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

10,387 篇 会议
2,881 篇 期刊文献
134 册 图书

馆藏范围

13,402 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7,524 篇 工学
- 5,192 篇 计算机科学与技术...
- 4,190 篇 软件工程
- 2,735 篇 信息与通信工程
- 1,433 篇 控制科学与工程
- 1,389 篇 电子科学与技术（可...
- 1,250 篇 电气工程
- 1,031 篇 生物工程
- 930 篇 生物医学工程（可授...
- 854 篇 光学工程
- 651 篇 动力工程及工程热...
- 634 篇 网络空间安全
- 616 篇 仪器科学与技术
- 541 篇 机械工程
- 529 篇 安全科学与工程
- 430 篇 化学工程与技术
- 387 篇 交通运输工程
4,285 篇 理学
- 1,801 篇 数学
- 1,623 篇 物理学
- 1,166 篇 生物学
- 617 篇 统计学（可授理学、...
- 520 篇 化学
- 375 篇 系统科学
2,007 篇 管理学
- 1,332 篇 管理科学与工程(可...
- 780 篇 图书情报与档案管...
- 602 篇 工商管理
1,054 篇 医学
- 834 篇 临床医学
- 802 篇 基础医学(可授医学...
- 609 篇 公共卫生与预防医...
- 446 篇 药学(可授医学、理...
421 篇 法学
- 363 篇 社会学
266 篇 经济学
233 篇 农学
80 篇 教育学
70 篇 文学
40 篇 军事学
9 篇 艺术学

主题

659 篇 accuracy
552 篇 deep learning
524 篇 real-time system...
499 篇 internet of thin...
429 篇 feature extracti...
320 篇 machine learning
301 篇 convolutional ne...
296 篇 computational mo...
279 篇 support vector m...
277 篇 predictive model...
250 篇 optimization
225 篇 training
212 篇 wireless sensor ...
206 篇 reliability
192 篇 wireless communi...
192 篇 monitoring
181 篇 medical services
176 篇 image segmentati...
170 篇 neural networks
161 篇 scalability

机构

242 篇 department of ph...
240 篇 kirchhoff-instit...
239 篇 department for p...
237 篇 faculty of scien...
235 篇 department of mo...
233 篇 infn e laborator...
231 篇 department physi...
229 篇 west university ...
228 篇 department of ph...
226 篇 department of ph...
225 篇 fakultät für phy...
221 篇 department of ph...
209 篇 graduate school ...
207 篇 research center ...
199 篇 institute of phy...
170 篇 institute of phy...
153 篇 deutsches elektr...
141 篇 department of ph...
140 篇 maharishi school...
131 篇 department of ph...

作者

168 篇 c. alexa
168 篇 g. bella
168 篇 d. calvet
168 篇 c. amelung
167 篇 n. orlando
167 篇 y. tayalati
167 篇 g. spigo
167 篇 v. chiarella
167 篇 f. siegert
167 篇 a. dimitrievska
166 篇 j. m. izen
166 篇 j. strandberg
166 篇 f. deliot
163 篇 y. abulaiti
162 篇 r. ströhmer
162 篇 m. rijssenbeek
162 篇 s. jin
162 篇 g. gaudio
162 篇 w. j. fawcett
162 篇 s. mohapatra

语言

12,094 篇 英文
1,212 篇 其他
101 篇 中文
2 篇 德文
2 篇 法文
2 篇 荷兰文
1 篇 阿拉伯文
1 篇 日文
1 篇 斯洛文尼亚文
1 篇 土耳其文

检索条件"机构=Departments of Computer Science and Engineering and Electronics and Communication Engineering"

共 13402 条记录，以下是4901-4910 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 Machine Learning Approach for the Identification and Classification of Cardiovascular Diseases Using ECG Signals and Sensor data

A Machine Learning Approach for the Identification and Class...

