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检索条件"机构=CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology"
907 条 记 录,以下是431-440 订阅
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RLEPSO: Reinforcement learning based Ensemble particle swarm optimizer  4
RLEPSO: Reinforcement learning based Ensemble particle swarm...
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4th International Conference on Algorithms, computing and Artificial Intelligence, ACAI 2021
作者: Yin, Shiyuan Liu, Yi Gong, GuoLiang Lu, Huaxiang Li, Wenchang Institute of Semiconductors Chinese Academy of Sciences Beijing China Institute of Semiconductors Chinese Academy of Sciences University of Chinese Academy of Sciences China Academy of Sciences Brain Science and Intelligent Technology Excellence Innovation Center Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China
Evolution is the driving force behind the evolution of biological intelligence. Learning is the driving force behind human civilization. The combination of evolution and learning can form an entire natural world. Now,... 详细信息
来源: 评论
Comparative genomic and transcriptomic analyses uncover the molecular basis of high nitrogen-use efficiency in the wheat cultivar Kenong 9204
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Molecular Plant 2022年 第9期15卷 1440-1456页
作者: Xiaoli Shi Fa Cui Xinyin Han Yilin He Long Zhao Na Zhang Hao Zhang Haidong Zhu Zhexin Liu Bin Ma Shusong Zheng Wei Zhang Jiajia Liu Xiaoli Fan Yaoqi Si Shuiquan Tian Jianqing Niu Huilan Wu Xuemei Liu Zhuo Chen Deyuan Meng Xiaoyan Wang Liqiang Song Lijing Sun Jie Han Hui Zhao Jun Ji Zhiguo Wang Xiaoyu He Ruilin Li Xuebin Chi Chengzhi Liang Beifang Niu Jun Xiao Junming Li Hong-Qing Ling State Key Laboratory of Plant Cell and Chromosome Engineering Institute of Genetics and Developmental BiologyInnovation Academy for Seed DesignChinese Academy of SciencesBeijing 100101China Key Laboratory of Molecular Module-Based Breeding of High Yield and Abiotic Resistant Plants in Universities of Shandong College of AgricultureLudong UniversityYantai 264025China Computer Network Information Center Chinese Academy of SciencesBeijing 100190China Center for Agricultural Resources Research Institute of Genetics and Developmental BiologyChinese Academy of SciencesShijiazhuang 050022China State Key Laboratory of Plant Genomics Institute of Genetics and Developmental BiologyInnovation Academy for Seed DesignChinese Academy of SciencesBeijing 100101China College of Advanced Agricultural Sciences University of Chinese Academy of SciencesBeijing 100049China School of Computer Science and Technology University of Chinese Academy of SciencesBeijing 100049China CAS-JIC Centre of Excellence for Plant and Microbial Science Institute of Genetics and Developmental BiologyChinese Academy of SciencesBeijing 100101China Yazhou Bay Seed Laboratory of Hainan Province Sanya 572019China
Studying the regulatory mechanisms that drive nitrogen-use efficiency(NUE)in crops is important for sustainable agriculture and environmental *** this study,we generated a high-quality genome assembly for the high-NUE... 详细信息
来源: 评论
data-driven Quantum Dynamical Embedding Method for Long-term Prediction on Near-term Quantum Computers
arXiv
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arXiv 2023年
作者: Sun, Tai-Ping Chen, Zhao-Yun Xue, Cheng Liu, Huan-Yu Zhuang, Xi-Ning Wang, Yun-Jie Ma, Shi-Xin Zhang, Hai-Feng Wu, Yu-Chun Guo, Guo-Ping Key Laboratory of Quantum Information Chinese Academy of Sciences School of Physics University of Science and Technology of China Anhui Hefei230026 China CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Anhui Hefei230026 China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Anhui Hefei230088 China Origin Quantum Computing Anhui Hefei230026 China Institute of Advanced Technology University of Science and Technology of China Anhui Hefei230031 China National Innovation Institute of Defense Technology AMS Beijing100071 China
The increasing focus on long-term time series prediction across various fields has been significantly strengthened by advancements in quantum computation. In this paper, we introduce a data-driven method designed for ... 详细信息
来源: 评论
Task-Aware Dynamic Transformer for Efficient Arbitrary-Scale Image Super-Resolution
arXiv
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arXiv 2024年
作者: Xu, Tianyi Zhou, Yijie Hu, Xiaotao Zhang, Kai Zhang, Anran Qiu, Xingye Xu, Jun School of Statistics and Data Science Nankai University Tianjin China College of Computer Science Nankai University Tianjin China School of Intelligence Science and Technology Nanjing University Suzhou China Tencent Data Platform Beijing China Zhejiang University Hangzhou China Systems Engineering Research Institute China State Shipbuilding Corporation Limited Beijing China Guangdong Provincial Key Laboratory of Big Data Computing The Chinese University of Hong Kong Shenzhen China
Arbitrary-scale super-resolution (ASSR) aims to learn a single model for image super-resolution at arbitrary magnifying scales. Existing ASSR networks typically comprise an off-the-shelf scale-agnostic feature extract...
