Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China 2 Higher Educational Key Laboratory for Industrial Intelligence and Systems of Yunnan ...

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...

Abstract: Imaging sonar, as an efficient sensor for underwater observation and measurement, plays a very important role in the positioning and mapping of autonomous underwater vehicles (AUVs).

An ANN is trained using PyTorch to classify Fashion MNIST images. The process includes loading image data from a CSV, preprocessing it, building the model, training with labeled data, and evaluating ...

Abstract: This research focuses on the multi-frame quality compensation coding method based on H.266/VVC. By leveraging technologies such as optical flow algorithms and convolutional neural networks, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Multiscale and multimodal image fusion is a challenge derived from the diversity of ...

This repository provides an efficient binary video classification pipeline using PyTorch, optimized for local GPU-enabled PCs. It includes preprocessing and model inference tools for classifying ...