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531-540 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：

Iworkout : Lets Workout & Gain Your Nutrition 10

Iworkout : Lets Workout & Gain Your Nutrition

引用

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

作者： Hananto, Dion Osvaldo Sumarmo, Kelvin Rolandy, Vincent Kurniadi, Felix Indra Riccosan School of Computer Science Computer Science Department Bina Nusantara University Jakarta11530 Indonesia

ISBN: (纸本)9798350339543

Food is the primary source of energy required for optimal functioning and activity in our daily lives. Considering that individual nutritional requirements vary based on factors such as body size, weight, age, and activity level, ensuring a nutritious diet is essential for maintaining physical and mental health. Unfortunately, a substantial fraction of the population continues to be ignorant of healthy eating patterns and the essential nutrients in their diet. This, coupled with time constraints and a lack of motivation to carefully consider food choices, results in an unhealthy lifestyle. 'Iworkout' is a web application that seeks to assist users in adopting a healthier lifestyle in response to this problem. The platform provides individualized nutritional guidance and exercise recommendations based on an individual's body type. By utilizing this application, users can gain insight into the foods that best suit their needs and uncover exercises suited to their body type, empowering them to live healthier lives. © 2023 IEEE.

关键词： Nutrition

来源：评论

学校读者我要写书评

暂无评论

Comparing Age Estimation with CNN and EfficientNetV2B1 8

Comparing Age Estimation with CNN and EfficientNetV2B1

引用

8th International Conference on computer science and Computational Intelligence, ICCSCI 2023

作者： Christopher, Marco Vito Wahid, Abdul Nabiilah, Ghinaa Zain Rojali Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Age estimation from facial images is a challenging topic in computer vision since it can automatically label the human face with an exact age according to various physical or biological characteristics, such as facial structure, spots, and wrinkles. Additionally, it has substantial applications in many fields, including healthcare, security, entertainment, and education. There are a lot of techniques to estimate age, but the most popular one is the convolutional neural network (CNN), which offers high accuracy but needs a lot of training time and much more labeled data to achieve it. Another popular technique is transfer learning with feature extraction, which can provide higher accuracy with faster training time because it uses a pre-trained model rather than building one from scratch but has limited flexibility and a substantial risk of overfitting. Due to the advantages and disadvantages of both methods, this study analyzes and compares the effectiveness of transfer learning and CNN methods for age estimation from facial images. Using R-squared and RMSE as test metrics, the results show that the CNN method offers a better process and accuracy than the transfer learning method, with a higher R-squared value and a lower RMSE value. © 2023 The Authors. Published by Elsevier B.V.

关键词： age estimation convolutional neural network facial images transfer learning

来源：评论

学校读者我要写书评

暂无评论

A Logistic Regression Model using Pearson Correlation for Breast Cancer Classification 6

A Logistic Regression Model using Pearson Correlation for Br...

引用

6th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2023

作者： Anggreainy, Maria Susan Fitrianah, Devi Bina Nusantara University BINUS Graduiate Program Doctor of Computer Science Computer Science Department Jakarta11530 Indonesia Bina Nusantara University BINUS Graduiate Program Master of Computer Science Computer Science Department Jakarta11530 Indonesia

ISBN: (纸本)9798350358346

We conducted research to diagnose breast cancer by classifying malignant and benign tumors. Several machine learning algorithms are used for classification, including Logistic Regression, Decision Trees, and ANN. The aim of this research is to determine the comparison of the three algorithms that have the highest level of accuracy, as well as the parameters and methods for optimizing the training data process in breast cancer classification. This research uses a dataset from Breast Cancer Wisconsin with the Pearson correlation method as feature selection to optimize the dataset for preprocessing data with drop features that have a correlation of more than 0.95. The research results show that the Logistic Regression algorithm is the algorithm that achieves the highest level of accuracy of 97.368421%. © 2023 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Face Shape Classification Using Swin Transformer Model 8

Face Shape Classification Using Swin Transformer Model

引用

8th International Conference on computer science and Computational Intelligence, ICCSCI 2023

