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

630 篇 期刊文献
538 篇 会议

馆藏范围

1,168 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

659 篇 理学
- 542 篇 物理学
- 65 篇 数学
- 38 篇 生物学
- 25 篇 统计学（可授理学、...
- 18 篇 化学
513 篇 工学
- 255 篇 计算机科学与技术...
- 200 篇 软件工程
- 178 篇 核科学与技术
- 99 篇 信息与通信工程
- 81 篇 控制科学与工程
- 69 篇 电气工程
- 54 篇 电子科学与技术（可...
- 40 篇 动力工程及工程热...
- 32 篇 生物医学工程（可授...
- 30 篇 光学工程
- 30 篇 生物工程
- 28 篇 机械工程
- 28 篇 网络空间安全
- 26 篇 安全科学与工程
- 23 篇 仪器科学与技术
- 21 篇 环境科学与工程（可...
- 18 篇 交通运输工程
- 17 篇 石油与天然气工程
- 15 篇 材料科学与工程（可...
93 篇 管理学
- 70 篇 管理科学与工程(可...
- 34 篇 图书情报与档案管...
- 30 篇 工商管理
46 篇 医学
- 40 篇 临床医学
- 36 篇 基础医学(可授医学...
- 24 篇 公共卫生与预防医...
16 篇 法学
11 篇 农学
10 篇 经济学
4 篇 教育学
1 篇 军事学

主题

170 篇 hadron colliders
78 篇 higgs bosons
57 篇 accuracy
49 篇 w & z bosons
43 篇 deep learning
39 篇 relativistic hea...
38 篇 top quark
38 篇 convolutional ne...
34 篇 feature extracti...
33 篇 supersymmetric m...
30 篇 hadron-hadron sc...
30 篇 machine learning
30 篇 quark & gluon je...
26 篇 particle product...
25 篇 training
23 篇 real-time system...
23 篇 extensions of hi...
22 篇 internet of thin...
22 篇 support vector m...
21 篇 hypothetical par...

机构

331 篇 faculty of scien...
331 篇 department for p...
327 篇 kirchhoff-instit...
318 篇 department of ph...
314 篇 department of ph...
304 篇 department of ph...
304 篇 department of ph...
302 篇 yerevan physics ...
299 篇 fakultät für phy...
297 篇 institute of phy...
296 篇 graduate school ...
286 篇 institute of phy...
280 篇 department of ph...
279 篇 instituto de fís...
277 篇 dipartimento di ...
248 篇 department of ph...
246 篇 nikhef national ...
241 篇 irfu cea univers...
228 篇 marian smoluchow...
228 篇 department of ph...

作者

266 篇 c. alexa
264 篇 j. m. izen
262 篇 g. bella
258 篇 j. strandberg
257 篇 d. calvet
257 篇 c. amelung
243 篇 n. orlando
235 篇 y. tayalati
232 篇 s. veneziano
232 篇 g. spigo
232 篇 v. chiarella
225 篇 f. siegert
220 篇 r. ströhmer
218 篇 f. deliot
218 篇 m. rijssenbeek
217 篇 y. abulaiti
216 篇 s. jin
216 篇 g. gaudio
216 篇 s. mohapatra
216 篇 i. van vulpen

语言

1,113 篇 英文
52 篇 其他
4 篇 中文

检索条件"机构=M.Tech Computer Science and Engineering"

共 1168 条记录，以下是421-430 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：

Advanced Cybersecurity: A Comprehensive Overview of an Enhanced Cybersecurity Assisted Cryptography Strategy for Protected Image Communication

Advanced Cybersecurity: A Comprehensive Overview of an Enhan...

引用

Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), International Conference on

作者： S. Ramesh A. Rajalakshmi A Siva Balan Vijaya Vardan Reddy. SP Giri Jayant m Y. Al-Safarini Department of Mechatronics Engineering Rajalakshmi Engineering College Chennai Department of Information Technology Vel tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai Department of ECE Easwari Engineering College Chennai Department of ECE R.M.K. Engineering College Chennai Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur India Division of Research and Development Lovely Professional University Phagwara India Computer Science Department Zarqa University Zarqa Jordan University of Business and Technology Jeddah Saudi Arabia

