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Cyber-attacks have increased in number and severity, which has negatively affected businesses and their services. As such, cyber security is no longer considered merely a technological problem, but must also be considere...

A wall jet is a typical flow field encountered in various engineering fields, including the deviation tunnels, the bottom outlets of dams, and wastewater treatment. Appropriate prediction of wall jet characteristics is h...

Forecasting vaccine demand and determining inventory policies are critical challenges in healthcare supply chains, where uncertainty poses significant operational risks. This study proposes a two-step data-driven framewo...

Abstract Synchronous reluctance motors (SynRMs) are increasingly critical in industrial and traction applications due to their high efficiency, magnet-free construction, and thermal robustness. However, fault diagnosis f...

Abstract Epidemiological cohorts often collect self-reported oral health (SROH) questionnaires but lack clinical periodontal measurements. We developed a selective, explainable machine learning (ML) pipeline that can ass...

Abstract Roadside areas are major sources of traffic-related air pollutant emissions. This study identified the spatial distribution of roadside pollutants using Unmanned Aerial Vehicle (UAV) measurements and predicted t...

Climate change and human impact are increasing the frequency and severity of flooding, making real-time, accurate simulation of mountainous flood inundation an urgent necessity. In this study, we developed a proxy model ...

The sustainable utilization of post-consumer waste glass in concrete has emerged as a promising approach to reduce cement consumption, mitigate landfill disposal, and enhance material performance. However, most previous ...

Landslide hotspots refer to spatial clusters of slope failures where event densities significantly exceed surrounding background levels, providing key insight into how climatic, environmental, and anthropogenic factors i...

Heart disease is rapidly increasing. For early and accurate prediction, advanced machine learning (ML) models are needed. However, the sensitive nature of clinical data, along with strict regulatory constraints, creates ...

Low birth weight (LBW), defined as birth weight below 2,500 grams, remains a significant public health concern in India, affecting approximately 17.29% of infants according to NFHS-5 data. This study aimed to develop and...

Introduction Conducting surveys on domestic violence across diverse countries, particularly in lower-middle-income nations like Nepal, poses significant challenges in understanding and addressing the multifaceted dynamic...

Abstract Alzheimer’s disease, a progressive neurodegenerative disorder, presents a growing global health challenge due to its increasing prevalence and lack of accessible early diagnostic methods. Even though it has en...

Fisheries are a strategic sector in Indonesia and are often linked to the country’s blue economy agenda. Shrimp remains a major export commodity, where performance is influenced by managerial and policy factors such as...

Abstract Background Tuberculosis (TB) remains a critical global public health issue, particularly in rapidly urbanizing regions where population density and migration facilitate transmission. While whole-genome sequencin...

Abstract While housing price prediction is well-studied, the prediction of large-scale housing conditions remains underexplored due to data limitations. This paper addresses this gap by developing a machine-learning mode...

Timely access to public healthcare is fundamental human rights and a key measure of social equity. In Thailand, transportation barriers especially in rural and underserved areas continue to restrict equitable access to m...

Prediction of building occupancy is a very important element of structural health monitoring (SHM), smart building systems, and energy management. In this study, a number of visualization tools are used to analyze the pe...

Abstract Remote sensing is increasingly employed today for the creation of wall-to-wall vegetation maps of protected areas. The main objective of this study was to evaluate whether it is feasible to develop a remote sens...

"Este proyecto optimiza la asignación de CEDEARs entre las bandas de bonificación del programa de market makers de BYMA a través de un modelo predictivo de volúmenes a operar. El objetivo central fue reducir la inefi...

Los siniestros viales generan daños en la salud de sus víctimas y en muchos casos los daños pueden resultar irreversibles, pero también generan grandes costos económicos por la ayuda médica necesaria, los objetos m...