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

6,837 篇 会议
70 篇 期刊文献
44 册 图书

馆藏范围

6,952 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,943 篇 工学
- 3,644 篇 计算机科学与技术...
- 2,747 篇 软件工程
- 1,195 篇 信息与通信工程
- 706 篇 控制科学与工程
- 511 篇 电气工程
- 472 篇 生物工程
- 333 篇 网络空间安全
- 312 篇 生物医学工程（可授...
- 275 篇 电子科学与技术（可...
- 261 篇 动力工程及工程热...
- 216 篇 交通运输工程
- 216 篇 安全科学与工程
- 210 篇 机械工程
- 210 篇 仪器科学与技术
- 179 篇 光学工程
- 167 篇 化学工程与技术
- 166 篇 石油与天然气工程
1,718 篇 理学
- 1,019 篇 数学
- 492 篇 生物学
- 369 篇 统计学（可授理学、...
- 305 篇 物理学
- 255 篇 化学
- 194 篇 系统科学
1,361 篇 管理学
- 776 篇 图书情报与档案管...
- 744 篇 管理科学与工程(可...
- 353 篇 工商管理
339 篇 医学
- 270 篇 临床医学
- 261 篇 基础医学(可授医学...
- 169 篇 公共卫生与预防医...
- 164 篇 药学(可授医学、理...
195 篇 法学
129 篇 经济学
87 篇 农学
69 篇 教育学
19 篇 文学
8 篇 军事学
2 篇 艺术学

主题

311 篇 big data
294 篇 machine learning
211 篇 deep learning
210 篇 data mining
202 篇 data models
158 篇 cloud computing
139 篇 machine learning...
124 篇 training
119 篇 computational mo...
116 篇 feature extracti...
108 篇 signal processin...
102 篇 predictive model...
98 篇 internet of thin...
96 篇 signal processin...
94 篇 prediction algor...
88 篇 support vector m...
83 篇 data privacy
80 篇 artificial intel...
74 篇 sentiment analys...
72 篇 edge computing

机构

88 篇 maharishi school...
67 篇 centre of interd...
31 篇 department of ar...
28 篇 tianjin universi...
28 篇 college of compu...
27 篇 vishwakarma inst...
26 篇 department of co...
26 篇 department of el...
25 篇 chitkara univers...
25 篇 department of co...
22 篇 department of in...
20 篇 vivekananda glob...
18 篇 university of ch...
18 篇 vishwakarma inst...
17 篇 chitkara univers...
17 篇 lovely professio...
17 篇 department of sc...
16 篇 department of el...
15 篇 vishwakarma inst...
14 篇 key laboratory o...

作者

13 篇 ramakrishnan ram...
11 篇 dipannita mondal
10 篇 wang jing
10 篇 nitin n. sakhare
10 篇 mondal dipannita
10 篇 rajeswari d.
9 篇 jambi ratna raja...
8 篇 kumar ritesh
8 篇 akhilendra prata...
8 篇 xu xiaolong
8 篇 li zuoyong
7 篇 chen chen
7 篇 liu ying
7 篇 wang tao
7 篇 vaishali singh
7 篇 kodipalli ashwin...
7 篇 zhang jing
6 篇 zheng-guang wu
6 篇 bin wang
6 篇 ye jun

语言

6,664 篇 英文
279 篇 其他
62 篇 中文
1 篇 西班牙文
1 篇 葡萄牙文

检索条件"任意字段=2023 International Conference on Algorithms, Computing and Data Processing, ACDP 2023"

共 6952 条记录，以下是311-320 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：

Comparative analysis of machine learning algorithms for diabetes prediction using Real-time data-set 14

Comparative analysis of machine learning algorithms for diab...

