Recommendation systems are crucial in helping users search for personalized information. However, the original ratings used by existing recommendation systems can't accurately represent users' true rating intentions, ignore sentiment attitudes, and l... read more
The Internet of Things (IoT) has rapidly expanded, introducing critical security vulnerabilities due to increasingly sophisticated malware that traditional detection methods struggle to identify. To enhance malware detection in IoT environments, we d... read more
Computer Numerical Control (CNC) inserts are critical components of CNC machine tools, where surface defects can severely compromise machining precision. Traditional manual inspection methods for these defects are inefficient and prone to significant... read more
This paper proposes a novel Large Language Model (LLM)-assisted hyper-heuristic evolutionary algorithm framework (LLMHHEA) to enhance the accuracy of groundwater level (GWL) prediction. Traditional models and artificial neural networks (ANNs) have li... read more
Loss-of-function mutations in the autism-associated CHD8 gene are highly penetrant for trait and behavioral abnormalities in children, but there is substantial clinical heterogeneity in the occurrence and extent of disruptions between individuals. Us... read more
Protein post-translational modifications (PTMs) orchestrate complex cellular processes, yet current computational methods predominantly tre at them as isolated sequence events. This reductionist approach-coupled with an inability to model 3D steric c... read more
To develop and validate a comprehensive balance assessment scale specifically designed for elderly women and construct predictive models for gait stability outcomes using machine learning approaches. A total of 276 community-dwelling elderly women ag... read more
Motorcycle-related traffic violations, including helmetless riding and multiple riders, present significant challenges for urban traffic management, especially under conditions of occlusion and high traffic density. This research introduces a hybrid,... read more
Existing wireless body area network (WBAN) communication schemes often depend on fixed event assumptions, which results in redundant transmissions, poor energy utilization, and limited scalability in continuous health monitoring systems. To overcome ... read more
BACKGROUND: With increasing penetration of robotic surgery, robotic cholecystectomies are becoming more popular. There are several benefits which may be possible with the use of robotic platforms for cholecystectomy. These are reduced pain, lesser bl... read more
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