Results 11 to 20 of about 1,429,068 (340)
Simplified Routing Mechanism for Capsule Networks
Algorithms, 2023 Classifying digital images using neural networks is one of the most fundamental tasks within the field of artificial intelligence. For a long time, convolutional neural networks have proven to be the most efficient solution for processing visual data ...
János Hollósi +2 more
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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning [PDF]
IEEE Transactions on Medical Imaging, 2016 Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs).
Hoo-Chang Shin +8 more
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Convolution-Bidirectional Temporal Convolutional Network for Protein Secondary Structure Prediction
IEEE Access, 2022 As a basic feature extraction method, convolutional neural networks have some information loss problems when dealing with sequence problems, and a temporal convolutional network can compensate for this problem.
Yunqing Zhang, Yuming Ma, Yihui Liu
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Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks [PDF]
Physical and Engineering Sciences in Medicine, 2020 In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Covid-19 disease, and normal incidents, was utilized for the automatic detection of the Coronavirus disease.
Ioannis D. Apostolopoulos +1 more
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STUDY OF HARDWARE-IMPLEMENTED CONVOLUTIONAL NEURAL NETWORKS OF THE U-NET CLASS
Известия Томского политехнического университета: Промышленная кибернетика, 2023 The authors have developed and implemented two convolutional neural networks of the U-Net class: a modification of the classical U-Net and a UNet with dilated convolutions. For training and testing convolutional neural networks, data sets were used based
Ivan V. Zoev +3 more
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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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Graph Convolutional Neural Networks for Web-Scale Recommender Systems [PDF]
Knowledge Discovery and Data Mining, 2018 Recent advancements in deep neural networks for graph-structured data have led to state-of-the-art performance on recommender system benchmarks. However, making these methods practical and scalable to web-scale recommendation tasks with billions of items
Rex Ying +5 more
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Quantum convolutional neural networks [PDF]
Nature Physics, 2019 12 pages, 11 figures. v2: New application to optimizing quantum error correction codes, added sample complexity analysis, more details for experimental realizations, and other minor ...
Soonwon Choi +3 more
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Кібернетика та комп'ютерні технології, 2021 Introduction. The implementation of information technologies in various spheres of public life dictates the creation of efficient and productive systems for entering information into computer systems. In such systems it is important to build an effective
Elshan Mustafayev, Rustam Azimov
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Optimization design of binary VGG convolutional neural network accelerator
Dianzi Jishu Yingyong, 2021 Most of the existing researches on accelerators of binary convolutional neural networks based on FPGA are aimed at small-scale image input, while the applications mainly take large-scale convolutional neural networks such as YOLO and VGG as backbone ...
Zhang Xuxin +3 more
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