Distractify on MSN

The journalist is a machine: Lior Alexander and the end of the newsroom

Lior Alexander is the CEO of AlphaSignal. The platform has over a quarter of a million subscribers and generates 200 million ...

Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
IEEE

A Joint Optimization Guided Deep Learning Model based on CNN and Channel-Wise Transformers for Robust Sleep Stage Classification from EEG Signal

Abstract: Sleep stage classification is a critical task in sleep research, with significant implications for diagnosing and treating sleep disorders. Traditional methods rely on manual scoring of ...
IEEE

CNN-Based Image Forgery Detection Using Sequential Deep Learning Architecture

Abstract: The wide availability of digital image editing tools and software has made it highly straightforward to tamper with or modify digital media or photographic evidence, which shows that it is ...
IEEE

An automated early ischemic stroke detection system using CNN deep learning algorithm

Abstract: Over the past few years, stroke has been among the top ten causes of death in Taiwan. Stroke symptoms belong to an emergency condition, the sooner the patient is treated, the more chance the ...
IEEE

Investment Efficiency Prediction and Dynamic Optimization Based on Deep Learning Algorithm

Abstract: Traditional investment efficiency evaluation methods have problems such as low accuracy, slow response speed, and static analysis in terms of multi-dimensional feature processing, dynamic ...
IEEE

Enhanced Hybrid Deep Learning Model for Cybersecurity Threat Detection Using CNN-Bi-LSTM and Feature Optimization

Abstract: During the age of high-speed digital advancement, cyber threats increase not merely in numbers but also in complexity, threatening contemporary networks significantly. This article presents ...
IEEE

Comparative Study of Deep Learning Algorithms for Wi-Fi Channel State Information Based Human Activity Recognition

Abstract: Human Activity Recognition (HAR) using Wi-Fi Channel State Information (CSI) is a promising device-free, noninvasive sensing approach. This study compares deep learning architectures, ...
Frontiers

Deep learning and high-resolution magnetic resonance vascular wall imaging: current challenges and future perspectives

High-resolution magnetic resonance vessel wall imaging (HR-VWI) is an advanced MR imaging technique that can directly visualize intracranial vessel walls and detect subtle pathological changes. HR-VWI ...
IEEE

Research on Natural Language Text Categorization Algorithm Based on Deep Learning

Abstract: Natural language text categorization is one of the core tasks in Natural Language Processing (NLP), which is widely used in the fields of sentiment analysis, spam detection, news ...