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

1,091 篇 会议
15 篇 期刊文献
14 册 图书

馆藏范围

1,120 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

819 篇 工学
- 731 篇 计算机科学与技术...
- 613 篇 软件工程
- 197 篇 信息与通信工程
- 163 篇 生物工程
- 95 篇 生物医学工程（可授...
- 86 篇 控制科学与工程
- 63 篇 电气工程
- 62 篇 安全科学与工程
- 58 篇 动力工程及工程热...
- 51 篇 光学工程
- 46 篇 机械工程
- 40 篇 交通运输工程
- 38 篇 化学工程与技术
- 31 篇 仪器科学与技术
- 31 篇 电子科学与技术（可...
409 篇 理学
- 196 篇 数学
- 177 篇 生物学
- 83 篇 统计学（可授理学、...
- 71 篇 物理学
- 58 篇 系统科学
- 43 篇 化学
253 篇 管理学
- 151 篇 图书情报与档案管...
- 128 篇 管理科学与工程(可...
- 81 篇 工商管理
99 篇 医学
- 93 篇 临床医学
- 91 篇 基础医学(可授医学...
- 62 篇 药学(可授医学、理...
- 43 篇 公共卫生与预防医...
70 篇 法学
- 50 篇 社会学
33 篇 经济学
- 33 篇 应用经济学
30 篇 农学
23 篇 教育学
5 篇 军事学

主题

53 篇 computational mo...
45 篇 big data
44 篇 machine learning
38 篇 deep learning
38 篇 cloud computing
35 篇 predictive model...
31 篇 feature extracti...
28 篇 machine learning...
26 篇 internet of thin...
25 篇 neural networks
24 篇 data mining
23 篇 blockchain
23 篇 data models
22 篇 support vector m...
21 篇 forecasting
21 篇 training
20 篇 covid-19
20 篇 sentiment analys...
17 篇 technological in...
15 篇 object detection

机构

13 篇 teerthanker maha...
11 篇 jain university ...
9 篇 school of comput...
6 篇 galgotias univer...
4 篇 galgotias univer...
4 篇 department of in...
4 篇 kite group of in...
4 篇 department of co...
4 篇 chandigarh unive...
4 篇 department of ne...
4 篇 school of cyber ...
4 篇 department of co...
4 篇 department of co...
4 篇 college of compu...
3 篇 college of compu...
3 篇 university of en...
3 篇 department of co...
3 篇 china academy of...
3 篇 christ universit...
3 篇 institute of art...

作者

6 篇 jacob lija
6 篇 n. suresh kumar
6 篇 joshi kapil
6 篇 lija jacob
5 篇 vishal bharti
5 篇 aruna bhat
5 篇 bhat aruna
5 篇 naohiro ishii
4 篇 li yang
4 篇 annamalai suresh
4 篇 sharma vishnu
4 篇 ippei torii
4 篇 s. vijayalakshmi
4 篇 vishnu sharma
4 篇 wang tao
4 篇 bharti vishal
4 篇 malik aruna
4 篇 gupta gaurav
4 篇 vijayalakshmi s.
4 篇 li wei

语言

1,111 篇 英文
9 篇 其他
1 篇 中文

检索条件"任意字段=4th International Conference on Computing and Data Science, CONF-CDS 2022"

共 1120 条记录，以下是211-220 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：

Vehicular Cloud data Collection for Intelligent Transportation Systems 4

Vehicular Cloud Data Collection for Intelligent Transportati...

引用

4th international conference on Emerging Research in Electronics, Computer science and Technology, ICERECT 2022

作者： thiru, S. Hashmi, Hina Hemavathi, S. Vekariya, Daxa Pandey, Arvind Kumar Abdel-Rehim, Wael M. F. University of Jeddah Department of MME Jeddah Saudi Arabia Teerthanker Mahaveer University Department of Computing Sciences & IT Moradabad India K. Ramakrishnan College of Technology Civil Engineering Trichy India PIET Department of CSE Vadodara India Arka Jain University Department of School of Engg.&IT Jamshedpur India King Salman International University Computer Science and Engineering Sinai Egypt

