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National Conference on Artificial Intelligence and Its Applications (NCAIA 2024): Recent submissions

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Application Vision Transformers On Face Age Regression

Chami, Ahmed Chaouki; Chami, Ahmed Chaouki (2024)

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 (2024)

imely 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

Boukhrissa, Raid Diaeddine (2024)

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 real-time ...
Learner autonomy and artificial intelligence (AI): a possible alliance.

Khainnar, Yasmina YK (2024)

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 might ...
Revolutionizing Urban Road Safety: The Impact of ITS on Driver Behavior in Algeria

Ahmed Malek, Nada (2024)

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 regulations ...
Dynamic Adaptive Deep Learning approach for Algorithm Selection in BBOP

Afri, Faiza (2024)

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 methods ...
The Use of AI Chatbots in Role-play Simulations for EFL Teaching

Boudada, Amani (2024)

69 Corresponding author email : boudada.amani@doc.umc.edu.dz The Use of AI Chatbots in Role-play Simulations for EFL Teaching Boudada, Amani*; Sahli, Fatiha Mentouri University of Constantine1 Abstract This study ...
Exploring Transfer Learning Models for Robust Steel Surface Defect Classification: A Comparative Analysis

Zaghdoudi, Rachid (2024)

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

Heroual, Latifa (2024)

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 (2024)

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 (2024)

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 ...
Machine Learning-Based Fault Detection for Enhanced Reliability in Photovoltaic Systems

Halassa, Elmamoune; Halassa, Elmamoune (2024)

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 (2024)

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

Mekki, Soundes (2024)

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 (2024)

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 ...
Generative Artificial Intelligence and digital sobriety: for an ethical and responsible approach

Maouchi, Amel (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 (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 (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 (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 (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, ...

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