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

338 篇 会议
101 篇 期刊文献

馆藏范围

439 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

230 篇 工学
- 104 篇 控制科学与工程
- 102 篇 计算机科学与技术...
- 90 篇 软件工程
- 41 篇 电气工程
- 39 篇 机械工程
- 29 篇 电子科学与技术（可...
- 25 篇 信息与通信工程
- 19 篇 仪器科学与技术
- 17 篇 动力工程及工程热...
- 14 篇 力学（可授工学、理...
- 13 篇 化学工程与技术
- 11 篇 冶金工程
- 10 篇 土木工程
- 10 篇 生物医学工程（可授...
- 9 篇 交通运输工程
- 9 篇 环境科学与工程（可...
- 9 篇 生物工程
- 9 篇 安全科学与工程
- 7 篇 材料科学与工程（可...
- 7 篇 航空宇航科学与技...
126 篇 理学
- 65 篇 数学
- 40 篇 系统科学
- 35 篇 物理学
- 21 篇 统计学（可授理学、...
- 11 篇 生物学
- 10 篇 化学
40 篇 管理学
- 34 篇 管理科学与工程(可...
- 17 篇 工商管理
- 7 篇 图书情报与档案管...
11 篇 法学
- 7 篇 社会学
8 篇 医学
6 篇 教育学
5 篇 经济学
3 篇 文学
3 篇 农学
1 篇 军事学

主题

17 篇 control systems
15 篇 automation
13 篇 process control
13 篇 robustness
11 篇 controllers
10 篇 optimization
10 篇 transfer functio...
10 篇 decision making
10 篇 uncertainty
10 篇 artificial intel...
10 篇 mathematical mod...
10 篇 training
9 篇 real-time system...
9 篇 mathematical mod...
8 篇 computational mo...
8 篇 linear systems
7 篇 monitoring
7 篇 anesthesia
7 篇 predictive model...
7 篇 accuracy

机构

24 篇 department of au...
15 篇 department of au...
13 篇 technical univer...
10 篇 school of automa...
10 篇 power engineerin...
8 篇 magnitogorsk iro...
7 篇 automation depar...
7 篇 bauman moscow st...
6 篇 department of au...
6 篇 control and auto...
6 篇 department of au...
6 篇 department of au...
6 篇 department of in...
6 篇 moscow polytechn...
5 篇 dysc research gr...
5 篇 department of el...
5 篇 department of ro...
5 篇 faculty of contr...
5 篇 voronezh state t...
5 篇 department of el...

作者

24 篇 dana copot
23 篇 robin de keyser
22 篇 clara m. ionescu
15 篇 isabela birs
15 篇 cristina i. mure...
14 篇 rashidov aldeniz
13 篇 clara ionescu
13 篇 aldeniz rashidov
12 篇 cristina muresan
12 篇 erhan yumuk
10 篇 isabela r. birs
9 篇 yordanov stanimi...
9 篇 de keyser robin
8 篇 mihaela ghita
8 篇 fatme rashidova
8 篇 martine neckebro...
7 篇 eduard zharikov
7 篇 rashidova fatme
7 篇 oleksandr rolik
7 篇 muresan cristina...

语言

426 篇 英文
12 篇 其他
1 篇 中文

检索条件"机构=Department of Automation and Control in Technical Systems"

共 439 条记录，以下是1-10 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：

Expert algorithm to optimize the process of selecting a topic for a research project with the assistance of ChatGPT 6

Expert algorithm to optimize the process of selecting a topi...

引用

6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2024

作者： Rashidov, Aldeniz Department of Automation information and control systems Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (纸本)9798350394634

This paper presents the development of an expert algorithm aimed at optimizing the process of selecting a topic for a research project by integrating ChatGPT capabilities with research expertise. The algorithm aims to support researchers and scientists by providing a structured approach to select relevant and appropriate research topics based on current trends in the field, the interests and capabilities of the research team. The research reveals the potential of AI to significantly improve the efficiency and quality of scientific processes by rapidly analyzing huge data sets and providing personalized recommendations that are aligned with team goals. The work highlights the importance of continuously embedding innovation in academia to ensure meaningful advances and quality research in the future. © 2024 IEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

An Algorithm to Support the Review Process of a Scientific Research Project Proposal Using ChatGPT 8

An Algorithm to Support the Review Process of a Scientific R...

