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

1,018 篇 会议
312 篇 期刊文献

馆藏范围

1,330 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

622 篇 工学
- 543 篇 计算机科学与技术...
- 470 篇 软件工程
- 143 篇 信息与通信工程
- 77 篇 控制科学与工程
- 68 篇 生物工程
- 66 篇 电气工程
- 44 篇 生物医学工程（可授...
- 41 篇 安全科学与工程
- 34 篇 网络空间安全
- 31 篇 化学工程与技术
- 28 篇 环境科学与工程（可...
- 26 篇 机械工程
- 25 篇 光学工程
- 25 篇 交通运输工程
301 篇 理学
- 107 篇 数学
- 100 篇 物理学
- 81 篇 生物学
- 59 篇 统计学（可授理学、...
- 38 篇 系统科学
- 25 篇 化学
272 篇 管理学
- 166 篇 管理科学与工程(可...
- 148 篇 图书情报与档案管...
- 120 篇 工商管理
54 篇 法学
- 47 篇 社会学
48 篇 经济学
- 48 篇 应用经济学
43 篇 医学
- 41 篇 临床医学
- 40 篇 基础医学(可授医学...
- 30 篇 公共卫生与预防医...
27 篇 教育学
- 27 篇 教育学
25 篇 农学
- 23 篇 作物学
9 篇 文学
1 篇 军事学

主题

44 篇 computer science
43 篇 deep learning
42 篇 sentiment analys...
42 篇 accuracy
38 篇 fuzzy logic
38 篇 training
37 篇 machine learning
34 篇 data models
30 篇 support vector m...
28 篇 information tech...
28 篇 social networkin...
26 篇 predictive model...
24 篇 computational mo...
22 篇 analytical model...
21 篇 companies
20 篇 information syst...
20 篇 face recognition
19 篇 covid-19
18 篇 education
17 篇 mobile applicati...

机构

81 篇 bioinformatics a...
78 篇 computer science...
63 篇 computer science...
59 篇 computer science...
53 篇 computer science...
51 篇 computer science...
50 篇 bioinformatics a...
47 篇 bioinformatics a...
39 篇 computer science...
36 篇 school of comput...
35 篇 computer science...
33 篇 computer science...
31 篇 computer science...
30 篇 computer science...
29 篇 computer science...
29 篇 information syst...
29 篇 school of inform...
28 篇 computer science...
27 篇 computer science...
27 篇 computer science...

作者

129 篇 bens pardamean
114 篇 pardamean bens
91 篇 gaol ford lumban
69 篇 warnars harco le...
67 篇 heryadi yaya
67 篇 suharjito
61 篇 meyliana
56 篇 yaya heryadi
56 篇 harco leslie hen...
56 篇 ford lumban gaol
52 篇 lukas
46 篇 girsang abba sug...
42 篇 prabowo harjanto
39 篇 abba suganda gir...
38 篇 utama ditdit nug...
38 篇 ditdit nugeraha ...
37 篇 yulyani arifin
36 篇 soewito benfano
35 篇 benfano soewito
32 篇 haryono soeparno

语言

1,277 篇 英文
50 篇 其他
3 篇 中文
1 篇 斯洛文尼亚文

检索条件"机构=BINUS Graduate Program-Doctor of Computer Science"

共 1330 条记录，以下是461-470 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：

Service Oriented Fuzzy Smart Model for Agriculture Investment of Hydroponic Green-Leaf Vegetable Plant

Service Oriented Fuzzy Smart Model for Agriculture Investmen...

