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

1,325 篇 会议
27 册 图书
7 篇 期刊文献

馆藏范围

1,359 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

973 篇 工学
- 918 篇 计算机科学与技术...
- 635 篇 软件工程
- 236 篇 信息与通信工程
- 131 篇 控制科学与工程
- 101 篇 生物工程
- 97 篇 电气工程
- 64 篇 安全科学与工程
- 60 篇 动力工程及工程热...
- 58 篇 交通运输工程
- 58 篇 网络空间安全
- 47 篇 机械工程
- 47 篇 生物医学工程（可授...
- 42 篇 仪器科学与技术
- 29 篇 建筑学
- 28 篇 环境科学与工程（可...
354 篇 理学
- 183 篇 数学
- 113 篇 生物学
- 74 篇 统计学（可授理学、...
- 58 篇 化学
- 41 篇 物理学
- 31 篇 系统科学
347 篇 管理学
- 237 篇 管理科学与工程(可...
- 213 篇 图书情报与档案管...
- 121 篇 工商管理
62 篇 法学
- 52 篇 社会学
61 篇 医学
- 54 篇 临床医学
- 50 篇 基础医学(可授医学...
- 32 篇 药学(可授医学、理...
47 篇 经济学
- 47 篇 应用经济学
28 篇 教育学
- 28 篇 教育学
14 篇 农学
7 篇 文学
2 篇 军事学

主题

256 篇 big data
79 篇 artificial intel...
67 篇 cloud computing
63 篇 machine learning
50 篇 computational mo...
49 篇 deep learning
42 篇 internet of thin...
41 篇 data models
35 篇 training
27 篇 data mining
25 篇 neural networks
24 篇 smart cities
23 篇 predictive model...
23 篇 edge computing
21 篇 computational in...
21 篇 feature extracti...
19 篇 industries
18 篇 object detection
17 篇 social networkin...
16 篇 data privacy

机构

14 篇 ajou univ dept a...
13 篇 school of big da...
12 篇 renmin univ chin...
11 篇 beijing key lab ...
9 篇 college of compu...
7 篇 university of ch...
7 篇 beijing universi...
6 篇 school of comput...
6 篇 key laboratory o...
6 篇 school of comput...
6 篇 key laboratory o...
6 篇 shandong fundame...
5 篇 college of big d...
5 篇 national enginee...
5 篇 shiga university...
5 篇 ajou univ dept i...
5 篇 riken center for...
5 篇 gaoling school o...
5 篇 chongqing univ s...
5 篇 college of intel...

作者

13 篇 shin hyunjung
10 篇 liu yong
7 篇 geng xin
6 篇 zhou xiaokang
6 篇 dai fei
6 篇 mariano vladimir...
6 篇 li shaojie
6 篇 wang jun
5 篇 xu ning
5 篇 wang xiaofei
5 篇 li xiuhua
5 篇 yang yang
5 篇 su bing
5 篇 kim myungjun
5 篇 zhao wei
5 篇 qi jinli
5 篇 wu yanmin
5 篇 jin hai
5 篇 gao yanxia
5 篇 liu yiwen

语言

1,331 篇 英文
21 篇 其他
9 篇 中文
1 篇 西班牙文

检索条件"任意字段=International Conference on Big Data Intelligence and Computing, DataCom 2022"

共 1359 条记录，以下是531-540 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：

Application of graph calculation based on SparkGraphX in social circle

Application of graph calculation based on SparkGraphX in soc...

引用

2021 international conference on Computer Graphics, Artificial intelligence, and data Processing, ICCAID 2021

作者： Ma, Zhaohui Zhao, Ruizhe Li, Panying Han, Yuxuan Mu, Yingxue Wen, Xiumei College of Information Engineering Hebei University of Architecture Big Data Technology Innovation Center of Zhangjiakou Hebei Zhangjiakou075000 China

ISBN: (数字)9781510652170

ISBN: (纸本)9781510652163

In social life, social circle has always been a concern of people, and it is also a hot research issue in computer and other disciplines. With more and more social network users, the amount of data on the network is growing rapidly, and the scale of graph data is becoming larger and larger, which leads to the problem of computing social networks more and more difficult. SparkGraphX is a very important component in the spark framework and has great advantages in distributed computing and iteration. Using the built-in graph calculation function in SparkGraphX, we can quickly find everyone's social circle and greatly improve the calculation efficiency. © 2022 SPIE.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Geo-Distributed data Analytics Using Novel Cloud Resource Provisioning Method 7

Geo-Distributed Data Analytics Using Novel Cloud Resource Pr...

