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Applied Sciences, Vol. 16, Pages 9098: Pairwise Classification as a Unified Framework for Offline Reinforcement Learning and Large-Language-Model Alignment
6+ hour, 19+ min ago (496+ words) Offline reinforcement learning (offline RL) and large-language-model (LLM) alignment are typically studied as independent domains and each has developed its own pairwise comparison technique. Prior studies have validated pairwise classification exclusively within offline RL, leaving open the question of whether it…...
Applied Sciences, Vol. 16, Pages 9094: 3D Geological Modeling Using Geostatistical, Deterministic, and Artificial Intelligence Algorithms: A Comparative Analysis for Delineating Mineralized Zones
20+ hour, 15+ min ago (347+ words) The delineation of mineralized zones within deposits is inherently associated with geological uncertainty, directly impacting resource-reserve estimation and eventual extraction. This study presents a comparative analysis of three geological modeling techniques, including Indicator Kriging (IK), Nearest Neighbor (NN), and Multilayer…...
Applied Sciences, Vol. 16, Pages 9093: Security and Safety of Large Language Models—A Use Case for Extended Reality Environments
21+ hour, 38+ 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…...
Applied Sciences, Vol. 16, Pages 9090: Dual-Channel Multi-Level Model for Quantitative Assessment of Data Security in Corporate Networks
1+ day, 2+ 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…...
Applied Sciences, Vol. 16, Pages 9088: Bounded Spatial Residual Adaptation for Multi-Station GNSS Displacement-Residual Forecasting
1+ day, 35+ min ago (596+ words) Multi-station global navigation satellite system (GNSS) displacement-residual forecasting may benefit from neighbouring stations, yet unrestricted spatial aggregation can obscure station-local temporal dynamics and the independent value of spatial information. Whether neighbouring stations provide additional predictive information after a strong station-local…...
Applied Sciences, Vol. 16, Pages 9083: PV-STAM: Velocity-Aware Attention for Mapless Deep Reinforcement Learning Navigation in Dynamic Environments
1+ day, 1+ hour ago (678+ words) Mapless deep reinforcement learning (DRL) navigation in dynamic indoor environments is difficult under single-frame 2D LiDAR, which reports where an obstacle is but not whether it is approaching. We introduce the Positional-Velocity Spatio-Temporal Attention Module (PV-STAM), a compact perception block (19,968 trainable…...
Applied Sciences, Vol. 16, Pages 9082: When Implicit Offence Is Not Necessarily Negative: Pragmatic Strategies and Sentiment Polarity in Chinese Online Attacks
1+ day, 1+ hour 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…...
Applied Sciences, Vol. 16, Pages 9076: Explainable Cattle Identification via ArcFace Embeddings and Vision–Language Explanations
1+ day, 19+ hour ago (567+ words) Individual cattle identification underpins traceability, genetic management and disease surveillance in precision livestock farming. Ear tags and RFID remain the dominant practice but are subject to loss, tampering and welfare concerns, which motivates contactless biometric alternatives. Most deep learning systems…...
Applied Sciences, Vol. 16, Pages 9075: An Investigative Study of Widely Used Ergonomic Risk Assessment Methods Based on Machine Learning and MCDM Approaches
1+ day, 20+ 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…...
Applied Sciences, Vol. 16, Pages 9066: IVYA-ZRP: An Enhanced Zone Routing Protocol with Zone Radius Optimization for Mobile Ad Hoc Networks
2+ day, 50+ min 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…...