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

2,298 篇 会议
152 篇 期刊文献
3 篇 学位论文

馆藏范围

2,453 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,574 篇 工学
- 1,173 篇 计算机科学与技术...
- 755 篇 软件工程
- 316 篇 电气工程
- 107 篇 控制科学与工程
- 80 篇 信息与通信工程
- 69 篇 土木工程
- 67 篇 建筑学
- 64 篇 测绘科学与技术
- 57 篇 生物工程
- 52 篇 生物医学工程（可授...
- 49 篇 仪器科学与技术
- 38 篇 机械工程
- 36 篇 光学工程
- 28 篇 电子科学与技术（可...
- 28 篇 化学工程与技术
- 28 篇 石油与天然气工程
- 27 篇 航空宇航科学与技...
467 篇 理学
- 219 篇 物理学
- 142 篇 数学
- 72 篇 生物学
- 66 篇 统计学（可授理学、...
- 28 篇 化学
- 26 篇 地球物理学
- 24 篇 系统科学
240 篇 管理学
- 136 篇 图书情报与档案管...
- 116 篇 管理科学与工程(可...
- 47 篇 工商管理
201 篇 医学
- 183 篇 临床医学
- 36 篇 基础医学(可授医学...
39 篇 法学
- 36 篇 社会学
22 篇 教育学
21 篇 艺术学
12 篇 农学
10 篇 经济学
9 篇 文学

主题

536 篇 data visualizati...
487 篇 visualization
244 篇 visual analytics
149 篇 data analysis
139 篇 data mining
75 篇 information anal...
74 篇 image color anal...
64 篇 information visu...
58 篇 navigation
55 篇 data models
53 篇 visual databases
50 篇 big data
50 篇 layout
43 篇 task analysis
43 篇 analytical model...
39 篇 user interfaces
38 篇 feature extracti...
37 篇 humans
35 篇 visual analysis
34 篇 prototypes

机构

15 篇 univ konstanz co...
15 篇 university of ko...
14 篇 vrvis res ctr au...
14 篇 vrvis research c...
11 篇 purdue univ w la...
8 篇 hong kong univ s...
8 篇 graz univ techno...
7 篇 zhejiang univ pe...
7 篇 univ maryland co...
6 篇 purdue universit...
6 篇 tech univ darmst...
6 篇 mit cambridge ma...
6 篇 virginia tech bl...
6 篇 peking univ sch ...
6 篇 stanford univ st...
5 篇 university of ma...
5 篇 univ bergen n-50...
5 篇 arizona state un...
5 篇 peking univ key ...
5 篇 univ calif davis...

作者

22 篇 keim daniel a.
19 篇 schreck tobias
14 篇 matkovic kresimi...
13 篇 hauser helwig
12 篇 bianchi serique ...
12 篇 gracanin denis
11 篇 mikael jern
10 篇 ertl thomas
10 篇 elmqvist niklas
10 篇 meiguins bianchi...
9 篇 jern mikael
9 篇 schumann heidrun
9 篇 burch michael
9 篇 qu huamin
9 篇 ma kwan-liu
9 篇 rundensteiner el...
8 篇 maciejewski ross
8 篇 ward matthew o.
8 篇 heer jeffrey
8 篇 huang mao lin

语言

2,422 篇 英文
19 篇 其他
11 篇 中文
2 篇 葡萄牙文
2 篇 俄文
1 篇 法文

检索条件"任意字段=Conference on Visual Data Exploration and Analysis IV"

共 2453 条记录，以下是431-440 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：

Exploratory and statistical data analysis of Indian economy

Exploratory and statistical data analysis of Indian economy

引用

Advances in Computing, Communication Control and Networking (ICAC3N), International conference on

作者： Bhawna Singh Vandana Sandhya Umrao Sanjay Katiyar Vanshika Sharma Department of CSE G.L. Bajaj Institute of Technology and Management Greater Noida India Department of CSE Noida Institute of Engineering and Technology Greater Noida India Department of CSE Greater Noida Institute of Engineering and Technology Greater Noida India

ISBN: (数字)9798350330861

ISBN: (纸本)9798350330878

Exploratory data analysis provides visual exploration of data and also allows for the identification of trends and relationships between variables. The aim of this research is to study about different factors involved in the economy of India. The dataset has been collected from year 1960 to 2020 and is analyzed by looking at the factors such as GDP, import and export value of goods and services, total reserves(include gold, current US Dollar) and health status of nation’s citizens. Thus, it suggests that all factors are important for a stable economy and it also provides different ways to improve these factors.

