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Abstract Collaborative filtering and neural recommendation models have advanced substantially over the past decade, yet they frequently struggle to capture the fine-grained structure of user preferences and the rich, mul...

User populations in modern recommendation systems consist of diverse communities with distinct and often non-overlapping preferences. However, most existing models, such as traditional Variational Autoencoders (VAEs), op...

Structural health monitoring (SHM) has become a central tool for managing civil infrastructure. In modern SHM, the physical structure and the SHM system together form a coupled cyber-physical system. Due to the networked...

Adaptive learning systems require effective mechanisms to model students’ evolving learning states and provide personalized learning path recommendations. Traditional rule-based approaches are limited in capturing...

Background: Applications and admission processes across the globe have been unified using central application systems (CAS). However, the primary CAS in South Africa (SA), including the Central Applications Office and t...

Abstract Introduction Respiratory syncytial virus (RSV) poses a significant health risk to older adults, particularly those with chronic comorbidities, in the Gulf Cooperation Council (GCC) countries. Despite its high bu...

Abstract Microplastics (MPs) have emerged as pervasive contaminants in surface and ground water systems worldwide, making it an increasing threat to ecosystem integrity and human health. Despite a rapid increase in resea...

Background: Smallholder farmers in sub-Saharan Africa are at the forefront of climate change impacts, facing significant challenges to their livelihoods because of increasing temperatures, erratic rainfall and extreme w...

With the rapid growth of electronic health records, medical imaging, and high-throughput omics data, precision oncology faces increasing demands for cross-modal information integration and complex clinical decision suppo...

In the context of industrial digitalization, states are gaining new opportunities to manage industry through the use of digital tools of protectionism. State industrial information systems function as a political technol...

Abstract Problem Despite flagship programs like Janani Suraksha Yojana (JSY) and Pradhan Mantri Matru Vandana Yojana (PMMVY), India faces persistent maternal health inequities driven by fragmented legal frameworks, workf...

Abstract Pertussis (whooping cough), a vaccine-preventable disease that affects people of any age, has resurged globally after the COVID-19 pandemic. Key reasons for recent pertussis outbreaks include suboptimal pertussi...

Telemedicine is increasingly playing a vital role in European health systems, offering great potential for improving healthcare access and outcomes. Funded between September 2022 and December 2024, the Joint Action ‘St...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...

Urban air pollution from traffic emissions poses a significant risk to students residing in student communal housing (SCH) near major roadways. This study investigates the impact of peak hour traffic on ambient air quali...

The November 2023/2024 national health budget cuts represent the largest reduction in public health expenditure in South Africa’s post-apartheid history. This article critically examines the implications of these budge...

Abstract Purpose To design a coach-interpretable movement quality score for badminton footwork training using an adaptive neuro-fuzzy inference system. Methodology We derived compact biomechanical descriptors of timing, ...

Abstract In competitive sports and other role-based team activities, selecting a squad with strong mutual compatibility is critical for coordinated execution and overall performance. This paper proposes a compatibility-a...

Abstract Heterogeneous graphs are widely employed in applications such as social networks, recommendation systems, and bioinformatics. However, node attributes in real-world heterogeneous graphs are often missing or corr...

Abstract This article explores how collective attention can be both disrupted and enhanced by artificial intelligence. It examines how the rise of algorithmic recommendation systems, generative media, and large-scale lan...

Abstract Against the backdrop of urgent demand for efficient scheduling and precise services in university innovation and entrepreneurship ecosystems, this study proposes an optimization path for ecosystem construction i...

This research examines how Artificial Intelligence (AI) is used in adapting customer engagement in e-commerce in Malaysia. Many companies are turning to chatbots, recommendation systems, and personalized analytics in AI ...

Artificial Intelligence (AI) refers to systems designed to perform tasks requiring human-like intelligence, such as learning, reasoning, decision-making, and language processing. Its integration into Human Resource Man...