检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

18,583 篇 会议
112 篇 期刊文献
16 册 图书

馆藏范围

18,711 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

12,027 篇 工学
- 9,579 篇 计算机科学与技术...
- 5,513 篇 软件工程
- 3,078 篇 电气工程
- 2,966 篇 控制科学与工程
- 2,549 篇 信息与通信工程
- 955 篇 仪器科学与技术
- 932 篇 交通运输工程
- 929 篇 机械工程
- 641 篇 生物工程
- 630 篇 电子科学与技术（可...
- 556 篇 动力工程及工程热...
- 539 篇 生物医学工程（可授...
- 484 篇 安全科学与工程
- 421 篇 石油与天然气工程
- 420 篇 网络空间安全
- 257 篇 光学工程
3,020 篇 管理学
- 2,252 篇 管理科学与工程(可...
- 1,158 篇 图书情报与档案管...
- 861 篇 工商管理
2,982 篇 理学
- 1,547 篇 数学
- 786 篇 生物学
- 504 篇 统计学（可授理学、...
- 485 篇 物理学
- 392 篇 系统科学
- 391 篇 化学
648 篇 医学
- 505 篇 临床医学
- 440 篇 基础医学(可授医学...
- 291 篇 公共卫生与预防医...
325 篇 法学
- 271 篇 社会学
279 篇 经济学
- 274 篇 应用经济学
172 篇 教育学
150 篇 农学
33 篇 文学
31 篇 军事学
12 篇 艺术学

主题

1,144 篇 data acquisition
763 篇 data mining
571 篇 real-time system...
567 篇 data models
444 篇 intelligent syst...
421 篇 big data
420 篇 conferences
409 篇 cloud computing
375 篇 internet of thin...
359 篇 computational mo...
345 篇 monitoring
321 篇 computer archite...
319 篇 sensor systems
315 篇 machine learning
308 篇 deep learning
306 篇 control systems
304 篇 training
298 篇 feature extracti...
287 篇 robot sensing sy...
284 篇 neural networks

机构

49 篇 university of ch...
42 篇 lviv polytechnic...
30 篇 hubei key labora...
25 篇 school of comput...
20 篇 west ukrainian n...
18 篇 beijing key labo...
17 篇 shenzhen institu...
17 篇 chitkara univers...
16 篇 university of el...
15 篇 school of comput...
15 篇 institute of aut...
14 篇 faculty of compu...
14 篇 school of artifi...
14 篇 shenzhen institu...
14 篇 peng cheng labor...
13 篇 ieee
13 篇 college of compu...
12 篇 key laboratory o...
12 篇 beijing univ pos...
12 篇 yeshwantrao chav...

作者

25 篇 anatoliy sachenk...
22 篇 wu xinyu
18 篇 anatoly sachenko
16 篇 a. sachenko
16 篇 liu yang
16 篇 xiong gang
15 篇 chen chen
14 篇 sachenko anatoli...
12 篇 xinyu wu
12 篇 li yang
12 篇 yang yang
11 篇 zhang tao
11 篇 wang lei
11 篇 li peng
11 篇 li li
11 篇 kurosh madani
11 篇 sachenko a.
11 篇 wu bin
11 篇 iryna turchenko
11 篇 golovko vladimir

语言

18,146 篇 英文
498 篇 其他
81 篇 中文
2 篇 西班牙文

检索条件"任意字段=IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems"

共 18711 条记录，以下是351-360 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

A Robust Convolutional Neural Network for Electrical Impedance Tomography Image Reconstruction

A Robust Convolutional Neural Network for Electrical Impedan...