ISBN: (纸本)9781665456357

Millions many sensors will be connected to the Internet via the Networks of things (IoT), enabling new mobile cloud technologies and products. With the introduction of IoT, future Internet of Vehicle (IoV) will replace the present Auto Informal Services (Van - to - Driver), where customers may place orders for various services by integrating their cars, sensors, and tablets to a huge network. Vehicular Cloud computing (VCC) is merely being imagined with the goal of supplying traffic services that enhance our daily traveling in order to provide Routes with broadband service. these plans include resources and support the expansion of the Internet of things (IoT), which is a crucial component of IoV. the utilization of Vehicular Cloud (VC), however, is necessary for ITS (Intelligent Transportation System) to properly support a top travel service (VC). In order to acquire data for the benefit of ITS, we integrate the novel VCC technique in this study. We show via modeling results that a flexible VC may provide useful data collection with just a small percentage of autos involved. © 2022 IEEE.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Reliable data Storage and Sharing using Block chain Technology and Two Fish Encryption 4

Reliable Data Storage and Sharing using Block chain Technolo...

引用

4th international conference on Inventive Research in computing Applications, ICIRCA 2022

作者： Sivanantham, S. Sakthivel, M. Krishnamoorthy, V. Balakrishna, N. Akshaya, V. Sree Vidyanikethan Engineering College Dept. of Computer Science and Systems Engineering Andhra Pradesh Tirupati India Sree Vidyanikethan Engineering College Dept. of Computer Science and Engineering Andhra Pradesh Tirupati India Bannari Amman Institute of Technology Dept. of Computer Science and Engineering Tamilnadu Sathyamangalam India

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

Digital data that has been certified by a respected institution is valuable and can be saved or transmitted over the internet. However, the issues are ensuring the security and reliability of stored and shared data, as well as ensuring a secure, transparent, and fair data sharing process. As a result, the schemas for data production, storage, and sharing is suggested. A group signature scheme in the data production schema for a collection of respected organisations that provide similar services is used. A member of the group develops precious digital data from RD (raw data) provided by a DO (data owner) and then provides a certification based on the encipher of that data. the system saves the data's access address in the database after data owner uploading his or her data to the system in the data storage schema. Before submitting a data sharing proposal to the DO, every person on the system might validate the quality of shared data. the data sharing mechanism is carried out via a smart contract to incentivize honesty. the schemas assure the security properties of data storage and exchange, which include confidentiality, integrity, privacy, and non-repudiation. © 2022 IEEE.

关键词： Fish

来源：评论

学校读者我要写书评

暂无评论

Classification of Galaxies using Transfer Learning 4

Classification of Galaxies using Transfer Learning

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Singh, Shivendra Pratap Singh, Vanshika Prajapati, Vishal Sharma, Vishnu Sinha, Jaya Astya, Rani Galgotias College of Engg. & Tech. Dept. of Computer Science & Engg. Greater Noida India Galgotias College of Engg. & Tech. Dept. of Computer Science Greater Noida India Sharda University Department of Computer Science Greater Noida India

ISBN: (纸本)9781665474368

Deep Learning is changing our world in a way that we never imagined before. In order to solve and reduce the misclassification of galaxy due to lack of abundance of data we focus to classify Galaxies accurately. We studied different deep learning models for classification of galaxy using transfer learning approach. We tried to improve traditional classification algorithms like Convolutional Neural Network and K-Nearest Neighbor for morphology of galaxies with transfer learning approach. A lot of Machine Learning, deep learning traditional models were explored by us to find optimal algorithm which can yield better result for classification scenarios in terms of accuracy and speed. © 2022 IEEE.

关键词： Galaxies

来源：评论

学校读者我要写书评

暂无评论

Sensor Overlay for Remote Patients Monitoring 4

Sensor Overlay for Remote Patients Monitoring

引用

4th international conference on Smart Systems and Inventive Technology, ICSSIT 2022

作者： Ullas, S. Maheswari, B. Uma Department of Computer Science and Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India Department of Computer Science and Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9781665401180

