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

2,540 篇 期刊文献
587 篇 会议
4 册 图书

馆藏范围

3,131 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,421 篇 理学
- 1,860 篇 物理学
- 394 篇 地球物理学
- 272 篇 数学
- 225 篇 化学
- 147 篇 统计学（可授理学、...
- 146 篇 生物学
- 68 篇 天文学
1,351 篇 工学
- 370 篇 计算机科学与技术...
- 332 篇 核科学与技术
- 310 篇 软件工程
- 183 篇 仪器科学与技术
- 181 篇 电子科学与技术（可...
- 157 篇 化学工程与技术
- 134 篇 信息与通信工程
- 113 篇 电气工程
- 98 篇 光学工程
- 88 篇 冶金工程
- 80 篇 生物工程
- 63 篇 生物医学工程（可授...
- 62 篇 航空宇航科学与技...
- 61 篇 材料科学与工程（可...
- 57 篇 控制科学与工程
- 56 篇 力学（可授工学、理...
- 49 篇 机械工程
- 49 篇 动力工程及工程热...
146 篇 管理学
- 86 篇 管理科学与工程(可...
- 58 篇 图书情报与档案管...
- 50 篇 工商管理
112 篇 医学
- 89 篇 临床医学
- 68 篇 基础医学(可授医学...
28 篇 农学
24 篇 经济学
23 篇 法学
15 篇 教育学
1 篇 文学
1 篇 军事学
1 篇 艺术学

主题

288 篇 hadron colliders
109 篇 hadrons
106 篇 relativistic hea...
97 篇 higgs bosons
78 篇 particle decays
74 篇 particle product...
63 篇 w & z bosons
60 篇 bottom mesons
58 篇 proton-proton in...
58 篇 hadronic decays
56 篇 bosons
53 篇 top quark
51 篇 branching fracti...
48 篇 supersymmetric m...
48 篇 neutrons
46 篇 leptonic, semile...
44 篇 large hadron col...
44 篇 bottom quark
44 篇 quark & gluon je...
43 篇 quantum chromody...

机构

931 篇 physikalisches i...
923 篇 department of ph...
898 篇 cavendish labora...
843 篇 oliver lodge lab...
811 篇 infn laboratori ...
770 篇 infn sezione di ...
745 篇 infn sezione di ...
742 篇 infn sezione di ...
591 篇 infn sezione di ...
577 篇 infn sezione di ...
568 篇 infn sezione di ...
510 篇 iccub universita...
500 篇 university of ch...
486 篇 fakultät physik ...
466 篇 infn sezione di ...
460 篇 school of physic...
458 篇 h.h. wills physi...
454 篇 horia hulubei na...
451 篇 nikhef national ...
439 篇 yerevan physics ...

作者

267 篇 j. wang
251 篇 barter w.
235 篇 beiter a.
229 篇 j. m. izen
227 篇 c. alexa
223 篇 blake t.
223 篇 betancourt c.
222 篇 bellee v.
222 篇 borsato m.
220 篇 h. li
216 篇 g. bella
216 篇 j. strandberg
216 篇 bowcock t.j.v.
215 篇 x. chen
214 篇 amato s.
214 篇 s. chen
213 篇 d. calvet
212 篇 c. amelung
212 篇 brundu d.
210 篇 boettcher t.

语言

2,974 篇 英文
146 篇 其他
11 篇 中文

检索条件"机构=Computer Science and Engineering I.T.S Engineering College"

共 3131 条记录，以下是71-80 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：

Quantitative Evaluation to Detect Crack Depth in Beams Based on CNN-RNN-LstM Approach

Quantitative Evaluation to Detect Crack Depth in Beams Based...

引用

2023 international Conference on self sustainable Artificial intelligence systems, iCssAs 2023

作者： Gandhi, Mohammad Asif swaminathen, A.N. Patil, Deepak t. Ravitheja, A. Kamali, R. Rajput, Akshay Anjuman-I-Islam's Kalsekar Technical Campus Department of Mechanical Engineering Maharashtra Panvel India Adi Shankara Institute of Engineering and Technology Kerala India Bharati Vidyapeeth College of Architecture Maharashtra Navi Mumbai India Svr Engineering College Department of Civil Engineering Andhra Pradesh Kurnool India Knowledge Institute of Technology Department of Computer Science and Engineering Tamilnadu Salem India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350300857

