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

16,123 篇 会议
117 篇 期刊文献
38 册 图书

馆藏范围

16,278 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

9,967 篇 工学
- 8,110 篇 计算机科学与技术...
- 5,603 篇 软件工程
- 2,180 篇 信息与通信工程
- 1,608 篇 控制科学与工程
- 1,420 篇 电气工程
- 906 篇 生物工程
- 773 篇 生物医学工程（可授...
- 663 篇 机械工程
- 560 篇 仪器科学与技术
- 555 篇 电子科学与技术（可...
- 488 篇 安全科学与工程
- 450 篇 网络空间安全
- 411 篇 交通运输工程
- 372 篇 光学工程
- 361 篇 动力工程及工程热...
3,321 篇 理学
- 1,645 篇 数学
- 993 篇 生物学
- 601 篇 物理学
- 585 篇 统计学（可授理学、...
- 453 篇 系统科学
- 389 篇 化学
3,017 篇 管理学
- 2,120 篇 管理科学与工程(可...
- 1,351 篇 图书情报与档案管...
- 813 篇 工商管理
875 篇 医学
- 707 篇 基础医学(可授医学...
- 678 篇 临床医学
- 389 篇 公共卫生与预防医...
- 340 篇 药学(可授医学、理...
438 篇 法学
- 375 篇 社会学
323 篇 教育学
322 篇 经济学
- 321 篇 应用经济学
216 篇 农学
115 篇 文学
34 篇 军事学
30 篇 艺术学
6 篇 哲学
5 篇 历史学

主题

889 篇 cloud computing
740 篇 informatics
543 篇 computational mo...
373 篇 computer archite...
316 篇 conferences
243 篇 internet of thin...
239 篇 big data
228 篇 deep learning
222 篇 monitoring
217 篇 data mining
198 篇 educational inst...
185 篇 computer science
163 篇 semantics
162 篇 servers
156 篇 machine learning
156 篇 training
155 篇 task analysis
155 篇 ontologies
152 篇 application soft...
151 篇 feature extracti...

机构

127 篇 national institu...
64 篇 institut teknolo...
58 篇 graduate school ...
50 篇 school of inform...
47 篇 school of comput...
43 篇 telkom universit...
38 篇 school of electr...
32 篇 faculty of compu...
31 篇 college of infor...
30 篇 college of compu...
28 篇 school of inform...
27 篇 university of ch...
26 篇 informatics inst...
25 篇 luddy school of ...
25 篇 institut teknolo...
23 篇 department of so...
21 篇 school of inform...
19 篇 ieee
18 篇 department of in...
18 篇 department of la...

作者

34 篇 xhafa fatos
29 篇 masahide nakamur...
21 篇 sharif mhd saeed
21 篇 zivkovic miodrag
19 篇 christopher c. y...
19 篇 omer rana
18 篇 hluchy ladislav
18 篇 geyong min
17 篇 sachio saiki
17 篇 beth plale
16 篇 geoffrey fox
16 篇 nugraha yudhisti...
16 篇 bacanin nebojsa
16 篇 xiaohua hu
15 篇 jean araujo
15 篇 xiong gang
14 篇 ishida toru
14 篇 hanzi wang
14 篇 yusheng ji
14 篇 moung ervin gubi...

语言

13,653 篇 英文
2,582 篇 其他
44 篇 中文
1 篇 西班牙文

检索条件"任意字段=IEEE International Conference on Progress in Informatics and Computing"

共 16278 条记录，以下是111-120 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：

Simplified Artificial Neural Network Configuration in R Programming for Predictive Modelling 8

Simplified Artificial Neural Network Configuration in R Prog...

引用

8th ieee international conference on Recent Advances and Innovations in Engineering, ICRAIE 2023

作者： Razak, Tajul Rosli Jarimi, Hasila Ahmad, Emy Zairah Universiti Teknologi MARA School of Computing Sciences College of Computing Informatics and Mathematics Selangor Malaysia University Kebangsaan Malaysia Solar Energy Research Institute Selangor Bangi Malaysia Universiti Teknikal Malaysia Melaka Fakulti Teknologi Dan Kejuruteraan Elektrik Durian Tunggal Malaysia