引用

International Conference on ICT For Smart Society (ICISS)

作者： Ditdit Nugeraha Utama Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia

An integrated approach is necessary for implementing a model that involves multiple actors. One effective way to achieve this is through a service-oriented approach. The objective of the study was to develop a service-oriented fuzzy model, which combines the functional-structural plant modelling (FSPM) method for the plant computational model (PCM) and the fuzzy logic method for both PCM and the decision support model (DSM). This combined method aims to model the plant behaviour morphologically and propose investment decisions in agriculture, specifically for the hydroponic cultivation of Bok Choy, a green-leaf vegetable. The accuracy of the interconnected model application based on the service concept, known as the service-oriented fuzzy smart model (SOFSM), reached 94.33%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Object Oriented Fuzzy Decision Model for Insurance Claim

Object Oriented Fuzzy Decision Model for Insurance Claim

引用

International Conference on Computing, Engineering, and Design (ICCED)

作者： Sumiatie Susanto Ditdit Nugeraha Utama Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia

The insurance industry faces a significant challenge concerning insurance claims, particularly due to the prevalence of fraudulent insurance claims. To address this issue, one potential solution is the implementation of a computer-based decision model. This research presents a fuzzy decision model based on object-oriented method development. The study involves seven stages (i.e. case analyzing, parameter analyzing, objects-parameters linking, detail object relation constructing, parameter exchange analyzing, OOFDM constructing, and model verifying and validating), with an object-oriented approach serving as the foundational method for constructing the model, and fuzzy logic as the primary method for assessing claim risks in proposing the best decision. The model has the capability to simulate insurance claims and offers objective decisions based on 19,611 claims data, categorizing them into two decision categories: acceptance and pending.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Comparison of Spelling Error Correction Algorithms for the Indonesian Language

Comparison of Spelling Error Correction Algorithms for the I...

引用

Information and Education Technology (ICIET), International Conference on

作者： Yanfi Yanfi Reina Setiawan Haryono Soeparno Widodo Budiharto BINUS Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Computer Science School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

Edit distance as a string measurement metric is often used to help detect misspellings in languages. This paper aims to compare two string spelling error correction algorithms for the Indonesian language. The N-gram, Jaro-Winkler distance, and Levenshtein distance algorithms are used to determine whether they can accurately correct typological errors in the Indonesian language. Moreover, this study utilized KNIME tools to process the data from beginning to end. The data was retrieved from news in Indonesia. After the experiment on N from 1 to 12, the results obtained for the comparative analysis proved that Jaro-Winkler distance performed better than Levenshtein distance for comparing smaller strings like words and names. However, Levenshtein distance performs as well as Jaro-Winkler distance started from four strings. Finally, both Jaro-Winkler distance and Levenshtein distance algorithm got the best performance accuracy for eight strings with an accuracy of 99.52 percent. The result of this study is also presented that both algorithms can support word error correction for the Indonesian language.

关键词： Measurement Education Error correction

来源：评论

学校读者我要写书评

暂无评论

Abstractive Indonesian News Summarization Using BERT2GPT

Abstractive Indonesian News Summarization Using BERT2GPT

引用

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

作者： Maulin Nasari Ayu Maulina Abba Suganda Girsang Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia

This study examines the necessity of employing BERT2GPT for single-document summarization in the current age of escalating digital data. The primary focus of this work is on the abstractive technique, which tries to generate versatile summaries that surpass the primary sentences of the original content. This study employs two models, namely BERT and GPT -2, for the purpose of the summarization system. The paper introduces the BERT2GPT model, which merges the bidirectional characteristics of BERT with the generative powers of GPT. The findings indicate that the BERT2GPT method successfully catches significant information and linguistic nuances, hence enhancing the quality of the generated summaries. The corresponding average values for Rl, R2, and RL are 0.62, 0.56, and 0.60, respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Framework for Developing Smart City Models in Indonesian Cities (Based On Garuda Smart City Framework) 9

Framework for Developing Smart City Models in Indonesian Cit...

引用

9th International Conference on ICT for Smart Society, ICISS 2022

作者： Kurniawan, Bobi Supangkat, Suhono Lumban Gaol, Ford Ranti, Benny Faculty of Engineering and Computer Science Universitas Komputer Indonesia Bandung Indonesia Smart City and Community Innovation Center Bandung Institute of Technology Indonesia BINUS Graduate School-Doctor Computer Science Bina Nusantara University Computer Science Departemen Jakarta Indonesia

