598 papers
RAQA-GFS is a lightweight, cross-platform desktop application that democratizes access to Global Forecast System (GFS) data by providing an intuitive bilingual interface for automated data retrieval, visualization, and AI-assisted reporting without requiring programming expertise.
This paper proposes a multi-modal robust fusion navigation framework for RLG-INS/GNSS systems that integrates fuzzy-based mode switching, attention-enhanced LSTM prediction for signal outages, and an adaptive maximum correntropy unscented Kalman filter with dual-layer fault detection to ensure high accuracy and reliability in complex, noisy environments.
This paper presents a novel silicon-based meta-surface antenna featuring asymmetric split-ring resonators that, through a 2° tilt, effectively combine electric, magnetic, and toroidal modes to achieve precise control over radiation performance in the 0.375–0.575 THz range.
This study investigates the wax deposition mechanism of the Bozi ultra-deep gas condensate reservoir in the Tarim Basin through high-temperature and high-pressure experiments and modeling, revealing that wax deposition decreases with higher flow rates and gas-oil ratios and is effectively prevented when daily production exceeds 3.4×10⁵ m³.
This paper proposes a Deep Reinforcement Learning-based framework (DRL-QCOF) that integrates a Bi-LSTM fidelity predictor with an Actor–Critic scheduling agent to jointly optimize routing and scheduling in distributed NISQ quantum networks, significantly outperforming existing methods in link fidelity, latency, and resource utilization under dynamic conditions.
This paper proposes a Monte Carlo-based Pareto optimization framework to replace deterministic manufacturer settings with a statistically robust, three-dimensional commissioning window for the Siemens 7UT5121 differential relay, significantly enhancing sensitivity to incipient faults and inrush blocking while maintaining 100% security against through-faults for a 60 MVA distribution transformer.
This paper presents a physically oriented, HDL-implemented compact model for silicon phase shifters in 250 nm EPIC BiCMOS technology that enables accurate SPICE-compatible electro-optic co-simulation by linking device geometries and non-uniform doping profiles to electro-optical characteristics, as validated by measurements up to 80 Gb/s.
This paper introduces Hierarchical Tactile Processing (HTP), a physics-grounded framework that decodes raw tactile signals into a compact, high-level state representation in real time, enabling robots to achieve robust, zero-shot generalizable contact-rich manipulation without object-specific pretraining.
This study utilizes 50g centrifuge shaking table tests to demonstrate that near-field pulse-like ground motions induce significantly more severe nonlinear pile–soil interactions, including intense interface shear, irreversible settlement, and uneven axial force distribution, compared to non-pulse-like ground motions in dry sand.
This paper presents a site-specific machine learning framework that forecasts indoor laboratory relative humidity up to seven days in advance by leveraging local weather data and calendar-based occupancy patterns, thereby enabling researchers to better plan humidity-sensitive electrospinning experiments and improve reproducibility.