Methodology to Compare the Potential of Two Concepts for an Energy Ship Using Airborne Wind Energy

Unsupervised Learning for Public Transport Delay Pattern Analysis

Release of phosphorus through pretreatment of waste activated sludge differs essentially from that of carbon and nitrogen resources: Comparative analysis across four wastewater treatment facilities

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

Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

Effect of microporous layer structural parameters on heat and mass transfer in proton exchange membrane fuel cells

Proteins in hydrothermal carbonization liquor of sewage sludge interfere with vivianite crystallization for phosphorus recovery

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

Assessment of bolted connections for supporting structures of offshore wind turbine towers: Mechanical performance and structural health monitoring

Coordination and Optimization Control Framework for Vessels Platooning in Inland Waterborne Transportation System

What role an agent could play at home?: Exploring the social roles of smart home system based on a content analysis

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

Signal selection for local module identification in linear dynamic networks: A graphical approach

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

Synchronization of power systems under stochastic disturbances

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

Sensing and Machine Learning for Automotive Perception: A Review