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

52,990 篇 会议
1,122 篇 期刊文献
10 册 图书

馆藏范围

54,122 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

26,309 篇 工学
- 17,134 篇 计算机科学与技术...
- 9,446 篇 软件工程
- 8,117 篇 电气工程
- 3,784 篇 控制科学与工程
- 2,421 篇 信息与通信工程
- 2,394 篇 机械工程
- 1,899 篇 生物医学工程（可授...
- 1,311 篇 仪器科学与技术
- 1,054 篇 生物工程
- 777 篇 电子科学与技术（可...
- 730 篇 土木工程
- 691 篇 建筑学
- 674 篇 光学工程
- 527 篇 交通运输工程
- 486 篇 测绘科学与技术
- 387 篇 安全科学与工程
4,515 篇 理学
- 1,747 篇 数学
- 1,311 篇 物理学
- 984 篇 生物学
- 699 篇 系统科学
- 433 篇 统计学（可授理学、...
- 399 篇 化学
3,461 篇 管理学
- 2,114 篇 管理科学与工程(可...
- 1,607 篇 图书情报与档案管...
- 767 篇 工商管理
3,101 篇 医学
- 2,682 篇 临床医学
- 752 篇 基础医学(可授医学...
- 361 篇 药学(可授医学、理...
674 篇 教育学
- 660 篇 教育学
515 篇 农学
- 485 篇 作物学
342 篇 法学
189 篇 经济学
168 篇 艺术学
135 篇 文学
29 篇 军事学
4 篇 历史学
1 篇 哲学

主题

34,702 篇 visualization
7,348 篇 data visualizati...
4,840 篇 training
4,315 篇 feature extracti...
2,957 篇 computational mo...
2,945 篇 three-dimensiona...
2,917 篇 cameras
2,455 篇 computer vision
2,440 篇 semantics
2,073 篇 task analysis
1,940 篇 conferences
1,625 篇 accuracy
1,315 篇 image color anal...
1,297 篇 data mining
1,285 篇 image segmentati...
1,269 篇 navigation
1,202 篇 robustness
1,189 篇 data models
1,149 篇 real-time system...
1,102 篇 measurement

机构

95 篇 university of sc...
94 篇 tsinghua univers...
72 篇 univ chinese aca...
71 篇 shanghai jiao to...
66 篇 zhejiang univers...
59 篇 georgia inst tec...
48 篇 univ konstanz co...
46 篇 georgia institut...
41 篇 facebook ai rese...
40 篇 hong kong univ s...
39 篇 microsoft resear...
37 篇 school of comput...
35 篇 tu wien austria
34 篇 inria
34 篇 univ michigan an...
33 篇 massachusetts in...
32 篇 university of ce...
32 篇 carnegie mellon ...
30 篇 national institu...
30 篇 univ toronto on

作者

53 篇 itoh takayuki
44 篇 zhang lei
31 篇 lei wang
27 篇 jing zhang
26 篇 jun wang
25 篇 yongdong zhang
25 篇 pfister hanspete...
24 篇 schreck tobias
24 篇 van gool luc
24 篇 yang yi
24 篇 li li
22 篇 guangtao zhai
22 篇 nassir navab
22 篇 takahiro ogawa
20 篇 bin wang
20 篇 li xin
19 篇 shuqiang jiang
19 篇 chang remco
19 篇 jie yang
18 篇 yiming li

语言

53,600 篇 英文
281 篇 其他
189 篇 中文
21 篇 西班牙文
14 篇 土耳其文
9 篇 俄文
8 篇 葡萄牙文
1 篇 法文

检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

共 54122 条记录，以下是4751-4760 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：

Deep Learning Based on Face Emotion Recognition using an Artificial Neural Network

Deep Learning Based on Face Emotion Recognition using an Art...

引用

2023 International conference on Artificial Intelligence and Power Engineering, AIPE 2023

作者： Mohan, Pushpavalli Chang, Hsien-Tsung Chang Gung University Computer Science and Information Engineering Taoyuan Taiwan

