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

3,076 篇 会议
793 篇 期刊文献

馆藏范围

3,869 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,798 篇 工学
- 1,565 篇 计算机科学与技术...
- 1,335 篇 软件工程
- 429 篇 信息与通信工程
- 222 篇 控制科学与工程
- 204 篇 生物工程
- 195 篇 电气工程
- 140 篇 生物医学工程（可授...
- 99 篇 网络空间安全
- 91 篇 安全科学与工程
- 88 篇 光学工程
- 76 篇 建筑学
- 74 篇 机械工程
- 73 篇 化学工程与技术
- 66 篇 环境科学与工程（可...
857 篇 理学
- 363 篇 数学
- 270 篇 物理学
- 236 篇 生物学
- 190 篇 统计学（可授理学、...
- 99 篇 系统科学
708 篇 管理学
- 430 篇 管理科学与工程(可...
- 379 篇 图书情报与档案管...
- 303 篇 工商管理
170 篇 医学
- 158 篇 临床医学
- 147 篇 基础医学(可授医学...
- 106 篇 公共卫生与预防医...
- 73 篇 药学(可授医学、理...
156 篇 法学
- 137 篇 社会学
142 篇 经济学
- 142 篇 应用经济学
92 篇 教育学
- 88 篇 教育学
71 篇 农学
- 63 篇 作物学
23 篇 文学
1 篇 军事学
1 篇 艺术学

主题

234 篇 accuracy
178 篇 deep learning
123 篇 training
113 篇 machine learning
113 篇 data models
109 篇 support vector m...
99 篇 predictive model...
95 篇 convolutional ne...
93 篇 sentiment analys...
89 篇 computational mo...
81 篇 augmented realit...
77 篇 social networkin...
72 篇 education
71 篇 testing
66 篇 artificial intel...
64 篇 technological in...
63 篇 students
62 篇 analytical model...
60 篇 random forests
56 篇 covid-19

机构

721 篇 computer science...
376 篇 computer science...
255 篇 school of comput...
191 篇 computer science...
166 篇 bina nusantara u...
101 篇 school of comput...
85 篇 bioinformatics a...
81 篇 bina nusantara u...
59 篇 computer science...
56 篇 information syst...
54 篇 school of comput...
54 篇 bioinformatics a...
53 篇 mathematics depa...
52 篇 computer science...
51 篇 computer science...
45 篇 mathematics depa...
45 篇 bioinformatics a...
42 篇 statistics depar...
42 篇 school of inform...
39 篇 statistics depar...

作者

130 篇 bens pardamean
119 篇 pardamean bens
107 篇 gaol ford lumban
91 篇 suhartono derwin
79 篇 derwin suhartono
76 篇 meyliana
76 篇 alexander agung ...
74 篇 warnars harco le...
72 篇 maulana fairuz i...
68 篇 suharjito
66 篇 heryadi yaya
65 篇 sasmoko
57 篇 harco leslie hen...
57 篇 ford lumban gaol
56 篇 anggreainy maria...
55 篇 andry chowanda
55 篇 gunawan alexande...
54 篇 prabowo harjanto
54 篇 fairuz iqbal mau...
54 篇 simeon yuda pras...

语言

3,584 篇 英文
282 篇 其他
5 篇 中文
1 篇 斯洛文尼亚文

检索条件"机构=Computer Science Program Computer Science Department School of Computer Science Bina Nusantara"

共 3869 条记录，以下是341-350 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：

Cyber Security in Smart Cities and Its Challenges: A Systematic Literature Review 3

Cyber Security in Smart Cities and Its Challenges: A Systema...

引用

3rd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2023

作者： Ruatta, Benedicto Theodore Piekarsa, Gabriel Jonatan Christian, Jeremia Edbert, Ivan Sebastian Gunawan, Alexander Agung Santoso School of Computer Science Bina Nusantara University Cyber Security Program Computer Science Department Jakarta11480 Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350327762

At this time, the development of information and communication technology has mostly been used maximally to improve the quality of life of citizens around the world. The benefits that are obtained make some cities evolve into smart cities in improving living standards and provide services in the health sector because it can control information technology and communication and cybersecurity challenges that are always evolving in every era. However, Behind the developments and benefits of it all, there are risks that cannot be avoided. Risk and these threats can be overcome through the national spectrum by implementing cybersecurity in the virtual world in developing the city into a smart city. Therefore, to respond to cybersecurity in smart cities, cybersecurity must evolve in the same direction, so that the strategy that has been formed will become the basis and reference in implementing cyber security in support of smart city development and the challenges that exist. This paper will outline the relationship between the two factors, the significance of cyber security for smart cities, how such cities can be attacked, and how to defend against such attacks. And after conducting the study, the authors reach the conclusion that in order for any smart cities to develop, flourish, and ensure that everyone living there is safe from any threat, cyber security is essential. © 2023 IEEE.