引用

14th international conference on computing Communication and Networking Technologies, ICCCNT 2023

作者： Subasri, C.K. Jeyakumar, Vijay Sri Sivasubramaniya Nadar College of Engineering Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350335095

Breakthroughs help doctors in the case of analytic on health. Generally, health care analysis helps to spot early diagnosis of diseases. It helps mainly to improve the quality of healthcare and outcomes for patients. Machine Learning algorithms are used for early predictions based on data patterns. Mostly Machine Learning-based models are implemented in applications of diabetes diagnosis, for giving treatment. With the invention of new ML algorithms, the models have been increased effectively in delivering treatments for patients. The main research objective is to develop different ML algorithms for diabetes prediction. Further, the algorithms are compared by evaluating their accuracy, with performance metrics such as precision, recall, and F1-Score. By comparing with other algorithms CNN outperformed the other methods by attaining an accuracy rate of 96.26% as well as the proposed system acts as indicators to the doctors in which abnormal cases are identified from the collected samples which stands as novelty point. © 2023 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Proceedings of 2023 16th international conference Management of Large-Scale System Development, MLSD 2023

Proceedings of 2023 16th International Conference Management...

引用

16th international conference Management of Large-Scale System Development, MLSD 2023

ISBN: (纸本)9798350337907

The proceedings contain 173 papers. The topics discussed include: wheeled-robot orientation and navigation algorithm using visual-inertial system;optimization algorithms for informative features extraction to predict the aircraft electromechanical systems technical condition;multicriteria data processing management in the geographically distributed computing systems with QoS time requirements;application of artificial intelligence in a three-level organizational system (on the example of the agricultural sector);stability in games with uncertain factors;research of the filtering features of dynamic tracking differentiators of different dimensions;and models and methods for forecasting the data of the management system flood preparation and elimination.

关键词：

来源：评论

学校读者我要写书评

暂无评论

BCDS-SDN: Privacy and trusted data sharing using Blockchain based on a software-defined network's Edge computing architecture

BCDS-SDN: Privacy and trusted data sharing using Blockchain ...

引用

IEEE international conference on Communications (IEEE ICC)

作者： Sebbar, Anass Boulmalf, Mohammed Int Univ Rabat TICLab ESIN Rabat Morocco

ISBN: (纸本)9781538674628

Edge computing offloads the data processing capacity to the user side, provides flexible and efficient computing services for the development of the smart city, and brings many security challenges. To enhance the security of data sharing in edge computing, a secured blockchain shared data in Software Defined Networking System (BCDS-SDN) framework is proposed to ensure secured transactions between edge nodes and the Cloud, control access, and verify trusted edge from malicious nodes. The integration of SDN and blockchain concepts gives us the power to control and verify the identity of edge nodes to protect the infrastructure from many types of attacks, such as MitM, compromised channels, adding malicious nodes, and DDoS attacks. The combination of edge computing and Blockchain in a BCDS-SDN solution provides a vast scale of storage systems, database servers, and authenticated computation to the end in a secure manner. Our findings contribute toward more SDN-based security of data-sharing by providing a testbed-based proof of the efficiency and performance of Blockchain technology in ensuring the security of data-sharing in the edge-computing environment.

关键词： BCDS-SDN Blockchain edge computing SDN data sharing data privacy confidentiality integrity authentication

来源：评论

学校读者我要写书评

暂无评论

Power automation sensitive data classification algorithm based on trusted privacy computing technology 4

Power automation sensitive data classification algorithm bas...

引用

4th international conference on Machine Learning and Computer Application, ICMLCA 2023

作者： Li, Zehao Li, Yong Ju, Shuchun Inner Mongolia Power Research Institute Inner Mongolia Autonomous Region Hohhot010020 China CO LTD Inner Mongolia Autonomous Region Hohhot010010 China

ISBN: (数字)9781510680265

ISBN: (纸本)9781510680258

Traditional power automation sensitive data classification algorithms are prone to generalization errors, resulting in low geometric mean of data classification. Therefore, it is necessary to design a sensitive data classification algorithm for power automation based on trusted privacy computing technology. A power automation sensitive data classification model was constructed using trusted privacy computing technology, and an optimization framework for power automation sensitive data classification was generated, achieving the classification of power automation sensitive data. The experimental results show that the designed power automation sensitive data classification algorithm based on trusted privacy technology has a high geometric mean of data classification, proving that the designed power automation sensitive data classification algorithm has good classification performance, effectiveness, and certain application value. © 2024 SPIE.

