5+ hour, 50+ min ago   (361+ words) This research investigates the security of large language models (LLMs) with the aim of identifying key security and safety threats, control measures, and governance considerations that are relevant to their trustworthy adoption in the Extended Reality (XR) domain. To achieve…...

3+ week, 3+ day ago   (394+ words) Instrument control remains a practical bottleneck in laboratory automation and self-driving laboratories. Although large language models (LLMs) have shown strong potential in document understanding, code generation, and scientific workflow automation, most existing systems assume that ready-to-use instrument interfaces are already…...

1+ week, 5+ day ago   (490+ words) Digitally captured handwriting preserves pen trajectories and dynamic signals, but it also records hardware- and input-dependent properties that can confound forensic interpretation. This study revises a support vector machine (SVM) screening framework using 16,500 samples from 30 writers, 11 writing-content categories, and five…...

6+ day, 6+ hour ago   (587+ words) Large language models and AI agents are extending data-engineering automation beyond isolated artifact generation toward end-to-end processes in which agents interpret requirements, select data, generate transformations, invoke tools, validate results, and communicate analytical outputs. This shift introduces risks that conventional…...

1+ day, 4+ hour ago   (512+ words) REBA, RULA, and OWAS are widely used observational ergonomic risk assessment methods based on predefined ordinal scoring rules. The final risk scores generated by these methods play a critical role in determining and prioritizing ergonomic interventions under limited resources to…...

4+ day, 12+ hour ago   (688+ words) Oral presentations for investor relations, government funding, and technical review are typically prepared without objective, repeatable feedback on delivery. We present an integrated web-based pre-screening system for Korean oral presentations that combines automatic speech recognition (ASR), prosodic and disfluency analytics,…...

1+ week, 3+ day ago   (471+ words) Code authorship attribution is an important research area for uncovering the source, affiliation, and purpose of software and malware. It encompasses a wide range of techniques for identifying code authorship based on the analysis of authors’ coding styles. These approaches…...

4+ week, 1+ day ago   (582+ words) Deep neural networks have achieved substantial success in image, text, and signal analysis, but their advantage is less consistent for heterogeneous tabular data, where tree-based ensemble methods often remain strong baselines. This study proposes CANON (Cross-Attention Neuro-symbolic Ontology Network), a…...

3+ day, 4+ hour ago   (688+ words) Digital twins (DTs) based on agent-based artificial intelligence (Agentic AI) provide a transformative framework for streamlining nondestructive testing (NDT) of 3D-printed rehabilitation equipment. This study applies a conceptual research methodology based on the integration and analysis of recent advances in…...

4+ day, 4+ hour ago   (584+ words) Predicting queue waiting time for batch job schedulers in high-performance computing (HPC) systems is a critical research topic aimed at maximizing resource utilization efficiency and enhancing user experience. However, existing prediction approaches heavily rely on static job characteristics provided by…...