Noozhawk

AI Helps Explain How Covert Attention Works and Uncovers New Neuron Types

Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
IEEE

AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction

Abstract: Air pollution is a vital environmental and public health issue responsible for millions of early deaths worldwide every year. Predicting air quality and associated health impacts is crucial ...
Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Le Lézard

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

WiMi Hologram Cloud Inc. ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) for image ...
Railway Technology on MSN

Rail Vision secures European patent for AI rail collision avoidance system

The company said that the protection applies in Europe and covers a system for detecting hazards on and near the tracks ahead of a train.
Armed robbery in Revesby

AI Reveals Covert Attention, Discovers New Neurons

(Santa Barbara, Calif.) — Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert attention. We do it ...
IEEE

Learning laws for deep convolutional neural networks with guaranteed convergence

Abstract: Convolutional Neural Networks (CNNs) have shown remarkable success across numerous tasks such as image classification, yet the theoretical understanding of their convergence remains ...
Frontiers

Predictive modelling employing machine learning, convolutional neural networks (CNNs), and smartphone RGB images for non-destructive biomass estimation of pearl millet ...

Digital tools and non-destructive monitoring techniques are crucial for real-time evaluations of crop output and health in sustainable agriculture, particularly for precise above-ground biomass (AGB) ...