引用

8th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2024

作者： Rashidov, Aldeniz Department of Automation information and control systems Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (纸本)9798350354423

Reviewing scientific research project proposals (SRPPs) is essential for the development of scientific knowledge and innovation. Traditional peer review methods often face challenges such as significant drafting time, subjective evaluations, and a shortage of qualified reviewers, which reduce the quality of reviews. With the development of artificial intelligence, the potential for improving the peer review process is being discovered. This study proposes and evaluates an algorithm to assist the peer review process using ChatGPT. The algorithm aims to optimize the review process by automating the analysis, generating objective scores using weighting coefficients, SWOT analysis and providing feedback on various aspects of project proposals. The study analyses the effectiveness of the algorithm through a SWOT analysis that highlights its strengths, weaknesses, opportunities and threats. The algorithm may be useful for reviewers, researchers and academic institutions seeking to enhance the effectiveness and objectivity of SRPP evaluation. © 2024 IEEE.

关键词： Algorithm Artificial Intelligence ChatGPT Evaluation Project Review SWOT Analysis

来源：评论

学校读者我要写书评

暂无评论

Algorithm for generating an abstract of a scientific publication with the assistance of ChatGPT 15

Algorithm for generating an abstract of a scientific publica...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Rashidov, Aldeniz Technical University of Gabrovo Department of Automation information and control systems Gabrovo Bulgaria

ISBN: (纸本)9798350370249

This work presents the development of an algorithm for automated abstract generation of scientific publications that integrates the capabilities of ChatGPT with expertise in the field of academic writing. The development of such an algorithm is essential for optimizing abstract creation processes, especially for complex topics or high quality requirements. The algorithm allows customization of abstracts according to authors' specific needs. It includes functionalities for evaluation of the generated response, SWOT analysis of abstract structure and content, translation of the text into different languages, and grammar and spell checking, thus providing a means to produce quality abstracts in accordance with academic standards. The study highlights the role of artificial intelligence as an indispensable tool in scientific research, emphasizing the importance of continuously applying technological innovation to ensure meaningful scientific advances. © 2024 IEEE.

关键词： Abstract creation Academic research Academic writing Expert algorithm Research optimization

来源：评论

学校读者我要写书评

暂无评论

A mathematical model for optimal scheduling of classes in a higher education institution 15

A mathematical model for optimal scheduling of classes in a ...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Rashidova, Fatme Rashidov, Aldeniz Technical University of Gabrovo Department of Automation Information and Control Systems Gabrovo Bulgaria

ISBN: (纸本)9798350370249

Timetabling is essential for the organization and functioning of higher education institutions (HEIs). This complex task requires balancing various factors such as availability of teachers, availability of halls, huge number of students in each specialty and course, preferences and satisfaction of students and teachers (agents). Although it may seem like a routine administrative activity, the compilation of a timetabling is indeed a multi-criteria task and requires the use of algorithms and optimization methods. The aim of the timetabling is to ensure the optimal distribution of learning activities in time and space, ensuring efficient use of resources, priorities and meeting the needs of all participants in the learning process, namely the agents. A properly designed timetabling not only contributes to improving the academic success of the students but also facilitates the work of the teachers and administration of the university. In this context, the development of mathematical models and computer systems for the automated compilation of timetabling is crucial for the modern management of the educational process. These tools not only optimize the process of composing timetabling, but also provide opportunities for adaptation to changing needs and conditions in HEIs. © 2024 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

WDCLF method for Web database design

WDCLF method for Web database design

引用

2024 IEEE International Conference on Computing, ICOCO 2024

作者： Rashidov, Aldeniz Department of Automation information and control systems Technical University of Gabrovo Gabrovo Bulgaria

