1712 papers
This study demonstrates through experimental testing and finite element analysis that precast beam-to-beam connections utilizing steel welded pipe connectors achieve flexural strength and failure modes comparable to monolithic beams while offering improved stiffness, validating their viability as a reliable alternative in construction.
This paper presents the design and architecture of Salmona, a rule-grounded, multi-domain audit system for Colombian medical billing that ensures traceability and human governance by decomposing verification into administrative, clinical, and financial layers while adhering to local regulatory frameworks.
This paper introduces SPHINX, an interface-aware data placement strategy that significantly enhances the accuracy and stability of Extended Physics-Informed Neural Networks (XPINNs) for reconstructing fluid flow fields by strategically allocating sparse measurement points to subdomain overlap regions, thereby reducing reconstruction errors by up to 95% across diverse flow regimes.
This paper reviews AI applications for multimodal data fusion in civil engineering and proposes a deep learning–physics coupling framework with embedded uncertainty quantification that significantly improves structural health monitoring accuracy and decision reliability compared to single-modality approaches.
This study proposes a hybrid life assessment method for fast mechanical switch insulating rods that integrates multi-physics finite element modeling, stress-life analysis, and firefly algorithm-optimized three-parameter Weibull distribution to overcome the limitations of pure simulation and testing, thereby enabling reliable reliability prediction under various operating conditions.
This study employs a hybrid Fuzzy DEMATEL-ISM-MICMAC methodology to analyze 20 risk factors across equipment, personnel, environment, and management dimensions, revealing that inadequate safety regulations are the core root cause of electrical fires in industrial buildings while short-circuit faults act as direct triggers, thereby providing a scientific basis for targeted prevention strategies.
This study demonstrates that while decentralized EV flexibility incentives can support decarbonized power systems, most common time-of-use rates fail to maximize benefits or may even cause harm, with only real-time pricing combined with discharging limits effectively lowering system costs through vehicle-to-grid integration.
This paper presents a hybrid framework that integrates defect-informed finite element analysis with active learning-driven Gaussian process surrogate modeling to accurately and efficiently predict the fatigue life of LPBF Hastelloy-X under various conditions, achieving high fidelity with over 95% reduction in experimental data requirements.
This paper introduces SlipOdometryNet, a compact 1-D convolutional neural network that achieves accurate, IMU-free slip-aware odometry for skid-steer robots by significantly reducing trajectory errors across varying friction conditions, outperforming both traditional kinematic baselines and much larger Transformer models in real-time deployment.
This paper introduces stretchable ceramic aerogel metamaterial electronics (SCAME), a monolithic platform that overcomes the traditional trade-off between thermal stability and mechanical flexibility to enable high-temperature sensing (>900 °C) and real-time thermal mapping on complex surfaces like turbojet nozzles.