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Scene-Aware Deep Networks for Semantic Segmentation of Images
Published 2019-01-01Get full text
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Global Geomagnetic Perturbation Forecasting Using Deep Learning
Published 2022-06-01Get full text
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23
Recent advances in deep learning and language models for studying the microbiome
Published 2025-01-01Get full text
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24
Deep Feature Learning for Intrinsic Signature Based Camera Discrimination
Published 2022-09-01Get full text
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25
Deep Sequential Model for Anchor Recommendation on Live Streaming Platforms
Published 2021-09-01“…To evaluate the performance of our proposed model, we conduct experiments on real datasets, and the results show that our proposed model outperforms state-of-the-art recommendation models.…”
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26
Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer
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27
Deep learning application for stellar parameter determination: III-denoising procedure
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28
Key technologies of deep space TT&C and telecommunication for Mars exploration
Published 2023-03-01“…The implementation of China's deep space telemetry, track and command (TT&C) system has always revolved around the three-step strategy of the lunar exploration project, including “circling”, “falling” and “returning”, which helps us to make great achievements from the breakthrough of key technologies, the initial construction of the system to the optimization of the system.At present, the success of Mars exploration will further promote our ability of deep space TT&C system construction.In terms of the view of the key technologies of deep space response and the ground station system construction, the development process of China's deep space TT&C system from scratch was reviewed, and the key technologies of Mars deep space TT&C system were summarized.At the same time, in view of the advantages of the United States in planetary exploration, the deep space response technology of the “Perseverance” rover was analyzed and summarized, which can provide reference for the future development of Mars exploration in China.Furthermore, considering the construction of the US deep space station and the current rapidly growing demand for future deep space exploration missions, the system structure, overall performance, key system design issues and contributions of these Chinese deep space stations were briefly reviewed.…”
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29
Deep Learning Techniques in DICOM Files Classification: A Systematic Review
Published 2025Get full text
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30
Shifting Paradigms: A Deep Dive Into Public Perceptions of Gender-affirming Surgery
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31
Real-time monitoring of lower limb movement resistance based on deep learning
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Fault Diagnosis Analysis of Variable Working Condition Gearbox based on DWAE and GRUNN Combination Model
Published 2022-02-01Get full text
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34
Mechanical Analysis on the Transmission Mechanism of 35 Type Gear Long Ring Rack Pumping Units
Published 2023-05-01“…Based on the dynamic simulation of the pumping unit operation process using Adams, the dynamic characteristics of the transmission mechanism and rollers are studied and the influence of dynamic on the pumping unit operation state is analyzed. …”
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Rating pome fruit quality traits using deep learning and image processing
Published 2024-10-01Get full text
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36
Deep and robust resource allocation for random access network based with imperfect CSI
Published 2020-07-01“…A deep and robust resource allocation framework was proposed for the random access based wireless networks,where both the communication channel state information (C-CSI) and the interference channel state information (I-CSI) were uncertain.The proposed resource allocation framework considered the optimization objective of wireless networks as a learning problem and employs deep neural network (DNN) to approximate optimal resource allocation policy through unsupervised manner.By modeling the uncertainties of CSI as ellipsoid sets,two concatenated DNN units were proposed,where the first was uncertain CSI processing unit and the second was the power control unit.Then,an alternating iterative training algorithm was developed to jointly train the two concatenated DNN units.Finally,the simulations verify the effectiveness of the proposed robust leaning approach over the nonrobust one.…”
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A method of processing mechanical mixtures using vortex set of deep separation
Published 2018-04-01Get full text
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38
The optimal dispatching strategy of cogeneration based on Deep Q-Network (DQN) algorithm
Published 2024-01-01“…This work expands on previous research to offer a state-of-the-art approach for optimizing the dispatching of cogeneration systems, given the limitations faced by conventional coal-fired cogeneration units and the increasing environmental standards. …”
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Time-series forecasting of microbial fuel cell energy generation using deep learning
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40
Pitted Keratolysis Associated With Cutaneous Small-Vessel Vasculitis Resembling Deep Vein Thrombosis
Published 2025-01-01Get full text
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