ISBN: (纸本)9798331530303

This paper presents the WDCLF (Web Declare, Conceptual, Logical, Physical) method for web database design (WDB), which has been adapted to the needs of web applications. The WDCLF extends traditional database design approaches by adding specific elements related to Web-based systems. WDCLF offers a multi-layered architecture that allows parallel development of the data model and the processing model, accelerating the design and implementation processes. The method ensures high coordination between teams, which helps to flexibly adapt to changing requirements. Key benefits of WDCLF include scalability, security and optimized performance - key factors for the efficient operation of modern web applications. WDCLF enables integration with external systems, ensuring stability and performance under load. ©2024 IEEE.

关键词： Web Design

来源：评论

学校读者我要写书评

暂无评论

Automating Citation Formatting in Scientific Publications Using ChatGPT 1

Automating Citation Formatting in Scientific Publications Us...

引用

1st Asian Conference on Communication and Networks, ASIANComNet 2024

作者： Rashidov, Aldeniz Technical University of Gabrovo Department of Automation Information and Control Systems Gabrovo Bulgaria

ISBN: (纸本)9798350367003

In academic writing, the accuracy of citation formatting in scientific publications is essential for maintaining the integrity and consistency of scientific communication. However, manually formatting citations according to different styles, such as the IEEE, APA, or MLA, can be time-consuming and error-prone. This paper presents an innovative approach to automate citation formatting in scientific publications using ChatGPT. It proposes an algorithm that incorporates a sequence of instructions and guidance, combined with the capabilities of ChatGPT, and greatly simplifies the process of formatting citations according to different styles. The proposed approach involves training ChatGPT with a dataset containing citation guides and examples from different formatting styles to improve its ability to generate correctly formatted citations. This work presents a comparative characterization of the existing automated citation formatting systems and the proposed algorithm with ChatGPT. Their functionalities are analyzed and their advantages and disadvantages are highlighted. In addition, a SWOT analysis of the systems is performed, which examines their strengths, weaknesses, opportunities, and threats. The analysis highlights the effectiveness and advantages of the proposed solution with ChatGPT. The results show that automation using ChatGPT not only facilitates accurate citation formatting but also offers a practical tool for improving the quality and relevance of scientific publications. ChatGPT can significantly reduce formatting errors and improve the efficiency of academic writing, offering a scalable solution for researchers and institutions. © 2024 IEEE.

关键词： automation

来源：评论

学校读者我要写书评

暂无评论

SWOT analysis of distance learning for engineering students and strategies to improve the quality of learning 15

SWOT analysis of distance learning for engineering students ...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Rashidova, Fatme Technical University of Gabrovo Department of Automation Information and Control Systems Gabrovo Bulgaria

ISBN: (纸本)9798350370249

Unlike teaching theoretical subjects, teaching practical subjects have differences and require some special considerations. In a higher education institution (HEI) with a technical focus, learning practical skills is most often associated with seminars and laboratory exercises, specialized materials and equipment, smaller learner group sizes, and often longer blocks of time (a discipline's instructional hour) for practical training. In distance learning (DL), teaching practical skills poses significantly more difficulties than teaching theory. The purpose of this paper is to present a SWOT analysis for DL of engineering students. With the help of this analysis, decisions can be made to improve the quality of distance education. This SWOT analysis presents some of the main aspects of DL for engineering specialties in HEIs and can serve as a starting point for a more detailed study of the situation encountered in DL. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

SWOT Analysis of Online Examination of Engineering Students and Strategies to Improve Its Quality 8

SWOT Analysis of Online Examination of Engineering Students ...