in this study, the proposed approach offers a novel hybrid image-based deep learning method for autonomous concrete fracture identification. Cracks are easier to spot and false positives are reduced with hybrid images that include visual and infrared thermography data. in specifically, a Visible and infrared camera as well as a line laser make up a hybrid imaging system for spatially scanning unmanned vehicles can efficiently assess large-scale concrete-made constructions like bridges and dams. Crack detection is a commonplace task in many industrial domains, however the current method of relying on expert judgment is typically laborious, time consuming, and inaccurate. the practical benefits of automated decision-making increase as the size of the target concrete construction grows. Cracks can be automatically identified and seen using the proposed method. Preprocessing, segmentation, feature extraction, and model training are the four components of the proposed method. it performs clever edge recognition, scaling, and greyscale conversion as part of its preparation. improved K-Means segmentation is used for the separation. it employs GLCM for feature extraction, and CNN-RNN-LstM for model training. the new method is compared to two established approaches, CNN-RNN and CNN-LstM, and is found to be superior. © 2023 iEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

the impact of industrial Automation on the Manufacturing industry in the Era of industry 4.0 15

The Impact of Industrial Automation on the Manufacturing Ind...

引用

15th international Conference on Computing Communication and Networking technologies, iCCCNt 2024

作者： Gurav, Vidya sunil Gugnani, Anchit Meena, Y.R. Marathe, Vijay Vijay, s. Arul Antran Nanda, simranjeet D.K.T.E.S's Textile and Engineering Institute Department of Management Studies Ichalkaranji416115 India Amity Institute Of Physiotherapy Amity University Rajasthan Jaipur302020 India School of Engineering and Technology Department of Civil Engineering Karnataka Bangalore India Vishwakarma Institute of Technology Pune India Karpagam College of Engineering Department of Computer Science Engineering Coimbatore641032 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350370249

With the dawn of industry 4.0, industrial automation has become one of the most disruptive technologies in the manufacturing industry. it encompasses the use of innovative technology and methods to automate different processes related to production, which decreases dependence on human laborers and ensures increased production results with greater efficiency. it was a game changer for the industry - industrial Automation that transformed product design, production, and delivery. A significant positive aspect of using industrial Automation is that it improves the speed and accuracy at which production occurs. Robotization, artifidal intelligence, and modern equipment combined to allow manufacturing to continue mumuchquicker while being more accurate. it helps reduce production time, bringing down wastage and errors due to cost-saving, leading to better quality control. the integration resulted in industrial automation leading towards smart Factories where machines & systems are interconnected and communicate banks on each other. this has enabled the manufacturers to monitor and optimize their production processes, ensuring their organization planned maintenance over preventive repairs, avoiding machinery failures, or putting suppliers in check with plummeting demand. industrial Automation increasing Potential Job Displacement and Reskilling/Upskilling of Workers. © 2024 iEEE.

关键词： industry Machinery Manufacturing Robotization technology

来源：评论

学校读者我要写书评

暂无评论

Automatic Vehicle Damage Detection Classification framework using Fast and Mask Deep learning 2

Automatic Vehicle Damage Detection Classification framework ...

引用

2nd international Conference on computer science, engineering and Applications, iCCsEA 2022

作者： Reddy, Dasari Anantha shambharkar, saroj Jyothsna, Kandi Kumar, V Manoj Bhoyar, Chandrashekhar N somkunwar, Rachna K. Computer Science and Engineering Klef Aziznagar Hyderabad India K.I.T.S.Ramtek Department of Information Technology Nagpur India Computer Science and Engineering Mlrit Dundigal Hyderabad India Computer Science and Artificial Intelligence SR University Ananthsagar Warngal India Priyadarshini College of Engineering Electronics Engineering Department Nagpur India Dr. D. Y. Patil College of Technology Pimpri Department of Computer Engineering Pune India

ISBN: (数字)9781665458344

ISBN: (纸本)9781665458344

Now a day's road accidents occurred very frequently in every part of the world. Damage investigation and detection after every accident becomes a very challenging and primary job for vehicle insurance department personnel and vehicle maintenance and rental industries. there is a necessity for some Automatic Vehicle Damage Detection system with the capability of detecting the minor and major damages that are occurred in a vehicle after any type of accident so that an appropriate appraisal can be made and a suitable amount paid to a guilty customer. there is an extensive growth in technology, which leads to the extensive development in computer system Vision techniques. A tremendous amount of computer Vision technology has been applied to various real-world life problems. there is a need for an effective automatic vehicle damage system to reduce the vast need for manual manpower required for this damage detection work after the occurrence of an accident. in most of the existing research work, the major problem faced by the researchers is there exist very few datasets to train the system which can be used to classify the damage. And the major challenge is the accuracy of those classifiers to classify the vehicle images into their appropriate damage classes. As the number of vehicles on the roadside goes on increasing, there is a need for automatic systems to ease the post-accident or damage processing goes on increasing. in our research work, we have proposed a Deep Learning-based Vehicle Damage detection assessment algorithm. the algorithm is based on image classification and objection detection methodology capable of automatically determining the actual damage position in a vehicle, degree, and type of damage from the various images received from the guilty user or from any person which will help them to provide a suitable maintenance amount,the calculation done by the insurance company. the proposed work provides a brief idea about the damages occurred during accide

