Results 21 to 30 of about 165,960 (199)

Evaluation of Melanoma Thickness with Clinical Close-up and Dermoscopic Images Using a Convolutional Neural Network

open access: yesActa Dermato-Venereologica, 2022
Convolutional neural networks (CNNs) have shown promise in discriminating between invasive and in situ melanomas. The aim of this study was to analyse how a CNN model, integrating both clinical close-up and dermoscopic images, performed compared with 6 ...
Martin Gillstedt   +8 more
doaj   +1 more source

Small Neural Networks can Denoise Image Textures Well: a Useful Complement to BM3D

open access: yesImage Processing On Line, 2016
Recent years have seen a surge of interest in deep neural networks fueled by their successful applications in numerous image processing and computer vision tasks. However, such applications typically come with huge computational loads.
Yi-Qing Wang
doaj   +1 more source

Harnessing Advanced Neural Architectures: A Comprehensive Approach to Stock Market Prediction Using ANN, BPNN, and GAN [PDF]

open access: yesSHS Web of Conferences
The advent of advanced neural network models has revolutionized the field of machine learning, enabling breakthroughs in various domains such as computer vision, natural language processing, and predictive analytics.
Wang Yang
doaj   +1 more source

Automatic Pipeline Parallel Training Framework for General-purpose Computing Devices [PDF]

open access: yesJisuanji kexue
Training large-scale neural networks usually exceeds the memory and computing capacity of a single computing node,which requires distributed training using multiple nodes.Existing distributed deep learning frameworks are mainly designed for specific ...
ZHONG Zhenyu, LIN Yongliang, WANG Haotian, LI Dongwen, SUN Yufei, ZHANG Yuzhi
doaj   +1 more source

Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot

open access: yesОсвітній вимір, 2018
Semerikov S.O., Teplytsʹkyy I.O., Yechkalo YU.V. and Kiv A.E. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot.
Сергій Семеріков   +3 more
doaj   +1 more source

Using spreadsheets as learning tools for computer simulation of neural networks [PDF]

open access: yesSHS Web of Conferences, 2020
The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed.
Semerikov Serhiy   +5 more
doaj   +1 more source

Probabilistic classification of quality of service in wireless computer networks

open access: yesICT Express, 2019
There is an increasing reliance on wireless computer networks for communicating various types of time sensitive applications such as voice over internet protocol (VoIP). Quality of service (QoS) can play an important role in wireless computer networks as
Abdussalam Salama, Reza Saatchi
doaj   +1 more source

Anti-periodic behavior for quaternion-valued delayed cellular neural networks

open access: yesAdvances in Difference Equations, 2021
In this manuscript, quaternion-valued delayed cellular neural networks are studied. Applying the continuation theorem of coincidence degree theory, inequality techniques and a Lyapunov function approach, a new sufficient condition that guarantees the ...
Zhenhua Duan, Changjin Xu
doaj   +1 more source

A decade of adversarial examples: a survey on the nature and understanding of neural network non-robustness

open access: yesКомпьютерная оптика
Adversarial examples, in the context of computer vision, are inputs deliberately crafted to deceive or mislead artificial neural networks. These examples exploit vulnerabilities in neural networks, resulting in minimal alterations to the original input ...
A.V. Trusov   +2 more
doaj   +1 more source

A primer on deep learning and convolutional neural networks for clinicians

open access: yesInsights into Imaging, 2021
Deep learning is nowadays at the forefront of artificial intelligence. More precisely, the use of convolutional neural networks has drastically improved the learning capabilities of computer vision applications, being able to directly consider raw data ...
Lara Lloret Iglesias   +7 more
doaj   +1 more source

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