来源: 评论
Risk Modeling and Traceability of Boundary Attacks on Internet of Power Systems Based on Complex networks  9
Risk Modeling and Traceability of Boundary Attacks on Intern...
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9th IEEE International Conference on data science in Cyberspace, DSC 2024
作者: Li, Xin Qu, Zhaoyang Yu, Tong Xie, Ming Yu, Fu Ding, Wei Northeast Electric Power University School of Electrical Engineering Jilin132012 China People's Bank of China Qinghai Provincial Branch Xining810000 China China Southern Power Grid Guangxi Power Grid Co. Ltd. Research Institute Nanning530023 China China Guizhou Power Grid Co. Ltd. Bijie Power Supply Bureau Bijie551700 China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan250014 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan250014 China
With the increasing intelligence of power IoT terminal devices, the massive volume of data transmission, and the widespread adoption of shared services, traditional terminal boundary security mechanisms are unable to ... 详细信息
来源: 评论
SSCGAN: Speech style conversion based on GAN
SSCGAN: Speech style conversion based on GAN
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2022 International Conference on Algorithms, Microchips and network Applications
作者: Li, Jixing Guo, Xiaozhou Shen, Ronxuan Lu, Huaxiang Wang, Xinggang Cao, Zhanzhong Zhang, Chi Mao, Wenyu Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China Materials and Optoelectronics Research Center University of Chinese Academy of Sciences Beijing100083 China College of Microelectronics University of Chinese Academy of Sciences Beijing China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Shanghai200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Laboratory Beijing100083 China Nanjing Research Institute of Information Technology Nanjing210009 China
Speech conversion has significant applications in medical, robotics, and other industries. With the rise of deep learning, CycleGAN is widely used in speech conversion technology. However, the existing CycleGAN-based ... 详细信息
来源: 评论
A Multi-DOF Robot System Based on LightGBM-Driven EEG Decoding Model for BCI Human-Machine Interaction
A Multi-DOF Robot System Based on LightGBM-Driven EEG Decodi...
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Chinese Control Conference (CCC)
作者: Weidong Yan Zhaoliang Xu Yang Li The Department of Automation Science and Electrical Engineering Beihang University Beijing China The Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Advanced Institute of Information Technology Peking University Hangzhou China
In this study, a multi-degree-of-freedom (Multi-DOF) robot (MDR) system based on a LightGBM-driven electroencephalogram (EEG) decoding model is designed and developed to assist subjects with hand motor dysfunction in ...
来源: 评论
PGGAN: Improve Password Cover Rate Using the Controller
PGGAN: Improve Password Cover Rate Using the Controller
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2021 International Conference on Computer network Security and Software Engineering, CNSSE 2021
作者: Guo, Xiaozhou Liu, Yi Tan, Kaijun Jin, Min Lu, Huaxiang Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China Cas Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Beijing200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing100083 China
Password generation model based on generative adversarial network usually has the problem of high duplicate rate, which further leads to low cover rate. In this regard, we propose PGGAN model. It sets up an additional... 详细信息
来源: 评论
A Multi-Head Convolution network with Attention Consistency for Facial Expression Recognition
A Multi-Head Convolution Network with Attention Consistency ...
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Chinese Control Conference (CCC)
作者: Wenkang Liu Mingyi Sun Yang Li the Department of Automation Science and Electrical Engineering Beihang University Beijing China the Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Advanced Institute of Information Technology Peking University Hangzhou China
In recent years, the demand for facial expression recognition applications has increased rapidly, and its research has received extensive attention from researchers. However, the current recognition methods based on d...
来源: 评论
Sdgan: Improve Speech Enhancement Quality by Information Filter  6
Sdgan: Improve Speech Enhancement Quality by Information Fil...
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2021 6th International Symposium on Advances in Electrical, Electronics and Computer Engineering, ISAEECE 2021
作者: Guo, Xiaozhou Liu, Yi Mao, Wenyu Li, Jixing Li, Wenchang Gong, Guoliang Lu, Huaxiang Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of Sciences Beijing200031 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Lab Beijing100083 China
The speech denoising model based on adversarial generative network has achieved better results than the traditional machine learning model. In this paper, for the short cut connection in the generator, we discuss its ... 详细信息
来源: 评论