ISBN: (纸本)9798350310788

Facial Emotion Recognition has become a critical research domain in Artificial Intelligence due to its vital applications across multiple fields, including security and healthcare. This study aims to overcome prevailing limitations of current methodologies, which primarily rely on static image frames and neutral facial expressions, hindering optimal emotion recognition rates. Leveraging advanced deep learning techniques, this research focused on the identification of seven human emotions - happiness, anger, disgust, fear, sadness, surprise, and neutrality - using both static and dynamic images from CK+ and FER datasets. The research experimented with various models such as Lightweight MobileNet and Artificial Neural Networks, aiming for enhanced accuracy in real-time emotion recognition applications. A novel visualization technique was developed to pinpoint the crucial facial regions integral for detecting distinct emotions by analyzing classifier outputs, revealing that different emotions are sensitive to different facial areas. The results emphasize the value of specific facial regions in conveying and recognizing emotions and illustrate the substantial promise of deep learning methodologies in advancing Facial Emotion Recognition technology. © 2023 ieee.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

A Controlled Experiment on the Usability of Automated Reflexion Mapping Suggestions Integrated in Code Cities

A Controlled Experiment on the Usability of Automated Reflex...

引用

ieee International conference on Software Architecture Workshops (ICSAW)

作者： Leon Ehrhardt Rainer Koschke University of Bremen Germany

ISBN: (数字)9798331533366

ISBN: (纸本)9798331533373

Reflexion modeling allows developers to reconstruct and verify their software architecture against its implementation. One step of this method is the mapping of implementation components onto architecture components. Researchers have tried to automate the process of recommending suggestions where to map implementation components. This paper describes how such techniques can be integrated in an interactive approach that is based on software visualization using the code-city metaphor and evaluates the usability of this approach through a controlled experiment. During our user study, effects of reduced cognitive effort and time savings were measured when automated suggestions were available during reflexion modeling, although no statistical significance of the observed differences could be established.

关键词： visualization Codes Software architecture Urban areas Computer architecture Time measurement Software Software reliability Software measurement Usability

来源：评论

学校读者我要写书评

暂无评论

Improving placement of CSA-nets

Improving placement of CSA-nets

引用

2023 International conference on Smart Computing and Application, ICSCA 2023

作者： Alahmadi, Mohammed Koutny, MacIej School of Computing Newcastle University Newcastle upon TyneNE4 5TG United Kingdom

ISBN: (纸本)9798350347050

Communication structured acyclic nets (CSA-nets) are a Petri net-based formalism for representing interactions between subsystems of complex evolving systems (CES). CSA-nets, made up of sets of acyclic-nets, are suitable tools for modelling and visualising event-based systems' execution behaviour. Each subsystem is represented using a separate acyclic net and is linked with other acyclic nets through a set of buffer places. These buffer places link different acyclic nets and depict their interactions. Analysis and visualising CES is a complex task. The hurdle is that a huge number of subsystems resulting from alternative and concurrent scenarios of CESs results in a huge number of buffer places, increasing the number of crossings arcs. One way to mitigate this problem is to filter out some system components. However, this results in information loss. This paper focuses on improving the visualisation of CSA-nets by rearranging their component acyclic nets to minimise the number of crossing arcs. To this end, this paper takes inspiration from the main ideas behind three well-known sorting algorithms, viz. bubble sort, insertion sort and selection sort, and integrates them with formulas to compute crossing. Experimental comparisons are carried out to compare the improvements resulting from following each of the three approaches. The outcomes point to the high effectiveness of the selection sort-inspired approach. © 2023 ieee.

关键词： visualization

来源：评论

学校读者我要写书评

暂无评论

Big Data Based Analysis of Key Parameters of Airbus A321 Flight Trajectory 3

Big Data Based Analysis of Key Parameters of Airbus A321 Fli...

引用

3rd ieee International conference on Civil Aviation Safety and information Technology, ICCASIT 2021

作者： Zhao, Haimeng Deng, Junwen Zhang, Huimin Pan, Jinjin Sun, Shanlin Guangxi Engineering Research Center for Small UAV System and Application Guilin University of Aerospace Technology Guilin China Information Engineering College Capital Normal University Beijing China

ISBN: (纸本)9781665425186

With the continuous innovation of aviation technology and computer technology, the analysis of flight data has a new direction. When computer simulation technology is combined with flight data, flight data can be presented in the form of images. At present, most of the data visualization is planar trajectory line display, and the trajectory is single, which cannot achieve multi-trajectory comparison. In order to solve the problem of singletrack display and poor contrast, this paper designs a file conversion method to realize the synchronous display of track in multiple periods on Google Earth platform. This paper uses PyCharm, Anaconda, Google Earth software, takes Airbus A321 data as the research object, carries out preprocessing, Comma Separated Values (CSV) file conversion Keyhole Markup Language (KML) file and data visualization function design, realizes the conversion of Airbus A321 data file to visualization file, so that the flight data is presented in the form of three-dimensional images on Google Earth, which visually shows the characteristics of the data. © 2021 ieee

关键词： Data visualization

来源：评论

学校读者我要写书评

暂无评论

Star-ECG: visualization of Electrocardiograms for Arrhythmia and Heart Rate Variability 43

Star-ECG: Visualization of Electrocardiograms for Arrhythmia...

