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

1,692 篇 会议
1,222 篇 期刊文献
18 册 图书

馆藏范围

2,932 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,599 篇 工学
- 1,042 篇 计算机科学与技术...
- 838 篇 软件工程
- 319 篇 信息与通信工程
- 254 篇 控制科学与工程
- 221 篇 核科学与技术
- 160 篇 电气工程
- 153 篇 生物工程
- 128 篇 生物医学工程（可授...
- 118 篇 电子科学与技术（可...
- 116 篇 网络空间安全
- 98 篇 仪器科学与技术
- 93 篇 安全科学与工程
- 92 篇 机械工程
- 87 篇 光学工程
- 76 篇 动力工程及工程热...
1,129 篇 理学
- 573 篇 物理学
- 390 篇 数学
- 187 篇 生物学
- 122 篇 统计学（可授理学、...
- 78 篇 化学
- 72 篇 天文学
480 篇 管理学
- 337 篇 管理科学与工程(可...
- 188 篇 工商管理
- 163 篇 图书情报与档案管...
187 篇 医学
- 141 篇 临床医学
- 118 篇 基础医学(可授医学...
- 101 篇 公共卫生与预防医...
114 篇 法学
- 97 篇 社会学
87 篇 教育学
- 79 篇 教育学
71 篇 经济学
- 71 篇 应用经济学
61 篇 农学
20 篇 文学
6 篇 军事学
1 篇 哲学

主题

106 篇 accuracy
100 篇 deep learning
96 篇 machine learning
64 篇 training
61 篇 internet of thin...
60 篇 real-time system...
55 篇 feature extracti...
53 篇 computational mo...
47 篇 predictive model...
47 篇 hadron colliders
43 篇 optimization
42 篇 machine learning...
41 篇 cloud computing
40 篇 artificial intel...
39 篇 data models
38 篇 computer science
38 篇 technological in...
37 篇 security
37 篇 students
37 篇 convolutional ne...

机构

364 篇 department for p...
342 篇 institute of phy...
325 篇 institute of phy...
301 篇 faculty of scien...
292 篇 department of ph...
289 篇 department of ph...
281 篇 department of ph...
280 篇 kirchhoff-instit...
274 篇 department of ph...
272 篇 department of ph...
260 篇 graduate school ...
255 篇 department of ph...
254 篇 department of ph...
252 篇 marian smoluchow...
251 篇 instituto de fís...
244 篇 fakultät für phy...
242 篇 west university ...
239 篇 departamento de ...
231 篇 dipartimento di ...
231 篇 universidade fed...

作者

240 篇 c. alexa
240 篇 c. amelung
238 篇 g. bella
238 篇 d. calvet
236 篇 j. strandberg
235 篇 j. m. izen
235 篇 y. tayalati
235 篇 v. chiarella
235 篇 f. siegert
234 篇 n. orlando
234 篇 g. spigo
229 篇 y. abulaiti
228 篇 r. ströhmer
228 篇 m. rijssenbeek
228 篇 s. jin
228 篇 g. gaudio
226 篇 m. klein
226 篇 s. mohapatra
226 篇 i. van vulpen
225 篇 f. deliot

语言

2,486 篇 英文
429 篇 其他
24 篇 中文
1 篇 德文
1 篇 法文
1 篇 斯洛文尼亚文

检索条件"机构=Department of Computer Technologies in Management and Education and Computer Science"

共 2932 条记录，以下是381-390 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：

Waste management System using IoT for Sustainable Cities 2

Waste Management System using IoT for Sustainable Cities

引用

2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023

作者： Anand, J. Elangovan, Vetrimani Muthukumar, V. Chandrasekar, T. Srm Valliammai Engineering College Department of Management Studies Tamil Nadu Chennai India Presidency University Department of Computer Science and Engineering Karnataka Bangalore India Sri Sairam Engineering College Department of Management Studies Tamilnadu Chennai India Kalasalingam Academy of Research and Education Kalasalingam Business School Department of Business Administration Tamilnadu Srivilliputhur India

