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

22,192 篇 会议
195 篇 期刊文献
119 册 图书

馆藏范围

22,506 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

14,446 篇 工学
- 10,441 篇 计算机科学与技术...
- 7,169 篇 软件工程
- 2,513 篇 信息与通信工程
- 2,023 篇 控制科学与工程
- 1,419 篇 机械工程
- 1,297 篇 仪器科学与技术
- 1,201 篇 电气工程
- 1,162 篇 电子科学与技术（可...
- 644 篇 生物医学工程（可授...
- 550 篇 生物工程
- 500 篇 动力工程及工程热...
- 420 篇 建筑学
- 404 篇 安全科学与工程
- 392 篇 化学工程与技术
- 368 篇 光学工程
- 358 篇 材料科学与工程（可...
- 355 篇 交通运输工程
4,190 篇 管理学
- 2,847 篇 管理科学与工程(可...
- 1,579 篇 图书情报与档案管...
- 1,270 篇 工商管理
4,147 篇 理学
- 2,139 篇 数学
- 922 篇 系统科学
- 747 篇 物理学
- 650 篇 统计学（可授理学、...
- 625 篇 生物学
- 346 篇 化学
594 篇 医学
- 438 篇 临床医学
- 433 篇 基础医学(可授医学...
574 篇 经济学
- 565 篇 应用经济学
478 篇 法学
388 篇 教育学
- 361 篇 教育学
249 篇 农学
184 篇 文学
148 篇 艺术学
69 篇 军事学
1 篇 哲学

主题

661 篇 servers
631 篇 quality of servi...
619 篇 educational inst...
566 篇 computer archite...
550 篇 computational mo...
427 篇 monitoring
378 篇 web services
346 篇 computers
292 篇 software
277 篇 mathematical mod...
272 篇 protocols
264 篇 cloud computing
244 篇 real time system...
242 篇 algorithm design...
221 篇 databases
209 篇 indexes
204 篇 bandwidth
202 篇 semantics
200 篇 service oriented...
198 篇 wireless sensor ...

机构

85 篇 department of co...
53 篇 school of comput...
42 篇 school of comput...
39 篇 school of softwa...
38 篇 school of comput...
35 篇 school of comput...
33 篇 school of comput...
33 篇 school of comput...
33 篇 school of comput...
29 篇 department of co...
29 篇 college of infor...
29 篇 school of comput...
28 篇 school of comput...
27 篇 school of comput...
25 篇 institute of inf...
25 篇 college of compu...
25 篇 college of compu...
24 篇 department of el...
24 篇 school of comput...
22 篇 tsinghua nationa...

作者

27 篇 wang wei
22 篇 zhang lei
22 篇 li li
20 篇 china
19 篇 li yang
16 篇 li xin
16 篇 wei li
15 篇 jing zhang
14 篇 wang lei
14 篇 li tao
14 篇 yang yang
13 篇 tao yang
13 篇 liu yang
12 篇 liu jun
11 篇 rui wang
11 篇 zhang tao
11 篇 zhang ning
11 篇 wu bin
11 篇 supriyanto eko
11 篇 tao zhang

语言

21,842 篇 英文
646 篇 中文
16 篇 其他
2 篇 法文

检索条件"任意字段=2011 International Conference on Computer Science and Service System, CSSS 2011"

共 22506 条记录，以下是81-90 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：

Identifying Environmental Information Disclosure Manipulation Behavior through Machine Learning: A Comparative Analysis of Recognition Models

Identifying Environmental Information Disclosure Manipulatio...

引用

international conference on Information systems and computer Aided Education (ICISCAE)

作者： Hengli Chen Yan Wang Yuxiang Hu Zhongqi Xu Chengmeng Wu Yuanzhe Li School of Management Xiamen University Xiamen China School of Materials Science and Engineering Nanyang Technological University Singapore College of Design and Engineering National University of Singapore Singapore Dalian University of Finance and Economics Dalian China Department of Pure Mathematics and Mathematical Statistics University of Cambridge Cambridge United Kingdom Carbon Neutrality Research Lab China Academy of Art China