ISBN: (数字)9781665471350

ISBN: (纸本)9781665471350

Based on data from Kominfo, it is estimated that as many as 82.37% of the Indonesian population will live in cities by 2045. By looking at the data, you can imagine the impact of population growth on service quality, environmental impact, urban care, and the use of integrated technology. For this reason, it is very important to prepare a smart city that can integrate all the impacts of population growth that will be faced in 2045. Of the 25 cities that apply the smart city concept, they still experience obstacles such as smart cities that are difficult to understand, how to identify solutions from smart cities, and the absence of knowledge about the benefits of using smart cities for the region, this is because there is no understanding regarding key success factors and models for building smart city concepts. For this reason, in this study, we will provide an overview of key success factors and smart city models for cities in Indonesia. © 2022 IEEE.

关键词： Smart city

来源：评论

学校读者我要写书评

暂无评论

Perfomance Improvement of mpdCNN as Ensemble Learning Model on Low Resolution Image-Face Recognition System 8

Perfomance Improvement of mpdCNN as Ensemble Learning Model ...

引用

8th International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2025

作者： Wangean, Daniel Anando Suhartono, Derwin Bina Nusantara University Master of Computer Science Binus Graduate Program Jakarta Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798331520762

Low resolution image-face recognition system is one of the challenging aspects of face recognition models' development. From machine learning, deep learning, and into ensemble learning are implemented to develop face recognition models. Including mpdCNN that published by Mishra in a journal article. This mpdCNN already achieved 88.6% accuracy score on SCFace dataset while published. Based on literature review, ensemble learning model can be improved by modifying parallel layers. The purpose of this research is to improve mpdCNN's performance by implementing some modifications include adding parallel layers, alternating the fusion layers, expanding the layers, and adding residual connections. Some modifications were successfully improved mpdCNN's accuracy score. By adding parallel layers and residual connections into mpdCNN's architecture, the modified mpdCNN that proposed in this research achieved 92.33% accuracy score, measured by Rank-k evaluation metric. © 2025 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Cancer Classification in Imbalance Data Using Double Filtering Approach

Cancer Classification in Imbalance Data Using Double Filteri...

引用

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

作者： Almuzhidul Mujhid Jeffrey Junior Tedjasulaksana Nikita Ananda Putri Masaling Abba Suganda Girsang Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia

Cancer, also known as malignant neoplasm, is a complex and potentially fatal disease characterized by uncontrolled and abnormal cell growth in the body. The main problems with microarray cancer studies are the high curse of dimensionality and small sample size caused by redundant and irrelevant genes. To deal with the number of features that exceed the amount of data, this research purposed double filtering method Lasso-GA, Lasso is used to select the features based on feature correlation while Genetic Algorithm is used to optimize the most important features with accuracy traditional machine learning as its fitness function. The results show how effective the suggested method is; in breast cancer, the linear SVC model achieves excellent accuracy (0.93), precision (0.94), recall (0.94), and F1 score (0.94), while in lung cancer, the linear SVC, random forest, and logistic regression models perform well (accuracy: 0.95, precision: 0.92, recall: 1, F1 score: 0.95). Logistic regression is the most effective method for bladder cancer, with an accuracy of 0.82, precision of 0.77, recall of 1, and F1 score of 0.87.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Exploratory Computational Approach for Elucidating a Nonstructural Protein Interaction in Dengue Virus 2 9th

An Exploratory Computational Approach for Elucidating a Nons...

引用

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

作者： Hidayat, Alam Ahmad Nirwantono, Rudi Pardamean, Bens Mathematics Department School of Computer Science Bina Nusantara University 11480 Indonesia Biotechnology Department Faculty of Engineering Bina Nusantara University 11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia

