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 ...

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, ...

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 ...

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, ...

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) ...

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 ...

This paper introduces a methodology to create a dataset designed to address the challenges of Named Entity Recognition (NER) in Algerian Dialectal Arabic (ADA). While significant advancements have been made in NER for ...

ommunity 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 significant ...

17 Corresponding author email : khaireddine.cheikh@umc.edu.dz Design and Prototyping of a Smart Wheelchair for People with Reduced Mobility Cheikh, Khaireddine*; Belhi, Khadidja Constantine 1 University Abstract This ...

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 ...