引用

2022 7th international conference on Information Science, Computer Technology and Transportation, ISCTT 2022

作者： Li, Hang Xu, Wenxin Cheng, Shuai Zhao, Jizhuang Artificial Intelligence Department China Telecom Research Institute Beijing China

ISBN: (纸本)9783800760565

With the increasing demands for cloud&network convergence computing over big data analytics, the problem of balancing the utilization of cloud resource and optimization of query response time has become more and more urgent. As a result, the selection of optimal data transmission path is considered as the top priority. The paper proposes an optimized cloud resource provisioning and allocating method to execute cross domain data analytics. As the experiments results shown, compared with the baseline approach, the proposed method presents a great significance for the prospect of applications which rely on cloud resource allocation. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Cloud analytics

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Machine Learning Approaches in Smart Agriculture 1

Comparative Analysis of Machine Learning Approaches in Smart...

引用

1st international conference on Machine Learning, Computer Systems and Security, MLCSS 2022

作者： Tripathy, Niva Tripathy, Subhranshu Sekhar Rath, Mamata Pattanayak, Binod Kumar Mishra, Kaushik Driems Autonomous College Dept. of Computer Science & Engg. Odisha Cuttack India Faculty of Engineering and Technology Iter Department of Computer Science and Engineering Odisha Bhubaneswar India Sambalpur University Institute of Information Technology Dept. of Computer Science & Engineering Burla India

ISBN: (纸本)9781665454933

In India's economy, agriculture is crucially significant. Agriculture automation is a major source of concern and a hot topic all around the world. The world's population is constantly growing, and with it comes increased demand for food as well as occupation. The farmers' old methods were inadequate to satisfy these requirements. As a result, new automated approaches were proposed. These new methods met food demands while simultaneously providing work opportunities for billions of people. Several methods are used for efficient farm management like IoT, cloud computing, AI, machine learning, deep learning, big data, etc. Among these big data is an emerging research area for crop yield prediction. Traditionally, these forecasts were reliant on the farmers' expertise, but now they can roughly anticipate the crop output on their farm by employing a variety of methods. In this paper, we have proposed a recommendation model along with an algorithm to evaluate the future year's crop production. We have compared the random forest machine learning algorithm with the big data algorithm. A brief comparison has been made with these algorithms. The proposed model has been implemented using python. © 2022 IEEE.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

EDPP: Intelligent and Robust data Sharing Framework using Enhanced data Preserving Paradigm

EDPP: Intelligent and Robust Data Sharing Framework using En...

引用

2022 IEEE international conference on Advances in computing, Communication and Applied Informatics, ACCAI 2022

作者： Elantamilan, D. Gnanavel, R. Vinod, D. Nalini, M.K. Dhinakaran, K. Vallal P. T. Lee Chengalvaraya Naicker Arts and Science College Department of Computer Science Chennai112 India R.M.K. College of Engineering and Technology Department of Computer Science and Engineering Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Dept of CSE Chennai India BMS College of Engineering Department of ISE Bangalore India Dhanalakshmi College of Engineering Department of Artificial Intelligence and Data Science Chennai India

ISBN: (纸本)9781665495295

Growing amounts of information sources are required as the quantity of available information from various sources, both self governing and heterogeneous data maintenance requirement increases. A major component of the increased interest in big data is the heterogeneity of the data itself. In this work, data communications is researched, in which it is the method of constructing a specific case of direct instruction from an illustration of reference conceptual framework, so that when the eventually results entity conforms with target schema configuration. The logic of schema mappings are high-level expressions used to specify relationships across databases and are often used in this process. The experimental results of this paper provide proper proof to the efficiency of research and the results are acquired based on the real-Time working emulations. © 2022 IEEE.

关键词： Electronic data interchange

来源：评论

学校读者我要写书评

暂无评论

Facial Expression Recognition Method Based on Convolutional Neural Network and data Enhancement 2

Facial Expression Recognition Method Based on Convolutional ...

引用

2nd international conference on Consumer Electronics and Computer Engineering, ICCECE 2022

作者： Yao, Lisha Su, Kang School of Big Data and Artificial Intelligence Anhui Xinhua University Anhui Hefei China College of Computing and Information Technologies National University Manila Philippines

ISBN: (纸本)9781665408868

The effect of direct data on original facial expression recognition is not good. In order to further improve the expression recognition effect of convolutional neural network, this paper proposes an expression recognition method based on convolutional neural network and data enhancement. This paper improves the existing Alexnet network and designs a suitable network structure. At the same time, data enhancement was carried out on FER2013 data set to improve the effect of facial expression recognition. Experiments prove the effectiveness of the proposed method and verify that the proposed algorithm improves the accuracy of facial expression recognition to a certain extent. © 2022 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

USING REORDERABLE HEATMAPS AS A SUPPORT FOR data ASSIMILATION IN PETROLEUM RESERVOIR MANAGEMENT AND DEVELOPMENT PROCESSES 16

USING REORDERABLE HEATMAPS AS A SUPPORT FOR DATA ASSIMILATIO...

