20+ hour, 2+ min ago   (496+ words) Aspect-based sentiment analysis (ABSA) aims to identify the sentiment polarity expressed toward a specific aspect in a sentence. Existing sequential and Transformer-based methods can effectively capture contextual semantics, but they often lack explicit modeling of aspect–opinion relations. Graph-based approaches…...

2+ day, 14+ hour ago   (533+ words) This study proposes EQAS (Empowered Question-Answering System), a hybrid framework designed to support context-aware question-answering and intelligent feedback generation in domain-specific knowledge environments. EQAS integrates fine-tuned transformer-based models, instruction-guided large language models, domain-specific knowledge graphs, and LangChain-based vector retrieval to…...

2+ day, 14+ hour ago   (571+ words) Deep neural networks (DNNs) are widely deployed in safety-critical applications such as medical diagnosis and autonomous driving. Adversarial training (AT) is among the most effective defenses, casting robust optimization as a min–max problem over a defender-specified ℓp-ball of fixed…...

2+ day, 15+ 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…...

2+ day, 17+ hour ago   (411+ words) Time-series representation learning decomposes signals into interpretable factors such as trend and seasonality, and disentangled representation learning assigns these factors to distinct latent dimensions, enhancing interpretability and forecasting accuracy. However, existing methods achieve only statistical disentanglement: an intervention on one…...

2+ day, 21+ hour ago   (532+ words) Camera-only BEV 3D object detectors are trained under highly imbalanced category distributions, and their matched object queries can exhibit directional semantic errors toward frequent classes. We investigate this behavior as a diagnostic problem: given fixed geometric predictions and fixed query–ground-truth…...

3+ day, 15+ 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…...

3+ day, 23+ 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,…...

4+ day, 15+ hour ago   (650+ words) Anomaly detection in industrial automated visual inspection (AVI) is constrained by severe data sparsity and class imbalance, as defect samples are both scarce and morphologically heterogeneous in real production environments. Existing context-aware synthesis frameworks, such as CASDA, alleviate this limitation…...

4+ day, 17+ hour ago   (435+ words) Emergency-information analysts need to organize image-text reports into humanitarian categories before reports can be verified and prioritized. This study asks whether fine-grained evidence refinement can be added to an established classifier without replacing its decision path or greatly enlarging the…...