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

2,082 篇 会议
9 册 图书
6 篇 期刊文献

馆藏范围

2,097 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,348 篇 工学
- 1,052 篇 计算机科学与技术...
- 861 篇 软件工程
- 476 篇 信息与通信工程
- 293 篇 控制科学与工程
- 282 篇 生物工程
- 210 篇 电气工程
- 155 篇 网络空间安全
- 141 篇 光学工程
- 139 篇 生物医学工程（可授...
- 133 篇 电子科学与技术（可...
- 126 篇 仪器科学与技术
- 126 篇 安全科学与工程
- 91 篇 机械工程
- 85 篇 化学工程与技术
- 81 篇 动力工程及工程热...
- 74 篇 材料科学与工程（可...
- 67 篇 交通运输工程
764 篇 理学
- 325 篇 数学
- 298 篇 生物学
- 194 篇 物理学
- 143 篇 化学
- 106 篇 统计学（可授理学、...
355 篇 管理学
- 222 篇 管理科学与工程(可...
- 155 篇 图书情报与档案管...
- 89 篇 工商管理
153 篇 医学
- 128 篇 临床医学
- 126 篇 基础医学(可授医学...
- 84 篇 药学(可授医学、理...
- 77 篇 公共卫生与预防医...
71 篇 法学
- 60 篇 社会学
42 篇 农学
36 篇 经济学
23 篇 教育学
6 篇 军事学
1 篇 文学

主题

94 篇 object detection
70 篇 artificial intel...
52 篇 deep learning
48 篇 machine learning
41 篇 internet of thin...
37 篇 feature extracti...
30 篇 intrusion detect...
25 篇 support vector m...
25 篇 anomaly detectio...
25 篇 fault detection
24 篇 face recognition
24 篇 computer vision
21 篇 convolutional ne...
16 篇 convolution
14 篇 image processing
13 篇 real-time system...
12 篇 covid-19
12 篇 network security
12 篇 diseases
10 篇 cameras

机构

38 篇 maharishi school...
34 篇 national univers...
32 篇 the islamic univ...
31 篇 school of comput...
30 篇 uttaranchal inst...
29 篇 chitkara univers...
28 篇 centre of interd...
26 篇 lovely professio...
26 篇 department of ar...
21 篇 uttaranchal univ...
20 篇 vishwakarma inst...
19 篇 college of intel...
18 篇 sr university sc...
16 篇 college of pharm...
15 篇 department of co...
13 篇 school of comput...
13 篇 school of comput...
12 篇 school of comput...
11 篇 school of comput...
11 篇 department of el...

作者

12 篇 rajesh singh
11 篇 singh rajesh
10 篇 malik bader alaz...
8 篇 mohit tiwari
7 篇 yifeng niu
7 篇 kapil joshi
7 篇 wenxing fu
7 篇 gehlot anita
7 篇 mancang gu
7 篇 alazzam malik ba...
7 篇 kumar bura vijay
7 篇 yi qu
7 篇 tiwari mohit
7 篇 anita gehlot
6 篇 alfurhood badria...
6 篇 joshi kapil
6 篇 malik praveen ku...
6 篇 bura vijay kumar
6 篇 chauhan rahul
6 篇 badria sulaiman ...

语言

2,034 篇 英文
63 篇 其他
11 篇 中文

检索条件"任意字段=2023 3rd International Conference on Detection Technology and Intelligence System, DTIS 2023"

共 2097 条记录，以下是2071-2080 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：

Heterogeneous Wireless Access Networks for IoT and E-Health-A Survey

Heterogeneous Wireless Access Networks for IoT and E-Health-...

引用

Advancement in Electronics & Communication Engineering (AECE), international conference on

作者： Ramiz Salama Chadi Altrjman Fadi Al-Turjman Satya Prakash Yadav Satvik Vats Department of Computer Engineering AI and Robotics Institute Research Center for AI and IoT. Near East University Near East Boulevard Nicosia TURKIYE Department of Chemical Engineering Waterloo University ON Canada Artificial Intelligence Engineering Dept AI and Robotics Institute Near East University Nicosia Turkey Department of Computer Science and Engineering G.L. Bajaj Institute of Technology and Management(GLBITM) Greater Noida India Department of Computer Science and Engineering Graphic Era Hill University Dehradun India

