检索结果-内蒙古大学图书馆

SSRN 2024年

作者： Wu, Zhiguang Lu, Liang Bai, Shuang Shi, Jiaqi Zhang, Zhuotao Pan, Yunlu Wang, Wei Wu, Wenfeng Sun, Shoubin Li, Xu Hou, Gang Huang, Tianyun Jia, Yuxin Zuo, Kaiwen Granovsky, Alexander Wu, He Nikolai, Perov School of Medicine and Health Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China The First Affiliated Hospital of Harbin Medical University Harbin China National Center for Respiratory Medicine State Key Laboratory of Respiratory Health and Multimorbidity National Clinical Research Center for Respiratory Diseases Institute of Respiratory Medicine Chinese Academy of Medical Sciences Department of Pulmonary and Critical Care Medicine Center of Respiratory Medicine China-Japan Friendship Hospital Beijing China College of Science Sichuan Agricultural University Chengdu China The Fourth Affiliated Hospital of Harbin Medical University Harbin China Department of Ophthalmology The Second Hospital Jilin University Changchun China Department of Advanced Manufacturing and Robotics College of Engineering State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China Department of Mathematics Imperial College London United Kingdom Department of Computer Science University of Warwick Coventry United Kingdom Magnetism Department Faculty of Physics Lomonosov Moscow State University Moscow Russia Harbin Medical University China

Learning from natural bacteria flagellum, we demonstrate a magnetic polymer multilayer conical microrobot that bestow the controllable propulsion upon external rotating magnetic field with uniform intensity. The magnetic microrobots were constructed by template-assisted Layer-by-Layer technique technique and subsequent functionalization of magnetic particle onto the big opening of the microrobots. Geometric variables of the polymer microrobots, such as the diameter and wall thickness, can be controlled by selection of porous template and layers of assembly. The microrobots perform controllable propulsion through the manipulation of magnetic field. The comparative analysis of the movement behavior reveals that the deformation of microrobots may attributed to the propulsion upon rotating magnetic field, which is similar as that of natural bacteria. The influence of actuation frequencies and frequencies on the velocity of the microrobots is studied. Such use of polymer polymer multilayer tubular micro/nanoarchitectures results in significant savings in the processing costs and provides a simple and cost-effective fabrication route for the mass production of magnetic polymer microrobots. © 2024, The Authors. All rights reserved.

关键词： Bacteria

来源：评论

学校读者我要写书评

暂无评论

A multi-agent architecture for scheduling in platform-based smart manufacturing systems

引用

Frontiers of Information Technology & Electronic engineering 2019年第11期20卷 1465-1492页

作者： Yong-kui LIU Xue-song ZHANG Lin ZHANG Fei TAO Li-hui WANG Center for Intelligent Manufacturing Systems and Robots School of Mechano-Electronic EngineeringXidian UniversityXi'an 710071China College of Computer Science and Technology Jilin UniversityChangchun 130012China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Department of Production Engineering KTH Royal Institute of TechnologyStockholm 11428Sweden

During the past years, a number of smart manufacturing concepts have been proposed, such as cloud manufacturing, Industry 4.0, and Industrial Internet. One of their common aims is to optimize the collaborative resource configuration across enterprises by establishing platforms that aggregate distributed resources. In all of these concepts, a complete manufacturing system consists of distributed physical manufacturing systems and a platform containing the virtual manufacturing systems mapped from the physical ones. We call such manufacturing systems platform-based smart manufacturing systems (PSMSs). A PSMS can therefore be regarded as a huge cyber-physical system with the cyber part being the platform and the physical part being the corresponding physical manufacturing system. A significant issue for a PSMS is how to optimally schedule the aggregated resources. Multi-agent technology provides an effective approach for solving this issue. In this paper we propose a multi-agent architecture for scheduling in PSMSs, which consists of a platform-level scheduling multi-agent system (MAS) and an enterprise-level scheduling MAS. Procedures, characteristics, and requirements of scheduling in PSMSs are presented. A model for sched-uling in a PSMS based on the architecture is proposed. A case study is conducted to demonstrate the effectiveness of the proposed architecture and model.