引用

ieee SSD international Multi-conference on systems, Signals and Devices

作者： Mariem Hafsa Kailun Lin Najoua Essoukri Ben Amara Olfa Kanoun Ecole Nationale d'Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Sousse Tunisie Professorship of Measurement and Sensor Technology Technische Universität Chemnitz Chemnitz Germany Department of Mechanical Engineering Technische Universität Chemnitz Chemnitz Germany

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

Electrical Impedance Tomography (EIT) is a widely used non-invasive imaging method in a variety of application fields. Most EIT applications require an accurate and high-quality reconstructed inner conductivity distribution image. Several solutions have been developed for reliable EIT image reconstruction, but they still suffer from limitations such as low spatial resolution and inconsistency in real measurement scenarios. In this paper, we propose using physically based, extensive simulation data to train a Convolutional Neural Network (CNN) model with 5-fold cross-validation. We generate a set of 10.000 data samples, which builds a comprehensive basis for its training and ensures reliability and generalization capability. The quantitative evaluation demonstrates good reconstruction performance, achieving a Mean Squared Error (MSE) of 0.0151 and an Image Correlation Coefficient (ICC) of 0.97 in the best-performing fold for the simulated data. The method's effectiveness is particularly validated through experimental measurements, where it significantly outperforms traditional Gauss-Newton reconstruction in terms of image sharpness and boundary definition. The algorithm is robust and easily applicable for EIT imaging.

关键词： Training Image quality Electrical impedance tomography Voltage measurement Impedance measurement Imaging Robustness Convolutional neural networks Spatial resolution Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

advanced Fault Sleuth System Architectures for Prognostic Anomaly Detection and Autonomous Irregularity Mitigation in intelligent Power Networks

Advanced Fault Sleuth System Architectures for Prognostic An...

引用

international conference on Communication systems and Network Technologies (CSNT)

作者： Biresh Kumar Arpit Anurag Sanyam Anand Ritesh Kumar Kamaldeep Gupta Binod Kumar Sharma Amity Inst. of Information Technology Amity University Ranchi Jharkhand India Cambridge Institute Of Technology Tatisilwai Ranchi Jharkhand India St. Xavier’s College Ranchi Jharkhand India Dept. of Computer Sci. & Engg. BIT Mesra Ranchi Jharkhand India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

Revenue losses, inconsistent service, delayed problem detection, and electricity theft are just a few of the major issues that power distribution networks deal with. The suggested Fault Sleuth System makes use of Internet of Things (IoT) technologies to facilitate remote system control, automatic anomaly detection, and real-time electrical parameter monitoring. The technology guarantees accurate fault localization and proactive theft prevention by combining sophisticated data analytics and feature extraction techniques. The technology greatly lowers maintenance costs and security threats while improving operating efficiency through thorough data collecting, preprocessing, and intelligent analysis. In addition to improving problem detection and theft mitigation, this strategy also raises customer happiness, power quality, and service reliability. The study's conclusions show how the Fault Sleuth System can revolutionize the way that important power distribution issues are handled. This technology opens the door for a more robust, safe, and effective energy infrastructure that can satisfy needs in the future by leveraging real-time analytics and state-of-the-art IoT technologies.

关键词： Accuracy Prevention and mitigation Fault detection Power distribution Real-time systems Smart grids Internet of Things Security Predictive analytics Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

An IoT Cloud Based Health Monitoring System for Remote Area Using Node MCU: E Health Checker

An IoT Cloud Based Health Monitoring System for Remote Area ...

引用

intelligent data Communication Technologies and Internet of Things (IDCIoT), international conference on

作者： B. Venkataramanaiah Sravan Kumar Chittimalla V Raveendra Reddy A. Vani Malokhat Saidmuratova Surayyo Khasanova P Vinayagam Department of ECE Vel Tech Rangarajan Dr.sagunthala R&D Institute of science and technology Chennai India Enliven Technologies Inc Texas United States Department of EEE Ramireddy Subbaramireddy Engineering College SPSR Nellore India Department of ECE Chaitanya Bharathi Institute of Technology Hyderabad India Department of Pedagogy and Psychology Urgench State University Urgench Uzbekistan Department of Psychology and Medicine Mamun University Khiva Uzbekistan Department of ECE Saveetha Engineering College Chennai India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

This research work introduces a real-time health monitoring system using IOT sensors and cloud integration for human health monitoring. The system leverages the Node MCU micro controller for its Wi-Fi capabilities., interfacing with sensors like DHT11 (for temperature and humidity)., HBR (for heart rate)., and SpO2 (for oxygen saturation). These sensors continuously gather health-related data., which is transmitted to the Thing Speak cloud platform for storage and analysis. The hardware setup involves connecting the Node MCU to the sensors for accurate data collection., while the firmware is programmed to handle real-time data acquisition and cloud communication. ThingSpeak is configured to receive and store the data, organizing it into custom channels for further analysis. Basic data processing algorithms are applied to filter out noise and detect trends in the collected health metrics. The system enables real-time visualization of health data and employs machine learning models to offer personalized healthcare insights. This framework facilitates proactive healthcare interventions., enhancing patient care and supporting chronic condition management. With continuous monitoring and cloud-based analysis, it provides a foundation for personalized treatment plans, improving the overall healthcare experience and people lives in rural areas will benefit.

