Interesting Engineering

AlphaFold and the architecture that cracked protein structure

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
Frontiers

Editorial: Deep neural network architectures and reservoir computing

Over the past decade, deep learning (DL) techniques such as convolutional neural networks (CNNs) and long short-term memory (LSTM) networks have played a pivotal role in advancing the field of ...
IEEE

SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation

Abstract: This paper presents a novel approach to Quadrature Amplitude Modulation (QAM) demodulation using neural networks, addressing the limitations of traditional demodulation techniques in complex ...
IEEE

Research on Bearing Fault Diagnosis Methods Based on Various Convolutional Neural Network Architectures

Abstract: Bearing fault diagnosis is essential for ensuring the reliable and stable operation of mechanical equipment. While Convolutional Neural Networks (CNNs) have demonstrated significant ...
Frontiers

Optimizing quantum convolutional neural network architectures for arbitrary data dimension

Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis. This approach is ...
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 ...
Scientific Research Publishing

Zhao, X., Wang, L., Zhang, Y., Han, X., Deveci, M. and Parmar, M. (2024) A Review of Convolutional Neural Networks in Computer Vision. Artificial Intelligence Review, 57, 1-43.

ABSTRACT: Accurate brain tumour segmentation is critical for diagnosis and treatment planning, yet challenging due to tumour complexity. Manual segmentation is time-consuming and variable, ...