In Situ XPS Analysis of Tribo-chemical Behavior in Titanium Alloy Exposed to Fretting Wear Under the Vacuum Environments

HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators

Research on shutdown purge characteristics of proton exchange membrane fuel cells: Purge parameters conspicuity and residual water

A Self-Bias-Flip with Charge Recycle Interface Circuit with No External Energy Reservoir for Piezoelectric Energy Harvesting Array

A Self Bias-flip Piezoelectric Energy Harvester Array without External Energy Reservoirs achieving 488% Improvement with 4-Ratio Switched-PEH DC-DC Converter

Improved Wordpcfg for Passwords with Maximum Probability Segmentation

Guest Editorial Special Issue on Sensing and Machine Learning for Automotive Perception

Sensing and Machine Learning for Automotive Perception: A Review

Fusion of Gaze and Scene Information for Driving Behaviour Recognition: A Graph-Neural-Network- Based Framework

Application of YOLOv4 Algorithm for Foreign Object Detection on a Belt Conveyor in a Low-Illumination Environment

Random forest incorporating ab-initio calculations for corrosion rate prediction with small sample Al alloys data

Morphodynamic changes in the Yangtze Estuary under the impact of the Three Gorges Dam, estuarine engineering interventions and climate-induced sea level rise

An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios

Practical Threshold Multi-Factor Authentication

Sample Regenerating Particle Filter Combined With Unequal Weight Ensemble Kalman Filter for Nonlinear Systems

Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning

Revealing the Impact of Space-Charge Layers on the Li-Ion Transport in All-Solid-State Batteries

Research on Bearing Fault Diagnosis Method Based on Filter Features of MOMLMEDA and LSTM

Research of planetary gear fault diagnosis based on permutation entropy of CEEMDAN and ANFIS

Planetary gear fault diagnosis via feature image extraction based on multi central frequencies and vibration signal frequency spectrum