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

2,202 篇 会议
1,194 篇 期刊文献
3 册 图书

馆藏范围

3,399 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,756 篇 工学
- 1,188 篇 计算机科学与技术...
- 981 篇 软件工程
- 336 篇 信息与通信工程
- 247 篇 电气工程
- 226 篇 电子科学与技术（可...
- 221 篇 生物工程
- 186 篇 生物医学工程（可授...
- 184 篇 控制科学与工程
- 146 篇 光学工程
- 143 篇 化学工程与技术
- 126 篇 材料科学与工程（可...
- 87 篇 仪器科学与技术
- 86 篇 机械工程
- 71 篇 动力工程及工程热...
- 68 篇 土木工程
- 67 篇 建筑学
1,173 篇 理学
- 472 篇 物理学
- 406 篇 数学
- 306 篇 生物学
- 162 篇 化学
- 157 篇 统计学（可授理学、...
- 80 篇 系统科学
525 篇 管理学
- 316 篇 管理科学与工程(可...
- 258 篇 图书情报与档案管...
- 222 篇 工商管理
186 篇 医学
- 152 篇 临床医学
- 143 篇 基础医学(可授医学...
- 69 篇 公共卫生与预防医...
97 篇 法学
- 87 篇 社会学
74 篇 农学
71 篇 经济学
- 70 篇 应用经济学
61 篇 教育学
11 篇 文学
5 篇 军事学
4 篇 艺术学
2 篇 哲学

主题

90 篇 computer science
76 篇 training
75 篇 machine learning
73 篇 computational mo...
69 篇 deep learning
60 篇 accuracy
50 篇 feature extracti...
48 篇 data models
47 篇 predictive model...
46 篇 support vector m...
44 篇 sentiment analys...
42 篇 fuzzy logic
41 篇 computer archite...
39 篇 optimization
37 篇 data mining
36 篇 proposals
36 篇 education
35 篇 visualization
34 篇 information tech...
33 篇 internet of thin...

机构

74 篇 computer science...
70 篇 bioinformatics a...
58 篇 computer science...
55 篇 computer science...
48 篇 bioinformatics a...
48 篇 computer science...
47 篇 computer science...
34 篇 computer science...
33 篇 bioinformatics a...
32 篇 photonics initia...
32 篇 school of comput...
30 篇 photonics initia...
30 篇 department of el...
30 篇 computer science...
30 篇 computer science...
29 篇 computer science...
28 篇 computer science...
27 篇 department of ph...
27 篇 school of inform...
26 篇 applied physics ...

作者

127 篇 bens pardamean
110 篇 pardamean bens
92 篇 gaol ford lumban
66 篇 warnars harco le...
62 篇 heryadi yaya
60 篇 suharjito
58 篇 meyliana
55 篇 yaya heryadi
53 篇 ford lumban gaol
51 篇 harco leslie hen...
48 篇 lukas
41 篇 girsang abba sug...
40 篇 prabowo harjanto
40 篇 andrea alù
39 篇 alù andrea
36 篇 benfano soewito
34 篇 abba suganda gir...
34 篇 utama ditdit nug...
32 篇 yulyani arifin
31 篇 ditdit nugeraha ...

语言

3,241 篇 英文
133 篇 其他
14 篇 中文
7 篇 日文
2 篇 西班牙文
2 篇 朝鲜文
2 篇 葡萄牙文
1 篇 德文
1 篇 斯洛文尼亚文

检索条件"机构=Graduate Program on Computer Science"

共 3399 条记录，以下是681-690 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：

Data mining for epidemiology: The correlation of typhoid fever occurrence and environmental factors 7

Data mining for epidemiology: The correlation of typhoid fev...

引用

7th International Conference on computer science and Computational Intelligence, CSCI 2022

作者： Asadi, Faisal Trinugroho, Joko Pebrianto Hidayat, Alam Ahmad Rahutomo, Reza Pardamean, Bens Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information System Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Program Bina Nusantara University Jakarta 11480 Indonesia

Typhoid fever is an endemic disease that burdens Indonesia and has a potentially fatal infection multisystem. Salmonella typhi bacterium is responsible for typhoid fever disease. Poor sanitation, crowding, and slums are the main factors of increasing typhoid fever incidences. Environmental factors directly connected to meteorological factors are the main factor in breeding the Salmonella typhi bacterium. This study aims to identify the correlation between meteorological parameters and typhoid fever disease occurrence. The study was carried out in Jakarta, Indonesia, and the Bureau of Meteorological, Climatology, and Geophysics (BMKG) provided the meteorological parameter data. In addition, the Jakarta health surveillance office provided information on typhoid fever hospitalizations from 2019 to 2021. Pearson's concept was utilized d to investigate the correlation between typhoid fever incidences and the meteorological parameters. Humidity, precipitation, and wind speed are the meteorological parameters that significantly affect in contribute to the occurrence of typhoid fever disease. These findings might be used as a reference for Indonesia's government in making public policy to prevent typhoid fever in Indonesia. © 2022 Elsevier B.V.. All rights reserved.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

Multi Fuzzy Criteria based Decision Model for Presidential Election in Indonesia

Multi Fuzzy Criteria based Decision Model for Presidential E...

