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

3,187 篇 会议
42 册 图书
26 篇 期刊文献

馆藏范围

3,255 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,218 篇 工学
- 2,035 篇 计算机科学与技术...
- 1,329 篇 软件工程
- 420 篇 信息与通信工程
- 340 篇 电气工程
- 304 篇 控制科学与工程
- 153 篇 机械工程
- 128 篇 生物工程
- 126 篇 交通运输工程
- 116 篇 动力工程及工程热...
- 110 篇 生物医学工程（可授...
- 103 篇 安全科学与工程
- 81 篇 环境科学与工程（可...
- 72 篇 仪器科学与技术
- 71 篇 建筑学
- 67 篇 电子科学与技术（可...
676 篇 管理学
- 514 篇 管理科学与工程(可...
- 312 篇 工商管理
- 251 篇 图书情报与档案管...
500 篇 理学
- 245 篇 数学
- 138 篇 生物学
- 96 篇 统计学（可授理学、...
- 73 篇 系统科学
- 65 篇 物理学
152 篇 医学
- 142 篇 临床医学
- 132 篇 基础医学(可授医学...
- 76 篇 药学(可授医学、理...
- 75 篇 公共卫生与预防医...
138 篇 法学
- 105 篇 社会学
114 篇 经济学
- 113 篇 应用经济学
67 篇 教育学
- 67 篇 教育学
63 篇 农学
2 篇 文学
2 篇 军事学

主题

377 篇 big data
258 篇 internet of thin...
231 篇 cloud computing
134 篇 machine learning
132 篇 edge computing
129 篇 real-time system...
103 篇 data analytics
98 篇 artificial intel...
97 篇 smart cities
94 篇 intelligent sens...
88 篇 monitoring
83 篇 data models
79 篇 smart city
78 篇 data mining
74 篇 blockchain
72 篇 predictive analy...
64 篇 deep learning
64 篇 sensors
60 篇 security
59 篇 iot

机构

14 篇 jilin engineerin...
9 篇 hubei province k...
8 篇 school of comput...
8 篇 fujian provincia...
7 篇 institute for in...
7 篇 chitkara univers...
7 篇 liaoning jianzhu...
7 篇 school of econom...
6 篇 college of compu...
6 篇 fuzhou universit...
6 篇 symbiosis instit...
5 篇 china electric p...
5 篇 school of big da...
5 篇 luoyang normal u...
5 篇 smart agricultur...
5 篇 comsats univ isl...
5 篇 college of mecha...
5 篇 guangzhou colleg...
5 篇 electrical and i...
5 篇 university of ma...

作者

18 篇 javaid nadeem
9 篇 xu hongsheng
8 篇 leung carson k.
7 篇 zeng zeng
7 篇 xu xiaolong
7 篇 chang kuo-chi
7 篇 ramakrishnan ram...
6 篇 tang you
6 篇 doukovska lyubka
6 篇 wang wei
6 篇 cuzzocrea alfred...
5 篇 liu yang
5 篇 silva jesús
5 篇 vikrant bhateja
5 篇 fan ganglong
5 篇 vale zita
5 篇 qiu meikang
5 篇 cristea valentin
5 篇 stoyanov stanimi...
5 篇 wang yong

语言

3,049 篇 英文
195 篇 其他
23 篇 中文

检索条件"任意字段=International Conference on Intelligent and Smart Computing in Data Analytics, ISCDA 2020"

共 3255 条记录，以下是1821-1830 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：

Applying a Business Intelligence System in a Big data Context: Production Companies 3rd

Applying a Business Intelligence System in a Big Data Contex...

引用

international conference on Computational Vision and Bio-Inspired computing (ICCVBIC)

作者： Silva, Jesus Gaitan, Mercedes Varela, Noel Maldonado Perez, Doyreg Pineda Lezama, Omar Bonerge Univ Peruana Ciencias Aplicadas Lima Peru Corp Univ Empresarial Salamanca CUES Baranquilla Colombia Univ Costa CUC Calle 58 55-66 Atlantico Baranquilla Colombia Univ Tecnol Ctr Amer UNITEC San Pedro Sula Honduras

ISBN: (纸本)9783030372187;9783030372170

Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, but of regions, countries and continents in the short, medium and long term. Thus, it is no surprise that governments such as the United States and the European Commission are already taking this into consideration in the development of their industrial policies. This article presents a case of the implementation of a BI system in an industrial food environment with Big data characteristics in which information from various sources is combined to provide information that improves the decision-making of the controls.