关键词： Automation

来源：评论

学校读者我要写书评

暂无评论

Application of data Mining algorithms in College Enrollment Management 3

Application of Data Mining Algorithms in College Enrollment ...

引用

3rd international conference on Smart Generation computing, Communication and Networking, SMART GENCON 2023

作者： Lang, Huang Yan, Du Ze School of Software Shenyang University of Technology Sichuan Province Chengdu City611743 China

ISBN: (纸本)9798350319125

data mining algorithms have become an important tool for college enrollment management. The application of these algorithms enables universities to analyze large amounts of data and make informed decisions about enrollment, retention, and graduation rates. One of the most significant benefits of data mining in enrollment management is the ability to identify patterns and trends in student behavior. This information can be used to develop targeted marketing campaigns to attract specific student groups. In addition, data mining can help universities predict which students are at risk of dropping out or academic failure, enabling them to intervene early and provide support. Another important use of data mining algorithms in enrollment management is to predict student success. By analyzing historical data on student performance, universities can identify factors that contribute to academic success and use this information to improve their curriculum. Overall, the application of data mining algorithms in university enrollment management has completely changed the enrollment, retention, and graduation rates of universities. By obtaining a large amount of data and complex analytical tools, universities can make smarter decisions that benefit both students and institutions. © 2023 IEEE.

关键词： data mining Decision Tree Enrollment management Universities

来源：评论

学校读者我要写书评

暂无评论

IPL data Analysis and Visualization Using Microsoft Power BI Tool 14

IPL Data Analysis and Visualization Using Microsoft Power BI...

引用

14th international conference on computing Communication and Networking Technologies, ICCCNT 2023

作者： Jaipurkar, Manasvi Ragit, Neha Tambuskar, Chetana Saraf, Pranay Deepak G H Raisoni College of Engineering Nagpur India

ISBN: (纸本)9798350335095

Cricket represents the most popular activity in India, and it is played there in all of its regions in various formats. Indian regional teams, international competitions all field players in the Indian Premier League (IPL), a national cricket championship. Cricket involves lots of data, analysis, prediction and statistics. Several parameters can be used to predict the outcome of a cricket match. This paper's main topics are the process model, Microsoft Power BI operations like numerous related graphical insights, dashboards, visualizations. To make accurate visualizations, predictions about things like the actual and predicted team's score and the likelihood that the team will win, overall match analysis by currently available data, Using machine learning models and Power BI tools. The research started by using Python libraries used in Power BI. The IPL match data played between 2008 and 2022, then moved on to per-processing, data analysis, and visualization, and finally developed a dashboard and reports that forecasts the teams' overall score and likelihood of winning. It is concerned with the interactive visualization of IPL databases utilizing the various modules of the Microsoft Power BI Tool and the Random Forest algorithm outperforms other algorithms in terms of accuracy, scoring 93.27 %. © 2023 IEEE.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

Onboard compression and preprocessing methods for LEO satellite imagery: A review 5th

Onboard compression and preprocessing methods for LEO satell...

引用

5th international conference on Advances in AI for Biomedical Instrumentation, Electronics and computing, ICABEC 2023

作者： Sharma, Abhishek Singh, Nidhi Srivastava, Yashvardhan Sharma, Shubhi Singh, Krishna Pratap Jaiswal, Harsh Kumar, Praveen Kumar, Parvin Centre of Excellence Space Technologies Department of Electronics and Communication Engineering KIET Group of Institutions Delhi-NCR Ghaziabad India

ISBN: (纸本)9781032642987

Low Earth Orbit (LEO) satellites play a significant role for scientific research, telecommunications, and Earth observations by remote sensing, which require capturing of high-resolution images of earth’s surface. Due to the constant acquisition of significant amounts of these high-quality images by the satellites, effective pre-processing and compression approaches for image size reduction are required for efficient utilization of transmission bandwidth. In the manuscript, state-of-the-art pre-processing and compression techniques are reviewed for LEO satellites using On-Board Computers (OBCs) which serve as the foundation of data handling and the caliber for scientific insights gained from orbiting satellites. © 2024 The Author(s).

关键词： data handling

来源：评论

学校读者我要写书评

暂无评论

Design and Performance Comparison of Latency Efficient Scheduling algorithms for Smart Environment 4

Design and Performance Comparison of Latency Efficient Sched...