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

Some problems exist with the classic Elliptic Curve Cryptography (ECC) algorithm, which uses logistic maps as its foundation. We employ an upgraded ECC system to make things more secure. It relies on a location transform and a random sequence to change the pixel values. The Cybersecurity based Cryptography Strategy (CCS) is a new model that improves upon the previous approach in terms of security. It was introduced in this publication. By modifying the values of each pixel, the suggested algorithm shuffles the picture according to the protected sequence. The key uses a secret look-up matrix to generate 32 security key sequences from a given sequence. The encryption key works by operating on n sub-parts of the picture, which increases efficiency. An image encryption technique can be practically tested in matlab. Histogram comparison, correlation coefficient, and secret key sensitivity are some of the ways the algorithm's security is examined. The suggested algorithm can withstand statistical, brute-force, and plain-text attacks with ease. This innovation provides a safer method of guaranteeing the safety of image data, which may be stored anywhere, even on the cloud. We have presented the final product after testing it on many types of photographs. Lastly, the results of the experiments demonstrate that the encryption is well-built and has protection capabilities; moreover, it is able to resist intense, statistical, and differential attacks.

关键词： technological innovation Image coding Sensitivity Shape Transforms Elliptic curve cryptography Vectors Encryption Decoding Testing

来源：评论

学校读者我要写书评

暂无评论

Analyzing the Effect of Eco-Friendly Branding on Consumer Purchasing Decisions on Sustainability in marketing using Data Analytics

Analyzing the Effect of Eco-Friendly Branding on Consumer Pu...

引用

Automation and Computation (AUTOCOm), International Conference on

作者： mageswaran J Tamilselvan P Tamilarasu J Sivasubramani K Tharani Devi Raja Ram Sah School of Management Studies Bannari Amman Institute of Technology Tamil Nadu India Department of Management Studies Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu India Department of Management Studies Nandha Engineering College Tamil Nadu India Department of Management Studies M.Kumarasamy College of Engineering Tamil Nadu India Department of Management Studies Gobi Arts and Science College Tamil Nadu India Department of Computer Science and Engineering Government Engineering College Jehanabad Bihar India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Background: Consumer buying behaviour is increasingly influenced by eco-friendly branding, thus sustainable practices are starting to take front stage in contemporary marketing plans. Companies under increased demand to link their brands with sustainable ideas as consumers become more conscious of the effects they have on the environment. Contribution: This study investigates how environmentally friendly branding influences purchasing decisions keeping customer attitudes as well as behaviour changes in mind. Findings: A comprehensive survey was given to 1,500 persons total throughout the duration of the research and statistical analysis was done with assistance from a simulation tool in order to evaluate changes in consumer sentiment and purchase behaviour. Results: Based on the findings, 48 percent of the participants were ready to pay extra for environmentally friendly products and 72 percent showed an increased tendency to buy from companies deemed to be such. moreover, sixty-four percent of respondents claimed that environmental regulations greatly affected their brand loyalty. These findings emphasise the significance of adding sustainability into marketing plans to establish confidence in a company and to establish long-term ties with contented consumers.

关键词： Surveys Brand management Companies Predictive models market research Regulation Decision trees Sustainable development Analysis of variance Random forests

来源：评论

学校读者我要写书评

暂无评论

Analyzing the Effect of Eco-Friendly Branding on Consumer Purchasing Decisions on Sustainability in marketing using Data Analytics 3

Analyzing the Effect of Eco-Friendly Branding on Consumer Pu...

引用

3rd IEEE International Conference on Automation and Computation, AUTOCOm 2025

作者： mageswaran, J. Tamilselvan, P. Tamilarasu, J. Sivasubramani, K. Devi, Tharani Sah, Raja Ram School of Management Studies Bannari Amman Institute of Technology Tamil Nadu India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Management Studies Tamil Nadu India Nandha Engineering College Department of Management Studies Tamil Nadu India M.Kumarasamy College of Engineering Department of Management Studies Tamil Nadu India Gobi Arts and Science College Department of Management Studies Tamil Nadu India Government Engineering College Department of Computer Science and Engineering Bihar Jehanabad India

ISBN: (纸本)9798331542375

关键词： Environmental regulations

来源：评论

学校读者我要写书评

暂无评论

An Attention mechanism for Forest Tree Segmentation based on Efficient Convolutional Neural Networks

An Attention Mechanism for Forest Tree Segmentation based on...