In a heterogeneous wireless environment, there are many different radio access technologies (RATs), such as Wi-Fi and 2G, 3G, 4G, and 5G, which each have a different degree of coverage and processing power to meet various service requirements. A mobile user may have access to various access networks in such a situation. On the PC of each user, numerous programs with varied Quality of Service (QoS) requirements can operate simultaneously. It would be advantageous for a multi-interface terminal to use two or more interfaces simultaneously in order to improve performance. However, using multiple networks at once could use up more energy than just using one interface. Therefore, energy use must to be taken into account when analyzing the Flow/Interface Relationship (FIA). This paper presents a novel method for choosing the ideal FIA that achieves the best trade-off between all the characteristics taken into account, dubbed Smart Tabu Search (STS). STS considers user preferences, network circumstances, network expenses, application QoS specifications, and battery life of mobile devices. We use simulations and testbed experiments to validate our concept. Professionals are now able to diagnose and monitor patients remotely because to the growing use of healthcare monitoring devices. One of the most frequent occurrences that affects the reliability of information transmission in any network is congestion, which is defined as the unchecked increase in traffic relative to network capacity. With the use of a mesh network, wireless sensors, and some of the most significant models for vital signs, the article aims to provide a realistic simulation environment for a healthcare system. The simulator environment is a helpful tool for assessing the dependability and effectiveness of the healthcare system in a realistic setting. However, the system is not appropriate for real-time applications due to the sluggish network adaption caused by the end-to-end based traffic regulation deci

关键词：

来源：评论

学校读者我要写书评

暂无评论

A detection and Classification Method of Asphalt Pavement Crack based on Vision Transformer 23

A Detection and Classification Method of Asphalt Pavement Cr...

引用

Proceedings of the 2023 3rd international conference on Big Data, Artificial intelligence and Risk Management

作者： Yulong Yang Chen Guo Chen Zuo Bingxin Yang School of Information Engineering Chang? an University China College of Transportation Engineering Chang? an University China

ISBN: (纸本)9798400716478

Road surface distress detection is an important component of smart maintenance of transportation infrastructure, and crack damage is a common and far-reaching category of distress. Accurately and quickly detecting road cracks is of great significance for road prevention work. In recent years, the deep learning technology represented by convolutional neural networks has been widely used in the field of road damage detection. However, the convolutional neural network relies on a stack of convolutional layers to extract visual features from training images. Constrained by its ability to characterize long-distance correlations, it is challenging to apply convolutional neural network to tackle transverse cracks and longitudinal cracks in the real-world scenario. As an emerging deep learning architecture, Transformer model has received considerable attention in the fields of natural language processing and computer vision. In this paper, we employ the Vision Transformer (ViT) to realize road damage classification. First, the histogram equalization technique is adopted to fulfill image preprocessing. The program enhances image contrast and eliminates the influence of illumination variation. Second, ViT, ResNet, DenseNet, and EfficientNet are separately implemented. We expand the training dataset with the data augmentation technique. Third, the computer evaluates the classification quality by means of accuracy, F1-score, and recall. A group of datasets of varying size are used to examine deep neural networks. The experiment result indicates that ViT outperforms CNN models in terms of classification quality. The long-range crack structures are reasonably identified by a fine-tune ViT model.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Most Efficient and Accurate Face Mask detection in Crowded Area using Machine Learning Algorithm

The Most Efficient and Accurate Face Mask Detection in Crowd...

引用

Advance Computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： R. Josphineleela Vipul Vekariya B. Bharathidasan Badria Sulaiman Alfurhood V. Pradeep Kumar Vikas Tripathi Panimalar Engineering College Department of CSE Parul Institute of Engineering and Technology Parul University Vadodara Gujarat India ECE Sree Rama Engineering College Tirupati India Department of Computer Sciences College of Computer Information Sciences Princess Nourah Bint Abdulrahman University Saudi Arabia CSE B V Raju Institute of Technology Narsapur Telangana India Department of CSE Graphic Era Deemed to be University Dehradun Uttarakhand India

Since 2019, the COVID-19 epidemic has been rapidly spreading throughout the world. The complexity and volubility of human existence have increased as a result of the epidemic. As a consequence of this infection, many individuals have perished. One of the elements promoting the spread of the Covid-19 virus is the absence of antiviral medications. This illness is spreading swiftly and readily because of a number of universal human flaws, including the way sick people breathe, cough, and sneeze. The primary symptom is the typical flu. Therefore, the greatest defence against this sickness in the current situation is a face mask that totally covers the mouth and the nose. It still causes damage to several people and organisations in 2022. While the world heals from the virus and prepares to resume regular operations, everyone feels tension, particularly those who will continue to communicate in person. According to studies, having insurance not only provides a means of confidence but also greatly reduces the probability of an irresistible expert action. The solution to solving this issue and minimising this downside lies in this effort and innovation. It provides a broad, a system built around deep learning for spotting situations were face masks were not worn as planned. We are shielded as from symptoms of many ailments by the mask. Given the epidemic concern, gloves now are widely accepted to be necessary. The Covid virus spreads to new persons because there is a dearth of understanding about face masks as a result of the quick decline in Covid cases. Despite the fact that fewer occurrences occurred as a result of the efforts of many, people began to disregard the face masks. To combat the Corona disease, various simple tools will be required. One of the most basic is the face mask. Although nobody was required to cover their face at first, experts and medical professionals now recommend that everyone do *** may now be used by the general public for a number of pur