People around the world are facing lack of treatment, doctors' availability, and health monitoring technologies. In this modern era, many systems are evolving that provide health care services with some limitations, such as being very expensive, a lack of security for patient data, and having a high communicational and computing overhead. the major goal of this work is to propose an effective overlay for sensor networks for faster routing of patients' vital parameters to the medical staff concerned. this proposed system uses heartbeat sensor for monitoring the heart rate, temperature sensor (LM35) for monitoring the body temperature of the patient, a GSM (Global System for Mobile) technology is used to alert the doctors or care takers in case of any emergency situation. Zigbee wireless technology is used for transferring the data that comes from the sensors and APR9600 loud speaker is used to alert the doctors through voice commands. In addition, overlay network for sensors to enable fast and reliable communication is proposed. In normal routing, the best path is found using traditional protocols, which may not be effective for a sensor network as energy of the device is not a parameter for route costing. this work proposes constructing Sensor Overlay for Remote Patients Monitoring (SORPM) for efficient routing of data between end users say doctors and patients. Scalability is another added advantage of this approach. © 2022 IEEE

关键词： Zigbee

来源：评论

学校读者我要写书评

暂无评论

A comparative review analysis for load balancing techniques in Cloud computing using Machine Learning 4

A comparative review analysis for load balancing techniques ...

引用

international conference on 4th Industrial Revolution Based Technology and Practices, ICFIRTP 2022

作者： Rai, Dhajvir Singh Dumka, Ankur Srivastava, Satyajee Uttarakhand Technical University Department of Computer Science and Engineering Dehradun India Women Institute of Technology Department of Computer Science and Engineering Dehradun India University of Engineering and Technology Roorkee Department of Computer Science and Engineering Roorkee India

ISBN: (纸本)9798350345919

Load balancing (LB) is a task to manage the performance and efficiency of multi-Attribute, multi-variant cloud computing (CC) resources. CC system is more effective when its whole resources are employed in best probable manner and maintaining its load in proper accessing of its resources. Load includes the CPU load, network load, data traffic load, client requests load etc. So, load balancing process includes the management of all these loads as per the availability of resources. this paper deals with the multiple load balancing techniques and present them in hierarchical form and analysis them in performance and efficiency dynamics. this paper also discusses the comparative analysis of performance of existing techniques related to LB in CC using Machine learning (ML). A brief about hybrid methods will also be discussed through this paper. In conclusion part on the basis of analysis done through this study paper also suggests some new insights for LB in CC. © 2022 IEEE.

关键词： Cloud computing Hybrid model Load balancing Machine learning Virtual machine

来源：评论

学校读者我要写书评

暂无评论

A Time-Serial data Acquisition Management Scheme for Nuclear Industrial Internet 4

A Time-Serial Data Acquisition Management Scheme for Nuclear...

引用

4th international conference on Advances in Computer Technology, Information science and Communications, CTISC 2022

作者： Xu, Kui Lan, Yang Yangg, Qiang Jing, Yinggang Liu, Linyu He, Shuan China Nuclear Power Operation Technology Corporation Ltd Dept. of Simulation Center Wuhan China Jiangsu Nuclear Power Corporation Ltd Dept. of Information and Documention Jiangsu China

ISBN: (数字)9781665458726

ISBN: (纸本)9781665458726

Nuclear power industrial interne a platform that can be used for nuclear data analysis. Massive time-series data generated by a nuclear power plant is a kind of essential data which indicated the runtime status of plant. Time-series data is used for supervision and analysis in nuclear power plant information systems. However, there is currently not a software that can unified manage data acquisition gateways. In a certain nuclear power plant, an information system focuses on its own business only, time-series data is collected respectively, which causes repeated collection and high communication throughput of data source. In this paper, a time-series data collection management software is introduced, function and design is presented. At last, the result of numerical analysis shows that throughput of data source can be reduced as the quantity of information system and measure points grows. © 2022 IEEE.

关键词： Nuclear power plants

来源：评论

学校读者我要写书评

暂无评论

Routing Scalability in Named data Networking 4

Routing Scalability in Named Data Networking

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Deepa, S. Nivetha, S. thulasi Lakshmi, K. Selvan, Emil G S R Ramkumar, M.P. Thiagarajar College of Engineering Department of Computer Science and Engineering Madurai India

ISBN: (纸本)9781665474368

Named data network consists of three data structures for forwarding the incoming Interest packets. Whenever the interest packet arrives, it has to search in the pending interest table and the content store. When a large amount of interest packet arrives, the time required to search the matching content in the pending Interest table can be increased. And also, as the size of Content Store is limited, it will be difficult to satisfy the incoming interest packets' needs. So the interest packets in the content store have to be replaced. In this paper, Optimal Content Store with tree based approach is proposed and is compared with Optimal Content Store without tree based approach. the comparison shows that packet drop rate and delay is comparatively reduced in Optimal Content store with tree based approach. © 2022 IEEE.