Manipulation of corporate environmental information disclosure is highly covert, posing significant challenges to the identification and judgment of such manipulative behaviors. In this study, we apply machine learning methods to construct a model for identifying manipulative behaviors in environmental information disclosure. We collect environmental pollution penalty cases of Chinese listed companies from 2011 to 2020 and combine them with the "pressure pool" index system to build training and testing datasets. We compare the recognition abilities of logistic regression, decision tree, and random forest models. To address the issue of data imbalance, we compare two oversampling techniques, Borderline-SMOTE and ADASYN. In the final detection results, the Borderline-SMOTE algorithm demonstrates better identification performance, and the Borderline-SMOTE-RF model outperforms the logistic regression and decision tree models. We hope that our research can provide references for regulatory authorities, accelerate the improvement of mandatory environmental information disclosure regulations for listed companies, enhance the detection, identification, and early warning capabilities of manipulative behaviors in environmental information disclosure, and promote the quality of environmental information disclosure.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Autoregressive Techniques for Forecasting Applications 2

Autoregressive Techniques for Forecasting Applications

引用

2nd international conference on Secure Cyber Computing and Communications, ICSCCC 2021

作者： Priyavrat Sharma, Nonita Sikka, Geeta Dr. B.R. Ambedkar National Institute of Technology Department of Computer Science and Engineering Jalandhar India

ISBN: (纸本)9781665444156

The objective of this research paper is to comparatively analyze different autoregressive techniques to forecast the daily count of rental bikes. The data set utilized for forecasting contains the demand of bikes on lease from 2011 to 2012 of the Capital Bikeshare system located in Washington, DC with the corresponding climate and seasonal information. Forecasting results of three models are compared with the help of Root Mean Squared Error and Mean Absolute Percent Error. In this paper, it is demonstrated that the ARIMA model is best in terms of fitting and forecasting precision than the other two models used for forecasting. This research work will be helpful for the bike-sharing firm to know about the demand for bikes for upcoming days so that they can make arrangements accordingly. © 2021 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Mapping Research Trends and Visualization of E-learning in Entrepreneurship in the Last Ten Years 1

Mapping Research Trends and Visualization of E-learning in E...

引用

1st international conference on Electrical and Information Technology, IEIT 2021

作者： Maulana, Fairuz Iqbal Candra Pratama, Febby Permana, Frihandhika Khaeruddin Herasmara, Ridho School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia BINUS Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta11480 Indonesia Diploma III Electronic Technology Vocational Study Program University of Muhammadiyah Malang Malang Indonesia Electrical Engineering Faculty of Science and Technology Raden Rahmat Islamic University Malang Indonesia

ISBN: (纸本)9781665417860

E-learning is a system or concept of education or learning process that utilizes information technology in the teaching and learning process anywhere and anytime. E-learning is widely applied in various fields of science. In this study, we draw scientific efforts on e-learning and entrepreneurship from publications in the Scopus database. We reviewed 218 academic documents published over the last 10 years, from 2011 to 2020. Our method is a global bibliometric analysis by visualizing connected networks using Vosviewer. The method used consists of five stages: determining search keywords, initial search results, refinement of search results, initial compilation, and data analysis. We researched several countries, affiliations, authors, subject areas, to types of publications that have relations in this field. Among the most published and indexed articles by Scopus, papers published by researchers in the China have the highest number of publications is 36 academic documents, followed by United States 18 academic publications, and Italy with 16 academic publications. The results showed that it had a limited impact, and through visualization, the network presented research gaps that future researchers should fill. The processed data shows the pattern and trend of increasing the number of international publications on E-learning in the field of entrepreneurship indexed by Scopus. Finally, we address the limitations of this study. © 2021 IEEE.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Analysis of Machine Learning Algorithms for Suitable Crop Prediction in Agriculture

A Comprehensive Analysis of Machine Learning Algorithms for ...

引用

Cognitive Robotics and Intelligent systems (ICC - ROBINS), international conference on

作者： Kriti Priya Shah Subodh Narayan Sah Kadam Prajwal Dharmaraj K Dinesh Kumar Dept of Computer Science and Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798350372748

ISBN: (纸本)9798350372755

Agricultural productivity is major concern for the global food community. According to the 2011 census, about 49% of the people in India are engaged in farming or related activities. Agriculture provides almost 17% of the country's GDP. So, it's necessary to grow suitable crops at suitable locations to maximize the production of crops and revenue obtained from them to help the country’s economy. Many statistical methods have been used from past years like doing field survey and analyze the obtained data, obtaining mathematical equations that give relationship between crop-related parameters like temperature and rainfall, techniques like correlation analysis, regression analysis, ANOVA, etc. In this comparative analysis, the prediction of suitable crop is done using supervised machine learning prediction approaches such as K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Least Absolute Shrinkage & Selection Operator (LASSO) regression, Linear Descriptive analysis (LDA), Nearest Centroid Classifier and Voting regression. KNN & SVM, both models achieved the highest accuracy among others, which is 97.78%. The main goal of this comparative study is that comparing different machine learning classification techniques for suitable crop prediction helps to enhance the production of crops and thus contributes to the growth of agriculture in the country. This comparative study provides valuable insights and guidance for suitable crop plantation.