引用

Smart Devices (ICSD), International Conference on

作者： Nazeer Shaik M. Dharani Bura Vijay Kumar Vikas Gupta Jagendra Singh Yogesh Pal Department of Computer Science Engineering SRIT-Autonomous Anantapur India School of Electronics and Communication Engineering K S R Institute for Engineering and Technology Tiruchengode India School of Computer Science and Artificial Intelligence SR University Warangal India Department of Computer Science Engineering Raj Kumar Goel Institute of Technology Ghaziabad India School of Computer Science Engineering & Technology Bennett University Greater Noida India School of Computer Science Engineering and Technology Bennett University Greater Noida India

ISBN: (数字)9798350394412

ISBN: (纸本)9798350394429

Cardiovascular diseases (CVDs) continue to be a major concern in the medical field to date. Among the many diagnostic tools, electrocardiogram (ECG) remains one of the main ways with which to detect cardiac abnormalities. Although classic ECG interpretation is powerful, it is a laborious and time-demanding task and tends to be onerous for physicians. This study suggests a means of effective machine learning to increase the accuracy and speed of diagnosing CVDs based on ECG signals and other sensor data. On the other hand, we are concerned with the application of Frequency Domain Measures in deep-learning methodologies of image classifiers. Other models include the raw ECG sent to a 1-dimensional convolutional model together with the XGBoost model for the time-series feature-based prediction. Preliminary assessment reveals that Frequency Domain Measures provide good atrial fibrillation prediction but are quite limited for other types of arrhythmias. Computational results for the XGBoost model are, however, efficient for predictions on long data but proceed at the cost of extended inference times, considering the computational demand of the pre-processing stage. This paper opens up the scope of the potential for machine learning in revolutionizing ECG-based CVD detection, and we have to keep on the protocols of refinement and research toward this usage.

关键词： Computational modeling Frequency-domain analysis Arrhythmia Atrial fibrillation Machine learning Medical services Electrocardiography Predictive models Computational efficiency Cardiovascular diseases

来源：评论

学校读者我要写书评

暂无评论

Alzheimer's Disease Prediction Using Convolutional Neural Networks Pre Trained Architecture

Alzheimer's Disease Prediction Using Convolutional Neural Ne...

引用

Intelligent Signal Processing and Effective communication Technologies (INSPECT), IEEE International Conference on

作者： P Sam Sahil Bhawesh K Sinha Thirumala Akash K Mohammed Riyaz Ahmed Computer Science and Engineering HKBK College of Engineering Bangalore India Data Science and Engineering Swami Vivekananda University Kolkata West Bengal India Analyst 1 Infrastructure Service DXC Technology Bangalore India Electronics and Communication Engineering HKBK College of Engineering Bangalore India

ISBN: (数字)9798350379525

ISBN: (纸本)9798350379532

Alzheimer's Disease (AD) is a progressive neu-rodegenerative disorder that significantly impacts memory and cognitive abilities. Accurate early-stage diagnosis is critical for implementing preventive measures before irreversible brain damage occurs. This paper presents a novel approach for AD prediction using convolutional neural networks (CNN) with pre-trained architectures, leveraging transfer learning to enhance classification accuracy. MRI scans from the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset were used, categorized into three classes: AD (Alzheimer's Disease), CI (Mild Cognitive Impaired) and CN (Common Normal). The proposed method em-ploys pre-trained models such as VGG16, DenseNet121, Xception, ResNet152V2, NasNetLarge and InceptionResNetV2, fine-tuned for AD detection. Experimental results demonstrate that our approach achieved classification exceeding 90 % for precision and recall, highlighting the effectiveness of CNNs in handling large-scale medical data. These findings underscore the potential of deep learning models for supporting clinical diagnosis, reducing time and cost, and aiding in the early detection of Alzheimer's Disease

关键词： Neuroimaging Deep learning Accuracy Magnetic resonance imaging Transfer learning Signal processing Predictive models Convolutional neural networks Alzheimer's disease Medical diagnostic imaging

来源：评论

学校读者我要写书评

暂无评论

Redesigning of High Swing Super Wilson Current Mirror Circuit

Redesigning of High Swing Super Wilson Current Mirror Circui...

引用

Innovation in Technology (ASIANCON), Asian Conference on

作者： Parveen Singla Rinkesh Mittal Pooja Sahni Parveen Kumar Sharma Electronics and Communication Engineering Department Department of RISE Chandigarh Engineering College Landran Mohali Punjab India Electronics and Communication Engineering Department Chandigarh Engineering College Landran Mohali Punjab India Computer Science and Engineering Department Chandigarh Engineering College Landran Mohali Punjab India

Current Mirror (CM) circuit has filled in as the huge building thwart in fundamental circuit plot coming to fruition to the introduction of incorporated circuits. In this paper, a high impedance CM which is self one-sided instead of using biasing circuit is proposed. The power supply of the proposed circuit is diminished from 0.8V to 0.5V this lessened voltage supply brings out less power dispersal. In the proposed circuit the issue of befuddling of VDS on info and yield is resolved and is particularly moved forward. Data transfer capacity is furthermore enhanced of this circuit. The DC current blunder is in like manner constrained. The development used to complete the proposed circuit is 0.18μm. The circuit is reproduced using Cadence Design Environment in the UMC 0.18μm CMOS innovation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Learning-Based Q-Commerce Framework Evolving from E-Commerce 2

A Hybrid Learning-Based Q-Commerce Framework Evolving from E...

