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Incorporating polarization in computer vision tasks provides new solutions to high-level analytics, in particular when coupled with machine learning frameworks such as convolutional neural networks (CNN). A recent review...

The rapid proliferation of digital devices has generated vast amounts of data, presenting significant challenges in collection, processing, and analysis that traditional systems struggle to overcome. This study investiga...

This study aimed to explore the factors influencing health science students’ perceptions of healthcare analytics as a potential career. A qualitative study was conducted among final year health science students enrolle...

IntroductionThis study examines the impact of Customer Big Data Analytics (CBDA) on customer satisfaction and firm performance in business-to-business (B2B) firms operating in emerging markets, specifically Pakistan. Des...

Organizations have become highly reliant on a range of data sources that span structured, semi-structured, and unstructured data types. These repositories allow large-scale storage for faster ingestion and analytics but ...

The global aviation industry plays a critical role in economic development and international connectivity. However, it also contributes significantly to environmental challenges, particularly through fuel consumption and...

This paper provides a data-driven approach to apply lessons learned from Project Risk Management in the aviation industry. This is accomplished by performing a qualitative analysis to inform a second-pass quantitative an...

To solve the problem of lack of market insight and insufficient innovation creativity in entrepreneurship of college students, this paper aims to explore the application of data mining and predictive analysis technology ...

The purpose of the study was to build the predictive model of the presence of U.S. low-cost carriers (LCCs) in the domestic network structure. SEMMA (Sample, Explore, Modify, Model, and Assess) schematic in data mining w...

Abstract This study provides a bibliometric overview of the first decade of the Journal of Big Data (JBD) since its launch in 2014. Using bibliographic records for 1,023 articles and reviews indexed in Scopus (2014–202...

ObjectivesThis research aims to engineer a specialized, high-speed database architecture tailored for intelligent video surveillance in critical healthcare environments. The primary objective is to overcome the input/out...

Floods are one of the most frequent and damaging natural hazards in Malaysia, especially in low-lying places, such as Batu Pahat and Johor. National flood monitoring systems, such as InfoBanjir and Malaysian Meteorologic...

This work presents a hybrid deep learning approach for identifying students who are likely to experience academic difficulties in virtual learning environments. The proposed framework is evaluated on the Open University ...

Objective This study evaluated real-world engagement with the online Military to Civilian Adjustment and Reintegration Measure (M-CARM) platform, described user characteristics and usage patterns, and examined score dist...

This article presents operational data from turboexpander units (TEU) wherein a stable temperature gradient across both the turboexpander and the turbocompressor coexists with its power imbalance. A hypothesis attributin...

Digital research artifacts (articles, datasets, software, etc.) are the basis for scientific research. Due to the continuous growth and complexity (e.g., due to formats) of such artifacts, ensuring their organization and...

Abstract The increasing availability of positional data in invasion sports like football drives the development of advanced performance metrics. Two widely adopted examples are space control, which quantifies spatial inf...

Urban analytics has emerged as a transformative tool for addressing the challenges of urbanization and fostering sustainable smart cities. Despite its growing significance, a gap remains in the literature on integrating ...

Abstract Credit risk assessment is a critical function in financial analytics, requiring models that can adapt to diverse borrower profiles while providing clear and interpretable insights. Although a range of data drive...

Traditional bibliometric indicators such as the h-index emphasize cumulative citation impact but provide limited insight into the efficiency and concentration of that impact across a researcher's publication portfolio. T...

The field of artificial intelligence (AI), machine learning and intelligent automation has become pervasive in our modern digital world. It extends from business and public services to environmental management and even i...

Artificial intelligence (AI), and generative AI in particular, is accelerating innovation in education by expanding access to tutoring, content creation, learning analytics, and teacher support. At the same time, policy ...

Abstract Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems have significantly advanced data modelling capabilities and improved opportunities for extracting knowledge from vast and heterogeneo...

This study provides a quantitative framework for wellbeing outcome prediction through intentional cognitive pattern alteration. We demonstrated 81.67% accurate prediction of wellbeing states, in a three-level classificat...