引用

43rd Annual International conference of the ieee Engineering in Medicine and Biology Society, EMBC 2021

作者： Hsu, Po-Ya Hsu, Po-Han Liu, Hsin-Li Lin, Chi-Te Chou, Hung-Tao Tseng, Yu-Fang Lee, Tsung-Han University of California Department of Computer Science and Engineering San Diego United States Department of Nursing Central Taiwan University of Science and Technology Taiwan Division of Cardiovascular Surgery Department of Surgery Lin Shin Hospital Taiwan

ISBN: (纸本)9781728111797

Conventional electrocardiograms (ECG) are displayed in one dimension. Reading one-dimensional ECG waveform becomes challenging when one wants to visualize the heart rate variability with naked eye. Some ECG visualization techniques have been proposed. However, they rely on domain knowledge to comprehend the heart rate variability. To improve the readability for patients and non-experts, we introduce Star-ECG, a novel ECG visualization approach. Such approach projects ECG waveforms onto a two-dimensional plane in a circular form. We demonstrate that Star-ECG offers not only easily deciphered visualization of cardiac abnormalities and heart rate variability, but also the application of state-of-the-art arrhythmia classification with integrated deep neural networks. We also report positive user feedback from both experts and non-experts that Star-ECG can provide readable and helpful information to monitor cardiac activities. © 2021 ieee.

关键词： Deep learning visualization Electrocardiography Biology Heart rate variability Biomedical monitoring Monitoring

来源：评论

学校读者我要写书评

暂无评论

Spatio-temporal predictive tasks for abnormal event detection in videos 18

Spatio-temporal predictive tasks for abnormal event detectio...

引用

18th ieee International conference on Advanced Video and Signal Based Surveillance (AVSS)

作者： Naji, Yassine Setkov, Aleksandr Loesch, Angelique Gouiffes, Michele Audigier, Romaric Univ Paris Saclay CEA List F-91120 Palaiseau France Univ Paris Saclay CNRS LISN F-91400 Orsay France

ISBN: (纸本)9781665463829

Abnormal event detection in videos is a challenging problem, partly due to the multiplicity of abnormal patterns and the lack of their corresponding annotations. In this paper, we propose new constrained pretext tasks to learn object level normality patterns. Our approach consists in learning a mapping between down-scaled visual queries and their corresponding normal appearance and motion characteristics at the original resolution. The proposed tasks are more challenging than reconstruction and future frame prediction tasks which are widely used in the literature, since our model learns to jointly predict spatial and temporal features rather than reconstructing them. We believe that more constrained pretext tasks induce a better learning of normality patterns. Experiments on several benchmark datasets demonstrate the effectiveness of our approach to localize and track anomalies as it outperforms or reaches the current state-of-the-art on spatio-temporal evaluation metrics.

关键词： Measurement visualization Event detection Tracking Surveillance Benchmark testing Predictive models

来源：评论

学校读者我要写书评

暂无评论

visualization Method of Emotional EEG Features Based on Convolutional Neural Networks

Visualization Method of Emotional EEG Features Based on Conv...

引用

System Simulation Technology and its Application (CCSSTA), ieee China conference on

作者： Lin Lu Dongyue Wu Chao Chen Zhonghuan Information College Tianjin University of Technology Tianjin China School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

In recent years, deep learning models have been increasingly applied in emotional brain computer interfaces. Unlike traditional emotional brain computer interfaces, they perform end-to-end learning on raw EEG signals and use Convolutional Neural Networks (CNN) to analyze emotional EEG signals, which has become a commonly used method in this field. However, due to the fact that CNN is a black box model, the decision-making process between them is not visible, and the decoding process of the model cannot be understood, resulting in poor interpretability of the model and difficulty in convincing the predicted results. Based on the above issues, three different architectures of CNN models were designed, named shallow CNN, middle CNN, and deep CNN according to the depth of the convolutional layers, and three visualization methods were used to improve the interpretability of the CNN model. Visualizing the features learned in the five EEG frequency bands of the midlevel CNN using spectral power difference, it was found that the Delta, Beta, and Gamma EEG frequency bands may be closely related to emotions, with active areas mainly appearing in the frontal, temporal, and occipital regions of the brain. By studying the maximum activation method, the output feature maps of the shallow CNN with the lowest classification performance and the middle CNN with the highest classification performance were visualized. The results showed that the middle CNN had a higher degree of activation and was more sensitive to capturing emotional information.