引用

International Conference on Informatics and Computing (ICIC)

作者： Ditdit Nugeraha Utama Bagas Rizky Ramadhan Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia Research Transfer Technology Office Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331517601

ISBN: (纸本)9798331517618

Inevery nation, the main goal of a presidential election is to choose a good leader. Citizens of a country need to thoroughly observe and assess the presidential presidential candidates before making their selection. A study was conducted to create a simple decision model using multiple fuzzy criteria, taking into account the constrained perspective of Indonesian citizens. In this context, the primary methods employed for respectively designing and developing the model were object-oriented design and fuzzy logic. According to 7 free-selected presidential candidates, the model simulation revealed that candi- date number 2 received the highest decision value, scoring $\mathbf{6 8. 5 4 2}$ points; with a gap value of $\mathbf{0. 4 9}$.

关键词： Fuzzy logic Object oriented modeling Voting Computational modeling Informatics Context modeling

来源：评论

学校读者我要写书评

暂无评论

Exploring 3D Reconstruction with Drone Images: Advances and Challenges in Urban Environments 50

Exploring 3D Reconstruction with Drone Images: Advances and ...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Miranda Baldivieso, Thiago João da Silva Batista, Taise Grazielle Chagas, Fabio Suim Rodrigues Velho, Luiz Carlos Pacheco Ferreira Rosa, Paulo Fernando Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil State Institute of the Environment Inea RJ Rio de Janeiro Brazil Department of Science and Industry systems University of South-Eastern Norway Kongsberg Norway Department of Computer Graphics Institute for Pure and Applied Mathematics Rio de Janeiro Brazil Electrical Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

ISBN: (纸本)9781665464543

This working-in-progress paper aims to present a three-dimensional reconstruction using aerial images in different environments. The experiments were conducted with aircraft in both external and internal settings, starting with image acquisition, followed by the application of specific photogrammetry software-both commercial and open-source-and concluding with a qualitative evaluation of the results. © 2024 IEEE.

关键词： Aerial photography

来源：评论

学校读者我要写书评

暂无评论

Analysis of Opportunistic Interactions for Multi-robot Exploration Under Communication Constraints

Analysis of Opportunistic Interactions for Multi-robot Explo...

引用

IEEE Latin American Robotics Symposium, LARS

作者： Alysson Ribeiro Da Silva Luiz Chaimowicz Computer Science Graduate Program Universidade Federal de Minas Gerais Belo Horizonte Brazil

Multi-robot exploration (MRE) under communication constraints with high-level actions (i.e., deliver data to a base station) is a topic of research that recently received attention from the academic community. That stems from the fact that MRE can benefit interplanetary exploration, military, and search and rescue applications. Several researchers propose different methods that are taken into consideration to deliver data to a base station since it can help a human team to coordinate action plans efficiently and also to share information among robots. Among the most recent comparisons of different algorithms, we have not found one that addresses delivering data delivery situations. This paper extensively analyzes different frontier-based methods for MRE under communication constraints when the robot needs to deliver data to a base station. We measure the performance of the algorithms in terms of the amount of area explored per step to complete the exploration. For this, we developed a grid-world simulator that resembles a configuration space that can run hundreds of robots efficiently. With our analysis, we identified which method portrays the best performance and spent fewer computational resources, and provided a proof of concept in real robots showing qualitative results regarding its deployment.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Technology Acceptance Readiness Analysis in the Context of Digital Tourism Village using Machine Learning Approach

Technology Acceptance Readiness Analysis in the Context of D...

