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

113 篇 会议
2 篇 期刊文献

馆藏范围

115 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

47 篇 工学
- 43 篇 计算机科学与技术...
- 28 篇 软件工程
- 7 篇 电气工程
- 6 篇 控制科学与工程
- 5 篇 光学工程
- 5 篇 建筑学
- 5 篇 土木工程
- 5 篇 测绘科学与技术
- 4 篇 信息与通信工程
- 4 篇 生物医学工程（可授...
- 2 篇 动力工程及工程热...
- 2 篇 石油与天然气工程
- 2 篇 交通运输工程
- 2 篇 农业工程
- 2 篇 环境科学与工程（可...
13 篇 理学
- 9 篇 数学
- 8 篇 统计学（可授理学、...
- 3 篇 物理学
- 2 篇 大气科学
- 2 篇 生物学
12 篇 管理学
- 9 篇 管理科学与工程(可...
- 6 篇 工商管理
- 5 篇 图书情报与档案管...
9 篇 医学
- 7 篇 临床医学
- 6 篇 基础医学(可授医学...
- 6 篇 公共卫生与预防医...
7 篇 教育学
- 7 篇 教育学
3 篇 经济学
- 3 篇 应用经济学
2 篇 农学
- 2 篇 作物学
1 篇 法学
- 1 篇 社会学

主题

48 篇 visualization
20 篇 data visualizati...
16 篇 accuracy
13 篇 engineering in m...
10 篇 electroencephalo...
9 篇 real-time system...
8 篇 training
7 篇 feature extracti...
5 篇 deep learning
5 篇 magnetic resonan...
5 篇 data mining
5 篇 market research
5 篇 predictive model...
5 篇 usability
5 篇 data models
5 篇 robustness
4 篇 brain modeling
4 篇 decoding
4 篇 measurement
3 篇 videos

机构

2 篇 univ konstanz co...
2 篇 department of co...
2 篇 department of co...
2 篇 school of comput...
2 篇 department of co...
2 篇 department of el...
1 篇 department of ro...
1 篇 college of cyber...
1 篇 department of co...
1 篇 faculty of engin...
1 篇 computer informa...
1 篇 soka university ...
1 篇 china institute ...
1 篇 waseda research ...
1 篇 univ amsterdam
1 篇 department of co...
1 篇 imagineering ins...
1 篇 department of ph...
1 篇 ai center of exc...
1 篇 shanghai advance...

作者

3 篇 armin iraji
3 篇 vince d. calhoun
2 篇 minpeng xu
2 篇 suhartono
2 篇 dong ming
1 篇 zhai duanqiang
1 篇 malyn-smith joyc...
1 篇 haifeng yue
1 篇 cory stevenson
1 篇 harpstead erik
1 篇 kumar prasanna d...
1 篇 taibo javier
1 篇 pappalardo franc...
1 篇 milan f. satcher
1 篇 renz matthias
1 篇 shivani sista
1 篇 gagnon david j.
1 篇 mateusz wolak
1 篇 ya zhang
1 篇 d'amico alessand...

语言

113 篇 英文
2 篇 其他
1 篇 中文

检索条件"任意字段=2024 Conference on Visualization in Data Science-VDS-Annual"

共 115 条记录，以下是101-110 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 Novel SSVEP Modulation Method Utilizing VR-Based Binocular Vision

A Novel SSVEP Modulation Method Utilizing VR-Based Binocular...

引用

annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Haifeng Liu Zhengyu Wang Ruxue Li Xi Zhao Tianheng Xu Ting Zhou Honglin Hu School of Information Science and Technology ShanghaiTech University Shanghai China Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai China School of Microelectronics Shanghai University Shanghai China Shanghai Frontier Innovation Research Institute Shanghai China University of Chinese Academy of Sciences Beijing China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

This paper presents a novel method for modulating steady-state visual evoked potentials (SSVEP) based on binocular vision in virtual reality (VR). The method involves displaying monocular frequencies in the left and right view of VR to encode nine binocular targets using only two frequencies. We constructed a VR-BCI system and validated the effectiveness of this binocular-encoded paradigm through the task-related component analysis (TRCA) algorithm, which is a supervised approach based on individual templates. The results showed a recognition accuracy of 79.05% and an information transfer rate (ITR) of 43.38 bits/min with a data length of 2 seconds. The electroencephalography (EEG) responses of the binocular combinations exhibited unique characteristics compared to traditional SSVEP, suggesting potential for further optimization in terms of performance. This proposed method reduces the frequency requirements for encoding SSVEP-speller and highlights the potential of VR-BCI in utilizing binocular characteristics, which could contribute to the practicality and high-speed implementation of SSVEP-based brain-computer interface (BCI) systems.

