To solve the problems of the traditional convolution optimization algorithm (COA), which are its slow convergence speed and likelihood of falling into local optima, a Gaussian mutation convolution ...
OD in RSI is an essential yet complex endeavor, confronted with numerous obstacles in real-world applications. Over the past years, significant advancements have been witnessed in the study of RSI, ...
“Over the past decade, deep-learning-based representations have demonstrated remarkable performance in academia and industry. The learning capability of convolutional neural networks (CNNs) originates ...