关键词： Cybersecurity

来源：评论

学校读者我要写书评

暂无评论

Security Implementation Againts a Server Using SonicWall 5

Security Implementation Againts a Server Using SonicWall

引用

5th International Conference on Cybernetics and Intelligent Systems, ICORIS 2023

作者： Santoso Gunawan, Alexander Agung Wicaksana, Brahmantyo Adianto Ady Wijaya, Alexandre Christian Adi Poernama, Alexander Robi Edbert, Ivan Sebastian Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University School of Computer Science Cyber Security Program Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350369489

Robust security measures are required for server environments due to the complexity and sophistication of cyber-attacks, which are on the rise. This study investigates the use of SonicWall Network Security Manager (NSM) to create security against a server. For the purpose of defending servers against various cyberthreats, NSM provides centralized management, real-time monitoring, and advanced analytics. The purpose of this study is to offer a thorough examination of SonicWall NSM's security features and gauge how well it protects server architecture. The studies in this paper involve configuring a number of ports on the SonicWall network software in order to preserve and enhance the security of each port. The experiment's findings demonstrate how UDP port security on SonicWall network gear may both safeguard and reveal threats to SonicWall logs. This finding offers options to corporate network specialists so that they can safeguard themselves against data theft for the advantage of both parties. © 2023 IEEE.

关键词： Network security

来源：评论

学校读者我要写书评

暂无评论

Question Classification of University Admission using Named-Entity Recognition (NER) 10

Question Classification of University Admission using Named-...

引用

10th International Conference on Information Technology, computer, and Electrical Engineering, ICITACEE 2023

作者： Yossy, Emny Harna Suhartono, Derwin Trisetyarso, Agung Budiharto, Widodo Bina Nusantara University Computer Science Department BINUS Graduate Program Computer Science Jakarta11480 Indonesia Bina Nusantara University Computer Science Department School of Computer Science Jakarta11480 Indonesia Bina Nusantara University Mathematics Department School of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9798350322729

The university admission process can be overwhelming for applicants and admission officers, with many questions being asked and answered every year. The manual classification of these questions can be time-consuming and may lead to errors, making exploring automated solutions to this problem essential. In recent years, advances in natural language processing (NLP), including question classification. The research proposes an architecture for a question classification system using the Indonesian Language in closed-domain question answering. The purpose of this research is to find out the classification of questions. We created a system with the Named-Entity Recognition method to recognize the next word that will be used as a candidate type of question and candidate answer. The type of question used is a factoid question. Research makes patterns and rules for extracting important words as features to determine the taxonomy of question classification. Datasets are collected from one private university in Indonesia. Data sources from Binus Online Learning websites and data on questions frequently asked by users, especially prospective students. The results of the question classification are presented using descriptive statistics. The results show that the question classification with users' most frequent question type is 'What' by 63.3%, and the answer category is 'tuition fees' by 22.4%. It can be concluded that the most frequent question type asked by users is 'What', and the most frequent topic of interest is 'tuition fees'. Organizations can use this information to improve customer service by providing more relevant information and resources about tuition fees. © 2023 IEEE.

关键词： Natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

AI and Leadership Moderator: Enhancing Work Engagement through Intelligent Experience and Sustainable Practices among Indonesian Employees 7

AI and Leadership Moderator: Enhancing Work Engagement throu...

引用

7th International Conference of computer and Informatics Engineering, IC2IE 2024

作者： Herlina, Maria Grace Iskandar, Karto Triana, Ika Bina Nusantara University Binus Business School Undergraduate Program Management Department Jakarta11480 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798331505530

Artificial intelligence (AI) integration in workplaces reshapes employee engagement and organisational performance. This study investigates the combined impact of AI experience and sustainable leadership on work engagement among Indonesian employees. Using a cross-sectional survey of 301 employees in Greater Jakarta, the research employs partial least squares structural equation modeling (PLS-SEM) to analyse the data. The study finds that while AI experience and sustainable leadership independently enhance work engagement, their interaction negatively affects it, highlighting the necessity for strategically aligning AI initiatives with sustainable leadership principles to optimise engagement. The methodology references several factors: validated AI experience items focusing on productivity and skill development, sustainable leadership items emphasising social and environmental responsibility, and work engagement items measuring enthusiasm and job satisfaction. The Rasch Model Analysis and person-measure analysis ensure the reliability and validity of these constructs. This study fills a significant gap in understanding the interaction between AI and leadership in enhancing work engagement, providing practical insights for managing technological and leadership dynamics in organisations. © 2024 IEEE.