引用

2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Presskila, X. Arogya Raj, J. Relin Francis Kumar, P. Selva Sankar, G. Ram Rajkumar, G. Vinoth Sundaravadivel, P. Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Department of Computer Science and Engineering Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Chennai India Francis Xavier Engineering College Department of Management Studies Tirunelveli India Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India J. P. College of Engineering Department of Electronics and Communication Engineering Tenkasi India Saveetha Engineering College Department of Artificial Intelligence and Machine Learning Chennai India

ISBN: (纸本)9798331505745

The rapid evolution of E-Commerce has led to the emergence of Quick Commerce (Q-Commerce), a model that prioritizes ultra-fast deliveries and real-time decision-making. This paper proposes a Hybrid Learning-based framework that enhances Q-Commerce operations by integrating Self-Supervised, Supervised, Reinforcement, and Unsupervised Learning techniques. The model leverages BERT for self-supervised pretraining, enabling context-aware customer personalization and improved search relevance. LSTMs and CNNs are employed for demand forecasting and product classification, ensuring optimized inventory management. GNNs enhance personalized recommendations by analyzing user-product relationships. For logistics optimization, DQN and PPO are implemented to dynamically adjust last-mile delivery routes, reducing delivery times and operational costs. To ensure fraud prevention, AEs and GANs detect anomalous transaction behaviors, improving security while minimizing false positives. The proposed hybrid deployment strategy, combining cloud-based AI inference and Edge AI at micro-fulfillment centers (MFCs), enhances system responsiveness and scalability. The framework is evaluated using MAE, RMSE, HR, Fl-Score, and ROC curves, ensuring accurate demand prediction, optimized logistics, and effective fraud detection. Future advancements in Autonomous Deliveries, AI-Powered Warehousing, and Blockchain Integration will further revolutionize Q-Commerce, making it an indispensable extension of E-Commerce. © 2025 IEEE.

关键词： Marketplaces

来源：评论

学校读者我要写书评

暂无评论

Design and Development of an Ontology Driven Search Engine for a Mobile Cloud Asynchronous Remote Learning Platform 13

Design and Development of an Ontology Driven Search Engine f...

引用

13th Annual IEEE Global Humanitarian Technology Conference, GHTC 2023

作者： Cruz, X.M. Honrado, J.L. Coronel, A. Libatique, N.J. Tangonan, G. Ateneo de Manila University Ateneo Innovation Center Quezon City Philippines Ateneo de Manila University Department of Information Systems and Computer Science Quezon City Philippines Ateneo de Manila University Department of Electronics Computer and Communication Engineering Department Quezon City Philippines

ISBN: (纸本)9798350321326

In the face of a global pandemic, the digital divide has become apparent especially in bandwidth-constrained countries. As contactless remote services have become increasingly necessary in the face of limited human mobility, remote learning has become the norm. To support remote learning, the research team developed a resilient asynchronous remote learning and content distribution platform as a digital library. Collaborating with corresponding stakeholders, the scope of content for the initial iterations of the platform was curated to accommodate resources for STEM educational *** the initial feedback for the prototype, there is a need for a consolidated means of retrieving information and resources across content channels while adhering to the prescribed Philippine K-12 curriculum. As such, the researcher proposes an implementation of an ontology-driven search engine deployed on the remote learning platform. The search engine will use an ontology encompassing the K-12 curriculum and an index of curated content across the educational content-hosting services within the digital library. This study develops a system to reliably retrieve and recommend contextually relevant results with the use of semantic web annotations and semantic information retrieval techniques to improve upon classical information retrieval. © 2023 IEEE.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

A Multi-Source Approach to Film Recommendations using Social Media, Search Data, and Streaming History

A Multi-Source Approach to Film Recommendations using Social...

