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

14,340 篇 会议
1,302 篇 期刊文献
4 册 图书

馆藏范围

15,646 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

8,844 篇 工学
- 5,624 篇 计算机科学与技术...
- 3,387 篇 电气工程
- 3,203 篇 软件工程
- 1,032 篇 信息与通信工程
- 757 篇 测绘科学与技术
- 753 篇 控制科学与工程
- 560 篇 仪器科学与技术
- 456 篇 生物医学工程（可授...
- 394 篇 电子科学与技术（可...
- 350 篇 机械工程
- 279 篇 环境科学与工程（可...
- 203 篇 生物工程
- 173 篇 交通运输工程
- 162 篇 土木工程
- 157 篇 光学工程
- 138 篇 建筑学
2,160 篇 理学
- 751 篇 数学
- 601 篇 地球物理学
- 499 篇 物理学
- 321 篇 生物学
- 292 篇 统计学（可授理学、...
- 152 篇 化学
- 133 篇 系统科学
985 篇 管理学
- 638 篇 管理科学与工程(可...
- 427 篇 图书情报与档案管...
- 208 篇 工商管理
765 篇 医学
- 574 篇 临床医学
- 175 篇 特种医学
- 153 篇 基础医学(可授医学...
327 篇 农学
- 204 篇 农业资源与环境
106 篇 法学
56 篇 经济学
49 篇 教育学
36 篇 文学
21 篇 艺术学
10 篇 军事学

主题

2,944 篇 visualization
2,689 篇 data visualizati...
917 篇 data analysis
868 篇 data mining
803 篇 task analysis
680 篇 data models
593 篇 algorithm design...
544 篇 training
532 篇 feature extracti...
531 篇 computational mo...
405 篇 visual analytics
368 篇 big data
332 篇 image color anal...
323 篇 analytical model...
310 篇 three-dimensiona...
301 篇 computer science
288 篇 information anal...
276 篇 computer archite...
265 篇 deep learning
264 篇 monitoring

机构

48 篇 univ calif davis...
44 篇 university of ca...
38 篇 argonne national...
36 篇 univ chinese aca...
35 篇 argonne natl lab...
33 篇 university of ko...
31 篇 ohio state univ ...
25 篇 university of ch...
25 篇 univ utah salt l...
24 篇 tsinghua univers...
23 篇 lawrence livermo...
23 篇 hong kong univ s...
22 篇 purdue universit...
22 篇 pacific northwes...
19 篇 ohio state univ ...
18 篇 univ utah sci co...
18 篇 univ konstanz co...
18 篇 georgia institut...
18 篇 univ maryland co...
18 篇 ibm research

作者

52 篇 kwan-liu ma
39 篇 ertl thomas
35 篇 papka michael e.
33 篇 keim daniel a.
26 篇 schreck tobias
24 篇 peterka tom
23 篇 klasky scott
22 篇 thomas ertl
22 篇 han-wei shen
20 篇 xiaoru yuan
19 篇 wang chaoli
19 篇 van wijk jarke j...
19 篇 michael e. papka
18 篇 pfister hanspete...
17 篇 vishwanath venka...
16 篇 podhorszki norbe...
16 篇 daniel a. keim
14 篇 chang remco
14 篇 insley joseph a.
14 篇 mihai datcu

语言

15,153 篇 英文
429 篇 其他
55 篇 中文
5 篇 葡萄牙文
4 篇 土耳其文
1 篇 西班牙文

检索条件"任意字段=IEEE Symposium on Large Data Analysis and Visualization"

共 15646 条记录，以下是1761-1770 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 Review on visualization of Educational data in Online Learning 19th

A Review on Visualization of Educational Data in Online Lear...

引用

19th International Conference on Web-Based Learning / 5th International symposium on Emerging Technologies for Education ICWL/SETE)

作者： Dewan, M. Ali Akber Pachon, Walter Moreno Lin, Fuhua Athabasca Univ Sch Comp & Informat Syst Edmonton AB Canada

ISBN: (纸本)9783030669058;9783030669065

Higher educational institutions capture huge amounts of educational data, especially in online learning. data mining techniques have shown promises to interpret these data using different patterns. However, understanding the mining patterns and extracting meaningful information from the data require reasonable skills and knowledge for the users. Information visualization, due to its potential to display large amount of data, may fill this gap. In this paper, we present a short review of such visualization systems that focus on extracting meaningful information from the educational data. visualizations have been used in different applications dealing with educational data, especially for monitoring student performance, understanding learning style, analyzing course and program status, and dropout prediction. In this paper, we reviewed the existing visualization systems, their design considerations, and their strengths and weaknesses to analyze educational data in the context of online learning. Research findings indicate that although some progress has been achieved in educational data mining and visualizations, designing and developing effective and easy to understand visualizations and having the functionalities of interactivity and time-series analysis are still challenging. This review provides insight into how to build a learner and instructor focused effective visualization system for an online learning environment.