关键词： Support vector machines Surveys Temperature distribution Machine learning algorithms Rain Biological system modeling Crops

来源：评论

学校读者我要写书评

暂无评论

Coding is the New Coal: A History of Integrating computer science Across Wyoming's K-12 Curriculum

Coding is the New Coal: A History of Integrating Computer Sc...

引用

2021 ASEE Virtual Annual conference, ASEE 2021

作者： Northrup, Astrid K. Floyd, Raymond Edward Dechert, S. Renee Burrows, Andrea Carneal Northwest College United States University of Wyoming United States

Historically, Wyoming has depended on coal and petroleum as the foundation of the state's tax base. With revenue from these sources in decline, Wyoming lawmakers began the process of transforming the state's economy, with a focus on encouraging the growth of high-tech industries. As a first step, in 2019, the Wyoming State Legislature passed a bill mandating computer science at all levels of K-12 public education to encourage universal computer literacy. Based on this legislation, the Wyoming Department of Education wrote computer science standards, which were accepted in February 2020. While the Wyoming State School Board is currently working to approve those standards, Wyoming's higher education system (the University of Wyoming and seven community colleges) has begun implementing K-12 computer science Endorsement programs in accordance with the Wyoming Professional Teaching Standards Board. In the summer of 2020, Northwest College (NWC), a two-year college located in rural Wyoming, launched its program to a cohort of K-12 teachers. The endorsement program includes courses in structured programming, application development, cyber citizenship, and robotics. The first cohort will graduate in May 2021 and will be certified to teach computer science in Wyoming's public schools. This paper outlines the process for curriculum development, problem solving, and instructional strategies employed by those NWC faculty teaching the cohort. The experiences of the teachers enrolled in the first cohort will be a topic of future study. © American Society for Engineering Education, 2021

关键词： Curricula

来源：评论

学校读者我要写书评

暂无评论

Quick Debugging Method for Internet of Things Communication Module 2

Quick Debugging Method for Internet of Things Communication ...

引用

2020 2nd international conference on Electronics and Communication, Network and computer Technology, ECNCT 2020

作者： Shuai, Chen Renyi, Shu Qing, Cheng School of Computer Huainan Normal University Huainan Anhui232038 China School of Electronic Engineering Huainan Normal University Huainan Anhui232038 China

When developing the application system of the Internet of Things communication module, the short-range wireless communication module must be ensured to work normally in the first. In order to quickly debug short-range wireless communication modules, this paper proposes a module debugging method using USB to TTL serial port. The method uses a USB to TTL serial port module to connect the wireless communication module with the personal computer, and directly debugs in the Serial Port Tester, thereby avoiding the delay of writing the program and playing the role of quick debugging. The effectiveness of the debugging method is verified by experiments. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Decision Support Ecosystems: Definition and Platform Architecture 8th

Decision Support Ecosystems: Definition and Platform Archit...

引用

8th international conference on Decision Support system Technology, ICDSST 2022

作者： Kirchhoff, Jonas Weskamp, Christoph Engels, Gregor Department of Computer Science Paderborn University Paderborn Germany

ISBN: (纸本)9783031065293

Decision support systems are crucial in helping decision makers to quickly identify optimal business decisions in increasingly volatile and complex business environments. However, the ideal DSS for one decision maker may not optimally address the requirements for decision support of another decision maker. This is due to differences between decision makers in business goals, regulatory restrictions or availability of resources such as data. By using a suboptimal DSS, decision makers risk implementing suboptimal decision recommendations which endanger the success of their business. This presents DSS developers with the challenge to implement a customizable DSS which can be tailored to the individual requirements for decision support of a single decision maker. In order to address this challenge, we suggest a decision support ecosystem in which DSS developers, decision makers and other domain experts collaborate using a shared platform to provide and combine reusable decision support services into a tailored DSS. The contribution of our paper is twofold: First, we define the concept of a decision support ecosystem with respect to existing digital business ecosystems and discuss expected benefits and challenges. Second, we present a reference architecture for a shared platform supporting the realization of a decision support ecosystem. We demonstrate our contributions in the example application domain of regional energy distribution network planning. © 2022, Springer Nature Switzerland AG.

