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 ...
Frontiers

Deep Domain Adaptation Applied to Remote Sensing Data Analysis

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
Scientific Research Publishing

Wang, Y.C., Chen, Y., Lan, S.L., Zhu, L.H. and Zhang, Y. (2024) End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey. IEEE Communications Surveys ...

ABSTRACT: Bipolar disorder (BD) affects approximately 45 million individuals worldwide and is characterized by recurrent episodes of mania, hypomania, and depression, with an average diagnostic delay ...
LinkedIn

Deep Learning Tutorial 12: Transfer Learning

Imagine, you built a model yesterday to classify images of different cars. Today you wish to classify electric vehicle, what you will do? Build a new dataset and train from scratch again? Well, we ...
Nature

Comparative evaluation of deep learning models for cardiovascular disease diagnosis and classification

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, highlighting the need for accurate and computationally efficient diagnostic tools. Electrocardiography (ECG) is widely ...
Frontiers

Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis, vol II

Psychiatry stands at a pivotal turning point shaped by rapid technological advances and pressing clinical demands (1). Mental health disorders, defined by multifaceted etiologies and heterogeneous ...
LinkedIn

Deep Learning Tutorial 9: CNN

In simplest terms, an image is nothing but a matrix of pixels. Therefore, we can apply linear algebra on it and produce new matrix from the image. This new matrix can be used to understand the image ...
AOL

Mysterious ‘Wow!’ signal from deep space was much stronger than first thought, scientists say

The mysterious “Wow!” signal from deep space, caused by a yet unknown astronomical event, was much stronger than previously thought, a new study suggests. “Wow!” is the name given to the enigmatic and ...
IEEE

Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification

Abstract: This study presents a novel perspective on multimodal deep learning for biomedical signal classification, systematically analyzing the impact of complementary feature domains on model ...
IEEE

Blind Beamforming via Deep Learning-Based Signal Classification and Transfer Learning

Abstract: We propose a new cognitive technique for blind adaptive beamforming which uses a pre-trained deep learningbased signal classifier to protect a signal of interest (SOI) from interference. The ...
Nature

Motor imagery EEG signal classification using novel deep learning algorithm

Electroencephalography (EEG) is widely used for neurological analysis, cognitive state monitoring, and disease diagnosis. Efficient classification of EEG signals is essential for detecting mental ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...