关键词： artificial intelligence employees organizational learning sustainable leadership work engagement

来源：评论

学校读者我要写书评

暂无评论

LLM2Vec Sentence Embeddings Analysis in Sentiment Classification

LLM2Vec Sentence Embeddings Analysis in Sentiment Classifica...

引用

2024 IEEE International Conference on Data and Software Engineering, ICoDSE 2024

作者： Henry, Matthew Martianus Heryanto, Nur Adhianti Isnan, Mahmud Kurnianingrum, Dian Ratnapuri, Chyntia Ika Pardamean, Bens Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Entrepreneurship Department Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9798331506407

Sentiment analysis is crucial method in business intelligence to extract insights, which typically begin with sentiment classification. One of the latest frameworks for generating sentence embeddings for sentiment classification is LLM2Vec, which allows Transformer decoder-based models to generate sentence embeddings for text representation. Its capability is deemed language-agnostic, which, in this study, the framework is leveraged for Tokopedia tweet sentiment analysis to prove the claim. The base decoder models used in the LLM2Vec framework were Llama 3 8B, Llama 2 7B, Sheared Llama 1.3B, and Mistral 7B. Two BERT-based models, which are the Indonesian SBERT model and IndoBERT trained with the SimCSE approach, were employed as a comparison. The generated embeddings were classified using logistic regression, SVM, and MLP Classifier. Classifiers using embedding generated by LLM2Vec with Llama 3 8B and Mistral 7B achieves on-par performance with classifiers that utilize IndoBERT SimCSE embeddings, while classifiers using embeddings generated by LLM2Vec with Llama 2 7B and Sheared Llama 1.3B achieves much lower performance. Classifiers with Indonesian SBERT embeddings achieve the highest F1 score performance. Despite slightly lower performance, this study has proven the language-agnostic capability of LLM2Vec, especially with Llama 3 8B and Mistral 7B in colloquial Bahasa Indonesia sentiment analysis, since none of the base decoders were ever trained using the Bahasa Indonesia corpus. © 2024 IEEE.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

Ultimate Task Management and Collaboration Android-Based Application 4

Ultimate Task Management and Collaboration Android-Based App...

引用

4th International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2024

作者： Setiawan, Christiella Abinosy Lucky, Raymasterio Vera Tuwaidan, Renatha Dewi Sabrina Matthew, Steven Wijayanti, Vierdaria Purwandari, Kartika School of Computer Scince Bina Nusantara University Department of Computer Science Jakarta Indonesia

ISBN: (纸本)9798350378368

Time can be a measure of the success of a job or project. The existence of a schedule is useful to guide humans in making the best use of time and achieving predetermined goals. We design an application to assist users in managing work or tasks that must be done. This application allows users to create a list of tasks that must be completed and teams. Added team members can be used to create a shared task list. In this application, users can create a description for each task and set a deadline to complete it. The application will provide deadline reminder notifications to users via push notification so that users will not miss the deadline that has been set. With its features, this app is very useful for individuals or teams in managing their work or tasks and ensuring that each task is completed on time. © 2024 IEEE.

关键词： Unified Modeling Language

来源：评论

学校读者我要写书评

暂无评论

Indonesian Tweet Emotion Detection Using IndoBERT 9

Indonesian Tweet Emotion Detection Using IndoBERT

引用

9th International Conference on Information Management and Technology, ICIMTech 2024

作者： Masaling, Nikita Ananda Putri Siswanto, Ricky Reynardo Girsang, Abba Suganda Bina Nusantara University BINUS Graduate Program - Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350390025

This study investigates emotion detection on tweets written in the Indonesian language, using the IndoBERT model that has been trained for 50 epochs. The examination conducted in this study provides a comprehensive analysis of the performance dynamics shown by the model. The assessment results provide an accuracy score of 0.74, indicating the model's proficiency in identifying sentiments within the collection of tweets. By using assessment criteria such as accuracy, recall, and the F1-score, the model's comprehensive analytical ability is validated, emphasizing its effectiveness in deciphering various emotional circumstances. The accuracy, recall, and F1-score of the model, with average values of 0.79, 0.78, and 0.78 respectively, combined demonstrate its resilience in accurately capturing subtle emotional subtleties. This study enhances our comprehension of language model applications in the field of emotional intelligence by exploring the complexities of sentiment analysis. It emphasizes the practical value of these applications in real-world scenarios. © 2024 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

The Fuzzy-AHP Decision Model for Managing Smart City: An Object-Oriented Model for Bibliometric Based Literature Review 11

The Fuzzy-AHP Decision Model for Managing Smart City: An Obj...

