1+ hour, 46+ min ago   (493+ words) Large language models (LLMs) are expanding the capabilities of socially assistive robots (SARs) through natural dialogue, personalisation, multimodal reasoning, retained interaction context, and adaptive behaviour in healthcare. Integrating generative language models into robots, however, complicates evaluation because fluent output may…...

2+ hour, 6+ min ago   (399+ words) Long-context modeling is important for long-horizon generation tasks, yet larger context windows do not necessarily ensure stable organizational continuity. We propose Dimension-Constrained Organizational Relay (DCOR), a workflow-level framework that reformulates long-horizon generation as the ordered propagation of finite organizational states…...

3+ hour, 17+ min ago   (455+ words) This paper investigates the problem of model-order reduction for linear systems arising from minimum-phase circuits and filters, where stability and frequency characteristics must be preserved. The MPPBT framework uses a Riccati–Lyapunov Gramian pair and constructs a balancing transformation with…...

3+ hour, 17+ min ago   (503+ words) Multi-trace amplitude variation with angle inversion (MAVAI) is a vital tool for estimating the physical parameters of subsurface media, and it plays an important role in oil and gas exploration. However, the existing MAVAI method relies on the Kronecker product…...

3+ hour, 17+ min ago   (401+ words) Cast irons are extensively used in high-temperature applications such as cylinder heads of heavy-duty diesel engines, where sustained exposure to high stresses and temperatures can initiate creep-related failure mechanisms, impacting their long-term durability and efficiency. Our previous experimental research demonstrated…...

3+ hour, 42+ min ago   (500+ words) Interior style generation requires expressive visual transformation while preserving spatial layout, object boundaries, and semantic relationships. Existing generative and style-transfer methods have improved indoor scene synthesis, but they often suffer from boundary drift, furniture deformation, texture leakage, and unstable style…...

3+ hour, 49+ min ago   (448+ words) High-dimensional omic datasets present major challenges for machine learning due to their sparse biological signal, strong feature heterogeneity, and high dimensionality. In this work, we propose PLAT (Parallel Latent Attention Transformer), a neural architecture for high-dimensional tabular transcriptomic data. The…...

3+ hour, 49+ min ago   (484+ words) In recent years, Deep Reinforcement Learning (DRL) has emerged as a promising approach for automating penetration testing due to its capability to perform sequential decision-making in complex environments. However, in real-world enterprise networks, attack actions are typically characterized by highly…...

3+ hour, 49+ min ago   (388+ words) Accurate detection of forced oscillations is important for the stable operation of power systems. The method based on prior knowledge relies on manual feature extraction, which has limited ability to characterize non-stationary signals. While deep learning (DL) methods can automatically learn…...

4+ hour, 30+ min ago   (515+ words) Digital infrastructures are increasingly exposed to diverse and evolving cyber threats, highlighting the need for robust intrusion detection systems (IDSs). Although machine learning (ML)-based IDSs have achieved strong performance, most existing frameworks are still developed and evaluated mainly under intra-dataset…...