Academic Articles & Research Papers

Time to Move Upstream? A Framework for Expanding the Focus of Freezing of Gait to Prodromal, Subclinical, and Pre-FOG Stages.

ID-Det: Insulator Burst Defect Detection from UAV Inspection Imagery of Power Transmission Facilities

The global rise in electricity demand necessitates extensive transmission infrastructure, where insulators play a critical role in ensuring the safe operation of power transmission systems. However, insulators are susceptible to burst defec...

Electromagnetic Field Distribution Mapping: A Taxonomy and Comprehensive Review of Computational and Machine Learning Methods

Electromagnetic field (EMF) exposure mapping is increasingly important for ensuring compliance with safety regulations, supporting the deployment of next-generation wireless networks, and addressing public health concerns. While numerous su...

Silhouette-driven contrastive learning with hierarchical neighborhood structure for unsupervised clothes change person re-identification

This paper addresses a highly challenging yet critical task: unsupervised person re-identification (Re-ID) under clothing changes. Unfortunately, existing unsupervised person Re-ID methods are mainly designed for short-term scenarios that r...

From Promise to Peril: generative artificial intelligence's potential to deepen educational inequalities in geographically diverse contexts

PurposeThis study critically examines how van Dijk's Digital Divide Theory applies to generative artificial intelligence (GenAI) access in regional, remote and rural (RRR) educational contexts. It interrogates whether a framework designed f...

Membrane surface wettability and roughness under operating conditions and their implications for membrane performance

Membrane wettability is an important factor influencing separation efficiency, fouling resistance, water flux, and durability. Although membrane wetting has been extensively studied, few reviews have quantitatively examined the relationship...

Human- versus Artificial Intelligence

AI is one of the most debated subjects of today and there seems little common understanding concerning the differences and similarities of human intelligence and artificial intelligence. Discussions on many relevant topics, such as trustwor...

A virtual physicist framework integrating dose prediction and large language models for automated treatment planning.

The Use of Artificial Intelligence Tools in Assessing Content Validity: A Comparative Study with Human Experts

This study investigated whether artificial intelligence (AI) systems could evaluate the content validity of B1-level English reading comprehension items in a manner comparable to human experts. A 25-item multiple-choice test was developed a...

Strategies and Dynamics of Online Fraud in Indonesia: Tracing the Effectiveness of the Implementation of the Electronic and Transaction Information Act

This study explores the implementation of the Electronic Information and Transaction Law (UU ITE) in handling online fraud cases in Indonesia, using normative-empirical legal methods. Although the UU ITE provides a comprehensive legal frame...

The use of artificial intelligence in anesthesiology: Attitudes and ethical concerns of anesthesiologists

Background: Existing studies on anesthesiologists’ attitudes toward artificial intelligence (AI) leave a global understanding underexplored. This cross-sectional study aims to investigate Turkish anesthesiologists’ attitudes toward AI, exam...

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments

Abstract Background Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic...

Artificial intelligence and statistics

Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during the generation of data, the development of algorithms, and the evaluation of results....

Artificial Intelligence

Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial in...

When Missing Data Speak: An Adherence-Driven Sparsity Framework for Patient-Generated Telemedicine Data.

Cloud-Based Artificial Intelligence Framework for Battery Management System

As the popularity of electric vehicles (EVs) and smart grids continues to rise, so does the demand for batteries. Within the landscape of battery-powered energy storage systems, the battery management system (BMS) is crucial. It provides ke...

Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks

Abstract The existing static voltage stability margin evaluation methods cannot meet the actual demand of current power grid well in terms of calculation speed and accuracy. Thus, this paper proposes a static voltage stability margin predic...

A multi-state climate epidemiology analysis of Lassa fever using interpretable machine learning and an early warning framework.

Developing nonlinear time-varying weighted combined prediction framework for infectious diseases: validation with respiratory infectious diseases and sexually transmitted infections.

Save Our Roads from GNSS Jamming: A Crowdsource Framework for Threat Evaluation

Global Navigation Satellite Systems (GNSS) jamming is an acute problem in the world of modern navigation. As more and more applications rely on GNSS for both position and timing, jamming ramifications are becoming more severe. In this paper...