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National Conference on Artificial Intelligence and Its Applications (NCAIA 2024)
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التقديمات الحديثة

National Conference on Artificial Intelligence and Its Applications (NCAIA 2024): التقديمات الحديثة

الآن تُعرض المواد 21 -- 40 من 78

From data to insights: Evaluating Variational Autoencoders and Generative Autoencoders for Migraine Research in AI Driver Healthcare

Mekki, Soundes (Université Frères Mentouri - Constantine 1, 2024-10-25)

This study investigates the clustering performance of Variational Autoencoders (VAE) and Generative Autoencoders (GAE) on a migraine dataset. Autoencoders (AEs) are increasingly used in unsupervised learning for their ...
Drone-Based Smart Parking System for High-Traffic Areas Using Reflector Detection and Real-Time Vehicle Guidance

Mabrek, Zahia; Farou Brahim; Kouahla, Zineddine; Seridi, Hamid (Université Frères Mentouri - Constantine 1, 2024-10-25)

Finding available parking spaces in high-traffic, outdoor areas remains a significant challenge, leading to increased search times, congestion, and vehicle emissions. Traditional parking management systems, which rely ...
Federated Learning and Edge Caching for Enhancing Security and Efficiency in IoV Networks

Baghiani, Radouane (Université Frères Mentouri - Constantine 1, 2024-10-25)

In the evolving Internet of Vehicles (IoV) landscape, ensuring security and efficiency is critical. This study integrates Federated Learning (FL) with edge caching to address these challenges. FL allows decentralized ...
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. ...
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 ...
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 ...
Enhancing Single-Sample-Face-Recognition with Multi-Resolution Analysis Techniques

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

Single Sample Face Recognition (SSFR) is a biometric technique that identifies individuals based on only one image of their face. Unlike traditional facial recognition systems that can use multiple images to enhance ...
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 ...
Automated Brain Tumor Classification using a Fine-Tuned EfficientNet Model

Bouguerra, Oussama; Guenani, Moussa; Attallah, Bilal; Brik, Youcef (Université Frères Mentouri - Constantine 1, 2024-10-25)

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. ...
Attitudes and Ethical Concerns Toward AI Tools in Algerian Higher Education

Benhamlaoui, Maroua; Benzadri, Zakaria; Sadouni, Ouissal (Université Frères Mentouri - Constantine 1, 2024-10-25)

This study investigates Algerian teachers' and students' attitudes toward and concerns regarding the use of AI tools in higher education. Preliminary findings from a questionnaire conducted with English students at ...
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 ...
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 ...
Deep Learning Approaches for Energy Optimization in CPS: A survey

Bouchami, Ramla; Ouided, Hioual; Ouassila, Hioual (Université Frères Mentouri - Constantine 1, 2024-10-25)

Cyber-physical systems (CPS) are an essential component of modern applications, but their energy consumption is a major challenge. This study aims to explore ways to improve the energy efficiency of these systems by ...
Reinforcement Learning-Driven Task Offloading: Improving MEC Efficiency with DQN and DDPG

Remmache, Mohammed Idris; Boudouh, Saida Sarra;; Bendouma, Tahar;; abdelhafidi, Zohra (Université Frères Mentouri - Constantine 1, 2024-10-25)

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

Boukabene, Randa; Benbouzid-Si Tayeb, Fatima (Université Frères Mentouri - Constantine 1, 2024-10-25)

Community 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 ...
Leveraging AI for Advancements in Qualitative Research Methodology

Haouam, Ilyas (Université Frères Mentouri - Constantine 1, 2024-10-25)

This study explores the various Artificial Intelligence (AI) technologies, such as natural language processing and machine learning, that enhance qualitative re search processes. AI's capabilities streamline data ...
Machine Learning Clustering Techniques for IoT Networks: Comparative Study

Bengherbia, Ayoub; Madaci, Wissal2;; Bouterfif, Asma (Université Frères Mentouri - Constantine 1, 2024-10-25)

Clustering is the process of dividing a sample of data points into groups called clusters. Nodes in the same group share some commonalities, while every group differs from others. In this paper, we compare multiple ...
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 ...
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 ...

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