17+ hour, 11+ 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…...

19+ hour, 35+ min ago   (507+ words) Modern corporate networks operate in increasingly complex and heterogeneous environments, which complicates the objective assessment of their current security state. This study proposes a dual-channel multi-level model for quantitative assessment of data security in corporate networks using a predefined list…...

21+ hour, 8+ min ago   (538+ words) This study investigates how sentiment polarity relates to offensive function in Chinese online attacks, focusing on cases where offence is expressed implicitly rather than through explicit negative wording. Using a 1400-item Chinese online-text corpus derived from TOXICN and its pragmatics-oriented…...

1+ day, 20+ hour ago   (394+ words) With the rapid development of wireless communication technologies, mobile devices, and distributed systems, the scale and dynamics of Mobile Ad Hoc Networks (MANETs) are increasing, which results in increasingly stringent requirements for routing protocols. The Zone Routing Protocol (ZRP), as…...

1+ day, 20+ 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, 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…...

3+ 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…...

3+ day, 14+ hour ago   (396+ words) In the field of public service data integration, government agencies are responsible for consolidating data from various industries and establishing big data platforms. Some achievements have been made in this direction, but there are still some issues related to privacy…...

3+ 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…...

3+ day, 18+ hour ago   (410+ words) Image steganography is widely used to hide information by embedding secret data within digital images while preserving their visual quality. Among various techniques, Quantization Index Modulation (QIM) provides reliable data extraction; however, conventional fixed QIM methods often introduce unnecessary distortion,…...