1616 papers
The paper introduces the CROSS method, which utilizes state-conditioned cross-satellite residual transfer to significantly reduce TLE/SGP4 orbit prediction errors for targets with limited or no precise-orbit history by decomposing residuals into transferable state fields and target-specific remainders.
This paper proposes a monocular video-based framework that reconstructs temporally coherent fluid surfaces and fine-scale waves by combining Shape from Shading, shallow-water equation constraints, and a novel frequency-aware adaptive source transport mechanism to eliminate temporal discontinuities without requiring multi-view data, training sets, or physical simulations.
This study evaluates pressure drop characteristics in positive dilute-phase pneumatic conveying of teff grain across various 90° bend configurations, demonstrating that while bend orientation has no statistically significant effect on pressure loss, the CFD-DPM simulation approach offers more reliable predictions than a scale-up model for optimizing energy-efficient system designs.
This study presents a physics-informed hybrid framework that integrates Galle and Woods mechanics, Monte Carlo simulation, and dual-track AI (XGBoost and LLM) to optimize drilling performance in the Tawakul-1 well, achieving a 28.56% Rate of Penetration improvement while significantly mitigating cutter wear and Non-Productive Time through uncertainty-aware decision support.
This study demonstrates that an oxygen-assisted truncation process effectively flattens the cutting edges of coarse-grained electroplated CBN grinding wheels, enabling ultra-smooth nanometer-scale surface finishes on bearing steel while highlighting the need to balance truncation extent against grinding forces.
This paper demonstrates that generative probability-path models, particularly Flow Matching and Diffusion, significantly outperform traditional statistical and deterministic methods in downscaling precipitation over India by accurately preserving extreme rainfall variability and distributional tails through full conditional distribution sampling.
This paper proposes a State-Dependent Model Predictive Control (SDMPC) framework that exactly incorporates implicit vehicle dynamics and state-dependent drift equilibria into a single convex formulation, enabling robust path-tracking control for rear-wheel-drive vehicles both on friction-limited drifting manifolds and through complex maneuvers lacking equilibrium points.
This paper proposes a safety-protected formation-containment control framework for nonlinear multi-ship systems that integrates an Interval Type-2 Fuzzy Sliding Mode Controller with a smooth-switching Fuzzy-enhanced Artificial Potential Field algorithm to achieve robust disturbance attenuation, leader-follower coordination without inter-leader communication, and seamless collision avoidance.
This qualitative documentary study analyzes fatal haul-road accidents in Indian opencast mines to propose the Haul-Road Critical-Control Assurance Chain (HRCAC), a five-stage, statutory-anchored framework that shifts safety management from static compliance with geometric standards to continuous, route-level assurance against dynamic operational risks.
This study utilizes numerical simulation and response surface modeling to demonstrate that the synergistic application of nitrogen injection and negative-pressure extraction effectively controls gas distribution in high-gas thick coal seam goafs by expanding nitrogen's displacement range and optimizing extraction parameters, thereby significantly reducing gas accumulation and enhancing mining safety.