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561“…Eleven different convolutional neuronal network-based (CNN) models were developed in this study to detect infected patients with coronavirus pneumonia using X-ray images (AlexNet, VGG16, VGG19, GoogleNet, ResNet18, ResNet500, ResNet101, InceptionV3, InceptionResNetV2, DenseNet201 and XceptionNet). …”
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562por HU, BOXUE, WEI, ZHUO, YOU, HAOYANG, NA, RISHA, LIU, RUI, XIONG, HAN, FU, PENGYU, ZHANG, JULIA, WANG, JIN“…These include voltage rise/fall time, voltage pulse width, pulse repetitive rate, duty ratio, voltage polarity, fundamental frequency, and modulation index. Partial discharge inception voltages (PDIVs) and repetitive partial discharge inception voltages (RPDIVs) of the sample are measured with varied voltage parameters. …”
Publicado 2021
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563“…The proposed model with reduced number of parameters is superior to state-of-of-the-art models Inception and Xception because it demonstrates an accuracy of 91%.…”
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564“…Three powerful networks, namely ResNet50, InceptionV3, and VGG16, have been fine-tuned on an enhanced dataset, which was constructed by collecting COVID-19 and normal chest X-ray images from different public databases. …”
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565por Gupta, Pushpanjali, Huang, Yenlin, Sahoo, Prasan Kumar, You, Jeng-Fu, Chiang, Sum-Fu, Onthoni, Djeane Debora, Chern, Yih-Jong, Chao, Kuo-Yu, Chiang, Jy-Ming, Yeh, Chien-Yuh, Tsai, Wen-Sy“…The proposed models achieved F-score of 0.97, area under curve (AUC) 0.97 with pretrained Inception-v3 model, and F-score of 0.99 and AUC 0.99 with customized Inception-ResNet-v2 Type 5 (IR-v2 Type 5) model.…”
Publicado 2021
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566por Aljawadi, Mohammad H., Aldhahri, Renad A., AlMetwazi, Mansour S., Arafah, Azher, Khoja, Abdullah T.“…OBJECTIVE: This study, therefore, aims to describe the clinical trial activity since the inception of clinical trials’ administration and national clinical trials’ registry within the Kingdom of Saudi Arabia (KSA). …”
Publicado 2021
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567por Ahmed, Khaled R.“…In addition, using the MVGG16 network as the backbone of the Faster R-CNN provides better mean precision and shorter inference time than using VGG16, InceptionV3, or MobilNetV2 backbones. The proposed MVGG16 succeeds in balancing the pothole detection accuracy and speed.…”
Publicado 2021
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568“…Second, in order to improve the adaptability and accuracy of the detection algorithm, we constructed a holistic detection model DR-IIXRN, which consists of Inception V3, InceptionResNet V2, Xception, ResNeXt101, and NASNetLarge. …”
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569“…Thereafter, we analyze several pretrained deep learning models, such as VGG-D, InceptionV3, DenseNet, Inception-ResNetV4, and Xception. …”
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570por Toledo, Joao, Haby, Michelle M, Reveiz, Ludovic, Sosa Leon, Leopoldo, Angerami, Rodrigo, Aldighieri, Sylvain“…METHODS: We searched PubMed (inception to 28 February 2021), Cochrane Central, Embase, LILACS and SciELO (inception to 3 July 2020), and other sources. …”
Publicado 2021
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571“…We discovered that the median age of MPVX infection has slowly increased since its inception, and currently, it is more common in adults. …”
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572por Sharma, Neha, Gupta, Sheifali, Koundal, Deepika, Alyami, Sultan, Alshahrani, Hani, Asiri, Yousef, Shaikh, Asadullah“…The six transfer learning models used are Inception V3, SeResNet50, VGG19, DenseNet121, InceptionResNetV2, and EfficientNet B0. …”
Publicado 2023
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573“…In this study, the Adding Inception Module-Unet (AIM-Unet) model, which is a hybridization of convolutional neural networks-based Unet and Inception models, is proposed for computer-assisted automatic segmentation of the liver and liver tumors from CT scans of the abdomen. …”
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574por Tahir, Maryam, Naeem, Ahmad, Malik, Hassaan, Tanveer, Jawad, Naqvi, Rizwan Ali, Lee, Seung-Won“…The accuracies of ResNet-152, Vgg-19, MobileNet, and Vgg-16, EfficientNet-B0, and Inception-V3 are 89.68%, 92.51%, 91.46%, 89.12%, 89.46%, and 91.82%, respectively. …”
Publicado 2023
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575por Yang, Pei, Pi, Yong, He, Tao, Sun, Jiangming, Wei, Jianan, Xiang, Yongzhao, Jiang, Lisha, Li, Lin, Yi, Zhang, Zhao, Zhen, Cai, Huawei“…Four pre-trained neural networks that included ResNet50, DenseNet169, InceptionV3, and InceptionResNetV2 were implemented to construct AI models. …”
Publicado 2021
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576por Brill, Percy H“…Since its inception in 1974, the level crossing approach for analyzing a large class of stochastic models has become increasingly popular among researchers. …”
Publicado 2008
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577por Krantz, Steven G“…This text explores the many transformations that the mathematical proof has undergone from its inception to its versatile, present-day use, considering the advent of high-speed computing machines. …”
Publicado 2011
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578“…Since its inception, the Internet has evolved from a textual information system towards a multimedia information system, in which data, services and applications are consumed as content. …”
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579por Ahmadi, Sassan“… This book is an in-depth, systematic and structured technical reference on 3GPP's LTE-Advanced (Releases 10 and 11), covering theory, technology and implementation, written by an author who has been involved in the inception and development of these technologies for over 20 years. …”
Publicado 2013
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580“…Since its inception in 1966, the series of numbered volumes known as Semiconductors and Semimetals has distinguished itself through the careful selection of well-known authors, editors, and contributors. …”
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