1712 papers
This study introduces a novel physics-informed hybrid optimization framework that integrates Finite Difference heat transfer simulations, a CatBoost surrogate cost model, and a Genetic Algorithm to automatically discover a cost-optimal passive fire protection material configuration that meets R180 safety standards at a significantly lower cost than traditional commercial alternatives.
This study utilizes Rapid Visual Screening and GIS analysis to reveal that the densely populated Dhanmondi area of Dhaka faces severe seismic risks due to widespread structural vulnerabilities like soft storeys and insufficient evacuation infrastructure, underscoring the urgent need for strict enforcement of building codes and strategic urban planning to enhance disaster resilience.
This study evaluates wood and seagrass fiber-based materials for sounding rocket thermal protection systems, finding that while untreated solid woods are unsuitable due to degradation, engineered wood fiber composites like TPSea-C show significant promise as sustainable, high-performance alternatives for fin leading edges.
This paper proposes Certificate-Guided Residual Variance Control (CG-RVC), a residual actor-critic framework that mitigates nonnormal transient amplification in discrete-time nonlinear systems by projecting Lyapunov certificates into anisotropic covariance penalties, thereby significantly reducing state covariance, control variance, and constraint violations compared to standard reinforcement learning methods.
This paper presents "Tactical Tracker," an edge-assisted secure LoRa mesh positioning framework for tactical IoBT systems that integrates distributed GNSS/IMU fusion with lightweight cryptographic authentication to deliver resilient, real-time situational awareness in contested and bandwidth-constrained environments.
This paper presents a 180 nm CMOS rail-to-rail operational amplifier utilizing a current-balancing technique and a folded cascode architecture to achieve high DC gain (106.8 dB), low power consumption (116.74 µW), and minimal transconductance variation (±1.77%) across the entire input common-mode range.
This paper presents a comprehensive GIS-based framework that integrates UAV photogrammetry with Structure-from-Motion and Multi-View Stereo processing to generate high-resolution terrain models and conduct accurate spatial analyses, thereby enhancing decision-making through robust vertical accuracy evaluation.
This study utilizes PyroSim and Pathfinder simulations to analyze fire scenarios and evaluate evacuation strategies for a high-rise hospital ward in China, demonstrating that optimizing exit selection, occupant priority, and refuge areas based on fire source location significantly improves evacuation efficiency and safety.
This paper proposes a Security-Aware Bit-Map Assisted BAN Hybrid (SABMABAN-Hybrid) framework that integrates machine learning-based attack probability estimation with a two-layer IEEE 802.15.6/802.15.4 communication architecture to enhance security and energy efficiency in IoT-based wireless body area networks for health monitoring.
This study proposes a computationally efficient data-driven framework that couples artificial neural network surrogate models with multi-objective meta-heuristic algorithms to simultaneously optimize well placement and operating conditions for low-salinity water injection in carbonate reservoirs, achieving significant increases in net present value and oil recovery while reducing water production.