关键词： Temperature sensors Cloud computing Machine learning algorithms Clouds Medical services Market research Real-time systems Sensor systems Sensors Monitoring

来源：评论

学校读者我要写书评

暂无评论

Adaptive Power Control with Improved Genetic Algorithm to Enhance QoS Performance in Vehicular Communication systems

Adaptive Power Control with Improved Genetic Algorithm to En...

引用

Integrated Circuits and Communication systems (ICICACS), ieee international conference on

作者： A. Aranganathan Dalia Al-Tarazi S. Bharath Durga Devi Jayant Giri S. Ravi Department of ECE Sathyabama Institute of Science and Technology Chennai India Department of Architecture Engineering Faculty of Engineering Zarqa University Zarqa Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia Department of ECE Rajalakshmi Institute of Technology Chennai India Department of CSE Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai India Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur India Division of Research and Development Lovely Professional University Phagwara India Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Background: Vehicular Ad hoc Networks (VANETs) play a crucial role in intelligent transportation systems since they enable vehicles to communicate instantaneously. Elevated mobility and dynamic settings create difficulties for dependable data transmission, resulting in longer delays and packet loss. Method used: An advanced Genetic Algorithm-based Vehicular Ad hoc Routing (AIGAV) model that leverages meta-heuristic optimization to enhance routing decisions in VANETs. It utilizes GPS for live navigation and modifies routes as required. This optimization reduces congestion and distributes network load more evenly for improved packet forwarding. Results: The AIGAV model exceeds the performance in crucial efficacy aspects. It enhanced data success rates (95.25%), remarkable throughput (521.41 Kbps), and minimal routing overhead (254.18 packets), and decreased data loss rates. Conclusion: The AIGAV model improves the efficiency of VANET routing through dependable and adaptable communication in mobile settings. It employs optimization to enhance safer, more intelligent transportation systems for upcoming uses.

关键词： Adaptation models Metaheuristics Vehicular ad hoc networks Routing Throughput Reliability Integrated circuit modeling Genetic algorithms Load modeling Global Positioning System

来源：评论

学校读者我要写书评

暂无评论

AI Regulation and Capitalist Growth: Balancing Innovation, Ethics, and Global Governance

AI Regulation and Capitalist Growth: Balancing Innovation, E...

引用

ieee international conference on Big data Security on Cloud (BigdataSecurity), High Performance and Smart computing (HPSC) and intelligent data and Security (IDS)

作者： Vikram Kulothungan Priya Ranjani Mohan Deepti Gupta Capitol Technology University Laurel Maryland USA Rutgers University NJ USA Dept. of Computer Information Systems Texas A&M University - Central Texas Texas USA

ISBN: (数字)9798331595104

ISBN: (纸本)9798331595111

Artificial Intelligence (AI) is increasingly central to economic growth, promising new efficiencies and markets. This economic significance has sparked debate over AI regulation: do rules and oversight bolster long term growth by building trust and safeguarding the public, or do they constrain innovation and free enterprise? This paper examines the balance between AI regulation and capitalist ideals, focusing on how different approaches to AI data privacy can impact innovation in AI-driven applications. The central question is whether AI regulation enhances or inhibits growth in a capitalist economy. Our analysis synthesizes historical precedents, the current U.S. regulatory landscape, economic projections, legal challenges, and case studies of recent AI policies. We discuss that carefully calibrated AI data privacy regulations—balancing innovation incentives with the public interest—can foster sustainable growth by building trust and ensuring responsible data use, while excessive regulation may risk stifling innovation and entrenching incumbents.