引用

Sustainable communication Networks and Application (ICSCNA), International Conference on

作者： J. Relin Francis Raj M. Saravana Karthikeyan G. Vinoth Rajkumar S. Vijay Shankar R. Augustian Isaac S. Thanga Anushya Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai India Department of Electronics and Communication Engineering J. P. College of Engineering Tenkasi India Department of Electrical and Electronics Engineering Sona College of Technology Salem India Department of Artificial Intelligence and Machine Learning Saveetha Engineering College Thandalam Chennai India Department of Computer Science and Engineering SCAD College of Engineering and Technology Cheranmahadevi India

ISBN: (数字)9798331530013

ISBN: (纸本)9798331530020

In the rapidly evolving OTT platforms, providing highly personalized and relevant film recommendations has become a critical challenge. Traditional recommendation systems primarily rely on user ratings and watch history, neglecting the vast potential of other data sources such as social media interactions and search engine queries. This research presents a multi-source film recommendation framework, integrating data from social media posts, search behaviour, and OTT streaming history to deliver enhanced personalization. A novel algorithm, CoFiSent (Collaborative Filtering with Sentiment Analysis), is proposed, combining collaborative filtering techniques with sentiment analysis of user-generated content from social media. By analysing user sentiments and preferences, the algorithm refines recommendations to match users' dynamic interests more effectively. The performance of CoFiSent is evaluated against existing algorithms, including standard collaborative filtering and content-based filtering models. Simulations are conducted using real-world datasets, and the system's effectiveness is measured through precision, recall, F1-score, and mean reciprocal rank (MRR). Results demonstrate that CoFiSent outperforms traditional methods, particularly in capturing emerging trends and contextual preferences reflected in social media activities. The integration of multiple data sources enhances the overall accuracy and relevance of recommendations, offering a significant improvement in user satisfaction. The research findings suggest that incorporating social media sentiment and search behaviour into film recommendation systems represents a promising approach for next-generation entertainment platforms.

关键词： Over-the-top media services Sentiment analysis Social networking (online) Heuristic algorithms Collaborative filtering Soft sensors User-generated content Motion pictures History Recommender systems

来源：评论

学校读者我要写书评

暂无评论

Channel Capacity Enhancement in Dual Branch MRC under Extreme Fading Using Quantum Computing

Channel Capacity Enhancement in Dual Branch MRC under Extrem...

引用

IEEE Region 10 Symposium

作者： Deepak Upadhyay Kunj Bihari Sharma Mridul Gupta Abhay Upadhyay Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Computer Science and Engineering Graphic Era deemed to be University Dehradun India Dept. of Electronics and Communication Engineering Graphic Era deemed to be University Dehradun India

ISBN: (数字)9798350364866

ISBN: (纸本)9798350364873

We have investigated the potential of channel capacity and signal integrity enhancement in dual branch MRC systems even under extreme fading through classical and quantum computing. We have used the classical algorithm to gauge the performance of the quantum algorithm, including QAOA and QEC. Our simulation results show that quantum-assisted MRC work optimally by providing superior SNR and BER. Quantum algorithms not only maximizes the effective channel capacity but also minimizes end-to-end system latency and number of error rate more efficiently. The addition of Quantum Machine Learning for the dynamic parameter setting in real-time has demonstrated that it may be possible to combat severe fading effects. To the best of our knowledge, this paper laid the cornerstone to explore more opportunities in implementing quantum-enabled techniques for advanced telecommunication system development to realize more robust and efficient technologies.

关键词： Fading channels Technological innovation Quantum algorithm Channel capacity Simulation Machine learning Real-time systems Telecommunications Signal integrity Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

A Simple Performance Model of IEEE 802.11 WLAN with Arbitrary Buffer Size and Traffic Load

A Simple Performance Model of IEEE 802.11 WLAN with Arbitrar...

