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Failures of Photovoltaic modules and their Detection: A Review
Photovoltaic (PV) has emerged as a promising and phenomenal renewable energy
technology in the recent past and the PV market has developed at an exponential rate …
technology in the recent past and the PV market has developed at an exponential rate …
[HTML][HTML] A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations
The development of Photovoltaic (PV) technology has paved the path to the exponential
growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells …
growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells …
Identification and prediction of chronic diseases using machine learning approach
Nowadays, humans face various diseases due to the current environmental condition and
their living habits. The identification and prediction of such diseases at their earlier stages …
their living habits. The identification and prediction of such diseases at their earlier stages …
[HTML][HTML] Deep Learning approaches for visual faults diagnosis of photovoltaic systems: State-of-the-art review
PV systems are prone to external environmental conditions that affect PV system operations.
Visual inspection of the impacts of faults on PV system is considered a better practice rather …
Visual inspection of the impacts of faults on PV system is considered a better practice rather …
Deep learning-based fault diagnosis of photovoltaic systems: A comprehensive review and enhancement prospects
Photovoltaic (PV) systems are subject to failures during their operation due to the aging
effects and external/environmental conditions. These faults may affect the different system …
effects and external/environmental conditions. These faults may affect the different system …
Fog computing service in the healthcare monitoring system for managing the real‐time notification
A new computing paradigm that has been growing in computing systems is fog computing.
In the healthcare industry, Internet of Things (IoT) driven fog computing is being developed …
In the healthcare industry, Internet of Things (IoT) driven fog computing is being developed …
Comparative investigation of imaging techniques, pre-processing and visual fault diagnosis using artificial intelligence models for solar photovoltaic system–A …
Photovoltaic systems provide an eco-friendly key to meet our increasing energy demand
while mitigating the adverse impacts of conventional fossil fuel-based energy generation …
while mitigating the adverse impacts of conventional fossil fuel-based energy generation …
[HTML][HTML] Machine learning for advanced characterisation of silicon photovoltaics: A comprehensive review of techniques and applications
Accurate and efficient characterisation techniques are essential to ensure the optimal
performance and reliability of photovoltaic devices, especially given the large number of …
performance and reliability of photovoltaic devices, especially given the large number of …
[HTML][HTML] Application of artificial intelligence in the materials science, with a special focus on fuel cells and electrolyzers
Artificial Intelligence (AI) has revolutionized technological development globally, delivering
relatively more accurate and reliable solutions to critical challenges across various research …
relatively more accurate and reliable solutions to critical challenges across various research …
[HTML][HTML] SPF-Net: Solar panel fault detection using U-Net based deep learning image classification
The detection of faults in solar panels is essential for generating increased amounts of
renewable green energy. Solar panels degrade over time due to physical damage, dust, or …
renewable green energy. Solar panels degrade over time due to physical damage, dust, or …