关键词： Industry 4.0 Big data Business Intelligence (BI) Food industry ERP systems

来源：评论

学校读者我要写书评

暂无评论

6th international conference on Big data and Cloud computing Challenges, ICBCC 2019

6th International Conference on Big Data and Cloud Computing...

引用

6th international conference on Big data and Cloud computing Challenges, ICBCC 2019

ISBN: (纸本)9789813298880

The proceedings contain 14 papers. The special focus in this conference is on Big data and Cloud computing Challenges. The topics include: Automated Resource Management on AWS Cloud Platform;multiobjective Virtual Machine Placement Using Evolutionary Algorithm with Decomposition;Reliable Broadcast Based Emergency data Dissemination in VANET by Segmentation of Road Using Contention Window by Hybrid Partitioning Approach;managing Blockchain Projects with Agile Methodology;MEDIDRONE—A Predictive analytics-Based smart Healthcare System;sales Segmentation for a Mobile Phone Service Through Logistic Regression Algorithm;predictive Model for Detecting Customer’s Purchasing Behavior Using data Mining;prediction Rules in E-Learning Systems Using Genetic Programming;database Knowledge Discovery in Marketing Companies;Segmentation of Sales for a Mobile Phone Service Through CART Classification Tree Algorithm;influence of Knowledge Management Between the Bank and the Local Socioeconomic Development: Correlational Analysis;Characterization of Latin American Universities in the TOP10 of the Rankings.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Analysis on the Importance of Price Support-Resistance Levels of Chinese Stock Market Based on the Proposed Information Granulation and FCM Clustering Algorithm

Analysis on the Importance of Price Support-Resistance Level...

引用

international conference on Cyber Security Intelligence and analytics (CSIA)

作者： Wang, Xianchang Wang, Jiayu Lin, Xuhong Xue, Lin Zhu, Meiying Song, Qianqian Wang, Xin Dalian Ocean Univ Sch Sci Dalian 116026 Peoples R China Dalian Maritime Univ Coll Sci Dalian 116026 Peoples R China

ISBN: (纸本)9783030152352;9783030152345

With growing popularity of Big data Analysis, Predicting the Support-Resistance Levels of stock prices is important problem, due to an investor in stock market ideally should get maximum returns on the investment made and for that should know how importance of Support-Resistance Levels. In this paper, we analysis the significance of price Support-Resistance Levels of Chinese Stock Market based on the proposed information granulation and FCM fuzzy clustering algorithm. The Proposed stock information granulation method considers the observed historical closing price of day K-line and 15-Minutes Kline. The research data set that has been used in this study is from Chinese Stock Market. Through analysis of experimental study, we found that the effectiveness of Support-Resistance Levels is nearly about Two-thirds.

关键词： Fuzzy logic Information granulation Chinese Stock Market Support-Resistance Levels Stock data

来源：评论

学校读者我要写书评

暂无评论

data Life Cycle Management in Big data analytics 1

Data Life Cycle Management in Big Data Analytics

引用

1st international conference on smart Sustainable intelligent computing and Applications, ICITETM 2020

作者： Rahul, Kumar Banyal, Rohitash Kumar Department of Computer Science and Engineering Rajasthan Technical University Kota Rajasthan324010 India Basic and Applied Science Niftem Sonepat Haryana131028 India

data life cycle management is very much useful for any enterprise or application where data is being used and processed for producing results. data's appearance for a certain period time ensures accessibility and usability in the system. data generated through different sources and it is available in various forms for accessibility. A big data-based application such as the healthcare sector generates lots of data through sensors and other electronic devices which can be further classified into a model for report generations and predictions for various purposes for the benefits of patients and hospitals as well. The data life cycle presents the entire data process in the system. The lifecycle of data starts from creation, store, usability, sharing, and archive and destroy in the system and applications. It defines the data flow in an organization. For the successful implementation of the model, there is a need to maintain the life cycle of data under a secured system of data management. This paper deals with the data life cycle with different steps and various works are done for data management in different sectors and benefits of the data life cycle for industrial and healthcare applications including challenges, conclusions, and future scope. © 2020 The Authors. Published by Elsevier B.V.