关键词： Economics Technological innovation data privacy Ethics Law Buildings Focusing Regulation Security Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

A Stackelberg Game-Based Real-Time Defense Strategy Against False data Injection Attacks 8th

A Stackelberg Game-Based Real-Time Defense Strategy Against ...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Wu, Lei Du, Dajun Xiao, Yang Zhu, Minggao Rakić, Aleksandar Shanghai Key Laboratory of Power Station Automation Technology School of Mechanical Engineering and Automation Shanghai University Shanghai200072 China School of Electrical Engineering University of Belgrade Belgrade11000 Serbia

ISBN: (纸本)9789819602933

When the transmitted control signals in the forward channel are maliciously tampered by false data injection attacks (FDIAs), their authenticity is destroyed, leading to networked control systems (NCSs) performance losses or even instability. This paper proposes a Stackelberg game-based real-time defense strategy against FDIAs. First, if the transmitted control signals are tampered and the cost function of the attacker is not leaked, the defender makes the best response only based on its own cost function during each control cycle. Second, considering these sequential asymmetric information interactions between the attacker and defender, Stackelberg game is employed to establish the optimization model including cost functions and constraints. Third, Stackelberg equilibrium of the established optimization model is solved by extremum-based optimal strategy algorithm to obtain real-time defense strategy, while asymptotic stability of the system is proved. Finally, the feasibility and effectiveness of the proposed defense strategy are confirmed. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Research on data Protection Method of Industrial Internet Based on Blockchain Technology 8th

Research on Data Protection Method of Industrial Internet ...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Xu, Man Sun, Anchi Shang, Tingting Wu, Hongjie School of Mathematical Sciences Suzhou University of Science and Technology Suzhou215009 China School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou215009 China

ISBN: (纸本)9789819602933

With the advancement of industrial Internet industry informatization construction, the protection of industrial production data privacy has become an urgent problem to be solved. Blockchain technology provides new ideas for industrial production security protection due to its unique features of decentralization, immutability, and traceability. Based on a comprehensive analysis of the privacy protection needs of industrial production, this research proposes a data privacy protection method for industrial Internet based on blockchain technology. This method uses asymmetric encryption algorithms to ensure data transmission security, and combines smart contracts to achieve precise control over data access, ensuring that only authorized users can decrypt and use specific industrial production. In addition, a multi-party authentication mechanism has been introduced, involving producers, suppliers, and data validators to enhance the transparency of data sharing. In the experiment, a simulated industrial Internet environment was constructed to test the security and efficiency of the proposed method. The results showed that there were no data leakage incidents under simulated attacks;In terms of data access efficiency, compared to traditional cloud storage solutions, the response time has been improved by about 20%, but it ensures higher data security. Research has confirmed that the industrial Internet production data privacy protection strategy based on blockchain technology combined with smart contracts can effectively resist multiple security threats. At the same time, this strategy can adapt to the application needs of industrial institutions of different sizes, and has extensive promotion value. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Blockchain for Safe Credential Checking in Hiring

Blockchain for Safe Credential Checking in Hiring

引用

intelligent Control, computing and Communications (IC3), international conference on

作者： Archana Mishra Kapesh Subhash Raghatate Department of CS & IT Kalinga University Raipur India

ISBN: (数字)9798331527495

ISBN: (纸本)9798331527501

These challenges were further amplified in recent years, causing recruitment processes to be more transparent in aspects like education, work experience, and professional verification. Traditional methods of validating credentials - contacting institutions or employers directly - can be time-consuming, mistake-prone and susceptible to fraud. Blockchain technology offers a solution that can assist in the digitization of credential verification, enabling employers to rapidly and securely verify a candidate's credentials. This paper explores blockchain use in talent acquisition and verification of credentials, highlighting its game-changing potential for the hiring process. Blockchain is a distributed and immutable digital ledger in which data cannot be altered once it has been entered, providing a high degree of trust and transparency. Blockchain technology enables educational institutions, employers and other credentialing bodies to issue verified digital credentials that are securely stored and can be easily presented to employers. One of the emerging trends is Verified CVs verified on blockchain based solutions, candidates can represent their validated qualifications on blockchain based solutions and employers can have instant access for any information regarding educational qualifications, certifications, experience regarding employments and skills related information. The blockchain based approach in the proposed credential verification process is because all the session information or credentials would be stored in a secured block so that respective academic institutions or bodies and their employers can verify using the cryptographic signatures as mentioned earlier. Each credential is identifiable and stored on the blockchain, which means that the record cannot be tampered with and can be verified from any interested party with valid access rights. As a result, they can also save time as smart contracts allow these individuals to execute the agreed-upon terms,

