5+ hour, 18+ 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…...

1+ day, 8+ hour 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…...

3+ day, 2+ 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…...

3+ day, 2+ 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…...

3+ day, 5+ 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…...

3+ day, 10+ 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…...

4+ day, 11+ 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,…...

6+ day, 6+ hour ago   (383+ words) Resource-constrained traffic classification requires mapping heterogeneous numerical features into a fixed-length binary input. Equal-width encoding ignores differences in discriminability, whereas range-only allocation may spend precision on weak predictors. We propose discriminability-aware symmetric bit-wise feature encoding (DA-SBFE), which combines training-fold mutual…...

1+ week, 9+ hour ago   (598+ words) This study examines how the vertical spacing of a multi-height 360° camera array affects novel-view synthesis quality in indoor scenes reconstructed with 3D Gaussian splatting (3DGS). Although 3DGS enables high-quality real-time scene representation, its output depends on the geometric arrangement of the input views,…...

1+ week, 1+ day ago   (516+ words) Evaluating the adversarial robustness of deployed deep neural networks is critical for trustworthy AI, yet existing black-box assessment tools assume homogeneous input domains shared between surrogates and targets, an assumption rarely met in practice. Cross-domain transfer attacks are inherently ill-posed…...