引用

16th international conference on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2022, 8th international conference on Connected Smart Cities, CSC 2022, 7th international conference on big data Analytics, data Mining and Computational intelligence, bigDaCI 2022, and 11th international conference on Theory and Practice in Modern computing, TPMC 2022 - Held at the 16th Multi conference on Computer Science and Information Systems, MCCSIS 2022

作者： Turato, Gabriel Paulo de Oliveira, João Gabriel Nogueira Duarte Santos, Antonio Alberto S. Schiozer, Denis José da Silva, Celmar Guimarães School of Technology University of Campinas São Paulo Limeira Brazil Center for Petroleum Studies University of Campinas São Paulo Campinas Brazil School of Mechanical Engineering University of Campinas São Paulo Campinas Brazil

ISBN: (纸本)9789898704429

Petroleum exploration activities demand the creation of lots of models to represent the uncertainties of a given reservoir, aiming to guide decision-making regarding exploration strategies. As part of these activities, a data assimilation process may refine the model set and discard models that do not honor the history data of the reservoir, given an error tolerance level. Reservoir engineers may use visualizations to analyze the partial results of iterative data assimilation processes and make decisions such as accepting the models selected in an iteration or refining the model set. Among a set of available visualizations for this process, we did not find in the literature the use of interactive heatmaps based on reorderable matrices. In this paper, we propose to add this kind of visualization to the analysis toolset for data assimilation, aiming to help engineers to better overview data assimilation datasets and how their models honor the history data of a reservoir. The proposed visual mappings use a set of heatmaps that enable the engineers to analyze a misfit measure (NQDS) for a given iteration, regarding models, wells, and their dynamic attributes. Users may reorder and filter these heatmaps according to their needs. We implemented our proposal in a web-based prototype that was submitted to a preliminary evaluation with real users in a synthetic scenario. This evaluation revealed positive opinions about the potential of the tool, which may be used to complement other approaches, and provided some opportunities for improvement. © MCCSIS *** rights reserved.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

Private data Protection as Countermeasure Against Misuses of Medical Intelligent Technology data: A Literature Study 8

Private Data Protection as Countermeasure Against Misuses of...

引用

8th IEEE international conference on computing, Engineering and Design, ICCED 2022

作者： Praseptiadi Dahlian Persadha, Pratama Susandi, Armi Mantoro, Teddy State Intelligence College Medical Intelligence Post-graduate Program Bogor Indonesia Sampoema University Media-Tech Lab Department of Computer Science Jakarta Indonesia

ISBN: (纸本)9781665453899

Medical Technologies develop along with the development of the Industrial Revolution 4.0 (I.R. 4.0). In I.R. 4.0, a collaborative ecosystem is formed between cyber technology and automation technology to be able to create intelligent systems to facilitate various human activities, including activities related to health. The most important thing in the system is data since it is the basis for the development of various key icons technologies in the I.R. 4.0: Cloud computing, Internet of Things (IoT), big data, Artificial intelligence (Al), Augmented Reality, and Cyber Security. Unfortunately, with the variety of I.R. 4.0 products, the data produced by these products is also scattered everywhere. Misuse of this scattered data - which the owner may not even know where the data are stored - can harm the individual concerned, and even the very existence of the state. Healthcare services now are undergoing Digital Transformation in which these data were needed to build high-quality services. The Health Digital Transformation strategy changes the direction of health services to be simpler and easier to use by the public, increasing efficiency, and thus providing a higher quality health service system so that it can trigger better economic growth. On the regulatory aspect, The Private data Protection Bill was proposed by the Indonesian government to protect the data of the Indonesian people. Literature studies are used to obtain knowledge between the three: technology development, digital transformation in healthcare, and private data protection. This study seeks how important private data protection regulation is to realize digitally transformed healthcare. The study conducted indicates Private data Protection Bills have the means to guarantee the rights of the data owner and prevent their data (including medical intelligence data) to be misused. © 2022 IEEE.