ISBN: (纸本)9798350315516

The configuration of Artificial Neural Networks (ANNs) in the context of predictive modelling can provide considerable difficulty owing to the complex nature of their arrangements and the need for meticulous hyperparameter adjustment the present study addresses the issue by proposing a more straightforward methodology for configuring Artificial Neural Networks (ANNs) through the R programming language the methodology presented in this study offers a systematic and comprehensive framework, ensuring accessibility and simplicity of implementation. This approach aims to enhance the usability of Artificial Neural Networks (ANNs) for practitioners who need advanced machine learning knowledge. In order to demonstrate the applicability of the proposed methodology, a series of experiments were conducted on a case study in sustainable energy research. This study makes a valuable contribution to academic discipline by establishing a connection between artificial neural network (ANN) theory and its practical application. This study aims to enhance the accessibility of artificial neural network (ANN) setup and provide significant insights to further progress predictive modelling, specifically focusing on sustainable energy research. © 2023 ieee.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Recent 2D Human Pose Estimation Methods 6

A Comparative Study of Recent 2D Human Pose Estimation Metho...

引用

6th international conference on computing and informatics, ICCI 2024

作者： Elshami, Nada E. Salah, Ahmad Mohsen, Heba Department of Computer Science Faculty of Computers and Information Technology Future University in Egypt New Cairo Egypt College of Computing and Information Sciences University of Technology and Applied Sciences Ibri Oman College of Computers and Informatics Zagazig University Zagazig Egypt

ISBN: (纸本)9798350373875

Human Pose Estimation is a computer vision technique utilized in various fields such as healthcare, security, and sports to detect the pose of single or multi-person utilizing various machine learning and deep learning methodologies. These methodologies can be applied in a variety of ways, including top-down and bottom-up approaches. Furthermore, this technique can be used with images or videos, as well as in 2D or 3D domains. This paper delves into recent advancements in deep learning methods used for estimating the pose, covering commonly employed datasets, evaluation metrics, and the challenges encountered in this field. It aims to assist new researchers in getting familiar with this technique based on work published between 2019 and 2023, with a spotlight on 2D and omitting 3D. © 2024 ieee.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Mitigating Execution Divergence in GPGPU computing through Dynamic Data Remapping 17

Mitigating Execution Divergence in GPGPU Computing through D...

引用

17th ieee international Scientific conference on informatics, informatics 2024

作者： Plebanski, Piotr Kelm, Anna Klopotek, Robert A. Cardinal Stefan Wyszyński University Institute of Computer Science Warsaw Poland

ISBN: (纸本)9798350387674

This study investigates the reduction of execution divergence on graphics processing units (GPUs) through modification of input data arrangement. Execution divergence, which occurs when threads within a GPU warp take different execution paths, can significantly degrade performance. We examine the possibility of mitigating this performance loss by altering the processing order of input data on the GPU. A simple case study of changing letter case in text strings is used to demonstrate the effects of divergence and evaluate optimization techniques. Experiments are conducted using the Vulkan API to implement compute shaders with varying levels of forced divergence. Results show that rearranging input data or modifying execution order can substantially improve performance in divergent scenarios, in some cases approaching the speed of non-divergent code. Additionally, we observe that even for non-divergent algorithms, data remapping techniques can provide modest performance gains. The findings suggest that input data arrangement and execution ordering are important considerations for optimizing GPU compute performance, particularly for algorithms prone to divergence. © 2024 ieee.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Analysis of the Applicability of Cloud computing Scaling Techniques for Real-Time Workloads of Industrial Control Systems 22

Analysis of the Applicability of Cloud Computing Scaling Tec...

引用

22nd ieee international conference on Industrial informatics, INDIN 2024

作者： Neumann, Rebekka Frick, Florian Lechler, Armin Verl, Alexander University of Stuttgart Stuttgart Germany

ISBN: (纸本)9798331527471

A key feature of cloud computing is elasticity, which enables resources to be allocated and de-allocated according to dynamic application demands. The evolution of Industrial Control Systems (ICS) is moving towards a distributed converged infrastructure that incorporates computing and communication resources as well as software, replacing dedicated hardware running control applications. While modern ICS and cloud environments share similarities, the corresponding applications differ significantly in their execution models and timing requirements. To enhance the flexibility of ICS, control applications must adapt to changing requirements throughout operation, resulting in varying workloads. The potential for dynamic scaling in ICS is considerable, but is not yet being fully exploited. The objective of this paper is to examine the extent to which state-of-the-art cloud autoscaling concepts are applicable to the scaling of real-time workloads and to propose enhancements to these concepts in order to enable the implementation of dynamic autoscaling of real-time workloads. In conclusion, the fundamental concept of cloud autoscaling can be applied, but must be extended, in particular to ensure deterministic resource provisioning and to improve task isolation in order to guarantee predictable task timing behaviour. © 2024 ieee.