作者： Salim, Brigita Vanessa Chyntia Indrawan, Jason Orlando Hidayat, Jessica Matthew, Steven Mangkang, Tesalonika Abigail Eikwine Hasana, Silviya Permonangan, Ivan Halim Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Face shape classification plays a crucial role in various applications, including facial recognition and personalized beauty recommendations like hairstyles. In some cases, it is tricky to establish one's genuine facial shape, making it difficult to further process this information. This paper attempts to harness the advantages of the Swin Transformer to classify face shapes with higher accuracy. We also compared the test results with augmentation to evaluate the improvement. Our proposed method obtained 86.34% accuracy with augmentation, which is decent for further processing in various applications that require face shape recognition. © 2023 The Authors. Published by Elsevier B.V.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Detecting Potential Phishing Attacks on Twitter Using Transformers 3

Detecting Potential Phishing Attacks on Twitter Using Transf...

引用

3rd International Conference on Smart Cities, Automation and Intelligent Computing Systems, ICON-SONICS 2023

作者： Kustanto, Matthieau Vic Pratama, Hafizh Farhan Gumay, Aryaputra Ekalaya Pratama, Galih Dea Hasana, Silviya Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9781509062805

Phishing is a social engineering attack where criminals use URLs to deceive users to obtain their login credentials, and personal data, and get unauthorized access to a user's accounts or gadgets. Therefore, checking the legitimacy of URLs can play a big role in detecting phishing attacks. There are many methods that can achieve accurate phishing detection;the most popular method being machine learning and black-listing or white-listing approaches;leaving other methods like semantic analysis or deep learning approaches unexplored. This paper aims to propose a novel method capable of doing real-time detection and an open-source library that is a curated collection of models that is already made by and is available for everyone in the community. The novel transformers method consists of pre-trained transformers and a black-listing approach which will be combined to increase the efficiency and performance of detection before it can be used properly to classify phishing URLs on Twitter in real-time. This approach reached 97.9% accuracy using a balanced dataset, suggesting that transformers can be a powerful tool in counteracting phishing attacks. © 2023 IEEE.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Decision Tree and Support Vector Machine on Suicide Ideation Detection 8

A Comparative Analysis of Decision Tree and Support Vector M...

引用

8th International Conference on computer science and Computational Intelligence, ICCSCI 2023

作者： Santoso, Mario Sebastian Suryadi, Jovan Jonathan Marchellino, Kevin Nabiilah, Ghinaa Zain Rojali Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Suicide and self-harm are the most severe public health issues, especially in this modern era. On other side, the improvement of technology helps people can be easier to share their emotion in social media. This led us to think of making a Suicide Ideation Detection to prevent any potential suicide action being committed. Our aim for this research is to increase the capabilities of Decision Tree and Support Vector Machine algorithm, enhancing the performance of already existing research about suicide ideation detection with improved accuracy. By comparing DT and SVM, we hope we can develop a model that can effectively detect suicidal behavior, leading to a better prevention strategy, and minimizing the number of suicide attempts. The dataset used is from subreddit forums "SuicideWatch", "depression", and "teenagers". We discovered that SVM performs better than Decision Tree with an overall score of 91,89% whereas Decision Tree with an overall score of 81,47%. © 2023 The Authors. Published by Elsevier B.V.

关键词： Artificial Intelligence Decision Tree Suicide Ideation Detection Support Vector Machine

来源：评论

学校读者我要写书评

暂无评论

The Impact of Playing Multiplayer Online Battle Arena Video Games on the Enhancement of Computational Thinking Skills Among Students in Indonesia 6

The Impact of Playing Multiplayer Online Battle Arena Video ...