关键词： component formatting insert (key words) style styling

来源：评论

学校读者我要写书评

暂无评论

Grid Division-Based Service Migration Path Selection Method in Edge computing Environment 4

Grid Division-Based Service Migration Path Selection Method ...

引用

4th international conference on Communications, Information System and Computer Engineering, CISCE 2022

作者： Pu, Chengxi Yao, Shaowen Chen, Daigang Zhou, Yulong Zhang, Chao Engineering Research Center of Cyberspace Yunnan University Kunming China School of Software Yunnan University Kunming China

ISBN: (数字)9781665498487

ISBN: (纸本)9781665498487

Edge computing provides computing resources on the side close to the data source, which can reduce latency and bandwidth consumption. the growing distance between users and edge servers may lead to degradation of service quality or even service interruption. Attribute to the variation in network structures, different migration paths can generate different latency, and our work focuses on the selection of migration paths. In this paper, a grid-based path selection algorithm is proposed to perform heuristic path selection, which is based on the edge server load, transmission bandwidth, and physical location, and finally, obtain an optimal service migration path. through real-data simulation experiments, we found that the algorithm proposed in this paper performs better in terms of running time, transmission time, and service following compared with other methods. © 2022 IEEE.

关键词： Edge computing

来源：评论

学校读者我要写书评

暂无评论

Hybrid Machine Learning Model Using Particle Swarm Optimization for Effectual Diagnosis of Alzheimer's Disease from Handwriting 4

Hybrid Machine Learning Model Using Particle Swarm Optimizat...

引用

4th international conference on Circuits, Control, Communication and computing, I4C 2022

作者： Subha, R. Nayana, B.R. Selvadass, M. M S Ramaiah Institute of Technology Department of EEE Bangalore India M S Ramaiah University of Applied Sciences Department of Computer Science Bangalore India School of Professional Studies Garden City Univercity Bangalore India

ISBN: (纸本)9798350397475

Alzheimer's disease (AD) is a condition that weakens nerves, impairs cognitive and memory functions, and eventually results in amnesia. An improved approach for early diagnosis of AD is crucial to identify and control the decline as they advance. Machine Learning (ML) approaches have proved successful in intelligently identifying patterns in the data to categorize it into different classes. Hybrid ML models with Swarm Intelligence (SI) based feature selection will result in robust and efficient model for diagnosis and prediction. In this work, Particle Swarm Optimization has been used for feature selection to identify the best performing feature dimension resulting in a hybrid ML model with good performance. Six classifier models have been explored in the hybrid ML. © 2022 IEEE.

关键词： Swarm intelligence

来源：评论

学校读者我要写书评

暂无评论

A classification sampling algorithm over the dynamic streaming graph 4

A classification sampling algorithm over the dynamic streami...

引用

4th international conference on Advances in Computer Technology, Information science and Communications, CTISC 2022

作者： Peng, Zhang Zhijie, Ban Inner Mongolia University College of Computer Science Hohhot China

ISBN: (数字)9781665458726

ISBN: (纸本)9781665458726

Network graph sampling has experienced the development process from static graph sampling to dynamic graph sampling, which has great significance to data mining of network. However, there is a common weakness in the existing dynamic graph sampling algorithms, which is that the proportion of nodes with lower degree of subgraph is too large, while the proportion of nodes with higher degree is insufficient, resulting in the under-representation of the subgraph obtained by sampling. Based on the power law distribution of network graph data, a classification sampling algorithm, is proposed in this paper. the nodes in the network graph are divided into different categories, and different sampling probabilities are set for different categories in order to reduce the distribution error with the realistic graph degree. In order to measure the performance of the proposed model objectively, experiments are designed on three real networks. the results show that the degree distribution characteristics of our algorithm is closer to the realistic network compared with the existing three classical dynamic network sampling algorithms, of note, the KS distance is smaller, and the effect of different sampling ratio is more stable. © 2022 IEEE.

关键词： data mining

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112页 << < 18 19 20 21 22 23 24 25 26 27 > >>

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：