关键词： Information management

来源：评论

学校读者我要写书评

暂无评论

Variant transfer learning for wood recognition 13

Variant transfer learning for wood recognition

引用

2020 IEEE Congress on Cybermatics: 13th IEEE international conferences on Internet of Things, iThings 2020, 16th IEEE international conference on Green computing and Communications, GreenCom 2020, 13th IEEE international conference on Cyber, Physical and Social computing, CPSCom 2020 and 6th IEEE international conference on smart data, smartdata 2020

作者： Huang, Penggui Zhao, Fan Li, Xiaoping Wu, Zhangkang Zhu, Zheng Zhang, Yanfeng School of Big Data and Intelligent Engineering Southwest Forestry University Kunming China School of Materials Engineering Southwest Forestry University Kunming China

ISBN: (纸本)9781728176475

Wood classification and recognition technology has always been a research hotspot and difficulty in the field of materials engineering. Early wood classification and recognition technology focused on the extraction of features. At this stage, wood classification can automatically extract wood picture features and classify and recognize them. However, this method requires more wood samples, so transfer learning technology is used to solve the problem of insufficient sample numbers. In a mixed data set of public coniferous and broad-leaved tree species, the recognition accuracy and convergence speed of the migration learning method are not enough. Therefore, we have improved the transfer learning technology so that it can be trained quickly and has a higher recognition accuracy. Our method has an accuracy of 93.07% for the recognition of this data set, which is higher than the method used by the data provider. And compared with previous methods, this method has higher recognition accuracy and more stable recognition performance. © 2020 IEEE.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Informatization construction of minority languages and characters under the background of big data

Informatization construction of minority languages and chara...

引用

1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Li, Na College of Arts and Sciences Yunnan Normal University KunmingYunnan China

ISBN: (纸本)9789811525674

China is a multi-ethnic socialist country, and the relations between various ethnic groups are united. To treat minority languages, we need to respect their characteristics, promote minority culture, and develop minority education. The informatization construction of minority languages is conducive to the protection and development of rich national language resources. This paper briefly introduces the basic connotation of big data and the related characteristics of minority languages. Based on the analysis of the status quo of minority languages in the context of big data, this paper discusses how to promote minority languages in the context of big data. Borrowing big data with existing information, resources and technology, in-depth excavation, rational construction of minority language and language resources, and speeding up the construction of minority text information platform;combining strict cultural propaganda and minority language features to establish strict norms To build a website for minority languages and texts, and accelerate the development of software for minority languages, with a view to realizing the informationization of minority languages in the true sense. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Countermeasures for the innovative development of China’s sports industry under the background of big data

Countermeasures for the innovative development of China’s s...

引用

1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Deng, Chenliang Tang, Zhaohua Zhao, Zhangzhi Sports Department University of Electronic Science and Technology of China Chengdu610054 China

ISBN: (纸本)9789811525674

The traditional sports industry structure has undergone radical changes under the background of big data. Big data with the top technology level provides numerous sports consumers with more personalized, customized, precise and other services that the traditional sports industry cannot imagine. Big data under the background of development of sports industry should speed up the industrialization of sports work practice, aim at sports market positioning, execution concept updating and solid talent pool, take the initiative to improve sports personalized content customization platform, software and information service as the core to build sports industry chain, industry focus on the core elements to optimize the perfect sports industry development environment, the value of using big data to grasp the sports industry development opportunities. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Design and Development of intelligent Teaching System Supported by Internet of Things, VR and Cloud computing

Design and Development of Intelligent Teaching System Suppor...