引用

International Conference on Information Management and Technology (ICIMTech)

作者： Indra Prawira Nur Afny Catur Andryani Ebnu Yufriadi Mass Communication Program Communication Department Faculty of Digital Communication and Hotel & Tourism Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350390025

ISBN: (纸本)9798350390032

Digital tourism village potentially accelerates rural development hence improving a country's economy. The Indonesian government has developed hundreds of tourism villages in recent years but has yet to popularize the development of digital villages. Technology design and development are pivotal factors in tourism villages' digitalization. Therefore, the development digital tourism village must consider village readiness by measuring technology adoption readiness or technology acceptance of the corresponding stakeholders. This paper presents the technology acceptance analysis in the context of a digital tourism village. We use a quantitative analysis approach using the TAM-UTAUT model with data collected from a questionnaire of 101 villagers (n=101) in Pasanggrahan Village, West Java, Indonesia. This research uses machine learning with clustering procedures to analyze the level of technology adoption readiness by implementing K-means Clustering algorithm. In addition, to observe the significance of each influencing factor to the technology adoption readiness level, feature importance analysis approach using Extra tree classifier algorithm is employed. The research finds that attitude toward use, perceived ease of use, and facilitating condition-have a considerable impact on the degree of readiness for technology adoption. On the other hand, the perceived utility and social impact are found to have minimal bearing on the preparedness level for technology adoption. Perceived ease of use and facilitating conditions are the most important factors to afford the acceleration of technology adoption readiness. The research contributes to the development of a digital tourism village and the analysis of technology adoption readiness using machine learning.

关键词： Java Machine learning algorithms Correlation Statistical analysis Government Clustering algorithms Classification algorithms Information management Stakeholders Random forests

来源：评论

学校读者我要写书评

暂无评论

Unified Approach to Video-Based AI Inference Tasks in Augmented Reality Systems Assisted by Mobile Edge Computing 31

Unified Approach to Video-Based AI Inference Tasks in Augmen...

引用

31st International Conference on Software, Telecommunications and computer Networks, SoftCOM 2023

作者： Sousa, Alexandre Ladeira De Okey, Ogobuchi Daniel Rosa, Renata Lopes Saadi, Muhammad Rodriguez, Demostenes Zegarra Federal University of Lavras Department of Computer Science Minas Gerais Lavras Brazil Federal University of ABC Graduate Program in Information Engineering Sao Paulo Santo Andre Brazil University of Central Punjab Department of Electrical Enginnering Punjab Pakistan Federal University of Lavras Computer Science Department Minas Gerais Lavras Brazil

ISBN: (纸本)9798350301076

In the rapidly evolving field of Augmented Reality (AR), delivering real-time, immersive experiences places a significant demand on computational resources, particularly in the context of video-based Artificial Intelligence (AI) inference tasks. Some solutions explorate optimize the tasks using the potential of Mobile Edge Computing (MEC), in which MEC brings the advantages of reduced latency and network congestion, which are critical for AR systems. In this work, we designed a novel algorithm named AR-MEC Optimization for the distribution of AI inference tasks among edge servers while considering several factors including task complexity, server capacity, and network conditions. Our approach not only ensures low-latency responses but also improves overall system efficiency and the user's Quality of Experience (QoE). Experimental results demonstrate that our unified approach significantly outperforms traditional cloud-based methods in terms of response time and computational efficiency, thereby highlighting the potential of MEC-assisted AR systems for real-world applications. © 2023 University of Split, FESB.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

A Novel Resource Allocation in Software-Defined Networks for IoT Application 31

A Novel Resource Allocation in Software-Defined Networks for...

引用

31st International Conference on Software, Telecommunications and computer Networks, SoftCOM 2023

作者： De Sousa, Alexandre Ladeira Okey, Ogobuchi Daniel Rosa, Renata Lopes Saadi, Muhammad Rodriguez, Demostenes Zegarra Federal University of Lavras Department of Computer Science Minas Gerais Lavras Brazil Federal University of ABC Santo Andre Graduate Program in Information Engineering Sao Paulo Brazil University of Central Punjab Department of Electrical Enginnering Punjab Pakistan Federal University of Lavras Computer Science Department Minas Gerais Lavras Brazil

ISBN: (纸本)9798350301076

The rapid proliferation of Internet of Things (IoT) devices has posed significant challenges for network resource allocation and management. In this paper, we propose a novel methodology for efficient resource allocation in Software-Defined Networks (SDNs) to meet the unique requirements of IoT applications. Our approach leverages the flexibility and programmability of SDN to dynamically allocate network resources based on the specific needs of IoT devices. Our proposal combines reinforcement learning with dynamic resource allocation, demonstrating its effectiveness in optimizing resource allocation and enhancing network performance. The results highlight the potential of our approach to addressing the resource challenges in SDN-based IoT environments. The proposed method obtains results superior to 30% of throughput in comparison to a traditional resource allocation in SDN to IoT applications. © 2023 University of Split, FESB.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Classifying Tweet Sentiment Analysis on Airlines using Random Forest Classifier, Naïve Bayes Classifier and K-Nearest Neighbors Classifier Algorithm

Classifying Tweet Sentiment Analysis on Airlines using Rando...