关键词： visualization Emotion recognition Convolution Computational modeling Predictive models Brain modeling Electroencephalography Brain-computer interfaces Decoding Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Exploring Interaction Paradigms for Performing Medical Image Segmentation Tasks in Virtual Reality

Exploring Interaction Paradigms for Performing Medical Image...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Zachary Jones Simon Drouin Marta Kersten-Oertel Concordia University L’École Technique de Montréal

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

Virtual reality (VR) facilitates immersive visualization and interaction with complex medical images in immersive platforms. It remains unclear which VR input schemes and devices are optimal for these tasks. In this study, we perform a 12-person study to investigate user performance and experience while performing medical image segmentation with two control schemes, keyboard and mouse (KBM) and VR motion controllers (MC). Our results showed that motion controllers are faster in smaller segmentation tasks and offer a more pleasant user experience, however no significant difference in user accuracy was observed.

关键词： Performance evaluation Human computer interaction Image segmentation visualization Accuracy Three-dimensional displays Motion segmentation Keyboards User experience Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

Web Scraping for Data Analytics: A BeautifulSoup Implementation 6

Web Scraping for Data Analytics: A BeautifulSoup Implementat...

引用

6th International conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023

作者： Abodayeh, Ayat Hejazi, Reem Najjar, Ward Shihadeh, Leena Latif, Rabia Prince Sultan University College of Computer and Information Sciences Riyadh Saudi Arabia

ISBN: (纸本)9781665477239

Web scraping is an essential tool for automating the data-gathering process for big data applications. There are many implementations for web scraping, but barely any of them is based on Python's BeautifulSoup library. Therefore, this paper aims at creating a web scraper that gathers data from any website and then analyzes the data accordingly. For results and analysis, the web scraper has been implemented on the Amazon website which collects a product's name, price, number of reviews, rate, and link. We further highlighted the web scraper's capabilities by assimilating the results into an interface that integrates data visualization techniques to analyze the results gathered. The web scraper proved to be efficient upon execution, in which it scraped five pages and analyzed them, and visualized the information in approximately ten seconds. The limitations as a result of this implementation mainly revolved around applying it to specific product names rather than generic ones and extracting specific information that we wanted from the resulting products. Moreover, BeautifulSoup cannot extract all the data available to not compromise on speed. Further studies can be done by researchers who wish to reuse this implementation and modify it according to the data they want to extract, the analysis they wish to perform, and the website they wish to scrape. The implementation can be helpful, thus, to developers who are novices in the web scraping field or to researchers that wish to reuse the code for small data analytics projects. © 2023 ieee.

关键词： Websites

来源：评论

学校读者我要写书评

暂无评论

Immersive 3D Digital Twin for Collaborative Hydrogen Pipeline Simulation and visualization: A Project Description

Immersive 3D Digital Twin for Collaborative Hydrogen Pipelin...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee conference on

作者： Muskan Sarvesh Ryan Kang Mehdi Marzban Isaac Cho Simon Park Ron Hugo Kangsoo Kim Department of Electrical and Software Engineering University of Calgary Department of Computer Science Utah State University Department of Mechanical and Manufacturing Engineering University of Calgary

ISBN: (数字)9798350374490

ISBN: (纸本)9798350374506

This paper introduces our plan to develop a 3D pipeline engineering tool, building upon our in-house web-based Pipeline Reliability and Integrity Management Engineering tool (PRIME), to address the limitations of traditional 2D data visualization in pipeline management. Leveraging immersive technologies, such as Virtual Reality (VR), the tool enhances simulation capabilities, introducing features like multi-user communication, digital twin integration, and virtual site visits. The study proposed in the paper aims to evaluate the tool's potential by comparing it to the existing web application, focusing on immersive training, collaboration tools, 3D data visualization, and environmental conditions in the pipeline maintenance workflows. This research aspires to contribute to the field of immersive technologies in pipeline operations, offering a comprehensive understanding of their impact on efficiency and impactful decision-making.

关键词： Training Three-dimensional displays Pipelines Hydrogen Data visualization Collaboration Virtual reality

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 472 473 474 475 476 477 478 479 480 481 > >>

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：