Abstract: Accurate and efficient detection of defects in solar panels is essential for maintaining the stability and reliability of photovoltaic (PV) power generation systems. However, small defect ...

Abstract: We present a convolutional neural network-based intrusion detection method called the normalized intrusion convolution kernel, integrated with a Mach-Zehnder Interferometer Optical Fiber ...