关键词： Electric potential visualization Frequency modulation Virtual reality Electroencephalography Encoding Brain-computer interfaces Steady-state Engineering in medicine and biology Optimization

来源：评论

学校读者我要写书评

暂无评论

Path-based Differential Analysis in Near-centenarians and Centenarians Brain Network

Path-based Differential Analysis in Near-centenarians and Ce...

引用

annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Haleh Falakshahi Hooman Rokham Vince D. Calhoun Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology and Emory University Atlanta United States

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Investigating brain networks in dementia-free centenarians offers a unique opportunity to uncover distinctive characteristics contributing to the preservation of cognitive function into their eleventh decade of life. While graph theory techniques have been widely applied in aging studies, the predominant focus has been on graph metrics, with minimal attention given to the intricate information embedded in paths. A more comprehensive understanding of how these paths are disrupted could yield invaluable insights. In this study, we introduce a novel approach to estimating brain graphs for both younger and centenarian groups using a Gaussian graphical model. Employing graph theory, we pinpoint edges within the centenarian group graph that either initiate additional paths or exhibit absent paths compared to the younger group. Our results reveal two critical edges associated with disconnections within and between functional domains. Specifically, one edge pertains to the connection between the visual and cognitive control domains, while the other involves disconnection within the cognitive control domain. The identification of these edges not only advances our understanding of brain networks in centenarians but also sheds light on potential implications for cognitive function. By elucidating disruptions in specific pathways, this research contributes to a more nuanced comprehension of the neural mechanisms underlying successful cognitive aging. Such insights may pave the way for targeted interventions and therapeutic strategies to promote cognitive health in aging populations.

关键词： Measurement visualization Graphical models Biological system modeling Image edge detection Aging Functional magnetic resonance imaging Brain modeling Solids Graph theory

来源：评论

学校读者我要写书评

暂无评论

ECSeg: Edge-Cloud Switched Image Segmentation for Autonomous Vehicles

ECSeg: Edge-Cloud Switched Image Segmentation for Autonomous...

引用

IEEE Communications Society conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Siyuan Zhou Duc Van Le Rui Tan College of Computing and Data Science Nanyang Technological University Singapore

ISBN: (数字)9798331519186

ISBN: (纸本)9798331519193

Existing autonomous vehicles have not utilized the cloud computing for execution of their deep learning-based driving tasks due to the long vehicle-to-cloud communication latency. Meanwhile, the vehicles are in general equipped with the resource-constrained edge computing devices which may be unable to execute the compute-intensive deep learning models in real time. The increasing data transmission speed of the commercial mobile networks sheds light upon the feasibility of using the cloud computing for autonomous driving. Our city-scale real-world measurements show that the vehicles can partially use the cloud computing via the fifth generation (5G) mobile network with the low data transmission latency. In this paper, we present the design and implementation of ECSeg, an edge-cloud switched image segmentation system that dynamically switches between the edge and cloud for executing the deep learning-based semantic segmentation models to understand the vehicle's visual scenes in real time. The switching decision-making is challenging due to the intricate interdependencies among various factors including the dynamic wireless channel condition, vehicle's movement and visual scene change. To this end, we employ deep reinforcement learning to learn an optimal switching policy. Extensive evaluation based on both real-world experiments and trace-driven simulations demonstrates that ECSeg achieves superior image segmentation accuracy for autonomous vehicles, compared with four baseline approaches.

关键词： Image segmentation Cloud computing visualization Image edge detection Switches Deep reinforcement learning Real-time systems data communication Vehicle dynamics Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Revealing Alzheimer's Disease Dementia Patterns in [18F]Florbetapir PET with Independent Component Analysis

Revealing Alzheimer's Disease Dementia Patterns in [18F]Flor...

