1646 papers
This study integrates experimental strain measurements, an adjusted Johnson-Cook analytical model, and QForm finite element simulations to characterize plastic deformation and predict the fatigue lifetime of AISI H13 cold forging tools, demonstrating that the analytical approach effectively forecasts failure close to the experimental fracture point.
This paper proposes a novel CNN-based framework that simultaneously separates overlapping projections and corrects for multiple physical degradation factors in multi-pinhole SPECT imaging without requiring CT-derived attenuation maps, thereby achieving superior image quality compared to conventional reconstruction methods.
This preregistered study demonstrates that no single fixed-point format is universally optimal for quantum LDPC Min-Sum decoding across various codes and error rates, establishing that reproducible finite-precision reports must explicitly specify word width, normalisation recipes, and clip levels.
This paper presents and experimentally validates a dual-state 3D printing strategy for short fiber-reinforced composites that strategically combines aligned and random fiber orientations to achieve up to 20% higher failure loads and 17% greater energy absorption compared to conventional single-state and infill methods.
This study demonstrates that incorporating Preparatory Approaches for Social Orientation (PASO), particularly reflective priming, into high-social-presence Virtual Reality training effectively mitigates destructive bystander intentions and shapes safety-relevant social awareness regarding workplace bullying on construction sites.
This paper proposes an adaptive surface sampling algorithm for industrial CT data that utilizes a multi-scale voxel pyramid, a decoupled force mechanism with adaptive weighted projections, and a Voronoi-based incremental insertion strategy to achieve high-precision, noise-robust surface extraction with improved particle distribution uniformity and efficiency.
This paper proposes the Intelligent Energy Efficient UAV Enabled Computation Offloading (IEUV-IIoT) framework to address device lifetime limitations in Industrial IoT by integrating UAV localization, competition, and offloading modules, which MATLAB simulations demonstrate outperform existing baseline approaches in efficiency, longevity, and overall network performance.
This paper introduces TimoDS, a comprehensive synthetic dataset of 60,000 Timoshenko steel beam instances with general elastic supports and elementary load cases, which serves as a validated benchmark for training machine learning surrogates in structural mechanics.
This paper proposes a novel full-duplex SWPIT strategy utilizing LC wave trappers and partial power coils to physically isolate power and information paths, thereby achieving high-efficiency power transfer alongside simultaneous high-speed bidirectional communication with minimal interference.
This study optimizes the laser cleaning process for anodic oxide films on 2024 aluminum alloy by comparing response surface and BP neural network models and employing an improved multi-objective firefly algorithm to identify parameters that simultaneously enhance surface quality and cleaning efficiency.