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 ...
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, ...

New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
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 ...
Digital Trends

The FBI just cracked open Signal texts on an iPhone. Here’s how to lock yours down

Signal has long been one of the most secure messaging apps available. It uses end-to-end encryption, collects very little data, and offers features like disappearing messages to keep conversations ...
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 ...
LinkedIn

Deep Learning Tutorial 8: Generalization

In the last tutorial we saw how size of a network matters most. In addition, also saw how learning rate can manipulate the performance. Continuing to this, lets do another experiment in order to ...
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 ...