引用

International Conference on science technology engineering and management (ICONSTEm)

作者： K. Jeevitha Bindhu A Sonia Jenifer Rayen K. Vidhyalakshmi Rajalakshmi. D S. Agnes Shifani Department of Electronics and Communication Engineering R.M.K. Engineering College Chennai Department of Computer Science Infant Jesus College of Arts and Science for Women Mulagumoodu Kanyakumari Department of Information Technology Loyola ICAM College of Engineering and Technology Chennai Department of Information Technology Vel Tech Multitech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai Department of Electronics and Communication Engineering JP College of Engineering Tenkasi

It is critical to have accurate semantic categorization of standing trees in order to extract relevant information about standing trees automatically and efficiently from digital photos. The effective categorization of several standing trees set against complicated backdrops is the goal of various classic approaches, however these methods suffer from drawbacks such as poor segmentation accuracy and the need for human intervention. This article presents modified Convolutional Neural Network,which is based on mobileNet (CNNm), a lightweight network segmented model that is based on deep learning. The goal of this model is to accomplish correct categorization of standing tree photos in an efficient manner. For the purpose of performing multi-scale fusion of the convolutional features of standing trees in images, asemantic segmentation has been selected as the base framework. This decision was made in order to minimize the loss of image edge details that occurs during the standing tree segmentation process, as well as minimize the loss of feature data. mobileNet, which is a lightweight network, has been incorporated into the backbone network in order to minimize the complexity of the computations. The lightweight network segmentation model CNNm based on deep learning that was introduced in this study has the capability of segmenting numerous standing trees with a high degree of precision.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Role of IOT in Creating SC’S through Ultra Fast Updation of the Status for Accurate Action Plan

The Role of IOT in Creating SC’S through Ultra Fast Updatio...

引用

Advance Computing and Innovative technologies in engineering (ICACITE), International Conference on

作者： S Hariharasudhan S. Subasree m. Bhuvaneswari mekvin Victor Rintu Kumar K. Sambath Kumar Department of Information Technology Prince Shri Venkateshwara Padmavathy Engineering College Department of computer science and Engineering Nehru Institute of Engineering and Technology T.M. Palayam Tamil Nadu India Department of Biomedical Engineering Karpagam Academy of Higher Education Coimbatore TN School of Business and Management Christ University Bangalore Department of Mech Engg IES Institute of Technology and Management IES University Bhopal M.P. India Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology (Deemed to be University) Avadi Chennai Tamil Nadu

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

The idea of a smart city includes the merging of technologies and advances aimed at improving urban efficiency, scientific progress, the preservation of the environment, and social inclusion. Coined in the year 2000, the term became widely used in politics, business, management, and urban planning groups to drive tech-based changes in urban areas. It reacts to the difficulties posed by postindustrial communities handling problems such as pollution to the environment, demographic changes, population growth, health care monetary crises, and resource shortages. Beyond technical answers, the smart city idea includes non-technical innovations for healthy urban life. Particularly encouraging is the application that uses Internet of The circumstances (IoT)based sensors in healthcare, applying machine learning for effective data management. This paper discusses the application of AI-powered Ai and Wireless Sensor Networks, more commonly known as the field of health care, acting as a basic study to understand the impact of IoT in smart cities, especially in healthcare, for the sake of future research.

关键词： technological innovation Accuracy Smart cities Sociology medical services machine learning Blockchains

来源：评论

学校读者我要写书评

暂无评论

Intelligent Time management Recommendations Using Bayesian Optimization

Intelligent Time Management Recommendations Using Bayesian O...

引用

Communication, Computing and Signal Processing (IICCCS), IEEE International Conference on

作者： G. Chandramowleeswaran m. Sindhu Haider Alabdeli Anshu mishra Priya Vinod Harmeet Kaur Department of Commerce and Business Administration Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Department Of Computers Techniques Engineering College Of Technical Engineering The Islamic University Najaf Iraq Department Of Computers Techniques Engineering College Of Technical Engineering The Islamic University Of Al Diwaniyah Al Diwaniyah Iraq Department of Computer Science & Engineering IES Institute of Technology and Management IES University Bhopal M.P. India School Of Business And Management Christ University Department of Computer Application Chandigarh Engineering College Chandigarh Group of Colleges Mohali Punjab India