关键词： Information visualization Educational data mining Pattern recognition Learning management system Visual analytics

来源：评论

学校读者我要写书评

暂无评论

5th ieee International Conference on Computer and Communication Engineering Technology, CCET 2022

5th IEEE International Conference on Computer and Communicat...

引用

5th ieee International Conference on Computer and Communication Engineering Technology, CCET 2022

ISBN: (纸本)9781665467353

The proceedings contain 58 papers. The topics discussed include: an improved lion swarm optimization algorithm based on tent-map and differential evolution;a self-attentive interest retrieval recommender;marine predators algorithm based on trigonometric function;research on hybrid intelligence wargame method;automatic current transformer verification technology for high-speed railway power based on edge-cloud collaborative computing;grasshopper optimization algorithm based on adaptive curve and reverse learning;research on a user context model based on data mining;large-scale distance matrix calculation method based on contraction hierarchies;epidemic data analysis based on data visualization technology;improving aerospace big data infrastructure and applications with distributed file system and massive parallel calculation;arbitrary-shaped text detection with gaussian probability distance distribution;similarity computation of heterogeneous ontology based on graph attention network;and a small target detection method based on feature enhancement and positioning optimization.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Principal Component analysis (PCA) of Surface Contamination by TOF-SIMS

Principal Component Analysis (PCA) of Surface Contamination ...

引用

ieee International symposium on the Physical and Failure analysis of Integrated Circuits (IPFA)

作者： Sek, Kei Lin Lee, Pei Lin Pang, Khin Yin Hua, Younan Zhu, Lei Li, Xiaomin WinTech Nanotechnol Serv Pte Ltd Surface & Chem Anal Div 10 Sci Pk Rd 03-26Sci Pk 2 Singapore 117684 Singapore

ISBN: (纸本)9781665439886

Static time of flight secondary ions mass spectrometry (TOF-SIMS) is a qualitative analysis technique with a high detection limit capable of achieving parts per million (ppm) levels [1] and sub monolayer surface detection. Due to its high sensitivity, the data obtained may contains more than hundreds of peaks including information about sample composition, chemical compound, fragments ions, sample purity, and etc. [2]. Therefore, TOF-SIMS data interpretation is complicated and time consuming especially for unknown contamination. These challenges could be overcome by Principal Component analysis (PCA). PCA is one of a multivariate method used to identify mass peak spectral in various principal component loadings when processing large data sets such as TOF-SIMS data. This paper presents a study of surface contamination analysis using image based PCA to find out the parent ion of the contaminant.

关键词： TOF-SIMS Imaging PCA contamination

来源：评论

学校读者我要写书评

暂无评论

Top data analysis performance – case study

Top data analysis performance – case study

引用

International symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Michal Kvet Marek Kvet Department of Informatics Faculty of Management Science and Informatics University of Žilina Žilina Slovakia

Obtaining top data based on defined criteria requires sorting the data, which can be applied to all data in one group or to individual data partitions specified in analytical functions. The limitation of the database system performance is associated with the cardinality of the data set processed in the individual evaluation steps, especially regarding data warehouses and large sets that need to be joined. However, most of the data are refused while maintaining only top data. Many solutions are available, but the significant aspect is related to the performance from the system resources and time consumption point of view. This paper aims to analyze individual solutions and techniques and provide a methodology for processing top data not only in the data warehouse but also in an online transaction processing environment limiting the index number range.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Radargrams as Sequences: A Method for The Semantic Segmentation of Radar Sounder data

Radargrams as Sequences: A Method for The Semantic Segmentat...