引用

annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Nigar Khasayeva Cyrus Eierud Kyle M. Jensen Enrico Premi Barbara Borroni Vince D. Calhoun Armin Iraji Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Atlanta GA USA Stroke Unit ASST Spedali Civili Spedali Civili Hospital Brescia Italy Department of Clinical and Experimental Sciences University of Brescia Italy Department of Continuity of Care and Frailty ASST Spedali Civili Brescia Italy

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

This study investigates Alzheimer’s Disease (AD) dementia through [18F]Florbetapir ([18F]FBP) Positron Emission Tomography (PET) imaging. We employ Independent Component Analysis (ICA) to identify shared latent patterns across controls and individuals with Dementia. The dataset comprises PET brain images from 440 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). After visual inspection, nine independent components (IC) were selected, including visual, salience, default mode, cerebellum, left and right temporal, motor, frontal, and subcortical/brainstem. A Generalized Linear Model (GLM) analysis was performed on the IC weights to evaluate group differences. Salience, default mode, left and right temporal, and frontal components displayed a significant group effect with increased weights in the AD dementia group. Notably, the salience and frontal components demonstrated a significant interaction effect of diagnosis with age. This study emphasizes the potential of ICA in conjunction with [18F]FBP PET imaging to provide valuable insights into the neurobiology of AD dementia.

关键词： Neuroimaging visualization Imaging Independent component analysis Positrons Inspection Motors Positron emission tomography Alzheimer's disease Integrated circuit modeling

来源：评论

学校读者我要写书评

暂无评论

Real-Time Plant Disease Detection Using YOLOv5 and Autonomous Robotic Platforms for Scalable Crop Monitoring

Real-Time Plant Disease Detection Using YOLOv5 and Autonomou...

引用

International conference on Cybernetics, Robotics and Control (CRC)

作者： M. Hassan Tanveer Zainab Fatima Muzammil Ali Khan Razvan Cristian Voicu M. Farrukh Shahid Department of Robotics and Mechatronics Engineering Kennesaw State University Marietta USA Department of Software Engineering NED University of Engineering and Technology Karachi Pakistan Department of AI and Data Science FAST University of computing and Emerging Science Karachi Pakistan

ISBN: (数字)9798331517489

ISBN: (纸本)9798331517496

Plant diseases pose a significant threat to global food security, with annual losses amounting to billions of dollars. Early detection and intervention are critical for mitigating these losses. Traditional methods of disease detection, such as visual inspection, are time-consuming, labor-intensive, and often inefficient. This paper presents an advanced approach using the YOLOv5 (You Only Look Once) model, a state-of-the-art object detection algorithm, to identify and classify plant diseases in real-time. The YOLOv5 model offers high accuracy and efficiency, particularly for tasks requiring simultaneous detection of multiple objects, making it ideal for agricultural applications. This paper explores using novel data collection methods, such as mounting cameras on Husky UGV (Unmanned Ground Vehicle), to capture diverse images of crops from various angles in the field. These autonomous systems enhance dataset variety, contributing to more accurate detection results. Our methodology focuses on training the YOLOv5 model using annotated datasets, which enables the model to identify diseases such as apple rust leaf, bell pepper leaf spot, and others. The experimental results demonstrate a detection accuracy of 92 %, showcasing the potential of YOLOv5 for realtime crop disease monitoring. Integrating robotics for field analysis is further discussed as a future direction, providing a scalable solution for continuous crop monitoring and disease management.

关键词： YOLO Plant diseases visualization Accuracy Autonomous systems Crops Food security Real-time systems Robots Monitoring

来源：评论

学校读者我要写书评

暂无评论

A Method of Cross-Subject Transfer Learning for Ultra Short Time SSVEP Classification

A Method of Cross-Subject Transfer Learning for Ultra Short ...

