1663 papers
This study presents a high-accuracy athlete training fatigue assessment model that integrates dual-wrist inertial sensors with multimodal physiological signals (HR, HRV, and RPE) to achieve 97.0% motion recognition and 95.1% fatigue grading accuracy, effectively reflecting training load accumulation.
This computational study demonstrates that, under specific Peruvian seismic conditions and geometric constraints, a Steel Framing system is a technically viable lightweight alternative to confined masonry for single-family dwellings, as both systems satisfy the E.030 seismic safety standards despite the masonry exhibiting greater lateral rigidity and base shear.
This study demonstrates that response surface methodology-optimized electrocoagulation using sacrificial iron anodes effectively treats urban wastewater, achieving near-total turbidity removal and a 97.57% reduction in chemical oxygen demand under specific operating conditions of 0.775 A current, 375 cm² electrode area, 75 minutes duration, and 400 rpm agitation.
This paper synthesizes global evidence on mangrove-based coastal protection to develop a practical, six-stage, instrument-specific protocol for integrating fringing mangroves into residential coastal defense planning and construction within Peru's Tumbes region.
This study elucidates the hydro-mechanical failure mechanism of urban road collapse caused by coupled rainfall and pipeline leakage through physical testing and numerical simulation, revealing that leakage pressure is the dominant driver while rainfall lowers failure thresholds, and establishes an interpretable machine learning framework to accurately predict collapse risks and guide targeted infrastructure maintenance.
This study compares automated structured-light and handheld blue-laser 3D scanning methods for inspecting deformed metal additively manufactured automotive components, finding that while both effectively capture global deformation patterns, the automated system offers superior resolution for detailed local features.
This paper presents a fabrication-aware inverse design method for robust Y-junctions that achieves multiple asymmetric splitting ratios with low loss, broadband operation, and high tolerance to process variations, thereby enhancing the manufacturability and performance of integrated photonic circuits.
This study proposes a five-stage network-based framework that leverages existing heliport infrastructure to plan and validate safe eVTOL routes in the Jakarta Metropolitan Area, demonstrating how initial operational risks can be systematically mitigated to acceptable levels through airspace and procedural adjustments.
This study develops a data-driven framework using four supervised learning algorithms to predict ship design particulars and optimize engine power for CO₂ emission reduction, demonstrating that Gaussian Process Regression offers the most consistent performance while a displacement-based reformulation enhances the physical consistency of block coefficient estimation.
This study proposes a mechanics-informed semantic-geometry framework that enables the coordinated, multi-stage lightweight design of box-type thin-walled structures by preserving critical structural identities and analysis conditions across topology, shape, and opening modifications, ultimately achieving significant mass reduction while maintaining or improving mechanical performance.