关键词： Gold visualization data analysis Oils Linear regression Production Market research

来源：评论

学校读者我要写书评

暂无评论

Improving Short-Term Weather Predictions Using GANs

Improving Short-Term Weather Predictions Using GANs

引用

Progressive Innovations in Intelligent Systems and data Science (ICPIDS), International conference on

作者： Sanjay Singla Neeraj Kumar Kulwinder Singh Kavya Rawat Vedant Singh Abhinav Sachdeva Computer Science and Engineering Chandigarh University Punjab India

ISBN: (数字)9798331534691

ISBN: (纸本)9798331534707

Short term weather forecast is very important to different fields like agriculture, disaster management and urban planning. Inherent complexity and non-linearity of atmospheric data presents a challenge for traditional forecasting methods. In a paper written this week, we propose a new way to improve short-term weather predictions using Generative Adversarial Networks (GANs), which are effective at generating high dimensional data. To increase the prediction accuracy, we propose a GAN architecture tailored for time series weather data that utilizes historical weather patterns. In the model are trained on extensive datasets of temperature, humidity, and precipitation and able to approximate the nature of weather phenomena. We show that the GAN based scheme outperforms conventional forecasting techniques in RMSE and MAE metrics. Additionally, visual comparisons show that GAN generated forecasts are closer to observed weather conditions. This work demonstrates the potential for use of GANs in transforming weather forecasting methodologies, the foundation for future exploration of their use in meteorology.

关键词： visualization Accuracy Urban planning Time series analysis Weather forecasting Computer architecture Generative adversarial networks Reliability Forecasting Meteorology

来源：评论

学校读者我要写书评

暂无评论

visual Communication Design of Multi-dimensional Image visualization Fusion System Based on Wavelet Transform

Visual Communication Design of Multi-dimensional Image Visua...

引用

Electronic Technology, Communication and Information (ICETCI), IEEE International conference on

作者： Wenjie Li Art Education Teaching and Research Section of Marxism College Changchun University of Chinese Medicine Changchun China

With the rapid development of remote sensing technology, multi-source remote sensing image fusion has become one of the hot issues in remote sensing field in recent years. Aiming at the poor edge registration of images obtained by conventional remote sensing image fusion system, a multidimensional visual fusion system of remote sensing images based on visual communication is designed. CABAC encoder is selected to make data flow and control flow cooperate with each other to obtain feedback data. However, the rapid increase of data also increases the difficulty of comprehensive observation, because the image data obtained by different sensors have their own differences and limitations in spectral information and spatial details, so we want to bring the fusion technology into this field, expand the working range of the system, improve the reliability of the system, obtain a more efficient representation of information and improve the cost performance of the system. Image fusion technology plays an extremely important role in remote sensing, medicine, natural resources exploration, marine resources management, topography analysis, biology and other fields. The left and right focused images, infrared images and visible images are used for simulation experiments, and the objective evaluation indexes of images are used to verify the feasibility of this method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Interactive visual exploration of Latent Spaces for Explainable AI: Bridging Concepts and Features

Interactive Visual Exploration of Latent Spaces for Explaina...

引用

Joint of the ACM Workshops at the International conference on Intelligent User Interfaces 2025, IUI-WS 2025

作者： Metta, Carlo Cappuccio, Eleonora Rinzivillo, Salvatore CNR-ISTI Italy Università di Pisa Pisa Italy Università degli studi di Bari Aldo Moro Bari Italy

Latent space exploration offers a powerful lens for interpreting and improving the explainability of black-box AI models. This paper introduces a visual interface based on β-Variational Autoencoders that enables users to navigate latent spaces interactively. By employing tools like visual latent sliders and transformation pathways, the interface demonstrates how latent dimensions can influence image representations, uncovering semantic structure and disentangled features. Using the MedMNIST medical image dataset, we illustrate the potential of this approach to bridge the gap between technical latent space analysis and intuitive understanding. Although the focus is on presenting the methodology, this work sets the stage for integrating user interaction and metrics, particularly in high-stakes domains such as medical imaging. © 2025 Copyright © 2025 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Nursing

来源：评论

学校读者我要写书评

暂无评论

UNet-Based YOLO for Underwater Object Detection

UNet-Based YOLO for Underwater Object Detection

引用

data Intelligence and Innovative Application (DIIA), IEEE International conference on

作者： Haigui Zhu Xiaonan Luo Zhongyi Zhai Ji Li Fang Li Xiaoshu Zhu School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China