关键词： Cloud platforms

来源：评论

学校读者我要写书评

暂无评论

IoT-Enabled Smart Agriculture System Using Cognitive computing 3

IoT-Enabled Smart Agriculture System Using Cognitive Computi...

引用

international conference on Advances in computing, Communication and Applied informatics (ACCAI)

作者： Rajababu, Durgam Boddepalli, Eswararao Survase, Rajesh Bhaskar Pal, Arunabha Dandagala, Sreenivasulu Chakravarthi, M. Kalyan SR Univ Dept EEE Sch Engn Warangal Telangana India Virginia Tech Bradley Dept ECE Blacksburg VA USA Savitribai Phule Pune Univ ES Divekar Coll Varvand Dept Geog Pune Maharashtra India Centurion Univ Technol & Management MS Swaminathan Sch Agr Dept Soil Sci Parlakhemundi 761211 Odisha India Annamacharya Univ Annamacharya Inst Technol & Sci Dept Civil Engn Rajampet 516126 Andhra Pradesh India VIT AP Univ Sch Elect Engn Amaravathi 522237 Andhra Pradesh India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

Together, the Internet of Things (IoT) and cognitive computing have revolutionized the agricultural industry by enabling the implementation of intelligent husbandry systems. Investigating the creation and use of an Internet of Things-enabled smart husbandry system that leverages cognitive computing techniques is the aim of this study. The system includes detectors to gather data on environmental factors like crop health, soil temperature, and humidity in real-time. After that, a centralized platform receives these data. This data is processed by algorithms used in cognitive computing to give growers useful insights like optimal irrigation timing and early detection of crop issues. The application of this method raises agricultural operations' productivity and enhances decision-making processes' effectiveness. This study covers the following topics: the system's armature;the choice and incorporation of Internet of Things bias;the use of cognitive computing models;and the assessment of system performance in actual agricultural scripts. The results show how cognitive computing and the Internet of Things (IoT) may revolutionize traditional husbandry methods into data-driven, intelligent husbandry systems.

关键词： IoT smart agriculture cognitive computing sensor networks data analytics precision farming

来源：评论

学校读者我要写书评

暂无评论

Immersive Learning Constructs for Deaf and Hard-of-Hearing Students in TVET Practical Skill

Immersive Learning Constructs for Deaf and Hard-of-Hearing S...

引用

2024 international Visualization, informatics and Technology conference, IVIT 2024

作者： Abdul Rahim, Rini Hafzah Mohd Nizam, Dinna Nina Mohd Naim, Nur Faraha Baharum, Aslina Universiti Malaysia Sabah User Experience Group Faculty of Computing and Informatics Sabah Kota Kinabalu Malaysia Sunway University Computing and Information System School of Engineering and Technology Selangor Malaysia

ISBN: (纸本)9798350354447

The advent of advanced educational technologies, and immersive learning utilizing virtual reality (VR), augmented reality (AR), and mixed reality (MR) have emerged as a powerful tool to enhance learning experiences. However, traditional approaches often lack the ability to address the unique needs of Deaf and Hard of Hearing (DHH) students, particularly in practical skill development. The usage of immersive learning for the purpose of DHH students is still limited, especially in Malaysia. This study explores critical elements of immersive learning environments designed to facilitate practical skill acquisition for DHH students. Using the systematic literature review (SLR) determines immersive practical skill learning elements from selected 34 papers to help DHH students learn more effectively. 30 constructs are highlighted in the SLR results as recommendations for creating immersive learning for DHH practical skills. It is thus intended that the highlighted features would contribute to both the process of teaching and learning as well as the enhancement of student performance. © 2024 ieee.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Analysis of the role of computer big data and cloud computing in information security

Analysis of the role of computer big data and cloud computin...

引用

2023 international conference on Networking, informatics and computing, ICNETIC 2023

作者： Wei, Qian Tianjin University of Technology Tianjin China

ISBN: (纸本)9798350313314

With the rapid development of social economy, science and technology, e-commerce and network, computer extends more and more content, in the era of big data, cloud computing has become an emerging field, multi-tenant, distributed computing, distributed storage and virtualization concepts onto the stage. This paper mainly discusses the factors affecting information security in the era of big data, and analyzes the role of big data and cloud computing in information security. © 2023 ieee.

关键词： Economic and social effects

来源：评论

学校读者我要写书评

暂无评论

Exploring Non-Functional Requirements in Requirements Engineering: A Systematic Review

Exploring Non-Functional Requirements in Requirements Engine...