ISBN: (纸本)9798350325799

The waste management system is an innovative system that leverages Internet of Things (IoT) technologies to monitor and manage waste disposal processes. The system uses various sensors such as ultrasonic, infrared, weight sensors, and camera modules to detect the fill level of waste bins. A cloud server is a central platform that enables remote access to data collected by the sensors data in the waste bins and waste collection truck driver. The data is transmitted to the cloud server using wireless communication technologies such as WiFi. Waste management personnel can access the data remotely through a web-based interface or mobile application, which enables real-time monitoring and analysis of the waste management processes. Integrating sensors with IoT technologies provides a powerful solution for addressing waste management challenges and promoting environmental sustainability. Additionally, the system can analyze the waste composition and generate insights to support effective waste reduction strategies. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Algorithms for the Prediction of Renal Failure: A Case Study from Tanzania's Muhimbili National Hospital 1

Deep Learning Algorithms for the Prediction of Renal Failure...

引用

1st International Conference on the Advancements of Artificial Intelligence in African Context, AAIAC 2023

作者： Fihavango, Titus Igira, Faraja Talawa, Neema Phillip, Shukrani Kadir Has Univerisity Department of Molecular Biology and Genetics Istanbul Turkey The Institute of Finance Management Department of Computer Science Dar es Salaam Tanzania United Republic of College of Business Education Department of Information Communication Technology and Mathematics Dodoma Tanzania United Republic of Mbeya University of Science and Technology Department of Medical Science and Technology Mbeya Tanzania United Republic of

ISBN: (纸本)9798350330137

Renal failure occurs when kidney function fails, and the nephron is the major engine for renal function. Patients fail to detect kidney disease in its early stages, leaving them with just two options: kidney transplantation or renal dialysis, both of which are excessively expensive, with dialysis costing roughly 27,440 USD per year and kidney transplants costing 45,000 USD. As a result, developing the framework for the decision support system will aid doctors in reaching the study's goal. This study proposes that Deep learning be used to predict renal failure before it proceeds to the chronic stage. The data set was given by Tanzania's Muhimbili National Hospital. The framework predictor of renal failure was determined using six machine learning techniques (Logistic Regression, Linear Discriminant Analysis, K-Neighbors Classifier, Decision Tree Classifier, Gaussian Naive Bayes, and Support Vector Machine). The best performance was reported to be a Gaussian Naive Bayes and Decision Tree classifier with 100% accuracy, followed by a Support Vector Machine and Logistic Regression with 98.6% accuracy. Cross-validation, confusion matrix, and receiver operating characteristics were also used to evaluate the framework. The precision measurements, recall measures, and f1-score scores serve as the foundation for the renal failure framework's 100% accuracy performance. We proposed that Gaussian Naive Bayes and Decision Tree classifiers be used to predict renal failure. © 2023 IEEE.

关键词： Discriminant analysis

来源：评论

学校读者我要写书评

暂无评论

A Review on Optimality Investigation Strategies for the Balanced Assignment Problem

A Review on Optimality Investigation Strategies for the Bala...

引用

2023 International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2023

作者： Dutta, Anurag Lakshmanan, K. Ramamoorthy, A. Voumik, Liton Chandra Harshith, John Motha, John Pravin Government College of Engineering & Textile Technology Department of Computer Science and Engineering Serampore Calcutta India Kuwait American School of Education Department of Mathematics Salmiya Hawalli Kuwait Velammal Engineering College Anna University Department of Mathematics Tamil Nadu Chennai India Noakhali Science and Technology University Department of Economics Noakhali Bangladesh Vellore Institute of Technology University Department of Computer Science Tamil Nadu Vellore India School of Management Studies Reva University Yelahanka Karnataka Bengaluru India

ISBN: (纸本)9798350323917

Mathematical Selection is a method in which we select a particular choice from a set of such. It have always been an interesting field of study for mathematicians. Accordingly, Combinatorial Optimization is a sub field of this domain of Mathematical Selection, where we generally, deal with prob-lems subjecting to Operation Research, Artificial Intelligence and many more promising domains. In a broader sense, an optimization problem entails maximising or minimising a real function by systematically selecting input values from within an allowed set and computing the function's value. A broad region of applied mathematics is the generalisation of metaheuristic theory and methods to other formulations. More broadly, optimization entails determining the finest virtues of some fitness function, offered a fixed space, which may include a variety of distinct types of decision variables and contexts. In this work, we will be working on the famous Balanced Assignment Problem, and will propose a comparative analysis on the Complexity Metrics of Computational Time for different Notions of solving the Balanced Assignment Problem. © 2023 IEEE.