引用

4th international conference on Communication, computing and Industry 6.0, C216 2023

作者： Boomiga, S.S. Venkatesan, V. Prasanna Department of Artificial Intelligence and Data Science Sri Manakula Vinayagar Engineering College Puducherry India Department of Banking Technology Pondicherry University Puducherry India

ISBN: (纸本)9798350327328

Smart Environment aims to improve humans' quality of life. IoT is an emerging paradigm that makes the environment smart by using sensing technologies in IoT devices and cloud computing technology. Various surveys portray that IoT devices are growing rapidly which results in more data which leads to more delay in response time for the services provided in the smart environment since the Cloud server imposes more transmission latency. This transmission latency is reduced by the emergence of Edge computing in which the services can be provided by using Edge as a computing device. However, the Edge is a resource-constrained device, so the proposed work aims to identify the process that can be processed at the Edge based on context and priority based scheduling. Therefore, an algorithm is designed to execute the process that needs immediate attention by applying context and priority-based scheduling. In a comparative analysis of algorithms, the experimental results showcase that the proposed algorithms notably reduce latency in IoT processes. © 2023 IEEE.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

Research on data Security Technology Based on Homomorphic Encryption in Cloud computing Environment 3

Research on Data Security Technology Based on Homomorphic En...

引用

3rd international Signal processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Chu, Liang Guangzhou Huashang Vocational College Guangdong Guangzhou511300 China

ISBN: (纸本)9798350307023

With the development of cloud computing, data security issues have become increasingly prominent. As an encryption method that can perform calculations in the ciphertext domain, homomorphic encryption technology provides an effective solution for data security in a cloud computing environment. data security technology based on homomorphic encryption is the main subject of this paper. First, the classification and characteristics of homomorphic encryption technology are introduced, as well as security analysis methods, and then a data security system based on fully homomorphic encryption is designed, including data acquisition and preprocessing modules. Then, the data analysis module adopts a model structure based on a neural network and provides the model training and parameter optimization process. Finally, experiments were conducted based on real data sets to verify the feasibility and effectiveness of the system, and the system was evaluated from the aspects of accuracy, time overhead, and storage overhead. This paper concludes that homomorphic encryption technology can guarantee data privacy and integrity in a cloud computing environment while also improving computing efficiency and scalability. © 2023 IEEE.

关键词： data acquisition

来源：评论

学校读者我要写书评

暂无评论

Blockchain Technology Provides Machine Learning, Cloud computing and Secure data Transmission 3

Blockchain Technology Provides Machine Learning, Cloud Compu...

引用

3rd international conference on Emerging Techniques in Computational Intelligence, ICETCI 2023

作者： Krishnan, S. Dinesh Prathyusha, G. Priya, V. Sathya B v Raju Institute of Technology Department of CSE Telangana Narsapur India

ISBN: (纸本)9798350300604

Blockchain technology is revolutionizing industries all over the world. Due to recent developments in machine learning, new technologies like cloud computing and safe data exchange have evolved. The collecting and processing of training data on centralized systems is required for conventional machine learning methods. New decentralized machine learning algorithms and cloud computing have made ML on-device information learning possible. IoT devices may use cloud computing services to outsource training duties, enabling AI at the network edge. Nevertheless, these scattered edges intelligence systems introduce new problems, such as concerns over user privacy and information security. Blockchain has been suggested as a workable solution to these problems. Due to its decentralized, accessible, and secure structure, blockchain has developed into a breakthrough invention for the future of numerous sectors' purposes. Additionally, this system has reliable automated scripting execution and immutable information recorders. Recently, as quantum technologies have become more practical, blockchain has begun to face potential threats from quantum computing. In this work, we summaries the literature in the research domains of blockchain-based cloud computing, machine learning, and safe data sharing in order to offer a synopsis of the present state-of-The-Art in these cutting-edge developments. We also provide a basic introduction to post-quantum blockchain. © 2023 IEEE.

关键词： Blockchain

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 << < 28 29 30 31 32 33 34 35 36 37 > >>

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：