引用

8th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2024

作者： Rashidova, Fatme Technical University of Gabrovo Department of Automation information and control systems Gabrovo Bulgaria

ISBN: (纸本)9798350354423

Online examination of engineering students is a complex and multi-layered process that requires careful planning and integration of various technologies. Engineering disciplines are characterized by high demands on students' practical skills and technical knowledge, making the online format particularly challenging. Online exams offer several advantages, including flexibility and accessibility, but also present challenges related to ensuring academic integrity and preventing cheating. To address these issues, teachers can use a variety of tools and strategies, including software solutions., time limits., and video monitoring of students during the exam. Effective student assessment is essential to measure success rates., identify strengths and weaknesses in the process., and adjust instruction to meet individual student needs. There are many different types of assessments that can be used., including interim assessments., summative assessments., and performance assessments. Overall., it is critical to take a balanced approach to online exams and student assessments., considering the strengths and challenges of these tools and ensuring that they are used in a fair and effective manner. By using effective tools and strategies., and promoting academic integrity., teachers can ensure that online exams are a valuable and reliable measure of student learning and progress. © 2024 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Challenges and limitations in the use of artificial intelligence in research and some options to overcome them 15

Challenges and limitations in the use of artificial intellig...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Rashidov, Aldeniz Rashidova, Fatme Technical University of Gabrovo Department of Automation information and control systems Gabrovo Bulgaria

ISBN: (纸本)9798350370249

Artificial intelligence (AI) is becoming increasingly important in the field of scientific research, providing new opportunities for processing large amounts of data, automating routine tasks, and discovering new dependencies in complex systems. Despite these advantages, the use of AI in the scientific domain is accompanied by many challenges and limitations. This paper explores the current state of the problem, analyses the challenges facing the scientific community and examines the main limitations of using AI. The report includes a SWOT analysis of the deployment of AI in scientific research, summarizing the strengths, weaknesses, opportunities and threats that accompany the use of AI technologies. Possible solutions to overcome these limitations are proposed, including the development of new methodologies for AI training, the creation of ethical and legal frameworks, and the training of professionals who can effectively use AI technologies. The report highlights the need for a coordinated effort between the scientific community, industry and regulators for the successful application of AI in research. AI has the potential to significantly improve the scientific process, but requires careful management of the challenges and risks associated with its use. © 2024 IEEE.

关键词： AI Challenges AI Limitations Artificial Intelligence Ethical Issues Scientific Research

来源：评论

学校读者我要写书评

暂无评论

Detection of cardiac arrhythmias using neural network-based heart rate variability analysis 5

Detection of cardiac arrhythmias using neural network-based ...

引用

5th IEEE KhPI Week on Advanced Technology, KhPIWeek 2024

作者： Ivashko, Andrey Krylova, Viktoriia Petrenko, Oleh Department of Automation and Control in Technical Systems National Technical University "Kharkiv Polytechnic Institute" Kharkiv Ukraine

ISBN: (纸本)9798350384499

The paper discusses the application of neural networks for processing heart rate variability signals, which is necessary for more reliable diagnosis of cardiovascular diseases. The relevance of this task is due to the fact that computerized electrocardiogram processing systems, including neural networks, have firmly entered the practice of clinical research. The paper proposes, with the aim of increasing the reliability of diagnosis, to perform preprocessing of rhythmograms and to calculate a series of integral characteristics of cardiointervalograms using statistical and geometric methods. To solve the problem of diagnosing cardiac arrhythmias, a multilayer perceptron classifier of the form 11-10-4 was created. Preprocessing was performed to form input parameters, including the extraction of peaks and the formation of rhythmograms, as well as the calculation of heart rate variability parameters. The neural network receives 11 values for each ECG (electrocardiogram) signal as input: SDNN, SDANN, SDNNi, SDSD, NN50, pNN50, CV, Mo, AMo, VR, IN. Based on the ECG analysis results, it was classified into one of four classes: normal rhythm, atrial fibrillation, other types of arrhythmias, noise. Two algorithms were used for training: backpropagation and conjugate gradients. Testing the network on real ECGs showed a sufficiently high diagnostic accuracy (sensitivity not less than 85%, specificity 82%). The results of the work can be applied in automated ECG analysis systems, particularly in Holter monitors. ©2024 IEEE.

关键词： Multilayer neural networks

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44页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：