IEEE

Neural Network Aided Low-Complexity Decoding for PAC Codes

Abstract: Polarization-adjusted convolutional (PAC) codes are an advanced variant of polar codes, capable of approaching the dispersion bound in certain cases. However, to achieve the near-bound ...
Scientific Research Publishing

Prediction of Building Displacements during Wind Gusts Using Support Vector Regression and Deep Neural Network ()

The significance of artificial intelligence in contemporary human activities cannot be underestimated. Although the application of this technology in structural engineering is not recent, advancements ...
Frontiers

BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals

School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India Introduction: In recent years, Deep Learning (DL) architectures such as Convolutional Neural Network (CNN) ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
GitHub

Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks

This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...
Scientific Research Publishing

Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance ()

Skin conditions are a worldwide health issue that requires prompt and accurate diagnosis in order to be effectively treated. This study presents a Convolutional Neural Network (CNN)-based automated ...
Frontiers

LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition

Visual place recognition (VPR) is the ability to recognize locations in a physical environment based only on visual inputs. It is a challenging task due to perceptual aliasing, viewpoint and ...