关键词：

来源：评论

学校读者我要写书评

暂无评论

Advancing Educational Content Classification via Reinforcement Learning-Integrated Bloom’s Taxonomy

Advancing Educational Content Classification via Reinforceme...

引用

Digital Society and Intelligent systems (DSInS), international conference on

作者： Thanveer Shaik Xiaohui Tao Lin Li Christopher Dann Yuan Sun Yi Sun School of Mathematics Physics and Computing University of Southern Queensland Australia School of Computer Science and Artificial Intelligence Wuhan University of Technology China School of Education University of Southern Queensland Australia Information and Society Research Division NII Library Japan School of Computer Science and Technology University of Academic of Sciences China

ISBN: (数字)9798350331387

ISBN: (纸本)9798350331394

The digital evolution of education has highlighted the transformative potential of artificial intelligence (AI) in reshaping teaching and learning practices. This paper presents a groundbreaking methodology that combines the capabilities of reinforcement learning with the depth of multimodal data analysis, aiming to accurately categorize educational content according to Bloom’s Taxonomy. Despite the advancements in AI-based educational tools, challenges remain in ensuring precise and contextually relevant taxonomy level classifications. Our proposed approach addresses these issues by capitalizing on the sequential decision-making power of reinforcement learning, as well as the comprehensive nature of multimodal data. This methodology is executed through systematic data collection and representation, thoughtful configuration of reinforcement learning algorithms, and rigorous agent training. Two case studies serve to underline its efficacy: the first offers sophisticated insights for refining curriculum design, while the second demonstrates the system’s ability to adaptively select appropriate taxonomy levels. This innovation not only provides educators with data-driven resources but also fosters a unique synergy between human expertise and AI-generated insights, thereby enhancing pedagogical decisions and marking a significant stride toward a future of data-informed education.

关键词： Training Technological innovation Data analysis systematics Navigation Taxonomy Decision making

来源：评论

学校读者我要写书评

暂无评论

Development of 3D Viscoelastic Crustal Deformation Analysis Solver with Data-Driven Method on GPU 23rd

Development of 3D Viscoelastic Crustal Deformation Analysis...

引用

23rd international conference on Computational Science, ICCS 2023

作者： Murakami, Sota Fujita, Kohei Ichimura, Tsuyoshi Hori, Takane Hori, Muneo Lalith, Maddegedara Ueda, Naonori Earthquake Research Institute and Department of Civil Engineering The University of Tokyo Tokyo Japan Center for Computational Science RIKEN Kobe Japan Japan Agency for Marine-Earth Science and Technology Yokohama Japan Center for Advanced Intelligence Project RIKEN Tokyo Japan

ISBN: (纸本)9783031360206

In this paper, we developed a 3D viscoelastic analysis solver with a data-driven method on GPUs for fast computation of highly detailed 3D crustal structure models. Here, the initial solution is obtained with high accuracy using a data-driven predictor based on previous time-step results, which reduces the number of multi-grid solver iterations and thus reduces the computation cost. To realize memory saving and high performance on GPUs, the previous time step results are compressed by multiplying a random matrix, and multiple Green’s functions are solved simultaneously to improve the memory-bound matrix-vector product kernel. The developed GPU-based solver attained an 8.6-fold speedup from the state-of-art multi-grid solver when measured on compute nodes of AI Bridging Cloud Infrastructure at National Institute of Advanced Industrial Science and technology. The fast analysis method enabled calculating 372 viscoelastic Green’s functions for a large-scale 3D crustal model of the Nankai Trough region with 4.2 × 10 9 degrees of freedom within 333 s per time step using 160 A100 GPUs, and such results were used to estimate coseismic slip distribution. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Finite element method

来源：评论

学校读者我要写书评

暂无评论

Hybrid Algorithms based Software Development system using Artificial intelligence for the Business Development

Hybrid Algorithms based Software Development System using Ar...

