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

2,858 篇 会议
2,353 篇 期刊文献
101 册 图书

馆藏范围

5,312 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,050 篇 工学
- 1,964 篇 计算机科学与技术...
- 1,623 篇 软件工程
- 634 篇 信息与通信工程
- 423 篇 控制科学与工程
- 393 篇 生物工程
- 386 篇 生物医学工程（可授...
- 338 篇 电气工程
- 288 篇 核科学与技术
- 285 篇 电子科学与技术（可...
- 250 篇 光学工程
- 205 篇 机械工程
- 157 篇 化学工程与技术
- 150 篇 仪器科学与技术
- 125 篇 动力工程及工程热...
- 110 篇 安全科学与工程
2,222 篇 理学
- 1,068 篇 物理学
- 835 篇 数学
- 452 篇 生物学
- 275 篇 统计学（可授理学、...
- 203 篇 系统科学
- 168 篇 化学
- 92 篇 天文学
816 篇 管理学
- 455 篇 管理科学与工程(可...
- 403 篇 图书情报与档案管...
- 251 篇 工商管理
364 篇 医学
- 317 篇 临床医学
- 274 篇 基础医学(可授医学...
- 194 篇 药学(可授医学、理...
- 128 篇 公共卫生与预防医...
119 篇 法学
- 93 篇 社会学
80 篇 教育学
76 篇 经济学
68 篇 农学
13 篇 文学
11 篇 军事学
5 篇 艺术学

主题

110 篇 machine learning
101 篇 artificial intel...
99 篇 deep learning
94 篇 accuracy
85 篇 informatics
82 篇 computational mo...
82 篇 hadron colliders
79 篇 feature extracti...
76 篇 training
65 篇 support vector m...
57 篇 internet of thin...
57 篇 data models
56 篇 convolutional ne...
55 篇 data mining
54 篇 forecasting
51 篇 predictive model...
49 篇 computer science
47 篇 optimization
46 篇 higgs bosons
44 篇 visualization

机构

416 篇 department for p...
408 篇 faculty of scien...
405 篇 kirchhoff-instit...
403 篇 department of ph...
391 篇 institute of phy...
388 篇 department of ph...
387 篇 department of ph...
375 篇 institute of phy...
369 篇 fakultät für phy...
352 篇 instituto de fís...
312 篇 department of ph...
289 篇 dipartimento di ...
288 篇 graduate school ...
280 篇 department of ph...
279 篇 department of ph...
277 篇 nikhef national ...
272 篇 universidade fed...
268 篇 department of ph...
265 篇 ictp trieste
257 篇 yerevan physics ...

作者

338 篇 c. alexa
335 篇 j. m. izen
334 篇 g. bella
333 篇 d. calvet
333 篇 c. amelung
331 篇 j. strandberg
327 篇 g. spigo
327 篇 f. siegert
320 篇 r. ströhmer
320 篇 m. rijssenbeek
320 篇 s. jin
320 篇 g. gaudio
320 篇 s. mohapatra
312 篇 s. guindon
308 篇 a. kaczmarska
302 篇 y. tayalati
302 篇 j. schaarschmidt
293 篇 a. d. pilkington
291 篇 l. chevalier
286 篇 m. klein

语言

4,748 篇 英文
545 篇 其他
17 篇 中文
6 篇 日文
4 篇 德文
2 篇 俄文
2 篇 土耳其文
1 篇 法文
1 篇 斯洛文尼亚文

检索条件"机构=Faculty of Computer Engineering and Informatics"

共 5312 条记录，以下是1311-1320 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：

A Hydroelectric Power Plant Brief: Classification and Application of Artificial Intelligence

A Hydroelectric Power Plant Brief: Classification and Applic...

引用

International Symposium on Applied Computational Intelligence and informatics ( SACI)

作者： Ghazanfar Shahgholian Majid Moazzami Sayed Mohammadali Zanjani Amir Mosavi Arman Fathollahi Department of Electrical Engineering Najafabad Branch Islamic Azad University Najafabad Iran John von Neumann Faculty of Informatics Obuda University Budapest Hungary Department of Electrical and Computer Engineering Aarhus University Aarhus Denmark

Hydropower is a reliable, clean, and efficient alternative to conventional fossil fuels and other renewable energy sources. The hydro turbine is the core of a hydropower plant, and the proper maintenance and operation of all other components are essential for maximizing energy production. Besides electricity generation, hydropower plants play a critical role in storing irrigation and drinking water and controlling floods. This study presents a concise overview of hydroelectric power plant classification based on the output power generated by peak water drop and storage. Pumped storage water plants are the most applicable classification based on water conditions. The study reviews the application of Artificial Intelligence (AI) in various aspects of hydropower plants, highlighting the potential benefits and challenges of integrating AI technologies in the energy production process. This paper emphasizes the importance of proper maintenance and operation of hydropower plants and provides insights into AI’s potential role in optimizing energy production and improving plant efficiency.

