IEEE

Design and Analysis of Memory Machine With Asymmetric Delta-Array Consequent Pole for Energy-Efficient Vehicular Applications

Abstract: This article presents the design and analysis of memory machine with asymmetric delta-array consequent pole for energy-efficient vehicular applications. In comparison with conventional ...
IEEE

Non-Ideal Switching-Based Design of Directional Time-Modulated Linear Antenna Arrays for Beam Steering in Arbitrary, Multiple and User-Defined Directions Using Cultural Algorithms

Abstract: This paper proposes a trapezoidal pulse-based ON-OFF switching approach for the optimum beamforming performance in a time-modulated linear antenna array (TMLAA). The Fourier series property ...
pv-magazine-australia

Machine-learning models identify hidden physical defects in solar arrays

Researchers from the United States’ Stony Brook University, in collaboration with software solutions provider Ecosuite and renewables developer Ecogy Energy, have developed a self-supervised ...
pv magazine International

US researchers use machine learning to detect hidden solar array defects

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...
pv-magazine-usa

Machine learning models identify hidden physical defects in solar arrays

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine learning algorithm designed to identify physical anomalies in solar ...