关键词： Decision support systems

来源：评论

学校读者我要写书评

暂无评论

Optimal Scheduling of Load Aggregators Participating in Demand Response Market under Low-Carbon Power system 5

Optimal Scheduling of Load Aggregators Participating in Dema...

引用

5th IEEE conference on Energy Internet and Energy system Integration, EI2 2021

作者： Zhang, Lingqiao Zeng, Lin Wu, Haiyan Liu, Hanlin Liao, Peng Chen, Yusi Demand Side Response Division State Grid Hunan Comprehensive Energy Service Co. Ltd Changsha China Electric Energy Substitution and Energy Efficiency Service Division State Grid Hunan Comprehensive Energy Service Co. Ltd Changsha China School of Electrical and Information Engineering Changsha University of Science and Technology Changsha China

ISBN: (纸本)9781665434256

To address the increasingly urgent issues of global energy security and environmental degradation, General Secretary Xi Jinping has proposed the "dual carbon" goal and the construction of a new power system dominated by new energy sources. It is one of the important ways to promote low carbon energy transition and achieve "dual carbon" goal to construct the demand response market transaction mode of load aggregator under new power system. Therefore, this paper puts forward a dispatching method for load aggregators to participate in the demand response market under the low-carbon power system, and gives some policy suggestions for load aggregators to participate in the demand response market under the low-carbon power system. Firstly, in the framework of the low-carbon power system, the definition of load aggregator is given, and the market function, technical function, voltage level limit, load response capacity requirement, grid access specification and technical standard of grid safety are analyzed. Second, research the load aggregators to participate in demand response market framework, combined with the new peak power system design cut demand response scenario, with the lowest cost of power grid operation, peak sharpening effect is best, at the same time meet the target of minimum carbon emissions, establish the low-carbon power system under load aggregators in optimal operation model of response to market demand;Finally, taking the receiving end system of China's low-carbon power as an example, the numerical simulation and analysis are carried out to prove the scientific nature of the optimal dispatching method of the load aggregator participating in the demand response market under the low-carbon power. © 2021 IEEE

关键词： Carbon

来源：评论

学校读者我要写书评

暂无评论

Bird Species Identification Using Image Processing and CNN

Bird Species Identification Using Image Processing and CNN

引用

Interdisciplinary Humanitarian conference for Sustainability (IIHC), international

作者： S H Shruthishree Zabeeulla Department of Computer Science and Engineering Faculty of Engineering and Technology Jain (Deemed-to-be University) Bangalore India

The relationship between birds and humans goes well beyond the the superficial. The process of identifying birds is complex, and mistakes in the naming of species are common. Therefore, photographs based on a computer system are required to aid birdwatchers in the identification process. The proposed work is to explore the feasibility of applying deep learning to the identification of birds by use of a convolutional neural network for feature extraction from photos. In this method, the signature was created by converting a colour picture of a bird to a black-and-white one. Each node's score is calculated using the autographs, and then each species of bird is predicted using the score analysis. Training and evaluation procedures made use of the Caltech-UCSD Birds 200 [CUB-200-2011] dataset. After developing this dataset and employing the similarity comparison algorithm, the effectiveness of the system in practise was demonstrated. Using this system, anyone may quickly learn the name of any bird they're interested in.

关键词： Training Deep learning Image color analysis Birds Feature extraction Prediction algorithms Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Design of science App Management Tool for Computational science Engineering Platform 10th

Design of Science App Management Tool for Computational Scie...

引用

10th international conference on computer science and its Applications, CSA 2018 and the 13th KIPS international conference on Ubiquitous Information Technologies and Applications, CUTE 2018

作者： Jeon, Inho Kwon, Yejin Ma, Jin Lee, Jongsuk Ruth Seo, Jerry H. Daejeon Korea Republic of

ISBN: (纸本)9789811393402

The development of open science has resulted in the sharing of a greater amount of information including research processes as well as research results. We are developing a platform, EDISON (EDucation-research Integration through Simulation on the Net) to further promote the open science practice in the fields of computational science and engineering. The EDISON platform not only provides an online service of simulations developed by computational scientists and engineers, but also an environment for sharing source codes, data, and related publications. An efficient management system for simulation software programs is required to ensure the service quality of the EDISON platform. This study proposes a registration and management system that introduces simulation software programs developed by computational researchers to EDISON. The developer can register the simulation software programs on EDISON using our system, and establish an effective web-based simulation environment without administrator intervention. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Websites

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 << < 5 6 7 8 9 10 11 12 13 14 > >>

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：