关键词：

来源：评论

学校读者我要写书评

暂无评论

River quality classification using different distances in k-nearest neighbors algorithm

River quality classification using different distances in k-...

引用

2022 International Conference on Industry Sciences and computer Science Innovation, iSCSi 2022

作者： Zamri, Nurnadiah Pairan, Mohammad Ammar Azman, Wan Nur Amira Wan Abas, Siti Sabariah Abdullah, Lazim Naim, Syibrah Tarmudi, Zamali Gao, Miaomiao Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Besut Campus Terengganu Besut Malaysia Management Science Research Group Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Malaysia Management Science Research Group Terengganu Kuala Nerus Malaysia Computer and Information Sciences University of Strathclyde Glasgow United Kingdom Universiti Technology MARA Johor Branch Johor Segamat Malaysia Faculty of Biology Medicine and Health School of Medical Siences University of Manchester Manchester United Kingdom

The practice of river quality classification usually uses Water Quality Index (WQI) to evaluate the WQI values of the river. However, due to huge data collection on river pollution with uncertain water quality parameter values, need to a different approach to classify the river quality. One of the supervised classification algorithms known as K-Nearest Neighbors (KNN) seems to give new approach for river quality classification where each data points are classified according to the k number or the closest data points neighbors. Therefore, the purpose of this paper is to apply different distances and distance-weighted in KNN for finding the most accurate river quality classification. The accuracy results are compared with Support Vector Machine (SVM) and Decision Tree (DT) algorithms. This KNN algorithm will give a different approach in classify the river quality. © 2022 Elsevier B.V.. All rights reserved.

关键词： Rivers

来源：评论

学校读者我要写书评

暂无评论

Using Spark Distributed Deep Learning to Analyze NetFlow in Data Lake System 10th

Using Spark Distributed Deep Learning to Analyze NetFlow in ...

引用

10th International Conference on Frontier Computing, FC 2020

作者： Jiang, Cheng-Tian Yang, Chao-Tung Chan, Yu-Wei Kristiani, Endah Liu, Jung-Chun Department of Computer Science Tunghai University Taichung City407302 Taiwan College of Computing and Informatics Providence University Taichung City Taiwan Department of Industrial Engineering and Enterprise Information Tunghai University Taichung City407302 Taiwan Department of Informatics Faculty of Engineering and Computer Science Krida Wacana Christian University Jakarta11470 Indonesia

ISBN: (纸本)9789811601149

The usage of data to improve information security has become the focus of research in the development of big data and artificial intelligence. However, the traditional single database technology is unable to handle the current complex and massive data processing while network attacks have also occurred frequently and produce massive data. This paper proposes a framework for storing and analyzing Web log data based on the concept of data lakes. The need for processing, accessing, querying, analyzing, and visualizing large amounts of data in a short time is also critical. Therefore, the Grafana tool was used to provide the network administrator a real-time monitoring and visualization system management. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Lakes

来源：评论

学校读者我要写书评

暂无评论

An Erasmus+ project: Interactive Course for Control Theory (ICCT) 8

An Erasmus+ project: Interactive Course for Control Theory (...

引用

47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021

作者： Podrzaj, Primoz Finzgar, Miha Pirnar, Zan Ljubic, Sandi Lanzetta, Michele Pollini, Lorenzo Venturini, Pietro Pizag, Bertalan Urbin, Agnes Korondi, Peter Graff, Jozsef Budai, Csaba University of Ljubljana Laboratory for Mechatronics Production Systems and Automation Faculty of Mechanical Engineering Ljubljana Slovenia University of Rijeka Faculty of Engineering Department of Computer Engineering Rijeka Croatia University of Pisa Department of Industrial Engineering Department of Information Engineering Pisa Italy Budapest University of Technology and Economics Faculty of Mechanical Engineering Department of Mechatronics Optics and Mechanical Engineering Informatics Budapest Hungary

ISBN: (纸本)9781665435543

The paper presents an overview and the main results of the Erasmus+ project titled Interactive Course for Control Theory-ICCT. The project was started by four European Universities when they identified by a survey that students find Control Theory more challenging to understand compared to other subjects. The project's main goal was to develop a platform, which would offer examples from the field of Control Theory in an interactive way-ICCT. Frequently asked questions (FAQ) and test exam questions were added as well. To support the course, an accompanying textbook was prepared. At this point, the course and the accompanying textbook are available in English and the languages of the partner universities;since both of them are publicly available, we assume they will be offered in other languages in future. The benefits of implementing our interactive course are already visible in better survey results and improved grades in Control Theory-related subjects. © 2021 IEEE.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Analysis of Drug Data Mining with Clustering Technique Using K-Means Algorithm 1

Analysis of Drug Data Mining with Clustering Technique Using...

