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pro vyhledávání: '"CIFAR-10"'
Autor:
A. A. Инкижеков, А. С. Дулесов
Publikováno v:
Современные инновации, системы и технологии, Vol 4, Iss 2 (2024)
Swarm Intelligence offers powerful methods for solving optimization problems used in configuring hyperparameters of neural networks. This article examines the performance of the particle swarm optimization algorithm compared to Grid Search on two dif
Externí odkaz:
https://doaj.org/article/0bd24a23c90246da91ce6c487604639c
Publikováno v:
Mathematics, Vol 12, Iss 7, p 1083 (2024)
Recent research has revealed that subtle imperceptible perturbations can deceive well-trained neural network models, leading to inaccurate outcomes. These instances, known as adversarial examples, pose significant threats to the secure application of
Externí odkaz:
https://doaj.org/article/ef15f7c0a2e5423ea6b17442f26ff75f
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp 461-85 (2023)
Content-based image retrieval (CBIR) is a technique used to retrieve image from an image database. However, the CBIR process suffers from less accuracy to retrieve many images from an extensive image database and prove the privacy of images. The aim
Externí odkaz:
https://doaj.org/article/c665c312a37e4ec8b18c4070bfc8af85
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 015040 (2024)
Image classification, a pivotal task in multiple industries, faces computational challenges due to the burgeoning volume of visual data. This research addresses these challenges by introducing two quantum machine learning models that leverage the pri
Externí odkaz:
https://doaj.org/article/cebaa2d22711423c8fbce4e90178198a
Autor:
Murinto Murinto, Miftahurrahma Rosyda
Publikováno v:
Jurnal Informatika, Vol 10, Iss 1, Pp 99-105 (2022)
The convolutional neural network (CNN) is a technique that is often used in deep learning. Various models have been proposed and improved for learning on CNN. When learning with CNN, it is important to determine the optimal parameters. This paper pro
Externí odkaz:
https://doaj.org/article/5b958ed4e9254e608874fdc2b6b21b3d
Autor:
Ravikumar KI, Sukumar R
Publikováno v:
High-Confidence Computing, Vol 2, Iss 4, Pp 100085- (2022)
With the increasing growth of AI, big data analytics, cloud computing, and Internet of Things applications, developing memristor devices and related hardware systems to compute the deep learning application needs extensive data calculations with low
Externí odkaz:
https://doaj.org/article/3848bd519a8e4c9b8804b9716582d505
Akademický článek
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Publikováno v:
Machine Learning and Knowledge Extraction, Vol 2, Iss 4, Pp 558-578 (2020)
Neural network classifiers (NNCs) are known to be vulnerable to malicious adversarial perturbations of inputs including those modifying a small fraction of the input features named sparse or L0 attacks. Effective and fast L0 attacks, such as the wide
Externí odkaz:
https://doaj.org/article/0caf3c18e6ef4c9c8266dd13c62b4509
Autor:
Rastri Prathivi
Publikováno v:
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 4, Iss 4, Pp 717-722 (2020)
The low accuracy when performing the image classification process is a problem that often occurs. The image classification process requires the completeness of the features of the image which form an informative image pattern so that information from
Externí odkaz:
https://doaj.org/article/2aba15b6208c48eba9b0a64c21974152