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Abstract Artificial intelligence (AI) has transformed social media into a powerful tool for educational learning engagements. WeChat, a Chinese social media platform, is extensively used by students for academic learning...

Federated learning (FL) is a decentralized machine learning (ML) approach that can be used for intrusion detection in Internet of Things (IoT) devices. It involves the local training of AI models and their aggregation at...

Background: Arabic learning is learning that requires components as tools to help students understand the material being taught. These components are like learning media. However, at MTs al-Khairat Gorontalo City, especi...

Abstract Background Thoracic surgery involves complex diseases and critically ill patients, demanding doctors to integrate solid theoretical knowledge with practical skills. Clinical medical students, however, often stru...

The recent Zero-Trust Architecture (ZTA) is progressively adopted to the develop network security by assuming no implicit trust within or outside an organization’s boundary. Though, ZTA faces substantial challenge...

Abstract Objective This study aims to evaluate student acceptance of a Smart Learning Platform (SLP) (based on the Chaoxing Learning System™) to deliver a cardiopulmonary physiotherapy curriculum. The SLP leverages AI-...

Power transformers are critical components of power systems, and their safe and reliable operation is essential for both industrial and residential applications. Real-time condition monitoring and early fault detection a...

Chemical literacy as a scientist’s life skill needs to be promoted through teaching and learning activities. This study aims to implement socio-scientific issue (SSI)-based learning to improve chemical literacy skills ...

The study aimed to analyse the effectiveness of traditional, innovative, and digital approaches to individualising the educational process and student adaptation within the educational systems of Bulgaria, Kyrgyzstan, an...

Wildfires are among the most destructive natural disasters and pose significant risks to ecosystems, infrastructure, and human lives. This study focuses on wildfire susceptibility mapping in Los Angeles County, a region ...

Abstract Background Despite growing attention to equity and cultural safety in medical education, Indigenous methodologies remain largely absent from the core structure of clinical training in Canada and America. Current...

Abstract This paper investigates the extent to which dishonest behavior can be predicted using behavioral personality traits and physiological information. An interpretable machine learning approach, SHapley Additive exP...

In recent years, the advancement of artificial intelligence techniques has led to significant interest in reinforcement learning (RL) within the traffic and transportation community. Dynamic traffic control has emerged a...

Abstract Background Musculoskeletal diseases, such as Juvenile Idiopathic Arthritis (JIA), can lead to altered joint mobility and changes in gait pattern. While marker-based motion capture systems are considered the gold...

Abstract Understanding human emotions across multiple modalities such as text and images, is increasingly important for applications including content personalization, social media analysis, and Human–Computer Interact...

IntroductionAcute Lymphoblastic Leukemia (ALL) is a hematological malignancy, which is life-threatening and demands rapid and precise diagnosis to either enhance or worsen the survival chances. Traditional diagnostic met...

While physics models for predicting system states can reveal fundamental insights owing to their parsimonious structure, they may not always yield the most accurate predictions, particularly for complex systems. As an al...

Abstract Unsupervised visible-infrared person re-identification (USL-VI-ReID) aims to match person images across visible and infrared modalities without any labeled data, which is severely hindered by the large cross-mod...

Sevgi Ünal,1 Remzi Gürfidan2 1Department of Radiology, Izmir Katip Celebi University Ataturk Training and Research Hospital, Izmir, Türkiye; 2Database, Network Design and Management, Isparta University of Applied Scie...

This study focuses on designing and developing the Citizenship Education model to strengthen students' character. A continuous effort is needed to create several learning models that strengthen students' positive charact...

Abstract Substantial efforts have been made to modernize and decarbonize the waste collection industry. Smart sensor-based waste collection (SWC) systems have been developed to optimize collection routes based on the act...

This research explains how the dimensions of critical thinking develop and are consistent in students by learning directly in a project-based contextual manner through small research that they choose. The research method...

Extensive research has demonstrated that music enhances cognitive functions, such as learning, reasoning, and memory. This study investigated the influence of music on short- and long-term memory while learning through t...

This Campbell systematic review assesses the effectiveness of school‐based decision‐making. The review summarises findings from 17 impact studies and nine studies of barriers and enablers. School‐based decision‐m...