Results 21 to 30 of about 815,001 (281)
Generalization Error in Deep Learning [PDF]
, 2019 Deep learning models have lately shown great performance in various fields such as computer vision, speech recognition, speech translation, and natural language processing.
D McAllester +17 more
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Computer networks anomaly detection by using PCA & pattern recognition [PDF]
Mathematics and Computational SciencesThe detection of anomalies in computer networks is one of the most considerable challenges that experts in this field are facing nowadays. Thus far, different artificial intelligence methods and algorithms have been proposed, tested, and utilized for ...
Elham Bideh, Javad Vahidi
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Multi-Classifier of DDoS Attacks in Computer Networks Built on Neural Networks
Applied Sciences, 2021 The great commitment in different areas of computer science for the study of computer networks used to fulfill specific and major business tasks has generated a need for their maintenance and optimal operability. Distributed denial of service (DDoS) is a
Andrés Chartuni, José Márquez
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Neural network-based colonoscopic diagnosis using on-line learning and differential evolution [PDF]
, 2004 In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for the on-line back-propagation (BP) is proposed and used to seed an on-line ...
Battiti +18 more
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Artificial Intelligence for Energy Processes and Systems: Applications and Perspectives
Energies, 2023 In recent years, artificial intelligence has become increasingly popular and is more often used by scientists and entrepreneurs. The rapid development of electronics and computer science is conducive to developing this field of science.
Dorian Skrobek +8 more
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Automatic Gully Detection: Neural Networks and Computer Vision
Remote Sensing, 2020 Transition from manual (visual) interpretation to fully automated gully detection is an important task for quantitative assessment of modern gully erosion, especially when it comes to large mapping areas.
Artur M. Gafurov, Oleg P. Yermolayev
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Physics Inspired Deep Neural Networks for Top Quark Reconstruction [PDF]
EPJ Web of Conferences, 2020 Deep neural networks (DNNs) have been applied to the fields of computer vision and natural language processing with great success in recent years. The success of these applications has hinged on the development of specialized DNN architectures that take ...
Greif Kevin, Lannon Kevin
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Acta 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
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Explainable Neural Computation via Stack Neural Module Networks [PDF]
Applied AI Letters, 2018 AbstractIn complex inferential tasks like question answering, machine learning models must confront two challenges: the need to implement a compositional reasoning process, and, in many applications, the need for this reasoning process to be interpretable to assist users in both development and prediction.
Ronghang Hu +3 more
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Small Neural Networks can Denoise Image Textures Well: a Useful Complement to BM3D
Image 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
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