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Machine Learningcloud-Based Approach to identify and Classify Disease 2

Machine Learningcloud-Based Approach to Identify and Classif...

引用

2nd iEEE Mysore sub section international Conference, MysuruCon 2022

作者： Gupta, Brijendra Alagdeve, Vilas D. Padmaja, Pydimarri Coumaressin, t. Reddy, V. Naresh Kumar Kumar, R. Ganesh Siddhant College of Engineering Department of I.T. Pune India Yeshwantrao Chavan College of Engineering Department of Electronics Engineering Nagpur India Teegala Krishna Reddy Engineering College Department of Electronics and Communication Engineering Hyderabad India Sri Manakula Vinayagar Engineering College Puducherry India Shri Jagdishprasad Jhabarmal Tibrewala University Department of Computer Science & Engineering Jhunjhunu India Computer Science and Engineering Bangalore India

ISBN: (数字)9781665497909

ISBN: (纸本)9781665497909

the term "internet of things"(iot) describes the process of creating and modeling web-related physical objects across computing systems. iot-based healthcare applications have offered multiple real-time products and benefits in recent years. For millions of people, these programmers provide hospitalization can get regular medical records and healthy lives. the introduction of iot devices in the health sector has several technological developments. this study uses the iot to construct a disease diagnostic system. Wearable sensors in this system initially monitor the patient's sympathy impulses. the impulses are then sent by a network environment to a server. in addition, a new hybrid approach to evaluation decision-making was presented as part of this research. this technique starts with the development of a set of features of the patient's pulses. Based on a learning approach qualifications are neglected. A fuzzy neural model was used as a diagnostic tool. A specific diagnosis of a particular ailment, such as the diagnosis of a patient's normal and abnormal pulse or the assessment of insulin issues, would be modeled to assess this technology. © 2022 iEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Face Recognition Automated system for Visually impaired Peoples Using Machine Learning

Face Recognition Automated System for Visually Impaired Peop...

引用

2022 international Conference on Data science, Agents and Artificial intelligence, iCDsAAi 2022

作者： Jyothsna, Kandi Kumar, V Manoj shambharkar, saroj Reddy, Dasari Anantha Bhoyar, Chandrashekhar N somkunwar, Rachna K. Computer Science and Engineering Mlrit Dundigal Hyderabad India Computer Science and Artificial Intelligence Sr University Ananthsagar Warngal India K.I.T.S.Ramtek Department of Information Technology Nagpur India Computer Science and Engineering Klef Aziz Nagar Hyderabad India Priyadarshini College of Engineering Electronics Engineering Department Nagpur India Dr. D. Y. Patil College of Technology Department of Computer Engineering Pune Pimpri India

ISBN: (纸本)9798350333848

Recent studies and surveys are done by various researchers in the field of Machine Learning and the automation-based system say that the ratio of physically impaired (deaf/dumb) people has been drastically increased due to various health issues in the next generation. Despite of birth defects another reason for this increase in the ratio is an accident, natural health issues, or an oral disease. Victim of these types of health defects faces a lot of problems while communicating with other people in their daily routine life. All physically impaired people use a special language known as sign language to communicate with their colleagues, friend relatives but they are unable to communicate with other people who don't know sign language. it is all known that communication plays a very important role in everyone's day-to-day life. to help them, many automatic systems with specialized software have been developed by various researchers and the use of technology is increasing every day. Using the advanced technology, Machine Learning, in our research work, we are trying to design a Vision-based approach that will work by recognizing the face of a user. this approach is based on real-time data, this data is given as input (set of frames of a face from various angles of a physically impaired person) to the system. this set of frames will be processed, and segmented further and its various features will be extracted using a Machine Learning algorithm finally the output of the system is recognized in text format in any vision-based system. © 2022 iEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

telehealth Data security and Privacy solutions for sensitive Health Records using Cloud Computing and isolation Forest Algorithm 2

Telehealth Data Security and Privacy Solutions for Sensitive...

