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Competitive residual neural network for image classification
ICT Express, 2020 We propose a novel residual network called competitive residual network (CoRN) for image classification. The proposed network is composed of residual units having two identical blocks each containing convolutional filters, batch normalization, and a ...
Muhammad Shehzad Hanif, Muhammad Bilal
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Residual Neural Network in Genomics [PDF]
Computer Science Journal of Moldova, 2022 Residual neural network (ResNet) is a Deep Learning model introduced by He et al. in 2015 to enhance traditional convolutional neural networks proposed to solve computer vision problems.
Sara Sabba +4 more
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Double Residual Network Recognition Method for Falling Abnormal Behavior
Jisuanji kexue yu tansuo, 2020 In the abnormal behavior monitoring, due to the complicated situation such as monitoring angles of view, human body postures and scenes, it is easy to cause vanishing gradient and over-fitting by directly adding 3D con-volutional neural network layers to
WANG Xinwen, XIE Linbo, PENG Li
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Study on detection of gross error in geodetic network adjustment [PDF]
Geodesy and Cartography, 2018 Generally, gross errors exist in observations, and they affect the accuracy of results. We review methods to detect the gross errors by Robust estimation method based on L1-estimation theory and their validity in adjustment of geodetic networks with ...
Jung-Hyang Kim +2 more
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Recognition of Rare Microfossils Using Transfer Learning and Deep Residual Networks
Biology, 2022 Various microfossils from the early Cambrian provide crucial clues for understanding the Cambrian explosion and the origin of animal phyla. However, specimens with important anatomical structures are extremely rare and the efficiency of retrieving such ...
Bin Wang +8 more
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Journal of Marine Science and Engineering, 2022 In this paper, a 2-stage cascaded deep learning framework, Port Wave Prediction Network (PWPNet), is proposed for real-time prediction of significant wave height (SWH) distribution in a port. The PWP-out model of the first stage, predicting port-entrance
Cui Xie +7 more
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Quality enhancement of VVC intra-frame coding for multimedia services over the Internet
International Journal of Distributed Sensor Networks, 2020 In this article, versatile video coding, the next-generation video coding standard, is combined with a deep convolutional neural network to achieve state-of-the-art image compression efficiency.
Seunghyun Cho +2 more
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Frontiers in Oncology, 2023 PurposeTo automatically evaluate renal masses in CT images by using a cascade 3D U-Net- and ResNet-based method to accurately segment and classify focal renal lesions.Material and MethodsWe used an institutional dataset comprising 610 CT image series ...
Tongtong Zhao +5 more
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PET image enhancement using artificial intelligence for better characterization of epilepsy lesions
Frontiers in Medicine, 2022 Introduction[18F]fluorodeoxyglucose ([18F]FDG) brain PET is used clinically to detect small areas of decreased uptake associated with epileptogenic lesions, e.g., Focal Cortical Dysplasias (FCD) but its performance is limited due to spatial resolution ...
Anthime Flaus +18 more
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Multilabel Text Classification Using Multilayer DGAT
IEEE Access, 2022 Text classification is one of the most fundamental tasks in text data analysis. Generally, textual data are extensive in scale and complex in the inherent relationship, leading to low accuracy in traditional classification models.
Hui Chen +4 more
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