624 papers
This paper presents a fully automated multi-robot system that utilizes up to six robots and a graphical user interface to significantly improve the efficiency and speed of illuminance measurements in construction sites compared to traditional manual methods.
This paper proposes an improved conditional Generative Adversarial Network (cGAN) that leverages high-fidelity CFD data to rapidly and accurately predict complex flow fields around unseen geometries, achieving a 79.14% accuracy improvement over baseline models while significantly reducing computational costs.
This paper proposes an intelligent chatter identification method for thin-walled parts finishing milling that combines second-order generalized synchrosqueezing transform for signal reconstruction with natural visibility graph-based multiscale dispersion entropy for feature extraction, achieving high recognition accuracy through a crayfish optimization algorithm-optimized support vector machine.
This study demonstrates that rotary ultrasonic vibration-assisted grinding (RUVAG) significantly improves the surface integrity and reduces material removal defects of Zr-based bulk metallic glasses compared to conventional grinding by introducing intermittent contact that mitigates stress concentration and lowers surface roughness by approximately 21%.
This study proposes and validates a novel wire-renewal EDM milling electrode that overcomes traditional electrode wear limitations to fabricate high-accuracy microlens array molds on tungsten carbide through optimized rotationally averaged annular discharge.
This study proposes and validates a gas-assisted acidizing technology that effectively removes deep plugging (≥3 m) in Bohai Oilfield polymer-flooded heavy-oil reservoirs by alternating nitrogen and acid injection to enhance penetration and permeability recovery, resulting in significant production increases in field tests.
This study proposes and validates a data-driven decision-support framework that integrates Six Sigma DMAIC with machine learning, time-series forecasting, FMEA, and SPC to enable predictive quality management and reduce defects in high-volume FMCG biscuit manufacturing.
This study proposes and validates a cost-effective, modular Substrate Integrated Waveguide (SIW) architecture featuring octagonal patch antenna arrays that achieve high gain (up to 15 dBi) and nearly 80% efficiency for 38 GHz millimeter-wave applications through scalable single-layer and stacked designs.
This paper proposes a high-precision measurement method for ruby balls that combines dark field imaging with an improved multi-scale adaptive Canny algorithm, achieving sub-micron accuracy and superior robustness against noise compared to traditional techniques.
This study demonstrates that incorporating SiO₂ nanoparticles into a furan-based polymeric fluid significantly enhances the unconfined compressive strength and thermal stability of chemical sand consolidation in unconsolidated petroleum wells while preserving reservoir permeability, offering a robust and cost-effective alternative to conventional mechanical sand-control methods.