关键词： Combinatorial optimization

来源：评论

学校读者我要写书评

暂无评论

A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (Extended Abstract) 39

A Survey on Modern Deep Neural Network for Traffic Predictio...

引用

39th IEEE International Conference on Data Engineering, ICDE 2023

作者： Tedjopurnomo, David Alexander Bao, Zhifeng Zheng, Baihua Choudhury, Farhana Murtaza Qin, A.K. Rmit University School of Computing Technologies Australia Singapore Management University School of Computing and Information Systems Singapore The University of Melbourne School of Computing and Information Systems Australia Swinburne University of Technology Department of Computer Science and Software Engineering Australia

ISBN: (纸本)9798350322279

In this modern era, traffic congestion has become a major source of negative economic and environmental impact for urban areas worldwide. One of the most efficient ways to mitigate this issue is through traffic prediction. This research field has evolved greatly ever since its inception in the late 70s. Recently, deep neural network models have gained popularity thanks to its predictive power, but despite this, literature surveys of such methods are rare;making it difficult to ascertain the progress of this research field. In this work, we address this issue by presenting an up-to-date survey of deep neural network for traffic prediction. We provide detailed explanations of popular deep neural network architectures used in the traffic flow prediction literatures, categorize and describe the literatures themselves, present an overview of the commonalities and differences among different works, and finally provide a discussion regarding the challenges and future directions for this field. © 2023 IEEE.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

FAMOS: robust privacy-preserving authentication on payment apps via federated multi-modal contrastive learning 24

FAMOS: robust privacy-preserving authentication on payment a...

引用

Proceedings of the 33rd USENIX Conference on Security Symposium

作者： Yifeng Cai Ziqi Zhang Jiaping Gui Bingyan Liu Xiaoke Zhao Ruoyu Li Zhe Li Ding Li Key Laboratory of High Confidence Software Technologies (PKU) Ministry of Education and School of Computer Science Peking University Department of Computer Science University of Illinois Urbana-Champaign School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University School of Computer Science Beijing University of Posts and Telecommunications Ant Group

ISBN: (纸本)9781939133441

The rise of mobile payment apps necessitates robust user authentication to ensure legitimate user access. Traditional methods, like passwords and biometrics, are vulnerable once a device is compromised. To overcome these limitations, modern solutions utilize sensor data to achieve user-agnostic and scalable behavioral authentication. However, existing solutions face two problems when deployed to real-world applications. First, it is not robust to noisy background activities. Second, it faces the risks of privacy leakage as it relies on centralized training with users' sensor *** this paper, we introduce FAMOS, a novel authentication framework based on federated multi-modal contrastive learning. The intuition of FAMOS is to fuse multi-modal sensor data and cluster the representation of one user's data by the action category so that we can eliminate the influence of background noise and guarantee the user's privacy. Furthermore, we incorporate FAMOS with federated learning to enhance performance while protecting users' privacy. We comprehensively evaluate FAMOS using real-world datasets and devices. Experimental results show that FAMOS is efficient and accurate for real-world deployment. FAMOS has an F1-Score of 0.91 and an AUC of 0.97, which are 42.19% and 27.63% higher than the baselines, respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Assessing the Validity of Automated Data Analysis Methods Based on Artificial Intelligence 3

Assessing the Validity of Automated Data Analysis Methods Ba...

引用

3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Yuvaraj, K. Balakumar, P. Kadam, Prema S. Mishra, Prakash Raja Kumar, Jambi Ratna Verma, Anupama Karpagam Academy of Higher Education Department of Computer Science Coimbatore India Prince Shri Venkateshwara Padmavathy Engineering College Department of Information Technology Chennai India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India Mangalayatan University Department of Management Jabalpur India Genba Sopanrao Moze College of Engineering Balewadi Department of Computer Engineering Maharashtra Pune India Usha Martin University Faculty of Business Mangagement & Commerce Ranchi India