引用

international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Ren, Jianlan Jiangxi Vocational and Technical College of Communications Nanchang China

ISBN: (纸本)9783030433055

With the continuous development of network information technology and education, China’s education model has begun to transform and upgrade, people pay more and more attention to the establishment of interactive teaching model. The establishment of the interactive teaching model is based on the intelligent teaching system. The development and application of the intelligent teaching system reflects the progress of the education model, which can effectively strengthen the mutual communication between teachers and students and improve students’ learning initiative. Based on this, the design and development of a set of intelligent teaching system supported by Internet of things, VR and cloud computing has become the inevitable requirement of the transformation of education model and the inevitable trend of education development. The purpose of this paper is to accelerate the development process of the intelligent teaching system and promote the transformation and upgrading of China’s education model through the research on the design and development of the intelligent teaching system. In this paper, related concepts such as Internet of things, VR and cloud computing are firstly summarized, combined with relevant research data, and specific ideas for the development and design of intelligent teaching system are proposed. Finally, the operation of this teaching system is tested and tested by means of comprehensive data processing algorithm. The experiments in this paper show that the intelligent teaching system is reliable and scientific, and can promote the transformation of teaching mode. © Springer Nature Switzerland AG 2020.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

1st international conference on Systems and Information Sciences, ICCIS 2020

1st International Conference on Systems and Information Scie...

引用

1st international conference on Systems and Information Sciences, ICCIS 2020

ISBN: (纸本)9783030591939

The proceedings contain 37 papers. The special focus in this conference is on Systems and Information Sciences. The topics include: Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals;Characterization of Braking and Clutching Events of a Vehicle Through OBD II Signals;PESTEL Analysis as a Baseline to Support Decision-Making in the Local Textile Industry;occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators;model of Classification of University Services Using the Polarity of Opinions Taken from Social Networks;clustering Analysis of Electricity Consumption of Municipalities in the Province of Pichincha-Ecuador Using the K-Means Algorithm;Behavioral Signal Processing with Machine Learning Based on FPGA;complementary Admission Processes Implemented by Ecuadorian Public Universities Promote Equal Opportunities in Access: An Analysis Through Knowledge Discovery in databases;LOLY 1.0: A Proposed Human-Robot-Game Platform Architecture for the Engagement of Children with Autism in the Learning Process;aphids Detection on Lemons Leaf Image Using Convolutional Neural Networks;alternative Psychological Treatment for Patients with a Diagnosis of Entomophobia with Virtual Reality Environments;designing a Lighting System for smart Homes;green Energy for the Reception and Processing of Satellite and Microwave Signals;Network Design Defined by Software on a Hyper-converged Infrastructure. Case Study: Northern Technical University FICA data Center;Study of the Fronthaul WDM Applied to the Cloud RAN of 5G-CRAN;Evaluation of the Broadcast Storm Problem Based on Hybrid Retransmissions Algorithms in FANET Networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Analysis of Mapping Knowledge Domain on Health and Wellness Tourism in the Perspective of Cite Space

Analysis of Mapping Knowledge Domain on Health and Wellness ...

引用

international conference on Machine Learning and Big data analytics for IoT Security and Privacy, SPIoT 2020

作者： Wang, Cheng Luo, Huifan Wang, Ronghong School of Tourism and Economy Management Lijiang Teachers College LijiangYunnan674199 China School of International Culture Exchange Lijiang Teachers College LijiangYunnan674199 China Tourism Research Center LijiangYunnan674199 China

ISBN: (纸本)9783030627454

This research is aimed to reveal the situations of studies on health and wellness tourism, which will also provide theoretical guide for those who has been involved in or will be involved in this field. Taking Cite space as the analysis tool this research proceeds by means of online visual analysis of database, which has been collected through mapping knowledge domains including keyword burstiness, keyword cluster and sigma. It has been discovered that the research frontier of China’s health and wellness tourism has been developing and diversifying including wellness tourism, towns of health and wellness tourism, destinations of health and wellness tourism, health and wellness tourism productions, health and wellness tourism industries, rural revitalization, ecological tourism and development paths etc. Conclusions have been arrived that in recent years, studies on China’s health and wellness tourism have been started, at a stage of exploring, whose theoretical study lags behind practice. It is necessary to improve the quality of theoretical study of China’s health and wellness tourism to guide its green development, ecological development and healthy development with unlimited potentials. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Mapping

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326页 << < 179 180 181 182 183 184 185 186 187 188 > >>

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：