What is CNN in Deep Learning? The AI Behind Computer Vision

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
Tech Xplore on MSN

Small changes make some AI systems more brain-like than others

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...
Scientific Research Publishing

Pereira, D.R., Filho, P.P.R., de Rosa, G.H., Papa, J.P. and de Albuquerque, V.H.C. (2018) Stroke Lesion Detection Using Convolutional Neural Networks. 2018 International Joint ...

ABSTRACT: Intracranial hemorrhage (ICH) is a critical subtype of stroke that arises from bleeding within the brain and often leads to severe neurological damage or death if not diagnosed at an early ...
Scientific Research Publishing

Koti, M.S., Nagashree, B.A., Shreyas, K.P., Mathivanan, S.K., Dalu, G.T., et al. (2024) Lung Cancer Diagnosis Based on Weighted Convolutional Neural Network Using Gene Data ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...
GitHub

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

This paper examines the choice of architecture for a new sequence modelling task. Traditionally, sequence modelling is synonymous with recurrent networks. However, recent results indicate that ...
Frontiers

Predicting mortality in critically ill patients with hypertension using machine learning and deep learning models

1 Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL, United States 2 Weill Cornell Medicine, Cornell University, New York, NY, United States Background: Accurate ...
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 ...
IEEE

Recognition of Knee Osteoarthritis by 1D and 2D Convolutional Neural Networks Using Vibroarthrographic Signals

Abstract: Osteoarthritis (OA) of the knee is a leading cause of joint pain and mobility loss. Early diagnosis is crucial for effective management yet remains challenging with traditional imaging ...
GitHub

Uncertainty Quantification for Deep Learning in Sleep Apnea Detection

This repository contains the Python code for the Master's Thesis: "Uncertainty Quantification for Deep Learning in Sleep Apnea Detection: A Comparative Evaluation of Monte Carlo Dropout and Deep ...
IEEE

1D Convolutional Neural Network-Based Hierarchical Classification of Eye Movements Using Noncontact Electrooculography

Abstract: This study addresses the discomfort and challenges posed by traditional electrooculography (EOG) measurement methods that require skin-contact electrodes by developing a non-contact EOG ...