ISBN: (纸本)9798350319125

Automated records analysis strategies primarily based on artificial intelligence (AI) have become increasingly famous in recent years because of their capability to quickly and effectively method enormous quantities of facts. However, concerns about the validity of those methods and their potential for introducing bias or mistakes have been raised. This study aims to assess the validity of automatic facts evaluation methods based on AI. It entails evaluating those methods' accuracy, reliability, and consistency compared to conventional guide evaluation methods. An expansion of study methods may be used, which includes experimental research, case research, and surveys. Facts will be gathered from computerized AI techniques and manual strategies, after which they will be compared and evaluated to decide the extent of agreement between them. One capability mission in this research is the dearth of a gold standard for statistics analysis. Unlike in medical fields wherein there may be a clean popular for prognosis, information analysis methods can also vary depending on the unique dataset and research question. Expanding a hard and fast of criteria or metrics for evaluating the validity of different AI techniques is essential. Another challenge is the rapidly evolving nature of the AI era. As new techniques and algorithms constantly evolve, keeping up with modern-day improvements and their potential impact on records analysis could be challenging. © 2023 IEEE.

关键词： evolved mission modern potential research

来源：评论

学校读者我要写书评

暂无评论

Accurate Click Fraud Rapid Detection of AD Requests for Smartphone Platforms 2

Accurate Click Fraud Rapid Detection of AD Requests for Smar...

引用

2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023

作者： Justin Sophia, I. Meganathan, R. Dhanasakkaravarthi, B. Kumar, S. Satheesh Mishra, Abhishek Loyola College Department of Computer Science Tamil Nadu Chennai600044 India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Vaddeswaram522302 India Agni College of Technology Department of Mechanical Engineering Tamil Nadu Chennai600130 India Panimalar Engineering College Department of Master of Business Administration Tamil Nadu Chennai600123 India Graphic Era Deemed to Be University Department of Management Studies Uttarakhand Dehradun248002 India

ISBN: (纸本)9781665456302

The main objective of this work is to develop a system for detecting fraudulent clicks in the context of EyeSee activity. EyeSee is characterized by being a provider of innovative advertising formats and digital solutions. There are several reasons why ad networks and advertisers want new ways to analyze the traffic produced by ad clicks: advertisers are scammed, incorrect statistics, lost customers and boosting a parallel economy. The most common way that ad clicks are analyzed is through cookies and IP addresses. Cookies are related to authentication, unfortunately they are susceptible to attacks such as Session hijacking. Through the IP address it also becomes complicated, since there are distributed attacks in which several machines are used (botnet) to produce the click fraud attack. Even if an IP is blocked from a distributed attack, the other machines continue to reproduce the attack. In order to apply a solution, a click fraud detection system capable of identifying the veracity of a click was created. This system will be able to test the browser and validate user behavior. © 2023 IEEE.

关键词： Crime

来源：评论

学校读者我要写书评

暂无评论

Development of Remote Laboratory System with Multi-degree Viewing Access in Support for Distance Learning Initiative 7th

Development of Remote Laboratory System with Multi-degree Vi...

引用

7th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2021

作者： MohdZubir, Mohd Nashrul Mahmud, Faisal Hakeem Azman, Azfar Yazed Ahmad, Mohd Obaidellah, Unaizah Abdullah, Zuraidah Adib Kadri, Nahrizul Ahmad, Norhafizan Ali, Mohammed A. H. Department of Mechanical Engineering Faculty of Engineering Universiti Malaya Kuala Lumpur Malaysia Faculty of Computer Science and Technology Universiti Malaya Kuala Lumpur Malaysia Department of Biomedical Engineering Faculty of Engineering Universiti Malaya Kuala Lumpur Malaysia Department of Artificial Intelligence Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia Department of Educational Management Planning and Policy Faculty of Education Universiti Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9789811933066

The project highlights the work on establishing a remote laboratory system that can be operated via the web as part of the effort to support online distance learning programs. To achieve this objective, integration of the hardware, software, and network communication modules was performed, enabling real-time remote access and interaction between the user and the remote infrastructure. The entire system was locally developed which requires linking between a web application software and server software to ensure uninterrupted online communication during the remote activities. The physical interaction within the lab was realized via human interface machine and microcontroller which translate the command given by the user from the web into set of instructions to control and operate the lab. The current prototype has solved the persisting challenges in implementing web-based remote control systems namely data lagging and false data acquisition via the use of server systems and data transfer algorithms. This strategy ensures data integrity and reliability to be displayed to the user in real-time. A new robotic viewing system has been developed and incorporated within the laboratory infrastructure. This new feature allows more freedom in coordinating user viewing flexibility which is crucial in capturing and mimicking the user presence in the lab and during the experimental conduct. The above results provide welcoming perception on the impact of implementing remote labs as part of the continuous efforts to liberate the education platform and promote education without boundaries. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Application programs

来源：评论

学校读者我要写书评

暂无评论

Interoperability and Standardization in the Internet of Things

Interoperability and Standardization in the Internet of Thin...

