Results 11 to 20 of about 191,916 (149)

Performance analysis of different DCNN models in remote sensing image object detection

EURASIP Journal on Image and Video Processing, 2022
In recent years, deep learning, especially deep convolutional neural networks (DCNN), has made great progress. Many researchers use different DCNN models to detect remote sensing targets. Different DCNN models have different advantages and disadvantages.
Huaijin Liu, Jixiang Du, Yong Zhang, Hongbo Zhang   +3 more
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Review of Node Classification Methods Based on Graph Convolutional Neural Networks [PDF]

Jisuanji kexue
Node classification is one of the important research tasks in graph field.In recent years,with the continuous deepening of research on graph convolutional neural network,significant progress has been made in the research and application of node ...
ZHANG Liying, SUN Haihang, SUN Yufa , SHI Bingbo
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A Hybrid Framework for Visual Positioning: Combining Convolutional Neural Networks with Ontologies

EAI Endorsed Transactions on Energy Web, 2022
Visual positioning is a new generation positioning technique which has been developed rapidly during recent years for many applications such as robotics, self-driving vehicles and positioning for visually impaired people due to advent of powerful image
Abdolreza Mosaddegh, Sérgio Lopes, Habib Rostami, Ahmad Keshavarz, Sara Paiva   +4 more
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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, Zhang Jia, Li Xinzeng, Jin Jie   +3 more
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A New Method of Mixed Gas Identification Based on a Convolutional Neural Network for Time Series Classification

Sensors, 2019
This paper proposes a new method of mixed gas identification based on a convolutional neural network for time series classification. In view of the superiority of convolutional neural networks in the field of computer vision, we applied the concept to ...
Lu Han, Chongchong Yu, Kaitai Xiao, Xia Zhao   +3 more
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Forecast Model of TV Show Rating Based on Convolutional Neural Network

Complexity, 2021
The TV show rating analysis and prediction system can collect and transmit information more quickly and quickly upload the information to the database. The convolutional neural network is a multilayer neural network structure that simulates the operating
Lingfeng Wang
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Feature Extraction From Images Using Integrated Photonic Convolutional Kernel

IEEE Photonics Journal, 2022
Optical neural networks are expected to solve the problems of computational efficiency and energy consumption in neural networks. Herein, we experimentally implemented a 2 × 2 photonic convolutional kernel (PCK) using four on-chip micro-ring ...
Yulong Huang, Beiju Huang, Chuantong Cheng, Huan Zhang, Hengjie Zhang, Run Chen, Hongda Chen   +6 more
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Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images

NeuroImage: Clinical, 2019
We hypothesized that expert epileptologists can detect seizures directly by visually analyzing EEG plot images, unlike automated methods that analyze spectro-temporal features or complex, non-stationary features of EEG signals.
Ali Emami, Naoto Kunii, Takeshi Matsuo, Takashi Shinozaki, Kensuke Kawai, Hirokazu Takahashi   +5 more
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Probabilistic Matrix Factorization Recommendation of Self-Attention Mechanism Convolutional Neural Networks With Item Auxiliary Information

IEEE Access, 2020
To solve the problem of data sparsity in recommendation systems, this paper proposes a probabilistic matrix factorization recommendation of self-attention mechanism convolutional neural networks with item auxiliary information.
Chenkun Zhang, Cheng Wang
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Color Filter Array Demosaicking Using Densely Connected Residual Network

IEEE Access, 2019
Deep convolutional neural networks have been used extensively in recent image processing research, exhibiting drastically improved performance. In this study, we apply convolutional neural networks to color filter array demosaicking, which plays an ...
Bumjun Park, Jechang Jeong
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