引用

annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Hongzhuo Kang Naqin Bao Huanzi Liu Chaoyi Dong Dongyang Lei Xiaoyan Chen College of Electric Power Inner Mongolia University of Technology Hohhot China Ministry of Education Inner Mongolia Autonomous Region College of Electric Power Inner Mongolia University of Technology Intelligent Energy Technology and Equipment Engineering Research Centre of Colleges and Universities in Inner Mongolia Autonomous Region Engineering Research Center of Large Energy Storage Technology Hohhot China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

The steady-state visual evoked potentials (SSVEP) based brain-computer interfaces (BCIs) require extensive training data for efficient classification, but existing algorithms struggle with ultra short time inputs (less than 0.2 seconds), limiting the feasibility of real-time systems. This paper proposes a novel method CSA-GSDANN consisting of CSA and GSDANN. GSDANN improves SSVEP feature extraction performance in ultra short time input scenarios by applying cross-subject transfer learning techniques, combining a Global Attention Mechanism (GAM) and an optimized SSVEPNet and pre-training method CSA selects the most suitable source subject based on accuracy and aligns it with the target subject to address the inter-subject variability. The proposed CSA-GSDANN method adopts a Domain Adversarial Neural Network (DANN) framework, which integrates an enhanced SSVEPNet algorithm with an attention mechanism to extract features from electroencephalogram (EEG) data within and across subjects. The extracted features undergo domain-adversarial transfer learning. The final stage involves frequency signal classification using a constrained convolutional network. The evaluation of the CSA-GSDANN method on the IMUT dataset containing 12 subjects shows significant improvements. A comparative analysis against eight mainstream deep learning and traditional algorithms demonstrates an average accuracy enhancement of 4.23% and an average Information Transfer Rate (ITR) improvement of 50.482 bits/min compared to state-of-the-art classification algorithms under short time (0.2s) EEG inputs, substantially improving SSVEP classification performance.

关键词： Deep learning visualization Accuracy Attention mechanisms Transfer learning Feature extraction Electroencephalography Real-time systems Brain-computer interfaces Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Measuring Skin Temperature as an Indicator for Cognitive Flow Using a Wrist-worn Wearable

Measuring Skin Temperature as an Indicator for Cognitive Flo...

引用

annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： William Romine Tanvi Banerjee Noah Schroeder Department of Biological Sciences Wright State University Dayton OH USA Department of Computer Science Wright State University Dayton OH USA Department of Leadership Studies in Education Wright State University Dayton OH USA

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

As traditional fitness sensors have revolutionized engagement in exercise through continuous feedback on physical effort and exertion, continuous feedback provided by wearable sensors can help us optimize our mental engagement and experience. To that end, our research focuses on developing a framework for measuring cognitive flow using physiological data which can be readily collected through wrist-worn wearable sensors. Previous research suggests that movement and skin temperature are strong predictors of flow state. While movement is a precursor to flow in many cases, an increase in skin temperature is an outcome of being in flow and may be a robust predictor for flow across many types of activities. In this study, we compare skin temperature trajectories between activities which are conducive to flow and those which are not conducive to flow and evaluate the efficacy of the trajectory curve parameters in predicting flow. In this case study, we collected data from a single participant across 79 unique activities. Based on visual inspection of the trajectories, the polynomial family of models was employed, and we found that a third-order polynomial provided the best balance between fit and parsimony. The trajectory parameters and r-square fit index for each activity resulted in predictions of moderate accuracy (AUC > 0.7). Statistical models suggest that being in flow is indicated by a positive skin temperature trajectory. In future research, we hope to apply this model across multiple individuals within an expanded scope of activities. Such a tool can be used to assist individuals with different abilities and needs in achieving mental flow for learning tasks.

关键词： Temperature measurement Temperature sensors visualization Temperature distribution Inspection Skin Polynomials Physiology Trajectory Wearable sensors

来源：评论

学校读者我要写书评

暂无评论

An online brain-computer interface for a precise positioning of target based on rapid serial visual presentation

An online brain-computer interface for a precise positioning...

引用

annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Jiayuan Meng Mingming Yang Sheng Zhang Minpeng Xu Lin Meng Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

The brain-computer interface (BCI) based on rapid serial visual presentation (RSVP) provides a novel approach for efficiently optimizing traditional machine-based target detection, revealing a broad application prospect in security, entrainment, monitoring, etc. A bottleneck of current RSVP-BCI is that its detectable result is limited to a binary way, i.e., target vs. non-target, more detailed and important information about targets, such as the precise position, remains undetectable. To solve this problem, this study investigated the relationship between targets positions (up, down, left, right) and electroencephalogram (EEG) characteristics, and tested the separability of EEGs induced by the four targets positions in an online RSVP-BCI. Twelve healthy subjects participated in this study, event-related potential (ERP), topographies, laterality index (LI), discriminant canonical pattern matching (DCPM) methods were used to analyzed the EEG data. Consequently, left-right targets induced ipsilateral ERPs between bilateral hemispheres; when targets appeared at up and down positions, opposite ERPs were found between frontal and occipital areas; up-down and left-right difference reached its maximum in the 140~190ms and 190~240ms temporal window, respectively. Single-trial classification showed five-class balanced accuracy (BACC) (non-target, target at up/ down/ left/ right position) was 71.02% and 67.91% for offline and online sessions, respectively. The results provide new understanding of the RSVP features for developing BCIs.