关键词： Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Benchmarking a High Performance computing Heterogeneous Cluster 1

引用

14th international conference on Parallel Processing and Applied Mathematics, PPAM 2022

作者： Carracciuolo, Luisa Bottalico, Davide Michelino, Davide Sabella, Gianluca Spisso, Bernardino CNR - National Research Council Rome Italy University of Naples Federico II Naples Italy INFN - National Institute for Nuclear Physics Rome Italy

ISBN: (数字)9783031304453

ISBN: (纸本)9783031304446

The paper describes the results of some benchmarking tests aimed to verify and validate all the solutions implemented during the deployment of a HPC heterogeneous resource acquired by the data center of the University of Naples "Federico II" thanks to the funds of the IBiSCo (Infrastructure for big data and Scientific computing) Italian National Project. The first set of benchmarks evaluates how the network interconnection technologies affect the inter- and intra-node communications of GP-GPU workloads. The second set evaluates the performance of the Lustre parallel file system to ensure an efficient environment for data-intensive applications. The tests, especially those that analyze the lower level of the middleware (micro-benchmarks), seem to confirm the ability of the resource to guarantee the expected performance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Benchmarking

来源：评论

学校读者我要写书评

暂无评论

Proceedings of the international conference on Artificial intelligence Techniques for Electrical Engineering Systems (AITEES 2022) 1

Proceedings of the International Conference on Artificial In...

引用

丛书名： Atlantis Highlights in Intelligent Systems

2023年

作者： Valentina E. Balas Ramesh C. Bansal Siva Kumar Mangipudi Subhojit Dawn

ISBN: (数字)9789462392663

ISBN: (纸本)9789462392656

The book invites submission of novel, recent area of innovation and previously unpublished research work/idea in the field of modern applications of artificial intelligence techniques to electrical engineering systems. The applications of artificial intelligence related to various fields of electrical engineering are mentioned in the conference tracks. The conference is meant to discuss the challenges and applications of latest evolutionary computing techniques, neural networks, fuzzy logic, machine learning and data analytics in the fields of power systems, power electronics, robotics, automation, instrumentation, control systems, mechatronics and photonics. It provides a platform to the students, researchers, scientists, faculty members, professionals and practitioners to interact, present and get innovative ideas in the field of electrical engineering. As a part of AITEES-2022, many keynote sessions are planned to enhance the research and innovation skills of participants. Eminent professors from academic institutions and world renowned industrial experts from India and abroad will deliver keynote sessions.

关键词： Artificial intelligence Computer Science Machine Learning big data

来源：评论

学校读者我要写书评

暂无评论

Metaheuristic Algorithms for Enhancing Multicepstral Representation in Voice Spoofing Detection: An Experimental Approach 15th

Metaheuristic Algorithms for Enhancing Multicepstral Represe...

引用

15th international conference on Advances in Swarm intelligence (ICSI)

作者： Contreras, Rodrigo Colnago Heck, Gustavo Luiz Viana, Monique Simplicio dos Santos Bongarti, Marcelo Adriano Zamani, Hoda Guido, Rodrigo Capobianco Sao Paulo State Univ UNESP Inst Biosci Letters & Exact Sci Sao Jose Do Rio Preto SP Brazil Univ Sao Paulo Sao Carlos SP Brazil Univ Fed Sao Carlos Sao Carlos SP Brazil Weierstr Inst Berlin Germany Islamic Azad Univ Fac Comp Engn Najafabad Iran Islamic Azad Univ Najafabad Branch Big Data Res Ctr Najafabad Iran

ISBN: (纸本)9789819771806;9789819771813

The problem of voice spoofing detection is critical for identity authentication within biometric systems. Among the existing countermeasures, those based on soft computing have received attention from researchers in the last few years. However, it is known that spoofing representation is only effective when many features are used, which limits its applicability due to the curse of dimensionality. Accordingly, we focus on strategies to reduce the dimensionality of multicepstral features while maintaining reasonable accuracy in distinguishing between real and spoofed voices. Given the complexity of voice data, identifying and prioritizing the features with the highest information content is of utmost relevance. The study utilized four metaheuristic algorithms-GA, DA, PSO, and GWO for dimension reduction. The findings indicate that all algorithms, particularly GWO, exceed baseline performance levels. This demonstrates their efficacy in detecting voice spoofing. Moreover, it was found that certain combinations of cepstral coefficients when applied with principal component analysis projection, notably enhanced the model's performance of voice spoofing detection.

关键词： Spoofing Detection Cepstral Features Dimensionality Reduction Metaheuristic Algorithms

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136页 << < 50 51 52 53 54 55 56 57 58 59 > >>

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：