AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Cochlea network model reveals how inner ear may sort sound from noise

Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
Nature

Convolutional neural network models describe the encoding subspace of local circuits in auditory cortex

Convolutional neural networks (CNNs) provide powerful models of neural sensory encoding, but their complexity makes it difficult to discern computations that support their performance. Here, to ...
LinkedIn

AI Deep Learning. Visualization and Graphic Design of Neural Network Architectures: Methodologies, Best Practices.

Abstract: The complexity of deep learning algorithms is often opaque, but their visual representation plays a crucial role in communication, education, and the design process of the models themselves.
GitHub

Remote Sensing Image Acquisition, Analysis, and Applications – Learning Notes

This repository documents my complete learning journey through the Coursera course Remote Sensing Image Acquisition, Analysis, and Applications. It is part of my broader PhD preparation plan in ...
Nature

Convolutional neural network based on transfer learning for discriminating the fermentation degree of black tea

Black tea is among the most widely consumed tea. The fermentation process is crucial for developing the flavor of black tea. Currently, many producers rely on personal experience to gauge fermentation ...
Frontiers

Quantized convolutional neural networks: a hardware perspective

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...
GitHub

ElvianElvy/Graph-Convolutional-LSTM-Spatial-Temporal-GNN-

A comprehensive PyTorch-based system for predicting cryptocurrency prices using a state-of-the-art Spatial-Temporal Graph Neural Network (ST-GNN) model. This advanced implementation integrates ...
IEEE

Spatial Characteristics Analysis and Visualization for Brain Networks of Motor Imagery Based on Graph Convolutional Neural Networks

Abstract: As the most complex organ in the human body, the study of the human brain has always been a hot topic in the field of neuroscience. This paper mainly studies the relevant analysis and ...
Virtualization Review

Using ntopng for Network Visualization and Monitoring

In a previous article, I wrote about/confessed what a mess my home/home lab networking was and discussed various tools I used to discover what devices were connected to my home network and where they ...