As the dengue infection still impacts hundreds of millions of people globally, unprecedented efforts in dengue drug development have been more progressive in recent decades. Computational methods provide a fast, sustainable, and efficient screening of active compounds and newly created drug molecules, including those specifically targeting nonstructural proteins (NS) of dengue viruses. In this work, protein modeling for the NS proteins of DENV-2/16681 strain was performed using a template-based homology modeling for the NS3 protein and an Artificial Intelligence (AI)-based prediction via AlphaFold for the NS4B protein. Moreover, the protein-protein interaction between the two structures was predicted using the HADDOCK server, which employs information about active and passive residues of the interaction interface to guide the docking process. After the modeling and its respective refinement process, the predicted structures of NS3 and NS4B improved their steric clashing scoring from MolProbity assessment. The refined models were then docked, and the resulting docking pose was analyzed to extract the interacting residues based on the polar contacts within the interface of the two proteins. Our result presents a preliminary study to create a dataset related to in silico molecular interactions of the NS3-NS4B interaction of different DENV types. It is helpful for building a computational pipeline for elucidating protein-ligand problems in dengue drug screenings. © 2024 The Authors.

关键词： Molecular docking

来源：评论

学校读者我要写书评

暂无评论

Exploring the Effect of Activation Function on Transformer Model Performance for Official Announcement Translator from Indonesian to Sundanese Languages

Exploring the Effect of Activation Function on Transformer M...

引用

computer science, Information Technology and Engineering (ICCoSITE), International Conference on

作者： Bambang Dwi Wijanarko Dina Fitria Murad Yaya Heryadi Cuk Tho Kiyota Hashimoto Computer Science Department BINUS Online Learning Jakarta Indonesia Information Systems Department BINUS Online Learning Jakarta Indonesia Computer Science Department BINUS Graduate Program-Doctor of Computer Science Jakarta Indonesia Interdisciplinary Graduate School or Earth System Science and Andaman Natural Disaster Management Prince of Songkla University Phuket Campus Phuket Thailand

Automated language translation involving low-resource language has gained wide interest from many research communities in the past decade. One lesson learned from the past COVID-19 pandemic, particularly in Indonesia, is that many local Governments have to release regular public announcements to keep people following health protocol especially when they are in public areas. Many studies showed some evidence that rural people in Indonesia which covers a large proportion of Indonesia’s population, feel more convenience receiving official announcements in their local language. However, translating official announcement from the national language to many local languages in Indonesia require many experienced bilingual translators and time. This paper presents exploration results in developing an automated language translator model to translate texts in Bahasa Indonesia to the Sundanese language. In particular, this study aims to explore the effect of ReLU, Sigmoid, and Tanh activation functions of the Vanilla Transformer Model on its translation performance. The experiment results showed that the activation function under study gives similar training accuracy (0.98). However, ReLU achieves better performance than Tanh in terms of validation accuracy, training loss, and validation loss.

关键词： Training COVID-19 computer science Protocols Pandemics Local government Sociology

来源：评论

学校读者我要写书评

暂无评论

Service Oriented Fuzzy Decision Model for Health Insurance Claim

Service Oriented Fuzzy Decision Model for Health Insurance C...

引用

Advancement in Data science, E-learning and Information Systems (ICADEIS), International Conference on

作者： Ditdit Nugeraha Utama Sumiatie Susanto Computer Science Department BINUS Graduate Program Master of Computer Science Bina Nusantara University Jakarta Indonesia

Insurance claim is a fascinating issue to study. A potential loss for the insurance company is major coming from this issue. Thus, many studies performed already to answer such an issue. This study takes aim to develop a computational decision model based on service technology. Four fundamental methods operated in constructing the model and its implementation in service technology. The analytical hierarchical process (AHP) and fuzzy logic methods are two methods benefited to construct the model; where the AHP used to prioritize thirteen parameters considered and the fuzzy logic with its inference capability operated to generate the decision. Object oriented is an analysis and design method to analyze and design the model implanting it in service oriented architecture (SOA). Then, SOA conception functioned to deploy the model in the service architecture. Ultimately, the suggested framework comprising three layers of service-oriented architecture (SOA), namely business process, service interface, and application, has been established, alongside the integration of eight essential services that connect these three applications. The model demonstrates simulation outcomes indicating that 31.47% of claims are categorized as low risk and have been approved, 17.64% of claims are considered moderate risk with currently pending decision status (requiring additional investigation), while 50.89% of claims are classified as high risk with also pending decision status.

关键词：

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133页 << < 43 44 45 46 47 48 49 50 51 52 > >>

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：