引用

1st International Conference on Innovation and Application of Science and Technology, ICIASTECH 2019

作者： Lia Hananto, April Assiroj, Priati Priyatna, Bayu Nurhayati Fauzi, Ahmad Yuniar Rahman, Aviv Shofiah Hilabi, Shofa Faculty of Computing Universiti Teknologi Malaysia Skudai Johor Malaysia Faculty of Technology and Computer Science Universitas Buana Perjuangan Karawang Indonesia Master of Computer Science Universitas Budi Luhur Jakarta Indonesia Department of Informatics Engineering Universitas Widyagama Malang Indonesia

Data processing is very important in the development of information technology. Almost all fields of work have information data. Data can be used to help analysis in work. At present, health information data is very important to be processed in order to help medical personnel to make decisions. So that the results of the right decision to help patients. Lately, drug data has been misused for information eliminating a depressed patient without a doctor's prescription with a total data of 53766. The results shown are very large. So it requires very much attention from the government. As a result of the deviation of information and applied to the patient will result in death. Therefore, research needs to be conducted to group data on drug data. The source of research data is obtained from the UCI Machine Learning Repository Education website. The method proposed in this research is data mining. This solution can help researchers in the analysis of these data. One technique in data mining with clustering is using the K-means algorithm. The variables used are drug name, condition, useful count. The first research results can classify three categories consisting of using the highest drugs, using medium drugs and using lace drugs. Then the accuracy of the data is obtained with condition 99.45% valid records 53471, drug name 100% with valid records 53766, useful count 100% with valid records 53766. © Published under licence by IOP Publishing Ltd.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Unified Power Flow Controller: Operation, Modelling and Applications

Unified Power Flow Controller: Operation, Modelling and Appl...

引用

International Symposium on Applied Computational Intelligence and informatics ( SACI)

作者： Majid Dehghani Mohammad Reza Yousefi Amir Mosavi Arman Fathollahi Department of Electrical Engineering Najafabad Branch Islamic Azad University Najafabad Iran John von Neumann Faculty of Informatics Obuda University Budapest Hungary Department of Electrical and Computer Engineering Aarhus University Aarhus Denmark

This paper focuses on implementing the unified power flow controller (UPFC) in the optimal power flow approach, a critical aspect of power and control system operations. Optimal power flow minimizes operating costs and maintains safety margins for control variables, making it an indispensable tool for energy management. The flexible AC transmission system (FACTS) is a fundamental component of this approach, with the UPFC playing a crucial role. This versatile device provides various types of energy system compensation, enabling the independent control of reactive and active electrical power in transmission lines and bus voltages simultaneously. Previous studies have explored a wide range of engineering applications for UPFC using diverse techniques. This paper reviews these applications, specifically examining how UPFC can increase power system flexibility and controllability. Additionally, this paper explores utilizing artificial intelligence (AI) in the placement of UPFC in power systems. By incorporating AI techniques such as machine learning and optimization algorithms, power system operators can optimize the placement of UPFC to achieve optimal energy management. This approach enhances the efficiency and reliability of energy systems, resulting in significant cost savings and improved power system performance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Metaheuristic Based IDS Using Multi-objective Wrapper Feature Selection and Neural Network Classification 2nd

Metaheuristic Based IDS Using Multi-objective Wrapper Featur...

引用

2nd International Conference on Advances in Cyber Security, ACeS 2020

作者： Ghanem, Waheed Ali H. M. El-Ebiary, Yousef A. Baker Abdulnab, Mohamed Tubishat, Mohammad Alduais, Nayef A. M. Nasser, Abdullah B. Abdullah, Nibras Al-wesabi, Ola A. Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Terengganu Malaysia Faculty of Engineering and Faculty of Education-Aden and Saber Aden University Aden Yemen Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Kuala Terengganu Malaysia School of Computing and Technology Asia Pacific University of Technology and Innovation Kuala Lumpur Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja Malaysia Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Pekan Malaysia National Advanced IPv6 Center Universiti Sains Malaysia Gelugor Malaysia Faculty of Computer Science and Engineering Hodeidah University Al Hudaydah Yemen