引用

International Conference on Information Networking

作者： Shinnazar Seytnazarov Dong Geun Jeong Wha Sook Jeon Faculty of Computer Science and Engineering Innopolis University Innopolis Russia Department of Electronics Engineering and Applied Communication Research Center Hankuk University of Foreign Studies Yongin-si South Korea Department of Computer Science and Engineering Seoul National University Seoul South Korea

ISBN: (数字)9798350330946

ISBN: (纸本)9798350330953

In literature, most existing performance models of the IEEE 802.11 networks assume a saturated traffic load, where every station always has a frame to send. Some other models capture a specific case of an unsaturated traffic load, where each station can buffer at most one frame at a time. There are, however, few works that model the performance for an arbitrary traffic load and buffer size using a three-dimensional Markov chain. But those models are very complex due to the huge number of transitions between the states with different queue sizes. In this work, we propose a new and much simpler performance model for arbitrary traffic loads and buffer sizes. The model is based on a very simple but valid assumption, which decreases the number of transitions in a three-dimensional chain, making it more readable and easier to calculate. The performance evaluations show that the proposed model has better accuracy than other well-known models under both unsaturated and saturated traffic loads.

关键词： Performance evaluation Solid modeling Wireless LAN Accuracy Protocols Telecommunication traffic IEEE 802.11 Standard

来源：评论

学校读者我要写书评

暂无评论

IoT based Women Safety Bag

IoT based Women Safety Bag

引用

Innovative Data communication Technologies and Application (ICIDCA), International Conference on

作者： M. Ashok Kumar P. Pradeepa A. Essaki Muthu R. Santhana Krishnan K. Saravanan K. Lakshmi Narayanan Department of Electronics and Communication Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Information Technology PSNA College of Engineering and Technology Dindigul India Department of Computer Science and Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Computer Science and Engineering Anna University Regional Campus Tirunelveli India Department of Electronics and Communication Engineering Francis Xavier Engineering College Tirunelveli India

Women's safety has become one of the chief concerns in India, since quite a large number of violence takes place against women's like sexual assault, abuse and murder. Women's are worshiped as God in this country yet her safety is at stake. Even when Women's started to equally flourish in every sectors starting from a Taxi Driver to a CEO of the top MNC, there are major safety issues which still prevent them to excel in their sector. Women's of all ages are affected by some sort of problems against their rights. It tends to increase as we let things grow without noticing them. The reports from National Crime Records Bureau (NCRB) which was released in 2021 which clearly states that more than 4, 00,000 cases were registered under crime against women. Hence, there should be a system which helps them to seek help when they are feeling unsecured. Therefore we propose a system which will assist the women to seek help when they are in danger. This system facilitates them to contact their relative when they experience unsecured situations.

关键词： Safety Data communication Public transportation

来源：评论

学校读者我要写书评

暂无评论

IoT and Image Processing based Smart Door Locking System 1

IoT and Image Processing based Smart Door Locking System

引用

1st IEEE International Conference on Automation, Computing and Renewable Systems, ICACRS 2022

作者： Jayaram, B. Subhahan, D. Abdus Sakthivel, B. Mohanaprakash, T.A. Joshi, Sunita Kumar, M. Jogendra Department of Computer Science and Business Systems RMK Engineering College Tamil Nadu Kavaraipettai601206 India Department of Computer Science Engineering B V Raju Institute of Technology Telengana Narsapur502313 India Department of Electronics and Communication Engineering Vivekanandha College of Engineering for Women Elayampalayam Namakkal Tamil Nadu Tiruchengode637205 India Department of Computer Science and Engineering Panimalar Engineering College Tamilnadu Chennai600123 India Department of Computer Applications Manav Rachna International Institute of Research and Studies Haryana Faridabad121004 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram India

ISBN: (纸本)9781665460842

An effective home security system improves the standard of living by making the home a safer place to live in general. In recent years, smart door locks have become increasingly popular as an integral component of home security systems. Locking and unlocking a door with a smart door lock system requires authentication. Unfortunately, several break-in attempts have been made when the invader tried to bypass the locks. In this work, Internet of Things (IoT) and image processing can be used to strengthen the safety of Smart Door Lock systems. The camera is triggered after the motion detector has determined that a human has entered the area. The camera picks up a clear picture of the visitor standing by the entrance. Using image processing methods, the image is delivered to the microcontroller and compared with the registered users. A door will open automatically if the person's face is in the database. Otherwise, a notification and a photo of the person will be sent to the user's mobile app via IoT. In the designed mobile app, the user may view the individual's face and issue commands to the system, such as opening and closing doors. Using the developed methodology, the safety of the house will be increased, and unauthorized visitors will be prevented. © 2022 IEEE

关键词： Internet of things

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 << < 487 488 489 490 491 492 493 494 495 496 > >>

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：