ISBN: (数字)9798331504434

ISBN: (纸本)9798331504441

Vision-guided autonomous underwater vehicles (AUVs) are becoming crucial tools for deep-sea exploration, resource assessment, and mariculture, among other underwater tasks. However, the challenging underwater environment often leads to image distortion and quality degradation, which negatively impacts the accuracy of vision systems and hinders effective target detection. Recently, the advancement of deep learning, particularly through Transformer-based architectures, has opened new avenues for improving underwater image enhancement. However, applying Transformer models directly for this task faces challenges, including the difficulty of capturing global information at the pixel level while preserving local details. In this paper, we introduce an innovative approach that combines the U-Net network with YOLOv5 for enhanced underwater target detection. Firstly, we construct an improved U-Net model, which can better correct color distortion in global and local features, and overcome the limitations of Transformer in extracting details and textures through convolutional neural networks. Next, YOLOv5 is used to detect the target of the enhanced image, and the quality of information extraction at high and low resolutions is improved through multi-level feature fusion, thus strengthening the attention and correction of severely degraded areas in the image. The experimental results show that our method has obvious advantages in subjective visual perception and comprehensive performance evaluation compared with the existing technology, and shows excellent learning and generalization ability.

关键词： YOLO Image color analysis Feature extraction Distortion visual effects Transformers Real-time systems Circuit faults Image enhancement visual perception

来源：评论

学校读者我要写书评

暂无评论

Explorative visual analysis of Spatio-temporal Regions to Detect Hemodynamic Biomarker Candidates

Explorative Visual Analysis of Spatio-temporal Regions to De...

引用

24th Eurographics conference on visualization, EuroVis 2022

作者： Derstroff, Adrian Leistikow, Simon Nahardani, Ali Ebrahimi, Mahyasadat Hoerr, Verena Linsen, Lars University of Münster Germany Medical Physics Group Institute of Diagnostic and Interventional Radiology Jena University Hospital Friedrich Schiller University Jena Jena Germany Heart Center Bonn Department of Internal Medicine II University Hospital Bonn Bonn Germany Clinic for Radiology University Hospital Münster Münster Germany Leipniz-Institute of Photonic Technology Jena Germany Friedrich Schiller University Jena Germany Institute of Physical Chemistry Abbe Center of Photonics Jena Germany

ISBN: (纸本)9783038681854

Biomarkers are measurable biological properties that allow for distinguishing subjects of different cohorts such as healthy vs. diseased. In the context of diagnosing diseases of the cardiovascular system, researchers aim - among others - at detecting biomarkers in the form of spatio-temporal regions of blood flow obtained by medical imaging or of derived hemodynamical parameters. As the search space for such biomarkers in time-varying volumetric multi-field data is extremely large, we present an interactive visual exploration system to support the analysis of the potential of spatio-temporal regions to discriminate cohorts. © 2022 The Author(s) Eurographics Proceedings © 2022 The Eurographics Association.

关键词： Diagnosis

来源：评论

学校读者我要写书评

暂无评论

Interpreting Autonomous Driving Corner Cases: A visual Analytics Approach

Interpreting Autonomous Driving Corner Cases: A Visual Analy...

引用

Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Yi Sun Zekai Shao Xingyu Qiu Yun Li Ting Liu Linbing Xiang Dong Sun Siming Chen Fudan University NIO Shanghai

ISBN: (数字)9798350393804

ISBN: (纸本)9798350393811

With the progression of artificial intelligence, there has been substantial advancement in autonomous driving technology. However, even the most advanced systems may confront failures in certain corner cases, necessitating enhanced analytical approaches. Traditional approaches focused on the numerical analysis of isolated sensor data, are often insufficient for deriving meaningful insights in such situations. To address this inadequacy, we propose a visual analytics approach, crafted to aid domain experts in performing analyses and extracting system improvements from cases with unexpected behaviors. This approach intricately integrates extensive driving scenarios and low-level module behaviors into the autonomous driving decision-making process, utilizing rich visualizations and an interface for interactive exploration and systematic synthesis of findings. Uniquely, our system opens the "black box" of modules in the decision-making pipeline during corner cases, taking into account both the overall decision-making pipeline and the fine-grained behaviors of the modules in the pipeline, setting our approach apart from previous works. To validate our system’s effectiveness, we perform two case studies, inviting domain experts for evaluation, and the results confirm our system’s efficacy in allowing experts to obtain crucial insights into autonomous driving systems.

关键词： Systematics Numerical analysis visual analytics Pipelines Decision making System improvement Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Short Video E-Commerce Marketing of Convolutional Neural Network Based Transfer Learning with visual Geometry Group16

Short Video E-Commerce Marketing of Convolutional Neural Net...

