Results 11 to 20 of about 106,507 (285)
Limited Discriminator GAN using explainable AI model for overfitting problem
ICT Express, 2023 Data-driven learning is the most representative deep learning method. Generative adversarial networks (GANs) are designed to generate sufficient data to support such learning.
Jiha Kim, Hyunhee Park
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Linear-Combined-Code-Based Unambiguous Code Discriminator Design for Multipath Mitigation in GNSS Receivers [PDF]
Radioengineering, 2012 Unambiguous tracking and multipath mitigation for Binary Offset Carrier (BOC) signals are two important requirements of modern Global Navigation Satellite Systems (GNSS) receivers.
Jiawei Ren +3 more
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A Threshold-Control Generative Adversarial Network Method for Intelligent Fault Diagnosis
Complex System Modeling and Simulation, 2021 Fault diagnosis plays the increasingly vital role to guarantee the machine reliability in the industrial enterprise. Among all the solutions, deep learning (DL) methods have achieved more popularity for their feature extraction ability from the raw ...
Xinyu Li, Sican Cao, Liang Gao, Long Wen
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Automatic frequency control system of a pulsed magnetron [PDF]
Радиофизика и электроника, 2019 The subject and purpose of the work. The need to generate high-power pulsed high-frequency oscillations and ensuring the necessary energy potential of radio engineering systems leads to the usage of magnetrons.
I.P. Bezginа +4 more
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SYSTEM OF AUTOMATIC FREQUENCY CONTROL OF HETERODYNE OF RADAR RECEIVER WITH MAGNETRON TRANSMITTER [PDF]
Радиофизика и электроника, 2018 Subject and purpose. At present, pulsed magnetrons are leaders in the use in the transmitters of radar stations which is caused by the need to generate powerful high-frequency oscillations and to provide a given range of radar.
I. M. Mytsenko, D. D. Khalameyda
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Applied Sciences, 2023 The development of IoT technology has made various IoT applications and services widely used. Because IoT devices have weak information security protection capabilities, they are easy targets for cyber attacks.
Hung-Chi Chu, Yu-Jhe Lin
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Applied Sciences, 2022 The low accuracy of detection algorithms is one impediment in detecting ceramic tile’s surface defects online utilizing intelligent detection instead of human inspection. The purpose of this paper is to present a CNFA for resolving the obstacle. Firstly,
Kan Wang, Zeren Li, Xu Wang
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Sensors, 2021 Generative adversarial network (GAN) has been regarded as a promising solution to many machine learning problems, and it comprises of a generator and discriminator, determining patterns and anomalies in the input data.
Acklyn Murray, Danda B. Rawat
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Skin Medical Image Captioning Using Multi-Label Classification and Siamese Network
IEEE Access, 2023 Image captioning is a process of automatically generating descriptive sentences for a given image. Text-to-image search is a form of search in which images are retrieved based on matching keywords and image features.
Yihlon Lin, Kuiyou Lai, Wenyu Chang
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Image plagiarism detection using GAN - (Generative Adversarial Network) [PDF]
ITM Web of Conferences, 2021 In Today’s date plagiarism is a very important aspect because content originality is the client's prior requirement. Many people on the internet use others' images and get publicity while the owner of the image or data won′t get anything out of it.
Gayadhankar Kaustubh +3 more
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