关键词： Platform Smart manufacturing Multi-agent Scheduling

来源：评论

学校读者我要写书评

暂无评论

Development of an Artificial Intelligence-Based Early Diagnostic System for Light-Chain Amyloidosis

SSRN

引用

SSRN 2025年

作者： Yan, Wei He, Tao Xu, Haoze Chen, Jianmin Liu, Xiaoyu He, Xiaowei Jiang, Puming Zhong, Liye Li, Yan Sun, Chunyan Wang, Xiaobo Gao, Li Jin, Fengyan Li, Bingzong Li, Chunrui Chen, Zhuo Liao, Aijun Yang, Wei Li, Jian Wen, Yingyou Chen, Jian Wang, Huihan Department of Hematology Shengjing hospital China Medical University Shenyang China China Neusoft Research Institute Northeastern University Shenyang China Neusoft Corporation Shenyang China School of Computer Science and Engineering Northeastern University Shenyang China Department of Engineering University of Cambridge CambridgeCB2 1PZ United Kingdom Department of Hematology Guangdong Provincial People’s Hospital Guangdong Academy of Medical Sciences Guangzhou China Department of Hematology The People’s Hospital of Xinjiang Uygur Autonomous Region Urumqi China Department of Hematology Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China Department of Hematology The Second Affiliated Hospital of Dalian Medical University Dalian China Medical Center of Hematology Xinqiao Hospital State Key Laboratory of Trauma Burn and Combined Injury Army Medical University Chongqing China Department of Hematology Cancer Center the First Hospital of Jilin University Changchun China Department of Hematology The Second Affiliated Hospital of Soochow University Suzhou China Department of Hematology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China Department of Hematology The fourth Affiliated Hospital of China Medical University Shenyang China Department of Hematology Peking Union Medical College Hospital Chinese Academy of Medical Sciences Peking Union Medical College Beijing China

This study aimed to develop an artificial intelligence (AI)-based diagnostic assistance system to improve the early diagnosis of AL amyloidosis. Through cooperation with 18 hospitals in the Chinese Registration Network for Light-chain Amyloidosis, 1,355 patients with AL amyloidosis were registered. Ten variables that are easily monitored in clinics, including age, cardiac troponin I (cTnl), N-terminal prohormone B-type natriuretic peptide (NT-ProBNP), creatinine (Crea), albumin (ALB), total bilirubin (Tbil), alkaline phosphatase (ALP), interventricular septum (IVS), left ventricular posterior wall (LVPW), and ejection fraction (EF), were selected. An early assistant diagnostic model of AL amyloidosis was established using gradient boosting decision tree (GBDT), support vector machine (SVM), random forest (RF), and ensemble learning models. The ensemble learning model was considered to have the best performance in the external validation set based on its highest F1 value (0.94). Performance comparisons between the AI-based early diagnostic assistance model and physicians suggested that the diagnostic accuracy of the AI model (0.95,95%CI: 0.92~0.98;P © 2025, The Authors. All rights reserved.

关键词： Creatinine

来源：评论

学校读者我要写书评

暂无评论

Task scheduling algorithm based on Virtual machine availability awareness in cloud platform

引用

Journal of engineering science and Technology Review 2018年第5期11卷 161-169页

作者： Li, Zhixin Liu, Lei Tong, Zeyu College of Computer Science and Technology Jilin University Changchun130012 China School of Computer Technology and Engineering Changchun Institute Of Technology Changchun130012 China Department of Applied Mathematics and Statistics Johns Hopkins University Baltimore21218 United States

Virtual machine (VM) availability awareness is a key task scheduling technology in a cloud platform. However, the dynamic change and uncertainty of VM availability constitute difficulties for task scheduling, and quality requirements of task services cannot be satisfied and thus seriously affect the task scheduling capacity of the cloud platform. A task scheduling algorithm based on VM availability awareness was proposed to solve the unmatching problem between VM availability and quality of service (QoS) to improve task scheduling capacity of VMs. This algorithm combined available task processing capacities of VMs and task requirement features to establish a differential entropy model between VM availability and task availability requirement. Task availability matching and scheduling was realized through the principle of maximum entropy, and task scheduling was optimized from the aspect of balance of server workloads. Finally, a comparative verification between the task scheduling algorithm and Random and Minmin algorithms was implemented. Results demonstrate that through the task scheduling algorithm based on VM availability awareness, the task execution speed of VMs is higher than those of Random and Minmin algorithms by 28% and 6%, respectively. Therefore, task execution speed of the cloud platform is significantly elevated, and server workloads are more balanced than those in Random and Minmin algorithms. Within the same time, QoS satisfaction rate is higher than those of Random and Minmin algorithms by 10% and 2%, respectively. QoS task requirement is satisfied while task completion time is reduced. This study concludes that the VM availability awareness method satisfies the task requirements and improves task processing performance of the VM in the cloud platform. Relevant conclusions can provide technical support for task scheduling of the VM in the cloud platform. © 2018 Eastern Macedonia and Thrace institute of Technology.

