses security risks. Palmprints offer a promising alternative. In this work, we ...
• Revolutionizing Urban Road Safety: The Impact of ITS on Driver Behavior in Algeria 

  Ahmed Malek, Nada; Boudour, Rachid (Université Frères Mentouri - Constantine 1, 2024-10-25)

  This study investigates the impact of Intelligent Transportation Systems (ITS) on driver behavior and road safety in Annaba, Algeria, with a particular focus on how these systems influence compliance with traffic ...
• Dynamic Adaptive Deep Learning approach for Algorithm Selection in BBOP 

  Faiza, Afri; Anouar, Boucheham; Talbi, Hichem; Boulehouache, Soufiane; ; Zeltni, Kamel; Skander, Aris (Université Frères Mentouri - Constantine 1, 2024-10-25)

  Choosing the most suitable algorithm for tackling black-box continuous optimization problem (BBOP) is a difficult task. As numerous optimization algorithms are evaluated annually, there is an urgent need for automated ...
• The Use of AI Chatbots in Role-play Simulations for EFL Teaching 

  Boudada, Amani; Sahli, Fatiha (Université Frères Mentouri - Constantine 1, 2024-10-25)

  This study investigates the impact of incorporating an AI-powered chatbot pertaining to ChatGPT in a simulated shopping role-play environment aimed at enhancing English as Foreign Language competencies. In this experiment, ...
• Development of a User-Friendly AI Platform for Modeling Eco Friendly Dye Removal Processes 

  Hebboul, Amel (Université Frères Mentouri - Constantine 1, 2024-10-25)

  Artificial intelligence (AI) has revolutionized various fields, including water treatment and desalination, by improving efficiency and addressing water pollution and scarcity. AI techniques optimize chemical usage, ...
• Neural Machine Translation (NMT) and Large Language Models (LLM) Applied to Scientific Research in Comparative Literature: Which Models for Which Practices? 

  Daroui, Maroua; Bouanaka, Mohamed Ali (Université Frères Mentouri - Constantine 1, 2024-10-25)

  Research in French as a Foreign Language (FLE) is evolving thanks to advances in artificial intelligence, particularly with neural machine translation (NMT) and large language models, which ease access to foreign ...
• 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 ...
• Exploring Transfer Learning Models for Robust Steel Surface Defect Classification: A Comparative Analysis 

  Zaghdoudi, Rachid; Seghiour, Abdellatif (Université Frères Mentouri - Constantine 1, 2024-10-25)

  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 the ...
• 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 ...
• Exploring Risk Classification in smart cities: Insights from a rapid review Study 

  Heroual, Latifa; Bouzerzour, Nour; Seghiour, Abdellatif (Université Frères Mentouri - Constantine 1, 2024-10-25)

  The evolution of smart cities in recent years has been characterized by the integration of key technologies, including IoT, autoadaptive systems, sustainability practices, and AI-driven prediction models. Understanding ...
• Demystifying Artificial Intelligence Biases through the Design of Effective Prompts in Teacher Education 

  Arrar, Salah; Seghiour, Abdellatif (Université Frères Mentouri - Constantine 1, 2024-10-25)

  This contribution takes a pragmatic approach to highlight a range of techniques and strategies aimed at developing critical skills among French language teachers, enabling them to analyze AI-generated results with an ...
• Recent Advances in Deep Multimodal Fusion in Comput-er-Aided Diagnosis Systems: A literature Review 

  Mecifi, Youssera Zoukha; Mohammed, Merzoug; Hadjila, Fethallah (Université Frères Mentouri - Constantine 1, 2024-10-25)

  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 ...
• 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 ...
• Predicting Cardiac Arrest in ICUs Using LSTM 

  Fathoun, Chams Eddine; Laouar, Ridda (Université Frères Mentouri - Constantine 1, 2024-10-25)

  In this research, we introduce a different method of predicting cardiac arrest from log data in Intensive Care Unit (ICU) using Long Short-Term Memory (LSTM) models with training from the MIMIC-IV dataset. We recognize ...
• Machine Learning-Based Fault Detection for Enhanced Reliability in Photovoltaic Systems 

  Halassa, Elmamoune; Seghiour, Abdellatif (Université Frères Mentouri - Constantine 1, 2024-10-25)

  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. ...
• Electricity Consumption Prediction: Impact of Seasonal Variations with Linear Regression and Neural Networks 

  Farah, Rania; Farou, Farou Brahim 2.; Kouahla, Zineddine; Seridi, Hamid (Université Frères Mentouri - Constantine 1, 2024-10-25)

  Meteorological factors, particularly temperature, have a considerable influence on the energy consumption of the Algerian population. Using two real databases, one on temperatures and the other on electricity consumption, ...

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