引用

11th International Conference on ICT for Smart Society, ICISS 2024

作者： Utama, Ditdit Nugeraha Bina Nusantara University Binus Graduate Program - Master of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350389654

Operating a smart city is intricate and requires comprehensive management. Implementing a decision model is one effective and efficient method to address this complexity. This study seeks to systematically review articles to see the trends in the utilization of fuzzy logic methods and their combinations, particularly in a decision model that supports smart city operations. Through four stages, the study not only presents the bibliometric-based review findings to address specific inquiries but also produces an object-oriented model for review purposes. Based on 131 articles, the research trend indicates a linear growth in studies focusing on smart cities and decision models, with a particular emphasis on incorporating fuzzy logic models. Additionally, according to 9 deep-reviewed articles, the analytic hierarchy process (AHP) emerges as a popular method often combined with the fuzzy logic method. As well, the object-oriented model for review purposes is developed with 19 interrelated objects. It is the main contribution of the study. © 2024 IEEE.

关键词： Smart city

来源：评论

学校读者我要写书评

暂无评论

Identification of Clustering BRISK Keypoint Feature in Grocery Product Using the Elbow Method

Identification of Clustering BRISK Keypoint Feature in Groce...

引用

2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2024

作者： Rahmania, Rissa Anggreainy, Maria Susan Kartowisastro, Iman Herwidiana Budiharto, Widodo Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9798350353464

In smart retail, the problem in grocery product image classification is fine-grained image representation. Product variants are characterized by differences in color, text, and size. However, while the process of image classification involves quite complex stages, there is still a misclassification of grocery products. This is because there are many areas of the image being calculated, which makes the models not optimally calculate the most important area. This paper aims to identify a number of patch image formations as an important area of the product by involving binary Robust Invariant Scalable Keypoints (BRISK) as a feature descriptor, K-Means Clustering, and the elbow method. First, we experiment with the BRISK keypoint feature for grocery products with different categories of brands. Second, the keypoint features are clustered using K-Means clustering. Lastly, the number of clusters is analyzed using the elbow method to find the optimal number. The result shows that the number of clusters from 8 products has variations of 5, 5, and 6 clusters. Finally, each cluster represents an important area in forming patches to support fine-grained grocery product image classification. ©2024 IEEE.

关键词： K-means clustering

来源：评论

学校读者我要写书评

暂无评论

BERT and RoBERTa Models for Enhanced Detection of Depression in Social Media Text 9th

BERT and RoBERTa Models for Enhanced Detection of Depression...

引用

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

作者： Kurniadi, Felix Indra Paramita, Ni Luh Putu Satyaning Pradnya Sihotang, Erna Fransisca Angela Anggreainy, Maria Susan Zhang, Rongfang Computer Science Department School of Computer Science Bina Nusantara University Jakarta11530 Indonesia Statistic Department School of Computer Science Bina Nusantara University Jakarta11530 Indonesia Computer Science Department BINUS Graduate Program Bina Nusantara University Jakarta11530 Indonesia Department of Rehabilitation and Health Service University of North Texas United States

Depression is a disease that affects everyone, both young and old. This mental illness not only affects the surrounding environment but everyone. Depression is characterized by deep sadness, behavioral changes and many other actions that are risky for people. In this research we try to solve the problem of detecting depression using Natural Language Processing (NLP) approaches, these two methods are Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT Approach (RoBERTa), where these two methods are used to detect posts made in reddit. The dataset is taken from Kaggle. The results obtained found that the average use of BERT and RoBERTa resulted in a high accuracy value of around 98% and with a well balanced precision, recall and F1-Score ratio. This research shows that there is a possibility of using BERT and RoBERTa in depression detection. © 2024 The Authors.

关键词： BERT depression natural language processing RoBERTa

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387页 << < 31 32 33 34 35 36 37 38 39 40 > >>

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：