关键词： Virtual machine

来源：评论

学校读者我要写书评

暂无评论

A constraint-based model for virtual machine data access control in cloud platform 4th

A constraint-based model for virtual machine data access con...

引用

4th International Conference of Pioneer computer Scientists, Engineers and Educators, ICPCSEE 2018

作者： Li, Zhixin Liu, Lei Wang, Xin College of Computer Science and Technology Jilin University Changchun130012 China School of Computer Technology and Engineering Changchun Institute of Technology Changchun130012 China

ISBN: (纸本)9789811322020

Virtual machine (VM) data access control provides a cloud-computing platform with guaranteed safety. Given that the cloud platform environment is dynamically variable, static VM data access operational authorization is different from the dynamic cloud platform environment in state determination. This difference affects the safety and performance of VMs in the entire cloud platform. A constraint-based VM data access control model was proposed in this study to evaluate the influence of dynamic environmental change in a cloud platform on VM data access control operation. The state information of the dynamic cloud environment was considered a constraint evaluation function. The model realized organic integration of static Bell–LaPadula model safety level and dynamic cloud platform environmental information. A safety policy of VM data access control operation was established, and the capability of the constraint-based access control model to improve the safety of VMs was verified. A model implementation framework and the main functions in combination with the proposed model were realized. The effectiveness and performance of the constraint-based VM data access control model were also evaluated. Results showed that the performance loss was within 7% when the constrained VM data access control model was used for operations, such as VM management. The test of communication intensive workload of a VM indicated that the operating time of the model was increased by approximately 4%. The constraint-based VM data access control model in cloud platform could adapt to the complex dynamic cloud platform environment and improve the safety of VMs. This study provided technical and theoretical bases for VM data access control in cloud platform. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Virtual machine

来源：评论

学校读者我要写书评

暂无评论

AGV Navigation Based on AprilTags2 Auxiliary Positioning 12

AGV Navigation Based on AprilTags2 Auxiliary Positioning

引用

12th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2019

作者： Wang, Yunyun Liu, Shaojin Wang, Lianming Huang, Jipeng Institute of computational intelligence Northeast Normal University Changchun Jilin130024 China School of Electrical and Computer Engineering Purdue University West Lafayette United States School of Ocean Science and Technology Hainan Tropical Ocean University Hainan Sanya572022 China

ISBN: (纸本)9781728148526

Aiming at the problems of poor flexibility, complicated path maintenance and poor positioning performance in the current guidance technology of AGV, this paper designs and implements a new navigation system of automated guided vehicle (AGV) based on AprilTags2 auxiliary positioning. The system uses the Robot Operating System (ROS) as a platform to develop AGV navigation functions. The navigation system comprises two parts: the hardware and software layers. Firstly, hardware selection is performed after considering the actual requirements, performance, cost, and other factors in the hardware layer. Simultaneously, the AGV chassis and single-steering wheel walking mechanism are built to provide a stable and flexible operating platform for the software layer. Secondly, the software layer design includes two parts, namely the ROS navigation planning end and AprilTags2 detection. The ROS planning navigation end performs the design of four functional modules (i.e., AGV map construction, autonomous positioning, path planning, and path tracking), while the AprilTags2 detection part obtains the visual positioning pose of AGV by setting the AprilTags2 on each site and using the Kinect1 camera to detect. A more accurate AGV pose can be obtained by merging the former pose with the kinematic estimated pose. Finally, the two groups of positioning errors of the system before and after adding the AprilTags2 auxiliary positioning are tested and compared. The experimental results show that the navigation accuracy of the proposed system with AprilTags2 auxiliary positioning is significantly improved. © 2019 IEEE.

关键词： Robot Operating System

来源：评论

学校读者我要写书评

暂无评论

lMFF: Efficient and Scalable layered Materials Force Field on Heterogeneous Many-Core Processors

lMFF: Efficient and Scalable layered Materials Force Field o...