ISBN: (数字)9798350390759

ISBN: (纸本)9798350390766

This paper focuses on the improvement of the intelligent time management system which employ Bayesian optimization for suggesting time management plans for each particular person. In this sense, through historical data of input-output patterns and users’ preferences, the system aims at increasing productivity and user satisfaction. In the study, Gaussian Processes are used as the surrogate model in the Bayesian optimization so that the required evaluations by the algorithm to realize optimal scheduling methodologies are kept to a minimum. Implementation is done as a web application where users submit their tasks and get the recommended schedule instantly. Indicators like, the degree of task accomplishment, time, and scheduling compliance, and probably the users’ satisfaction suggest that system helped enhance time management results. Lack of feedback from the users is removed through questionnaire that reveals the simplicity of the system and the quality of its recommended times, thereby supporting the idea of Bayesian optimization as a game changer in the management of time. This research significance points to the need for maintaining efficient and individualized approaches to time management strategies and agrees with others’ findings, which suggest that this is an area ample fiction research needs to acknowledge and pursue.

关键词： Productivity Schedules Optimal scheduling Transforms User interfaces Signal processing Bayes methods Telecommunication computing Reliability Usability

来源：评论

学校读者我要写书评

暂无评论

Cancer Genomics: Identifying Biomarkers for Early Detection and Treatment

Cancer Genomics: Identifying Biomarkers for Early Detection ...

引用

Communication, Computing and Signal Processing (IICCCS), IEEE International Conference on

作者： Saif O. Husain Amandeep Kaur Chitra S Vivek Sharma marupova manzura Aminovna Rajesh G Department Of Computers Techniques Engineering College Of Technical Engineering The Islamic University Najaf Iraq Department Of Computers Techniques Engineering College Of Technical Engineering The Islamic University Of Al Diwaniyah Al Diwaniyah Iraq Department of Computer Application Chandigarh Engineering College Chandigarh Group of Colleges Mohali Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Department of Information Technology IES University Bhopal M.P. India Fergana Medical Institute of Public Health Fergana Uzbekistan Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (数字)9798350390759

ISBN: (纸本)9798350390766

Genomic sciences, specifically with regards to cancer, has provided optimism in early diagnosis, treatment options by pointing to the molecular basis of cancer. This work aims at defining biomarkers for cancer diagnosis and treatment – or in other words, discovering novel biomarkers for early detection and treatment of cancer using multi-omics data from TCGA and ICGC. Ing data obtained through genome, transcriptome, and proteome studies , we revealed novel biomarkers corresponding to different types of cancer. The aforementioned datasets were processed with the help of random forests and artificial neural networks because these machine learning techniques delivered high biomarker recognition rates. This will incorporate, biomarkers such as BRCA1 for breast cancer and EGFR for lung cancer, showing high sensitivity and specificity levels. It also tackles issues such as tumor heterogeneity and presents a cardiovascular treatment plan that involves multiple disciplines. Interestingly, the assessment of genomics for cancer diagnosis and treatment has outlined such possible avenues for further investigations and practical use in the future. It is positioned in the rapidly expanding field of personalized oncology; this research seeks to improve patients’ lifestyles via the early and accurate identification of cancer.

关键词： Sequential analysis Accuracy Genomics Biomarkers Oncology Turning Telecommunication computing Bioinformatics Cancer Tumors

来源：评论

学校读者我要写书评

暂无评论

Broadband Wavelength Conversion in Integrated Waveguides Based on Intermodal Four-Wave mixing

Broadband Wavelength Conversion in Integrated Waveguides Bas...

引用

2024 Photonics North, PN 2024

作者： Vitali, Valerio Bucio, Thalía Domínguez Liu, Hao González, José manuel Luque Jurado-Romero, Francisco Ortega-moñux, Alejandro Churchill, Glenn Gates, James C. Hillier, James Kalfagiannis, Nikolaos melati, Daniele Schmid, Jens H. Cheben, Pavel Wangüemert-Pérez, J. Gonzalo molina-Fernández, Íñigo Gardes, Frederic Cristiani, Ilaria Petropoulos, Periklis Lacava, Cosimo Electrical Computer and Biomedical Engineering Department University of Pavia Pavia27100 Italy Optoelectronics Research Centre University of Southampton SouthamptonSO17 1BJ United Kingdom Telecommunication Research Institute Universidad de Málaga CEI Andalucía TECH E.T.S.I. Telecomunicación Málaga29010 Spain School of Science and Technology Nottingham Trent University NottinghamNG11 8NS United Kingdom Department of Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands Department of Materials Science and Engineering University of Ioannina Ioannina45110 Greece Centre de Nanosciences et de Nanotechnologies Université Paris-Saclay CNRS Palaiseau91120 France Advanced Electronics and Photonics Research Center National Research Council Canada 1200 Montreal Road OttawaONK1A 0R6 Canada

ISBN: (纸本)9798350366365

The realization of broadband all-optical wavelength converters and frequency synthesizers represents a key element for the development of next-generation optical communications systems. In this regard, the use of intermodal nonlinear processes in integrated waveguides has recently attracted significant interest for all-optical processing applications. Here, we present our recent results on the development of integrated and broadband wavelength converters based on the use of the Bragg scattering intermodal four-wave mixing effect in a silicon-rich silicon nitride platform. © 2024 IEEE.