引用

International Conference on science Technology Engineering and management (ICONSTEM)

作者： Ravi Kumar Saidala Haseeb V V G. Padmapriya Jayabalan S V. Kalai Priya Anwar Ahamed Shaikh Department of Computer Science Engineering Alliance University Bangalore Karnataka India Department of Computer Science NAM College Kallikkandy Kerala Tamil Nadu India Department of Computing Technologies School of Computing SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Computer Science and Business System Panimalar Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering RMK college of Engineering and Technology Puduvoyal India Department of Computer Science and Engineering KoneruLakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

This research highlights the importance of standards and interoperability in the IoT. An essential component of IoT ecosystems is interoperability, which refers to the ability for various systems and devices to converse and share data. Formats for data, methods of communication, and safeguards are all outlined by standards. Widespread adoption and scalability are made possible through interoperability and standards, which allow devices from many manufacturers to communicate with one another. This research investigates the alliances, regulatory authorities, and commercial associations that cooperate in the creation and advancement of open standards that can be embraced by other entities. The main objective of the research is to showcase the construction of an Internet of Things device capable of communicating with various embedded peripheral protocols utilizing Plug and Play (PnP) technology. Moreover, the research examines the impact of regulatory frameworks on the IoT ecosystem and their role in fostering interoperability. An IoT ecosystem necessitates a standardized and open environment to provide optimal performance in terms of connectivity, data exchange, and innovation. This research contributes to the progress of harmonizing and achieving interoperability among World Wide Web Things.

关键词： Technological innovation Protocols Scalability Ecosystems Internet of Things Web sites Interoperability

来源：评论

学校读者我要写书评

暂无评论

The Smart Optimization and Estimating the Performance of Encapsulating Security Payload in Wireless Network Security 3

The Smart Optimization and Estimating the Performance of Enc...

引用

3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Sripriya, T. Borade, Monali R. Deepaware, Neeta Kumar, Jambi Ratna Raja Khalid, Md. Saifullah Singh, K. Ranjith Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India Mangalayatan University Department of Management Jabalpur India Genba Sopanrao Moze College of Engineering Balewadi Department of Computer Engineering Maharashtra Pune India Usha Martin University Faculty of Business Mangagement & Commerce Ranchi India Karpagam Academy of Higher Education Department of Computer Science Coimbatore India

ISBN: (纸本)9798350319125

The Encapsulating Security Payload (ESP) is the primary issue of safety structure for wireless networks. It inspires to make specific cozy switches of records across a wireless network by offering encrypted messages, information integrity guarantee, and authentication of communications. ESP can also provide excellent selective filtering of community site visitors and provides levels of authentication required for ease of network access. Due to the advances in the wireless era, the overall performance of ESP in Wi-Fi networks is becoming increasingly essential. Consequently, intelligent optimization and estimating the overall performance of ESP in wireless networks is an important task. Clever optimization of ESP in Wi-Fi networks determines the most reliable parameters for ESP to maximize its performance and reduce the network overhead that may arise while looking to take care of records transmission and information protection. Traditional optimization techniques, including Genetic Algorithms, can be used for this project, as they give more accurate outcomes and might effortlessly be implemented in the community infrastructure. Clever optimization can't only decorate the performance of ESP but can also reduce the variety of false alarms in the machine. Moreover, developing an accurate estimation for the overall performance of ESP in Wi-Fi networks is essential to get the most out of its talents. The usage of mathematical models, including a Markov Chain modeling technique, to symbolize various. © 2023 IEEE.

关键词： authentication encapsulating optimization

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294页 << < 35 36 37 38 39 40 41 42 43 44 > >>

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：