引用

Supercomputing Conference

作者： Ping Gao Xiaohui Duan Jiaxu Guo Jin Wang Zhenya Song Lizhen Cui Xiangxu Meng Xin Liu Wusheng Zhang Ming Ma Guohui Li Dexun Chen Haohuan Fu Wei Xue Weiguo Liu Guangwen Yang School of Software Shandong University Jinan China National Supercomputing Center in Wuxi Wuxi China Department of Computer Science and Technology Tsinghua University Beijing China College of Computer Science and Technology Jilin University Changchun China Department of Engineering Mechanics Center for Nano and Micro Mechanics Tsinghua University Beijing China Ministry of Natural Resources First Institute of Oceanography and Key Laboratory of Marine Science and Numerical Modeling Qingdao China Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR) Jinan China Engineering Research Center of Digital Media Technology Ministry of Education Jinan China Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China Department of Earth System Science Ministry of Education Key Lab for Earth System Modeling Tsinghua University Beijing China

ISBN: (数字)9781450384421

ISBN: (纸本)9781665483902

LAMMPS is one of the most popular Molecular Dynamic (MD) packages and is widely used in the field of physics, chemistry and materials simulation. Layered Materials Force Field (LMFF) is our expansion of the LAMMPS potential function based on the Tersoff potential and inter-layer potential (ILP) in LAMMPS. LMFF is designed to study layered materials such as graphene and boron hexanitride. It is universal and does not depend on any platform. We have also carried out a series of optimizations on LMFF and the optimization work is carried out on the new generation of Sunway supercomputer, called SWLMFF. Experiments show that our implementation is efficient, scalable and portable. When generic LMFF is ported to Intel Xeon Gold 6278C, $2\times$ performance improvement is achieved. For the optimized SWLMFF, the overall performance improvement is nearly $200-330\times$ compared to the original ILP and Tersoff potentials. And SWLMFF has good parallel efficiency of 95%-100% under weak scaling with 2.7 million atoms on a single process. The maximum atomic system simulated by SWLMFF is close to $2^{31}$ atoms. And nanosecond simulations in one day can be realized.

关键词： Program processors Atomic layer deposition High performance computing Force Graphene Supercomputers Optimization

来源：评论

学校读者我要写书评

暂无评论

CEPC Technical Design Report

引用

Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi Ling-Yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

来源：评论

学校读者我要写书评

暂无评论

Maximum lifetime optimized collaboration of data and energy routing in VANET

Maximum lifetime optimized collaboration of data and energy ...

引用

2019 International Conference on Virtual Reality and Intelligent Systems, ICVRIS 2019

作者： Hu, Ming Chen, Hanlin Hu, Jiejun Yan, Hui Yu, Ping Dept. Jilin Prov. SandT Innov. Ctr. for Phys. Simulat. and Secty. of Water Rsrc. and Elec. Pwr. Eng. Changchun Institute of Technology Changchun130012 China College of Computer Science and Technology Changchun University of Technology Changchun130012 China School of Computer Sciences and Electrical Engineering University of Essex ColchesterCO4 3SQ United Kingdom

ISBN: (纸本)9781728150505

The roadside units (RSUs) based on traditional grid has high carbon footprint and high deployment cost in vehicle dedicated network. An ideal green alternative has become an important issue in Vehicular Ad-Hoc Networks (VANETs). In this paper, we propose a novel framework of energy harvesting and cooperation to maximize the life cycle in VENETs. In this VANET scenario, the RSU node can harvest energy from the nature and also receive down steam vehicle energy dispatch to maintain the energy needed for data transmission, may transfers a portion of obtained energies by RSU nodes to the neighboring RSU nodes through energy cooperation. Each vehicle can access the RSU in two ways: 1) direct delivery when the vehicle is within the transmission range of the RSU;2) multi-hop relay when the vehicle is not within the transmission range of the RSU. By analysing the data rate, transmission power and energy transmission, we solve the problem of maximum network life cycle in the conservation law of energy and traffic. We consider involving energy constraints and data transmission joint problem, we optimize each RUS nodes energy management over vehicular outgoing data links and its energy transfers to neighboring RSU nodes. For this case, with no energy cooperation, we show that each RSU node should allocate more power to links with more noise and/or more data flow. In addition, when there is energy cooperation, our numerical results indicate that the energy is routed from nodes with higher energy to nodes with lower energy. Simulation results show that energy and data routing cooperation in VANET strategy can effectively improve the network life cycle. © 2019 IEEE.

关键词： Energy harvesting

来源：评论

学校读者我要写书评

暂无评论

En route for molecular dynamics simulation of a living cell

引用

Fundamental Research 2022年

作者： Yibo Wang Cong Zhang Ke Tang Xiaohui Wang Laboratory of Chemical Biology Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun Jilin 130022 China State Key Laboratory of Natural and Biomimetic Drugs Peking University Beijing China School of Applied Chemistry and Engineering University of Science and Technology of China Hefei Anhui 230026 China Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Beijing National Laboratory for Molecular Sciences Beijing 100190 China

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：