Results 21 to 30 of about 5,989,108 (296)
Journal of Imaging, 2023 Artificial neural networks can solve various tasks in computer vision, such as image classification, object detection, and general recognition.
Ladislav Karrach, Elena Pivarčiová
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An overview of neural networks for medical image recognition [PDF]
E3S Web of Conferences, 2023 Medical image recognition plays a crucial role in computer diagnostics and has been greatly enhanced by the advancements in deep learning techniques, particularly neural networks.
Berezovsky V.V., Vygovskaya N.V.
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A New Method on Kerma Estimation in Mammography Screenings [PDF]
Journal of Biomedical Physics and Engineering, 2021 Background: Given the extensive use and preferred diagnostic method in common mammography tests for screening and diagnosis of breast cancer, there is concern about the increased dose absorbed by the patient due to the sensitivity of the breast tissue ...
Mohammad Nabipour +4 more
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AI-Track-tive: open-source software for automated recognition and counting of surface semi-tracks using computer vision (artificial intelligence) [PDF]
Geochronology, 2021 A new method for automatic counting of etched fission tracks in minerals is described and presented in this article. Artificial intelligence techniques such as deep neural networks and computer vision were trained to detect fission surface semi-tracks on
S. Nachtergaele, J. De Grave
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An Interactive Visualization for Feature Localization in Deep Neural Networks
Frontiers in Artificial Intelligence, 2020 Deep artificial neural networks have become the go-to method for many machine learning tasks. In the field of computer vision, deep convolutional neural networks achieve state-of-the-art performance for tasks such as classification, object detection, or ...
Martin Zurowietz, Tim W. Nattkemper
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Review of dynamic gesture recognition
Virtual Reality & Intelligent Hardware, 2021 In recent years, gesture recognition has been widely used in the fields of intelligent driving, virtual reality, and human-computer interaction. With the development of artificial intelligence, deep learning has achieved remarkable success in computer ...
Yuanyuan SHI +4 more
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DETECTION OF ATTACKS ON A COMPUTER NETWORK BASED ON THE USE OF NEURAL NETWORKS COMPLEX
Nauka ta progres transportu, 2020 Purpose. The article is aimed at the development of a methodology for detecting attacks on a computer network. To achieve this goal the following tasks were solved: to develop a methodology for detecting attacks on a computer network based on an ensemble
I. V. Zhukovyts'kyy +3 more
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Transition between individually different and common features in skilled drumming movements
Frontiers in Sports and Active Living, 2022 Why do professional athletes and musicians exhibit individually different motion patterns? For example, baseball pitchers generate various pitching forms, e.g., variable wind-up, cocking, and follow-through forms.
Ken Takiyama +2 more
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Measurement: Sensors, 2021 The convolutional neural network is a subfield of artificial neural networks and has made great achievements in various domains over the past decade.
Hengyi Li +5 more
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Lazy training of radial basis neural networks [PDF]
, 2006 Proceeding of: 16th International Conference on Artificial Neural Networks, ICANN 2006. Athens, Greece, September 10-14, 2006Usually, training data are not evenly distributed in the input space.
Galván, Inés M. +5 more
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