引用

ieee International symposium on Geoscience and Remote Sensing (IGARSS)

作者： Jordy Dal Corso Lorenzo Bruzzone University of Trento Trento Italy

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Radar sounders (RS) are electromagnetic sensors employed for subsurface investigation on Earth and other celestial bodies. The data acquired by RS are represented as radargrams and they are traditionally analyzed through visual interpretation or manual feature engineering to detect subsurface layers and relevant features. The emergence of deep learning has prompted exploration into deep automated radargram analysis, frequently treating them as conventional images. Here we present a novel method for the semantic segmentation of radar-grams inspired to video object segmentation (VOS). It consists in an initial phase of self-supervised VOS-based learning of features from sequences of radargram patches, and a second phase of label propagation from an initial reference patch provided by experts. The effectiveness of the proposed method is confirmed by validation on a dataset of radargrams generated by the airborne radar sounder MCoRDS1 in Antarctica.

关键词： Representation learning Radar remote sensing visualization Semantic segmentation Semantics Object segmentation Manuals

来源：评论

学校读者我要写书评

暂无评论

CANet: Cellular Aggregation Network for Point Cloud Quality Assessment

CANet: Cellular Aggregation Network for Point Cloud Quality ...

引用

ieee International symposium on Circuits and Systems (ISCAS)

作者： Lingxia Jiang Jian Xiong Chao Zhang Jiucheng Xie Hao Gao Nanjing University of Posts and Telecommunications Nanjing China Intelligent Policing Key Laboratory of Sichuan Province China

ISBN: (数字)9798350356830

ISBN: (纸本)9798350356847

The concept of visual masking reveals that human visual perception is influenced by content and distortion information. Existing projection-based methods lose depth information and intrinsic topological structures. Due to the limitations of computational memory, the existing point-based methods tend to deal with small patches with little content information. In this paper, we propose a novel point-based no-reference quality assessment method, namely cellular aggregation network (CANet). The method effectively extracts the quality-aware features of large patches in a divide-and-conquer manner. Specifically, the cellular sampling module is used to divide large patches into smaller cells, which effectively avoids the memory explosion problem. The cellular aggregation module is proposed to obtain more content information from small cells. A global aggregation module is proposed to extract global sketch information. Furthermore, a long-term fusion module is introduced to capture long-term dependencies, which can better receive content-aware semantic features. Experimental results on benchmark databases demonstrate that CANet achieves competitive performances.

关键词： Point cloud compression visualization Semantics Feature extraction Distortion Explosions Quality assessment data mining Integrated circuit modeling Visual perception

来源：评论

学校读者我要写书评

暂无评论

analysis of VF-TLP ESD Measurements Using Machine Learning

Analysis of VF-TLP ESD Measurements Using Machine Learning

引用

ieee International symposium on Quality Electronic Design

作者： Seyed Hossein Hosseini Mehrdad Nourani Theo Smedes Charvaka Duvvury Dept. of ECE Univ. of Texas at Dallas Dallas USA NXP Semiconductors Nijmegen Netherlands iT2 Technologies Dallas USA

ISBN: (数字)9798331509422

ISBN: (纸本)9798331509439

In this paper, we propose a machine learning-powered approach to explore analysis of electrostatic discharge (ESD) protection device measurements taken with high-current pulse method. Specifically, the data analyzed was collected under a very fast transmission line pulse (VF - TLP) on a grounded gate NMOS (ggNMOS) protection device. The analysis is done by applying K-means clustering in two complementary steps. First, we use the raw data for a holistic pattern-based clustering to filter out the possible measurement errors. In the second step, the subset that seems error-free is further analyzed through a feature-based clustering that provides insight into parametric variations and stability of the protection design. We also employ visualization techniques, i.e. t-SNE dimensionality reduction and statistical boxplots, to make interpretation of results easier for ESD test and quality engineers. We have validated the proof of concept using measurement data obtained in Kelvin setup for 18 devices.

关键词： Dimensionality reduction Measurement errors Power transmission lines Statistical analysis Pulse measurements Statistical distributions Power system stability Transmission line measurements Electrostatic discharges Stability analysis

来源：评论

学校读者我要写书评

暂无评论

An Integrated Questionnaire Survey Method Utilizing Cloud Services and Communication Platforms: Enhancing Research Efficiency in Healthcare Settings

An Integrated Questionnaire Survey Method Utilizing Cloud Se...