引用

2024 ieee international conference on computing, ICOCO 2024

作者： Ramasamy, Rosaan Lim, Tek Yong Antdragon Sdn Bhd Negeri Sembilan Malaysia Faculty of Computing and Informatics Multimedia University Cyberjaya Malaysia

ISBN: (纸本)9798331530303

Non-functional requirements (NFRs) are often poorly documented and inadequately integrated into the software development process resulting in discrepancies between expected and actual system quality. This gap leads to a number of issues like requirement ambiguity, ineffective stakeholder communication and inadequate validation which severely impact project outcomes. This systematic review addresses these challenges by investigating the state of NFRs management in requirements engineering. The review identifies predominant techniques such as automated tools and document analysis for eliciting NFRs while also highlighting current challenges and effective validation practices, including inspections, reviews and user feedback. Future research should develop comprehensive frameworks combining technology with human-centered approaches to address these challenges. ©2024 ieee.

关键词： I. INTRODUCTION non-functional requirement requirements engineering systematic review

来源：评论

学校读者我要写书评

暂无评论

Human Resource Management of Small and Medium Enterprises Based on Cloud computing 1

Human Resource Management of Small and Medium Enterprises Ba...

引用

1st ieee international conference on Ambient Intelligence, Knowledge informatics and Industrial Electronics, AIKIIE 2023

作者： Wu, Wei Sichuan University Jinjiang College Sichuan Province Meishan City620860 China

ISBN: (纸本)9798350316469

The main contribution of this article is to design a human resource management system for small and medium-sized enterprises, which introduces salary design and performance evaluation to accurately evaluate the employees of the enterprise. Therefore, on the basis of cloud computing, this article provides convenience for human resource management of small and medium-sized enterprises, realizes innovation in human resource management models, and improves the utilization rate, efficiency, and cost savings of commodity resources. Using statistical analysis methods to study the effectiveness of cloud computing in human resource management of small and medium-sized enterprises. Based on the same evaluation criteria, cloud computing has improved efficiency and satisfaction in talent cultivation, performance management, salary management, human resource consulting services, shared services, and other aspects. Through experimental simulation, it can also be seen that when cloud computing is used, the efficiency of human resources has reached 94%, which is 4 percentage points higher than traditional human resource management. © 2023 ieee.

关键词： cloud computing Human resource management for small and medium-sized enterprises human resources small and medium-sized enterprises

来源：评论

学校读者我要写书评

暂无评论

Cognitive computing in Intelligent Traffic Management Systems 3

Cognitive Computing in Intelligent Traffic Management System...

引用

international conference on Advances in computing, Communication and Applied informatics (ACCAI)

作者： Sudhakar, A. V. V. Tyagi, Anuj Patil, Pallavi Sachin Kumar, K. Suresh Sathe, Manoj Geetha, B. T. SR Univ Sch Engn Dept EEE Warangal Telangana India Northeastern Univ Boston MA 02115 USA Savitribai Phule Pune Univ Genba Sopanrao Moze Coll Engn Dept Artificial Intelligence & Machine Learning Pune 45 Maharashtra India Panimalar Engn Coll Chennai 600123 Tamil Nadu India PES Modern Inst Business StudiesPune Comp Sci Pune Maharashtra India Saveetha Univ SIMATS Saveetha Sch Engn Dept ECE Chennai Tamil Nadu India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

Intelligent business operation systems are undergoing a revolution as a result of cognitive computing, which is boosting their capacity to analyze large amounts of data and produce well-informed conclusions in real-time. The purpose of this investigation is to investigate the possibility of incorporating cognitive computing technologies, such as machine literacy, natural language processing, and big data analytics, into business operation systems to address the issue of civic traffic, improve the flow of business, and enhance safety. The development of adaptive business control mechanisms that can respond robustly to changing business situations is made possible by cognitive computing. This is accomplished through the use of sophisticated algorithms and predictive analytics. The purpose of this article is to investigate case studies and real-world implementations, to highlight the major improvements in company efficiency and decrease in travel times that may be realized using cognitive computing. The findings provide evidence that cognitive computing has the potential to transform conventional business operation systems into intelligent, responsive networks that are capable of tone-optimization. This would result in the creation of civic environments that are more intelligent and more environmentally sustainable.

关键词： Cognitive computing intelligent traffic management urban congestion adaptive traffic control predictive analytics

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 << < 8 9 10 11 12 13 14 15 16 17 > >>

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：