ISBN: (纸本)9789813368347

Due to the significant ongoing expansion of computer networks in our lives nowadays, the demand for network security and protection from cyber-attacks has never been more imperative to either clients or businesses alike, which signifies the key role of cyber intrusion detection systems in network security. This article proposes a cyber-intrusion detecting system classification with MLP trained by a hybrid metaheuristic algorithm and feature selection based on multi-objective wrapper method. The classifier, named as HADMLP is trained using a hybridization of the artificial bee colony along with the dragonfly algorithm. A multi-objective artificial bee colony model which is wrapper-based is used for selection of feature. Hence, collective name of the proposed technique referred as MO-HADMLP. For performance evaluation, the proposed method was assessed using ISCX 2012 and KDD CUP 99 datasets. The results of our experiments indicate a significant enhancement to the efficacy of network intrusion detection when compared to other approaches. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

Comparative study about data speed acquisition and recording in a MySQL database of LabVIEW, MATLAB and Python programming languages 13

Comparative study about data speed acquisition and recording...

引用

13th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2021

作者： Csokmai, Lehel Szabolcs Novac, Cornelia Mihaela Novac, Ovidiu Constantin Bujdoso, Gyongyi Oproescu, Mihai Codrean, Marius University of Oradea Management in Information Technology Electrical Engineering and Information Technology Faculty Oradea Romania University of Oradea Department of Electrical Engineering Electrical Engineering and Information Technology Faculty Oradea Romania University of Oradea Department of Computers and Information Technology Electrical Engineering and Information Technology Faculty Oradea Romania University of Debrecen Faculty of Informatics Department of Computer Science and Library and Information Science Debrecen Hungary University of Pitesti [Faculty of Electronics Telecommunication and Computer Science Pitesti Romania

ISBN: (纸本)9781665425346

In this article, we compare LabVIEW, Matlab, and Python in the scope of data acquisition. We built a simple sine wave generator and used the USB-6361 multifunctional I/O device from NI to measure. We will measure the differences in execution times between LabVIEW, MATLAB, and the Python applications to observe their differences. © 2021 IEEE.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Enhancing IT Risk Management in XYZ Vocational School: Leveraging COBIT 5 Framework with the APO12 Domain

Enhancing IT Risk Management in XYZ Vocational School: Lever...

引用

Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), ASU International Conference in

作者： Winanti Erick Fernando Jullend Gate Department of Information Systems Universitas Insan Pembangunan Indonesia Information System Faculty of Engineering and Informatics Universitas Multimedia Nusantara Tangerang Indonesia Computer Science Department BINUS Online Learning Bina Nusantara University Jakarta Indonesia

This article explores the importance of IT risk management, especially at XYZ Vocational School. The agency is equipped to manage business risks, emphasizing the need to improve decision-making and risk mitigation by identifying potential hazards and evaluating internal and external threats, including hacking risks. The research investigates IT risk management at XYZ Vocational School using a qualitative and quantitative method with a focus on the APO12 COBIT 5 domain: Align, plan, and organize. It assesses subdomains such as data collection, risk analysis, profile maintenance, risk articulation, portfolio management, and response strategies. Conclusively, the research reveals institutional IT capabilities at level 1 (Performed Process) in the APO12 subdomain. Recommendations include developing COBIT-compliant SOPs for processes at this level, highlighting the need for further improvements in IT governance. This study provides valuable insights into IT risk management practices, offering recommendations for improving IT governance in educational settings.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Detection of Sarcasm Sentences in Indonesian Tweets using SentiStrength

Detection of Sarcasm Sentences in Indonesian Tweets using Se...

引用

International Conference on Information Technology, Information Systems and Electrical engineering (ICITISEE)

作者： Rajnaparamitha Kusumastuti Ema Utami Ainul Yaqin Magister of Informatics Engineering Universitas Amikom Yogyakarta Yogyakarta Indonesia Computer Science Faculty Universitas Amikom Yogyakarta Yogyakarta Indonesia

Detection of sarcasm sentences in the Natural Language Processing (NLP) field has a fairly high level of difficulty because it ignores elements of facial expressions and intonation of speech style. SentiStrength works by way of unsupervised learning so it is easier to use to classify sentiments more quickly. This study uses SentiStrengthID which has been developed for Indonesian texts. The tweets used in this study are tweets in Indonesian. SentiStrength will classify sentences into 3 classes, namely positive, negative, and neutral sentiments to detect the spread of sarcasm sentences within each sentiment group. The results of this study indicate the SentiStrength accuracy value of 54.52% in detecting sarcasm sentences in Indonesian-language tweets. SentiStrength managed to divide the detected sarcasm sentences into as many as 13 sentences on positive sentiment, 24 sentences on negative sentiment, and 70 sentences on neutral sentiment.

关键词： Training Support vector machines Electrical engineering Sentiment analysis Vocabulary Dictionaries Speech processing

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 << < 128 129 130 131 132 133 134 135 136 137 > >>

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：