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Introduction: Motorized components on power wheelchairs (PWC) enable repositioning to pre-programmed positions (e.g., tilt, leg support, verticalization) to prevent prolonged static positions. Smart technologies can track positioning information and...

This paper presents a digital twin-based lifecycle framework aimed at improving the safety and security of instrumentation and control (I&C) systems for nuclear power plants and small modular reactors. The approach formalizes DT components, funct...

The increasing complexity of integrating modern convolutional neural networks into software systems imposes significant computational demands on machine learning infrastructures. Existing MLOps systems lack mechanisms for dynamic model selection base...

Fault-tolerant control in safety-critical industrial systems demands adaptive responses to equipment degradation, parameter drift, and sensor failures while maintaining strict operational constraints. Traditional model-based controllers struggle unde...

Arsenic contamination demands innovative, sustainable remediation. This study presents a fuzzy approach for synthesizing a magnetic biochar nanocomposite from pecan shell agricultural waste for efficient arsenic removal. Using a Multi-Input Fuzzy Rul...

Digital twins (DTs) have seen widespread application across industries, enabling deep integration of cyber–physical systems. However, previous research has largely focused on domain-specific DTs and lacks a universal, cross-industry modeling fr...

Thermal contact resistance (TCR) plays a pivotal role in heat transfer across diverse engineering applications. The present work systematically investigates TCR for two representative contact configurations, namely flat and hinge-type curved surfaces...

Various recurring medical events encourage innovative patient well-being through connected health strategies based on an elegant digital environment that prioritizes safety, comfort, and beneficial outcomes for both patients and medical staff. This n...

Oral cancer (OC) remains a major global health concern with survival often limited by late diagnosis. Early and accurate detection is essential to improve patient outcomes and guide treatment decisions. In this study we propose a computer aided diagn...

Growing cooling demand and environmental concerns motivate research into alternative technologies capable of converting low-grade heat into useful cooling. This study proposes a regression-assisted multi-objective optimisation framework using the Ant...