关键词： visualization Accuracy Object detection Surfaces Electroencephalography Brain-computer interfaces Real-time systems Security Usability Pattern matching

来源：评论

学校读者我要写书评

暂无评论

Optimization for the Metaverse over Mobile Edge Computing with Play to Earn

Optimization for the Metaverse over Mobile Edge Computing wi...

引用

IEEE annual Joint conference: INFOCOM, IEEE Computer and Communications Societies

作者： Chang Liu Terence Jie Chua Jun Zhao Graduate College Nanyang Technological University Singapore School of Computer Science and Engineering Nanyang Technological University Singapore

ISBN: (数字)9798350383508

ISBN: (纸本)9798350383515

The concept of the Metaverse has garnered growing interest from both academic and industry circles. The decentralization of both the integrity and security of digital items has spurred the popularity of play-to-earn (P2E) games, where players are entitled to earn and own digital assets which they may trade for physical-world currencies. However, these computationally-intensive games are hardly playable on resource-limited mobile devices and the computational tasks have to be offloaded to an edge server. Through mobile edge computing (MEC), users can upload data to the Metaverse Service Provider (MSP) edge servers for computing. Nevertheless, there is a trade-off between user-perceived in-game latency and user visual experience. The downlink transmission of lower-resolution videos lowers user-perceived latency while lowering the visual fidelity and consequently, earnings of users. In this paper, we design a method to enhance the Metaverse-based mobile augmented reality (MAR) in-game user experience. Specifically, we formulate and solve a multi-objective optimization problem. Given the inherent NP-hardness of the problem, we present a low-complexity algorithm to address it, mitigating the trade-off between delay and earnings. The experiment results show that our method can effectively balance the user-perceived latency and profitability, thus improving the performance of Metaverse-based MAR systems.

关键词： visualization Multi-access edge computing Metaverse Profitability Games Downlink User experience

来源：评论

学校读者我要写书评

暂无评论

A Novel Real-time Algorithm Based on Phase-Locked data Alignment for Continuously Controlled SSVEP-BCI

A Novel Real-time Algorithm Based on Phase-Locked Data Align...

引用

annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Hanzhe Jiang Xiaolin Xiao Jie Mei Minpeng Xu Kun Wang Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin People’s Republic of China Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration Tianjin People’s Republic of China

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Objective: Brain-computer interfaces (BCIs) based on steady-state visual evoked potential (SSVEP) show good performance. However, algorithms always decode segments of electroencephalogram (EEG) and can only satisfy discrete output instructions, which limit the real-time continuous control of the BCI system. This article proposes a novel algorithm for SSVEP-BCI that can translate continuous EEG into control commands, achieving real-time monitoring of user intentions. Methods: A phase synchronicity maximum strategy has been employed in this algorithm, which could capture a fixed-duration SSVEP epoch near any given moment, ensuring each trial is aligned with the phase of the potential corresponding template. Then, the algorithm utilized an update strategy of a small-step sliding window to recognize and output commands in approximately real-time. Results: We constructed an SSVEP-BCI system with continuous stimulation and recruited nine subjects. The results showed that the algorithm proposed in this study efficiently decoded continuously evoked SSVEP signals. The BCI’s online average accuracy and ITR were 92.03% and 143.38 bits/min, respectively. Significance: The proposed algorithm can decode SSVEP at any time theoretically, which improves command output density as well as maintains high recognition accuracy. This study provides novel methods for real-time control of external devices using SSVEP-BCIs and helps to develop BCIs that are more compatible with human control habits.

关键词： visualization Time-frequency analysis Accuracy Approximation algorithms Real-time systems Electroencephalography Decoding Windows Steady-state Engineering in medicine and biology

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12页 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：