引用

Advance Computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Deepali S Hirolikar Raman R. Tirpude Rithik. B Sony Varghese Shalu Saraswat Anu Jayalwal Information Technology PDEA’S College of Engineering Manjari Bk Pune Department of Management Maharashtra National Law University Nagpur India Electronics and Communication JSS Academy of Technical Education Bangalore Management Xavier Institute of Management & Entrepreneurship Kochi India SPPU Pune Maharashtra Computer Science Sushant University India

In this essay, we look at how to provide a product to a consumer as quickly as possible without compromising its quality. We’ll show how putting six continuous architectural principles into practise will help us ensure the quality of the finished project while shortening the manufacturing cycle. Prior to reducing costs, it’s important to provide the things as fast as feasible. We can do this by using a variety of strategies, such availability plans, that enable us to maintain the greatest levels of quality, just as the software team was able to. He talks about these approaches, as well as a few more, for delivering top-notch printer software designs quickly. India has a big food-related industry, principal means of support. In this essay, I want to look at how to provide items to customers as quickly as possible without sacrificing product quality. Even while making enhancements, we will consider how the six comparable design components may ensure that the finished product has the highest possible quality in the shortest period of time possible. Giving excellent goods quickly and doing them effectively are both essential. To do this, we may use a range of strategies, such as unavailability techniques, which enable us to maintain the highest level of accuracy that our team of engineers is capable of. He discusses these methods and a few options for the goods’ distribution. Using this stock market idea, growers can sell their goods at the highest bidder pricing. Farmers that fill out this form may register themselves and have access to a variety of facilities, such as market alerts, merchant engagement, assessments, and more. The creation of knowledge devices, automated weapon systems,[1] language comprehension, computer vision, legal analysis, and agricultural monitoring are just a few examples of the many uses for data modelling. The problem of the expanding global agricultural output will be addressed by the employment of Al in contemporary agriculture. Based on Al

关键词：

来源：评论

学校读者我要写书评

暂无评论

Writer-Autonomous Offline Autograph detection Founded upon Histogram of Oriented Gradients (HOGs) Feature 1

引用

3rd international conference on Machine intelligence and Smart systems, MISS 2023

作者： Sharma, Rashmi Agarwal, Shikha Chaudhary, Aarti Malik, Ashish Ajay Kumar Garg Engineering College U.P. Ghaziabad India Axis Institute of Technology and Management U.P. Kanpur India

ISBN: (数字)9783031317231

ISBN: (纸本)9783031317224

The goal of signature verification systems is to ascertain whether or not a given signature is genuine (i.e., made by the individual who is being claimed as the signer) or whether it is a forgery (produced by an impostor). This is a difficult procedure in general, but it is especially challenging in an offline (static) case that involves scanned signature images. A handwritten signature has a significant advantage over other types of biometric technology, such as fingerprint or voice verification, due to the fact that it is the form of identity verification that is most frequently recognised as a biometric. Within the scope of this study, Offline HOG-based Signature Recognition is presented. This technique counts the occurrences of discrete regions within a picture by using the direction of gradients present in those regions. In order to accomplish this, we employ a very small grid that has very small cells for the computation of characteristics. The recognition algorithm that is employed is called KNN. During the course of the tests, a total of 60 photographs were used for evaluation, while the remaining 100 were used for training. We present evidence that demonstrates that the derived FAR for a K = 1 population of FDs and HOGs is 0.1857 and 0.0600, respectively. It was discovered that HOG had a higher level of recognition accuracy than FD features. Within the scope of this case study, we present the recognition results for ten participants, with each subject having been trained on ten photographs and having been tested on six images. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Photography

来源：评论

学校读者我要写书评

暂无评论

Expression of Concern for: Exploring the Use of Machine Learning Techniques for Enhancing Real-Time Data Access

Expression of Concern for: Exploring the Use of Machine Lear...

