Results 11 to 20 of about 5,267,034 (238)
Exploring Underwater Target Detection Algorithm Based on Improved SSD
As the in-depth exploration of oceans continues, the accurate and rapid detection of fish, bionics and other intelligent bodies in an underwater environment is more and more important for improving an underwater defense system.
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Control Application of Wolf Group Optimization Convolutional Neural Network in Ship Virtual Manufacturing [PDF]
In order to optimize the control strategy of virtual industrial manufacturing,the convolution neural network algorithm based on wolf swarm optimization is used to study the control of virtual industrial manufacturing.Firstly,according to the task and ...
XIAO Shi-long, WU Di, TANG Chao-chen, SHEN Xian-hao, ZHANG De-yu
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Annual dilated convolution neural network for newbuilding ship prices forecasting
Anticipating newbuilding ship prices is crucial for participants in the dynamic shipping market. Although the researchers from forecasting and shipping have shown that the machine learning models outperform statistical ones, convolution neural networks ...
Yuen, Kum Fai +3 more
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Encoding temporal information in deep convolution neural network [PDF]
Luigi Bianchi, Avinash Singh
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GSDCPeleeNet:efficient lightweight convolutional neural based on PeleeNet
Convolutional neural network plays an important role in various fields, especially in the field of computer vision, but its application in mobile devices is limited by the excessive number of parameters and computation.
Ni Weijian, Qin Huibin
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A brain tumor identification using convolution neural network and fully convolution neural network [PDF]
Brain tumor identification, along with an investigation, is harmful to the patient. Segmentation, therefore, of paying attention to near-neighborhood growth remains accurate, effective, and healthy.
Mruthyunjaya, Mandala Suresh Kumar
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Design of universal convolutional layer IP core based on FPGA
Aiming at the problems of insufficient computing speed and poor portability in the miniaturization and parallelization of convolutional neural network,this paper proposes a design of high-speed universal convolutional layer IP core using VHDL language ...
Guochen AN +4 more
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Deep learning is an important support for the development of cognitive communication in the cognitive Internet of Things (IoT). Deep convolution neural networks have powerful functional expression and feature extraction capabilities.
Huaji Zhou +6 more
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UAV remote sensing has been widely used in emergency rescue, disaster relief, environmental monitoring, urban planning, and so on. Image recognition and image location in environmental monitoring has become an academic hotspot in the field of computer ...
Kunrong Zhao +6 more
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Research on Real-Time Face Recognition Algorithm Based on Lightweight Network
In order to achieve high-precision real-time face recognition on embedded and mobile devices, the advant-ages and disadvantages of common networks in face recognition are analyzed, and an efficient deep convolution neural network model Lightfacenet is ...
ZHANG Dian, WANG Haitao, JIANG Ying, CHEN Xing
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