引用

2nd international Conference on self sustainable Artificial intelligence systems, iCssAs 2024

作者： Prathik, A. Banu, s. Parveen sagar, B.s. Prakash, A. John Felix thamizhamuthu, R. Velmurugan, s. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Saveetha College of Liberal Arts and Sciences Department of Commerce Tamil Nadu Chennai India Reva University Department of Electrical and Electronics Engineering Karnataka Bengaluru India Chennai Institute of Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur Campus-Chengalpattu Tamil Nadu Chennai India T.J.S. Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350368413

Protecting the confidentiality of patient's personal health information as it is sent and kept in the cloud is of the utmost importance due to the increasing number of telehealth services. this research provides a new healthcare data security approach using cloud computing and the isolation Forest method. to identify important challenges and provide a novel technique, a thorough literature study on telehealth security, privacy issues, and cloud-based solutions. it uses the isolation Forest method for anomaly detection in combination with encryption and access restriction systems to identify intrusion attempts. it uses simulated telehealth data in trials to test the system's work. Findings show substantial gains in privacy and data security with computational burden. Healthcare practitioners and legislators will find results useful in their pursuit of solutions to the problem of securing patients' private health information throughout the rise of telemedicine. © 2024 iEEE.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

implementation of Deep Learning Based Compression technique and Comparative Analysis with Conventional Methodologies 13

Implementation of Deep Learning Based Compression Technique ...

引用

13th international Conference on Computing Communication and Networking technologies, iCCCNt 2022

作者： Gupta, Neetu Gupta, Hemant Kumar Pathak, Vibhakar Pareek, Prakash Department of Computer Science & Engineering India Department of Electronics & Communication Engineering India Vaagdevi College of Engineering Warangal India Arya College of Engineering & I.T. Jaipur India Vishnu Institute of Technology A.P. Bhimavaram India

ISBN: (数字)9781665452625

ISBN: (纸本)9781665452625

Recently, the movement in information science and advancement completely impacts the human ordinary everyday practice. the size of mechanized data is filling rapidly to achieve images of unrivalled grade. the image compression works with to send large size images with insignificant bytes and to restore the image with incredible quality on social event. the focuses are to make an extra little data size;better nature of data during entertainment and connect transmission of data over confined information move limit with security. in this paper, conventional compression techniques i.e. Luminous DCt, Biorthogonal DWt, Quadtree Fractal and Huffman compression, are implemented and analyzed based on compression efficiency parameters like compression ratio, PsNR, MsE and ssiM. Here a deep learning based compression technique using stack autoencoder model is also proposed and implemented to compress the image data and result are compared with conventional compression techniques based on compression efficiency parameters. simulation results show that proposed deep learning based compression scheme provides high quality reconstructed images having satisfactory compression ratio. © 2022 iEEE.

关键词： Fractals

来源：评论

学校读者我要写书评

暂无评论

Predicting the Maximum temperature at two Meters Above Earth's surface Using CNN-LstM Attention Mechanism

Predicting the Maximum Temperature at Two Meters Above Earth...

引用

Bit Conference (BitCON), international

作者： Ravi Bhasker Nishant Kumar Ravi Kumar Burman Abhishek Kumar Md. shoaib Alam Kamaldeep Kamaldeep Computer Science and Engineering Jharkhand University of Technology Ranchi India Electronics and Communication Engineering B.I.T. Sindri Dhanbad India Computer Science St.Xavier’s College Ranchi India

ISBN: (数字)9798331518394

ISBN: (纸本)9798331518400

Climate monitoring, energy management, and agriculture are just a few of the sectors that depend on accurate temperature forecasts. By integrating a CNN and LstM with an attention mechanism, this study seeks to develop a more precise temperature forecasting model. Using meteorological data gathered from NAsA's Prediction of Worldwide Energy Resources (POWER) platform, the suggested model is intended to forecast the maximum temperature at two meters above Earth's surface. Benchmarks for comparison are established time series forecasting models like ARiMA and FB Prophet. the attention mechanism helps the CNN-LstM model better focus on significant time steps. CNN layers are used to capture spatial patterns in the data, and LstM layers are used to characterize temporal dependencies. A number of metrics, including RMsE, MAE, RRsE, and R 2 , are used to assess the models' performance. As evidenced by the much reduced RMsE (1.61) and higher R 2 (0.92), the CNN-LstM with attention mechanism performs better than traditional models in temperature prediction, according to the results. As compared to conventional methods, the study finds that deep learning models—especially CNN-LstM with attention—offer a more reliable and accurate method for predicting temperature. this suggests new directions for future research in real-time forecasting, model optimization, and the incorporation of other environmental variables.