关键词： Privacy Prevention and mitigation Smart contracts Permission Real-time systems Blockchains Fraud Reliability Qualifications Recruitment

来源：评论

学校读者我要写书评

暂无评论

Real Time Traffic Light Timing Optimisation Using Reinforcement Learning

Real Time Traffic Light Timing Optimisation Using Reinforcem...

引用

ieee Students' conference on Electrical, Electronics and Computer Science (SCEECS)

作者： Clement Andrew A Shri Vaisalini L C K M. K. Kavitha Devi Department of Computer Science and Engineering Thigarajar College of Engineering Madurai

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

A major problem especially in urban areas is traffic congestion which causes increased travel times, pollution, and compromises safety. This paper presents the design of the Smart Traffic light timing Management System, optimized in real-time traffic light timings using reinforcement learning techniques. This system scans data from different sources, including vehicle count in a network and waiting time of the vehicle at a traffic stop, which are utilized to continuously to alter traffic signals based on current situations. Utilizing reinforcement learning algorithms, the system continuously learns and adapts to changing traffic scenarios, striving for minimal congestion. The simulations run in SUMO (Simulation of Urban Mobility) indicate a noticeable reduction in wait times and improved flow across roads. The results form the basis for the inclusion of advanced data analytics in traffic management: it represents an effective method of mitigating urban congestion problems. The study concludes that by leveraging real-time data and machine learning, the traditional traffic systems can be transformed into an intelligent responsive network, capable of enhancing the efficiency and safety of urban transportation.

关键词： Adaptation models Pollution Roads Urban areas Transportation Reinforcement learning Real-time systems Timing Safety Traffic congestion

来源：评论

学校读者我要写书评

暂无评论

1st international conference on computing and Emerging Technologies, ICCET 2023

1st International Conference on Computing and Emerging Techn...

引用

1st international conference on computing and Emerging Technologies, ICCET 2023

ISBN: (纸本)9783031776168

The proceedings contain 32 papers. The special focus in this conference is on computing and Emerging. The topics include: Automatic Invasive Ductal Carcinoma Detection Using Convolutional Neural Networks;intelligent Diagnosis and Assessment of Heart Patients Using Machine Learning;Automated Detection of COVID-19 Using Deep Convolutional Neural Network (CNNs) Using Chest Radiograph and CT Scan Images;development and Evaluation of Smartphones Interface for Elderly;cyber Physical systems Having Nodes/Layers with Trustworthy data: A Review;analysis of Device-To-Device Communication in Iot System;Extending WSN Lifetime with Cluster Head Election;Automatic HTP Assessment for Schizophrenic Patients Using Machine Learning;deep-Learning Based Multi-Modalities Fusion for the Detection of Brain-Related Diseases: A Review;human Activity Recognition Using Transformer Model;usability Impact of Conversational Chatbot;securing Drug Supply Chain with Medledger: A Blockchain Solution to Counterfeit and Hoarding Challenges;implementation of Authentic Resources for E-Learning in Education;securing Cyber-Physical systems by Using Artificial Intelligence;an Efficient Implementation of an IoT-Based Smart Home Security System;access and Secure Patient Medical Records Using Blockchain Technology Based Framework: A Review;subcellular Structures Classification in Fluorescence Microscopic Images;Bioelectric Signal acquisition and Design of Portable ECG for Medical Internet of Things Applications;classification of Cloud Attacks Using Deep Learning;facial Expression Recognition Using Convolution Neural Network;distinguishing Parkinsons Disease and Essential Tremors by Using Machine Learning;a Jurisprudence for Pakistan’s Digital Forensic Investigation Framework Regarding Cybersecurity;framework for Efficient Identification of Features Associated with Software Defects Using Spearman Correlation and Apriori Algorithm;segmentation of Brain Tumor Using U-Net Approach.

关键词：

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 32 33 34 35 36 37 38 39 40 41 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：