Frontiers

Spiking Neural Networks at Scale: Learning Algorithms, Architectures, and Real-World Applications

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...
The Lancet

Deep learning algorithms for identifying developmental dysplasia of the hip based on sonographic images: a retrospective, prospective, multicenter study in China

aDepartment of Medical Ultrasonics, Affiliated Shenzhen Children's Hospital, College of Medicine, Shantou University, No. 7019 Yitian Road, Shenzhen, China bShenzhen University Medical School, ...
European Medical Journal

Deep Learning-Based Approach to Emergency Department Chest Pain Risk Stratification by ECG

Chest pain is among the most common reasons for presentation to the emergency department, yet identifying patients at the ...
eLife

High-content high-resolution microscopy and deep learning-assisted analysis reveals host and bacterial heterogeneity during Shigella infection

High-content high-resolution microscopy coupled with deep learning-based analysis reveals novel phenotypes at the single-cell level during Shigella infection.
Devdiscourse

Advanced Hybrid Deep Learning Model Enhances Reliability of Automobile Fraud Detection Systems

Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...
IEEE

Comparative Study of Deep Learning Models for Sentiment Analysis on Social Media Data Using Hybrid BiLSTM-CNN Architecture

Abstract: In the modern era, social media platforms serve as key venues where individuals engage in conversations, share ideas, and express opinions. Sentiment analysis is a subfield of Natural ...
IEEE

An Efficient IoT-based Fire Detection System Using Quantized Deep Learning Model on Resource-Constrained Devices

Abstract: Fire hazards have been a source of huge losses in households, industries, and public places. The conventional fire safety system integrates embedded systems such as sensors and ...
IEEE

Robust Sea Clutter Suppression by C-ASJU Dictionary Learning and ECWT Denoised Algorithm

Abstract: To address the challenge of detecting weak targets obscured by strong sea clutter and noise in complex maritime environments, this article presents a robust sea clutter suppression method.
EE World Online

How does deep learning actually work?

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
Devdiscourse

AI models face real-world reality check in 6G network slicing

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...
GitHub

Pushkkaarr/Weapon-Detection-Using-Fast-R-CNN

This project is a computer vision system designed to detect weapons in video streams or files. It is intended to enhance public safety by identifying dangerous objects such as firearms in real-time or ...
IEEE

Explainable Deep Malware Detection in IoT Devices Using CNN-BiLSTM

Abstract: The increasing prevalence of Internet of Things (IoT) devices has expanded the attack surface for malware-based intrusions, necessitating robust and interpretable security solutions. This ...