关键词： Meters Earth Deep learning temperature distribution Attention mechanisms time series analysis Weather forecasting Predictive models Forecasting Long short term memory

来源：评论

学校读者我要写书评

暂无评论

Assessment on An improved Leach Routing Protocol Using Wireless sensor Network Energy Efficiency 8th

Assessment on An Improved Leach Routing Protocol Using Wirel...

引用

8th international Conference on Microelectronics Electromagnetics and telecommunications, iCMEEt 2023

作者： shasikala, Y. Prabhakara Rao, t. UmaMahesh, Gandhikota Chikkam, satyasravani Laxmi Lydia, E. shichiyakh, Rustem Dept of AIML Aditya Engineering College Atonamous AP Surampalem India Andhra Pradesh Surampalem533437 India Department of CSE Aditya Engineering College Affiliated to JNTUK Surampalem India Dept of CSE Affiliated to JNTUK Aditya Engineering College AP Surampalem India Department of Computer Science and Engineering Vignan’s Institute of Information Technology Visakhapatnam India Economic Sciences Department of Management Kuban State Agrarian University Named After I.T. Trubilin Kalinina Street 13Krasnodar Region Krasnodar350044 Russia

ISBN: (纸本)9789819706433

Now wireless sensor networks were first exclusively utilized for military purposes but have now expanded to include a wide range of applications, they have recently drawn much more interest from researchers. A wireless sensor network is completed up of abundant autonomous, disseminated wireless sensor nodes that are dispersed throughout the world at random. the processing power, memory, and battery life of sensor nodes are constrained by their small size. Because of inadequate battery capacity, wireless sensor networks struggle with energy consumption, which shortens the network’s overall lifespan. the problem with energy usage can be solved using clustering approach. Clustering is a notion that has been employed in hierarchical routing protocols. the widely adopted LEACH protocol is a hierarchical routing protocol that tries to lengthen or improve the lifespan of the whole network. Depending on the energy and distance of the sensor nodes organize in the wireless network;this research modified the LEACH protocol, resulting in a new version of LEACH known as modified Energy-Efficient LEACH (iEE—LEACH). to increase lifetime and compare performance with LEACH and E-LEACH, the proposed iEE-LEACH measures residual energy and the distance as of the Cluster head to the Base station in the WsN. © the Author(s), under exclusive license to springer Nature singapore Pte Ltd. 2024.

关键词： Routing protocols

来源：评论

学校读者我要写书评

暂无评论

Hybrid DNA Differential Methylation Machine Learning technique for Prediction of Mammary Carcinoma

Hybrid DNA Differential Methylation Machine Learning Techniq...

引用

Disruptive technologies (iCDt), international Conference on

作者： Hirdesh sharma Ram Gopal sharma sandeep Mishra Prashant Kumar Mayank Parashar Devanshu Dube Department of Computer Science and Engineering Dronacharya Group of Institutions Greater Noida U.P. India Department of Computer Science and Engineering I.T.S. Engineering College Greater Noida India Department of Computer Science and Engineering IMS Engineering College Ghaziabad U.P. India Department of Computer Applications JIMS Engineering Management Technical Campus Greater Noida U.P. India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

in many parts of the world, breast cancer is the main reason why women pass away. Until the condition has gotten too bad for appropriate therapy, the disease is frequently misdiagnosed. Consequently, minimizing mortality and other associated hazards would be aided by early disease detection. it is tricky to recognize and understand microarray gene expression data, making it difficult to assess and choose the most pertinent group of genes to use as breast cancer indicators. Here, we use a dataset and a variety of machine learning methods, like Random Forest Classification, Naive Bayes, support Vector Machine, Logistic Regression, and Logistic Regression, to create predictions about their future growth. the Breast Cancer Wisconsin Evaluation dataset and Matlab 2018 were used in our study to create a hybrid machine-learning model for quick breast cancer prediction. in comparison to other machine-learning techniques, the highly effective Gradient Boosting classifier has a success rate of 99.78%. the diagnosis, analysis, and prediction of breast cancer could all be revolutionized by this novel method of prediction.

关键词： training support vector machines Logistic regression Biomarkers Feature extraction Breast cancer Vectors Robustness Bayes methods Random forests

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314页 << < 4 5 6 7 8 9 10 11 12 13 > >>

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：