引用

2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing, AIRoSIP 2023

作者： Alexander, Ivan Heryadi, Yaya Lukas Suparta, Wayan Sonata, Ilvico Bina Nusantara University Binus Graduate Program Computer Science Computer Science Departement Jakarta11480 Indonesia Universitas Katolik Indonesia Atma Jaya Cognitive Engineering Research Group Faculty of Engineering Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798350327472

Opinion has always affected businesses and individuals especially from the Public. People react through social media and spread it incompletely. The situation was then accepted as public opinion. There are three categories of opinion i.e., positive, negative, and neutral. To investigate public opinion on a particular issue of interest, sentiment analysis might be employed. By offering a solution to the text classification challenge, this experiment focuses on the perception of airline tweets among the American public. We offer a method to classify tweets as positive, negative, or neutral using three machine learning classifiers: Random Forest Classifier, Naive Bayes Classifier, and K-Nearest Neighbors Classifier. We examined the performance of three machine learning classifiers in terms of accuracy, average precision, average recall, and average f-1 score. The results demonstrate that the Random Forest Classifier, which produces 82% accuracy, 80% average precision, 82% average recall, and 80% average f1-score, performs the best among the machine learning classifiers. © 2023 IEEE.

关键词： Tweets

来源：评论

学校读者我要写书评

暂无评论

Analysis of ensemble majority voting approach for acute lymphoblastic leukemia detection using svm trained on white blood cell abnormalities in images 9th

Analysis of ensemble majority voting approach for acute lymp...

引用

9th International Conference on computer science and Computational Intelligence, ICCSCI 2024

作者： Januardo, Bryan Putradinata, Harley Moniaga, Jurike V. Nabiilah, Ghinaa Zain Computer Science Department Binus Graduate Program Jl. Raya Kb. Jeruk No.27 RT.1/RW.9 Kemanggisan Kec. Palmerah Kota Jakarta Barat Daerah Khusus Ibukota Jakarta11530 Indonesia

Leukemia is a cancer that attacks and infects white blood cells which can hinder the capability for someone with leukemia to fight infections, which may cause severe complications or even death. While Acute Lymphoblastic Leukemia is a certain type of leukemia that is the most prevalent childhood cancer. Detecting this disease is a repetitive activity that can take a lot of time and resources, meanwhile Acute Lymphoblastic Leukemia has a fast growth rate. In this study, we will try to classify leukemia cancer using machine learning based on the images of white blood cells provided. This method could provide early diagnosis and reduce the burden on hematologist-oncologist by optimizing the resources that are available. This research will use the ensemble classifier concept by combining several SVM models like linear, polynomial, and RBF. That have been trained, then combined into one singular ensemble model. By combining these models, we hope to improve the classification performance by minimizing the drawbacks of using certain SVM kernels. The results of this classification obtained an accuracy performance of 70.01%. © 2024 The Authors.

关键词： Lung cancer

来源：评论

学校读者我要写书评

暂无评论

Critical Factors of Immersive Learning in Higher Education: A Systematic Literature Review 10

Critical Factors of Immersive Learning in Higher Education: ...

引用

10th International Conference on ICT for Smart Society, ICISS 2023

作者： Sunardi Meyliana Ramadhan, Arief Rosmansyah, Yusep Bina Nusantara University BINUS Graduate Program Doctor of Computer Science Computer Science Department Jakarta Indonesia School of Information System Bina Nusantara University Information System Departement Jakarta Indonesia School of Computing Telkom University Bandung Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9798350339543

Immersive learning has gained significant attention with the rising trend of spatial computing, particularly in the after-pandemic era. Numerous research has explored the potential of immersive learning in higher education, primarily on the educational sector. However, prior research has frequently focused too narrowly on the effects of technology and neglected to address the crucial element influencing successful immersive learning in higher education. This study seeks to pinpoint the crucial element contributing to the development of immersive learning experiences. The methodology uses a systematic literature review (SLR) from 2018 up to 2023 to investigate the critical factors of immersive Learning in Higher Education. From the 728 papers initially retrieved, 274 were considered potential candidates, and ultimately, 86 articles were selected based on their relevance to the research question. The results reveal that the critical factors include learning design, technology, immersion, engagement, interactivity, and usability. Academic interests will benefit from this SLR's consequences as institutions create models for designing suitable immersive learning, especially within the context of higher education. © 2023 IEEE.

关键词： E-learning

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340页 << < 65 66 67 68 69 70 71 72 73 74 > >>

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：