引用

Smart Generation Computing, Communication and Networking (SMART GENCON), international conference on

作者： Sourav Rampal Shreenidhi H S Manish Shrivastava Akhilendra Pratap Singh Reena R Santosh D. Kumar Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and technology Chitkara University Punjab India Computer Science and Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Bangalore Karnataka India Department of Computer Science & Engineering Vivekananda Global University Jaipur India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Department of Computer Science and Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Artificial Intelligence & Data Science Vishwakarma Institute of Information Technology Pune INDIA

ISBN: (数字)9798350319125

ISBN: (纸本)9798350319132

Actual-time statistics to date has updated, increasingly vital as the quantity of virtual information maintains updated growth. Effective choice-making depends on the capability to update access and analyze records. Device up-to-date techniques provide the capacity up-to-date enhance actual-time statistics up-to-date by using offering insights from disparate pieces of information. This paper addresses the potential benefits of using a system with date knowledge and updated, up-to-date strategies to broaden extra clever statistics up to date updated systems. It summarizes the contemporary nation of the art and highlights studies in machine learning and up-to-date imaginative and prescient real-time information up-to-date. It additionally discusses present-day challenges and shows viable instructions for future studies. The studies network up-to-date recall how gadgets are up to date know that updated strategies may be used to facilitate real-time get entry updated the maximum precious pieces of facts.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Impact of Advanced Innovations on Solar Panel Efficiency and Adoption

Impact of Advanced Innovations on Solar Panel Efficiency and...

引用

Creative Communication and Innovative technology (ICCIT), IEEE

作者： Ignatius Agus Supriyono Sudaryono Nur Azizah Noor Azura Zakaria Muchlishina Madani Department of Computer System University of Raharja Tangerang Indonesia Department of Informatic Engineering University of Raharja Tangerang Indonesia Department of Information Systems University of Raharja Tangerang Indonesia Department of Computer Science International Islamic University Malaysia Kuala Lumpur Selangor

ISBN: (数字)9798350367492

ISBN: (纸本)9798350367508

The rapid advancement of new technologies has significantly impacted the solar energy industry. This study explores how innovative technologies such as artificial intelligence (AI), the Internet of Things (IoT), and advanced materials affect the performance and adoption of solar panels. Using data from global solar panel manufacturers and adoption rates from 2010 to 2023, we aim to show how these technologies improve efficiency, reduce costs, and drive widespread adoption. Our findings indicate that integrating AI and IoT into solar panel systems significantly boosts efficiency by optimizing energy output and predictive maintenance. Advanced materials, especially in photovoltaic cells, have greatly improved energy conversion rates. These advancements lower production and maintenance costs and enhance the reliability and lifespan of solar panels, making them more attractive to consumers and investors. Regions with supportive regulations and financial incentives see higher adoption rates and better performance improvements. This research provides valuable insights for policymakers, industry stakeholders, and researchers, highlighting the importance of technological innovation in achieving sustainable energy goals. By addressing key factors that influence solar panel performance and adoption, this study contributes to the broader discussion on renewable energy development and the transition to a low carbon economy. Future research should focus on long-term studies to assess the lasting impacts of these technologies on the solar energy market.

关键词： Industries Technological innovation Renewable energy sources Costs Photovoltaic cells Solar energy Solar panels Internet of Things Stakeholders Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Expression of Concern for: Investigating the Benefits of Machine Learning Algorithms for Text Classification

Expression of Concern for: Investigating the Benefits of Mac...

引用

Smart Generation Computing, Communication and Networking (SMART GENCON), international conference on

作者： Gowrishankar J Vinithra Banu. T Parikshit N Vandana Singh Hitesh Kalra Girija Shankar Sahoo Department of Computer Science Engineering Faculty of Engineering and Technology JAIN (Deemed-to-be University) Ramnagar Karnataka India Department of Mechanical Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Department of Artificial Intelligence & Data Science Vishwakarma Institute of Information Technology Pune INDIA Department of Computer Science & Engineering Vivekananda Global University Jaipur India Centre of Interdisciplinary Research in Business and Technology Chitkara University Institute of Engineering and technology Chitkara University Punjab India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (数字)9798350319125

ISBN: (纸本)9798350319132

This paper affords a research into using gadget studying algorithms for textual content category duties, with a focal point on understanding the importance of these algorithms and their ability to enhance the accuracy of textual content classification. it's miles located that, while conventional techniques, which include rule based models and hand-engineered features, can attain first-class outcomes, there are compelling motives to explore the capability of device getting to know algorithms to further improve the accuracy and performance of textual content class. The paper discusses the 3 maximum famous gadget gaining knowledge of algorithms for this project: the NaÏve Bayes classifier, help Vector Machines, and synthetic Neural Networks, and presents a top level view of the latest research findings that demonstrate the prevalence of these algorithms over traditional methods. The paper additionally presents an outline of the distinctive approaches for introducing era into text type, and discusses modern-day strategies for implementing and deploying those algorithms. Finally, the paper outlines ability areas for destiny research associated with information the results of system studying algorithms for this mission, and suggests viable instructions for exploration.

关键词：

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共210页 << < 201 202 203 204 205 206 207 208 209 210 > >>

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：