引用

International Computer symposium (ICS)

作者： Chao-Ying Chang Shu-Min Chien I-Ching Hou Department of Nursing National Yang Ming Chiao Tung University Taipei City Taiwan Head Nurse Taipei Hospital Ministry of Health and Welfare New Taipei City Taiwan Efficient Smart Care Research Center College of Nursing National Yang Ming Chiao Tung University Taipei City Taiwan

ISBN: (数字)9798331509071

ISBN: (纸本)9798331509088

Questionnaire surveys are a common data collection method in nursing research, but traditional research methods face challenges such as low efficiency and inconsistent data quality. This study proposes a Platform-integrated Real-time Intelligent Survey Model (PRISM) based on cloud technology and instant messaging platforms. PRISM integrates Google Workspace, LINE Messaging API, and Google Cloud, achieving efficient questionnaire management, real-time data validation, and visualization analysis. In an application at a regional hospital, PRISM reduced data collection time from 30-45 days to 14 days, data processing time from 13.33 hours to 0.5 hours, and research costs from 15,000-20,000 NTD to approximately 10 NTD. PRISM improved data quality through automatic contradiction detection and real-time feedback mechanisms, providing an efficient, low-cost, and high-quality solution for large-scale, multi-stage questionnaire surveys.

关键词： Surveys Costs Hospitals data integrity data visualization Instant messaging data collection Drives Real-time systems Faces

来源：评论

学校读者我要写书评

暂无评论

Weakly Supervised Contrastive Learning for Better Severity Scoring of Lung Ultrasound

Weakly Supervised Contrastive Learning for Better Severity S...

引用

ieee International symposium on Biomedical Imaging

作者： Gautam Gare Hai Tran Bennett DeBoisblanc Ricardo Rodriguez John Galeotti Carnegie Mellon University Pittsburgh USA LSUHSC Internal Medicine New Orleans USA

ISBN: (数字)9798331520526

ISBN: (纸本)9798331520533

With the onset of the COVID-19 pandemic, ultrasound has emerged as an effective tool for bedside monitoring of patients. Due to this, a large amount of lung ultrasound scans have been made available which can be used for AI based diagnosis and analysis. Several AI-based patient severity scoring models have been proposed that rely on scoring the appearance of the ultrasound scans. AI models are trained using ultrasound-appearance severity scores that are manually labeled based on standardized visual features. We address the challenge of labeling every ultrasound frame in the video clips. Our contrastive learning method treats the video clip severity labels as noisy weak severity labels for individual frames, thus requiring only video-level labels. We show that it performs better than the conventional cross-entropy loss based training. We combine frame severity predictions to come up with video severity predictions and show that the frame based model achieves comparable performance to a video based TSM model, on a large dataset combining public and private sources.

关键词： COVID-19 visualization Ultrasonic imaging Lungs Biological system modeling Contrastive learning Predictive models Noise measurement Labeling Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

An MPI-Parallel Algorithm for Static and Dynamic Top-k Harmonic Centrality 34

An MPI-Parallel Algorithm for Static and Dynamic Top-k Harmo...

引用

34th ieee International symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

作者： van der Grinten, Alexander Custers, Geert Duy Le Thanh Meyerhenke, Henning Humboldt Univ Berlin Germany Delft Univ Technol Delft Netherlands

ISBN: (数字)9781665451550

ISBN: (纸本)9781665451550

Analyzing large graphs in parallel has received considerable attention recently due to ever increasing data set sizes. Centrality measures indicate the importance of vertices (or edges) and belong to the most widely used analytic kernels. Harmonic centrality is a popular vertex centrality measure with many desirable properties. Since most of the applications of vertex centrality rely only on the ranking of vertices and not on their exact centrality scores, previous research has considered various algorithms that can quickly determine a ranking of the top-k vertices with highest harmonic centrality. Such algorithms are available for many types of real-world graphs, including dynamic graphs. Yet, no attempts have been made to efficiently parallelize these top-k algorithms (besides naive implementations based on a global lock). In this paper, we propose an MPI-distributed algorithm for (dynamic) top-k harmonic centrality. Our algorithm exploits an algebraic BFS technique and batching to parallelize the approximation of centrality scores of multiple vertices. Likewise, we use algebraic techniques to compute various bounds and heuristics that are necessary to obtain a fast top-k algorithm. Experiments demonstrate that our MPI-parallel algorithm outperforms existing implementations. Consequently, our new approach allows the computation of top-k harmonic centrality on graphs that are substantially larger.

关键词： algebraic graph algorithm network analysis harmonic centrality top-k ranking MPI parallelism

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 << < 173 174 175 176 177 178 179 180 181 182 > >>

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：