引用

Integrated Intelligence and Communication Systems (ICIICS), International conference on

作者： Jia Wen School of Business Administration Guangzhou Institute of Science and Technology Guangzhou China

ISBN: (数字)9798331504960

ISBN: (纸本)9798331504977

In Recent years, E-commerce stands as a prominent testament to the transformative power of information and communications technologies in driving economic growth and development. Traditional approaches from short video ecommerce marketing had faced several issues which include large data size, required more computational resources. Therefore, this research proposes Convolutional Neural Network (CNN) based Transfer Learning with visual Geometry Group (VGG)16 for Short Video E-commerce Marketing. Initially, the data is taken from Buyer-generated Fashion Video (BFV) dataset and consists of fashion videos generated by users, showcasing their purchases and experiences with fashion products. The data is preprocessed by using frame extraction and then the features are extracted by using CNN based Transfer Learning with VGG16 which effectively reduces the training time and computational resources. Next, the You Only Look Once (YOLO) is used for feature engineering where YOLO enabled the analysis of object based features. Finally, the evaluation and optimization is done by Multi armed bandit where it provides efficient way to balance exploration and exploitation which enabled real time optimization. The proposed CNN based Transfer Learning with VGG16 achieved accuracy (0.955), precision (0.977), recall (0.968) and F1 Score (0.970) when compared with existing Hierarchical Oversampling Word Embedding Network (HOWNET).

关键词： YOLO Geometry Training visualization Transfer learning Feature extraction Convolutional neural networks Electronic commerce data mining Optimization

来源：评论

学校读者我要写书评

暂无评论

A Systematic Approach to Tuning Cover Parameters in Mapper for Improved TDA Representation

A Systematic Approach to Tuning Cover Parameters in Mapper f...

引用

Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), IEEE International conference on

作者： Stefano Vannoni Emma Tassi Inês Won Sampaio Anna M. Bianchi Eleonora Maggioni Dept. of Electronics Information and Bioengineering Politecnico di Milano Milan Italy Dept. of Neurosciences and Mental Health Fondazione IRCCS Ca’ Granda Osp. Maggiore Policlinico Milan Italy

ISBN: (数字)9798350378009

ISBN: (纸本)9798350378016

Topological data analysis (TDA) offers a powerful framework for analyzing complex datasets by leveraging algebraic topology to unveil underlying structures. Within TDA, the Mapper algorithm plays a pivotal role in transforming data into a simplified graph representation, known as a simplicial complex. However, selecting appropriate parameters within the Mapper algorithm remains a challenge due to the absence of a standardized approach. In this study, we propose a systematic methodology for choosing Cover parameters by integrating quantitative assessment, using the Netsimile metric and graph topological features, with qualitative visual analysis. We demonstrate the efficacy of our approach using brain features from the Human Connectome Project dataset. Through a comprehensive evaluation, we identify parameter configurations that enhance graph properties stability producing informative graph structures. Our findings highlight the importance of integrating quantitative metrics into the parameter selection process, paving the way for enhanced data exploration and understanding. The open-source nature of our methodology promotes broader adoption and application across diverse datasets and analytical workflows.

关键词： Measurement visualization Systematics Extended reality Neural engineering Metrology Stability analysis Topology Tuning Testing

来源：评论

学校读者我要写书评

暂无评论

visual exploration of Urban Road Network Traffic Based on Reconstructed Trajectory data 21

Visual Exploration of Urban Road Network Traffic Based on Re...

引用

20th and 21st Joint COTA International conference of Transportation Professionals - Advanced Transportation, Enhanced Connection

作者： He, Ning Liu, Linwei Ma, Chengyuan Gao, Lizhi Tang, Guangying Yu, Chunhui ShenZhen Genvict Technol Co Ltd Shenzhen Guangdong Peoples R China Tongji Univ Coll Transportat Engn Shanghai Peoples R China

ISBN: (纸本)9780784483565

There are a lot of Automotive Vehicle Identification (AVI) devices in urban traffic environment in some Chinese cities. Vehicles will leave a series of timestep-location records when travelling through the road network, which is a valuable data source for macroscopic traffic supply-demand analysis. A method using the AVI data based on the Arcgis platform to reconstruct vehicles' trajectories is proposed, which can obtain nearly full sample of vehicles' reconstructed trajectories in the road network with devices. The macroscopic features of traffic demand are explored based on the reconstructed trajectory data. Through visual analysis, the distribution of traffic OD demand, traffic volume and spatial-temporal changes are obtained. Additionally, the relationship between traffic supply and demand is evaluated from the macroscopic view.

关键词： Trajectories

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246页 << < 40 41 42 43 44 45 46 47 48 49 > >>

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：