IEEE

Photovoltaic Panel Fault Classification Using Deep Learning Models on Small Scale Dataset: A Comparative Study

Abstract: Photovoltaic (PV) power plants are crucial in addressing the rising global energy demand through sustainable solutions. However, their efficiency can be compromised by defects such as cracks ...
rheumatologyadvisor

Deep Learning Model Predicts Rising Global RA Burden Through 2040

A total of 17.9 million people were estimated to be living with rheumatoid arthritis globally in 2021, representing a 13.2% increase in incidence since 1990. The global burden of rheumatoid arthritis ...
pv magazine International

Machine learning-based fault detection technique for bifacial PV

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

The acquisition sites include: CALTECH, California Institute of Technology; CMU, Carnegie Mellon University; KKI, Kennedy Krieger Institute; LEUVEN, University of Leuven; MAX, Ludwig Maximilians ...
pv magazine International

New deep learning tech for PV inverter fault diagnosis

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...
IEEE

A Hybrid Fault Classification Model for Distribution Networks: Combining Deep Learning and Continuous Wavelet Transform

Abstract: As economic and social progress accelerates, the demand for power system stability has significantly increased, and the rapid identification of faults has garnered considerable attention. To ...