Finding Contents or People

Energy harvesting from longitudinal and transverse motions of sea waves particles using a new waterproof piezoelectric waves energy harvester
Energy harvesting from longitudinal and transverse motions of sea waves particles using a new waterproof piezoelectric waves energy harvester
Energy harvesting from longitudinal and transverse motions of sea waves particles using a new waterproof piezoelectric waves energy harvester
Nodes with the highest control power play an important role at the final level of cooperation in directed networks
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
Comparison of Infinite Fracture Model (IFM) and Discrete Fracture Network (DFN) for Estimating the Volume of In-Situ Blocks in Dimension Stone Mines with a Focus on UAV Photogrammetry
A deep learning model for fault detection in distribution networks with high penetration of electric vehicle chargers
Enhancing Information Freshness and Energy Efficiency in D2D Networks Through DRL-Based Scheduling and Resource Management
Enhancing Information Freshness and Energy Efficiency in D2D Networks Through DRL-Based Scheduling and Resource Management
Lightweight flexible self-powered photo-supercapacitors with good stability through photoelectrochemical deposition of tellurium on PPy-V<sub>2</sub>O<sub>5</sub> films as a new visible light active dual photoelectrode
Analyzing Factors Affecting the Recycling and Reuse of Bread Waste Using Content Analysis, Descriptive Statistics, and Structural Equations
Comparison of enhanced neural network and response surface models in predicting bio-dissolution of aluminum and vanadium from bauxite residue by isolated Aspergillus niger strains
Comparison of enhanced neural network and response surface models in predicting bio-dissolution of aluminum and vanadium from bauxite residue by isolated Aspergillus niger strains