关键词： Four wave mixing

来源：评论

学校读者我要写书评

暂无评论

A Survey on Video-based Evidence Analysis and Digital Forensic

A Survey on Video-based Evidence Analysis and Digital Forens...

引用

International Conference on Computing methodologies and Communication (ICCmC)

作者： R. V. mante Reshma Khan Assistant Professor Department of Computer Science & Engineering Government College of Engineering Amravati Maharashtra India M.Tech Scholar Department of Computer Science & Engineering Government College of Engineering Amravati Maharashtra India

ISBN: (数字)9781728148892

ISBN: (纸本)9781728148908

In the past couple of decades, the most emerging domain across the globe is Information technology [IT]. It has made a significant contribution in cracking the criminal case and preparing the strong cases in the court of justice. IT technologies have become a vital tool for examination and gathering of the digital evidences. As crime rate is increasing day-by-day, in order to reduce the occurrence of crime and bring the culprit of the crime to justice, the computer forensics plays an indispensable role. With the recent technological developments, it has become more powerful and portable. Large amount of data has created stored and accessed everyday. many technologically advanced devices are acting as repositories for the collected personal information. Such devices remain portable and accessible with a single click or even to the voice command. To have such large-scale information is important to get the conviction for the culprits but at the same time, investigating agencies has to maintain the privacy of the recovered data to make it admissible in the court. This gives rise to the security mechanism for such data. Collection, analysis, investigation and reporting of the digital data come under forensic science, which is a part of digital forensics domain. In this paper, we have presented a review on the existing researches available in the field of video forensic analysis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Banking Security and Customer Experience: Cloud Computing-Enabled KYC in the Digital Era using ANN model

Banking Security and Customer Experience: Cloud Computing-En...

引用

Electrical Electronics and Computing technologies (ICEECT), International Conference on

作者： A. Nithya D. muthukumaran mageshkumar Naarayanasamy Varadarajan K. Sangeethalakshmi R. mahalakshmi C. Srinivasan Department of Information Technology St.Joseph’s Institute of Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Capital One Glen Allen Virginia USA Department of Electronics and Communication Engineering R.M.K. College of Engineering and Technology Chennai Tamil Nadu India Department of Computer Science and Engineering Vinayaka Missions Kirupananda Variyar Engineering College Vinayaka Missions Research Foundation (Deemed to be University) Salem Tamil Nadu India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India

ISBN: (数字)9798350378092

ISBN: (纸本)9798350378108

The research work investigates the innovative notion of IoT-enabled Know Your Customer (KYC) and the revolutionary possibilities of Internet of Things (IoT) in the banking sector. Artificial Neural Network (ANN) models may discover complicated data correlations, making customer verification more accurate and efficient. Banks may automate KYC processes using cloud-based ANN models to speed up client onboarding and transaction approvals in the digital age. The demand for better protection measures, quicker client onboarding, and constant compliance monitoring is rising as the banking industry moves online. Financial institutions may provide a more modern and streamlined client experience by adding IoT devices and technology into the KYC procedure. The system will look at how IoT-based biometric authentication techniques, including face recognition, voice analysis, and geolocation verification, may provide strong identity verification while protecting client data. In this article, the system explores how to give clients more agency via the IoT by integrating wearable devices for safe banking interactions and remote KYC. It also emphasizes the importance of IoT in real-time compliance monitoring, which helps financial institutions spot and stop fraudulent acts as soon as it occurs. This study foresees a future in which an IoT-driven KYC transformation improves banks security, customer experiences, and regulatory compliance efficiency.

关键词： Cloud computing Face recognition Banking Artificial neural networks Biometric authentication Real-time systems Internet of Things Security monitoring Business

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117页 << < 39 40 41 42 43 44 45 46 47 48 > >>

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：