引用

6th International Conference on Information and Communications Technology, ICOIACT 2023

作者： Jumana, Athaillah Adhar Umboh, Josua Golden I. Ketut Dharma Wijaya, K. Gunawan, Alexander Agung Santoso Saputra, Karen Etania Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350315639

This research examines the impact of playing Multiplayer Online Battle Arena (MOBA) video games on computational thinking skills among Indonesian college students. Using a quantitative approach, structured and valid questionnaires were administered to collect data and explore the potential benefits of video games in education. The findings indicate that playing MOBA games is associated with enhanced computational thinking skills. Additionally, Participants recognized the positive influence of playing MOBA games on computational thinking, highlighting improved strategic thinking, decision-making, and team coordination as main benefits. These results contribute to the existing research on gaming and cognitive skills, underscoring the potential of MOBA games for fostering computational thinking abilities. Educators and program developers can utilize these insights to enhance teaching and learning methods by integrating video games. © 2023 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Analysis ChatGPT Potential: Transforming Software Development with AI Chat Bots

Analysis ChatGPT Potential: Transforming Software Developmen...

引用

2023 International Conference on Networking, Electrical Engineering, computer science, and Technology, IConNECT 2023

作者： Purwoko, Justine Winata Abdullah, Tegar Wijaya, Budiman Santoso Gunawan, Alexander Agung Saputra, Karen Etania Bina Nusantara University Computer Science Department School of Computer Science Jakarta11480 Indonesia

ISBN: (纸本)9798350331172

Artificial intelligence (AI) is a technology that is constantly evolving and is being applied more frequently in many facets of society, including product and service development. Chatbots, which are computer programs that can connect with people through chat or voice apps, are one sort of AI that is evolving quickly. However, there is still much debate among scientists and professionals about whether AI advancements like ChatGPT can help software engineers with their daily tasks or even replace the work of software engineers. So, on this occasion, we conduct research on whether AI (artificial intelligence) is capable of helping software engineers and how far AI can assist software engineers. In this study, we aim to evaluate the effectiveness of ChatGPT as an AI tool for code retrieval and its potential to help or replace software engineers. Our research methodology involves using ChatGPT to refactor provided code and make a simple application from scratch. The results of this research show that AI chatbot models like ChatGPT cannot replace software developers 100 © 2023 IEEE.

关键词： Engineers

来源：评论

学校读者我要写书评

暂无评论

Intelligent Monitoring and Diagnosing Capability in Healthcare: Systematic Literature Review 8

Intelligent Monitoring and Diagnosing Capability in Healthca...

引用

8th International Conference on Information Management and Technology, ICIMTech 2023

作者： Aryawibowo, Pradanajati Hidayanto, Alvian Faiz Toemali, Yeremia Marcellius Anderies Setiawan, Karli Eka Gunawan, Alexander Agung Santoso School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350326093

Recently, Artificial Intelligence (AI) development has become more advanced and has been extensively used in various kinds of necessities in healthcare, supporting medical workers in many cases. AI can be used for monitoring and diagnosing because of the AI's ability to find solutions by using patterns that have been trained from datasets. Thus, this research reviewed the related research papers about AI role in the healthcare field, which focused on monitoring and diagnosing diseases. This study collected many relevant studies from various academic database sources, such as Google Scholar, Springer, IEEE Xplore, PubMed, Semantic Scholar, and Scopus Elsevier by using PRISMA 2009 (Preferred Reporting Items of Systematic reviews and Meta-Analyses) guidance. Our review discovered that AI can be helpful in certain areas of expertise, such as infectious disease using algorithms such as neural networks, fuzzy clustering networks, and Naïve Bayesian network;cancer using algorithms such as SVM, regression, and random forest classifier;COVID-19 using algorithms such as Naïve Bayesian Network, 3D CNN segmentation models, and ResNet-based models;and other diseases. In this review, the implementation of AI in healthcare brings both benefits and drawbacks. From the benefits side, AI can be very impactful by enhancing patient treatment and reducing costs. Meanwhile, on the downside, AI has some problems, such as a lack of information that makes the AI model not represent the real data. Because of that, AI will not replace medical workers in five years but only fill the role of support for them in monitoring and diagnosing, allowing them to concentrate on the most critical areas. Based on result analysis, assorted needs appear to exist to upgrade the implementation of AI in the healthcare field to support human health resources. This research suggests that AI researchers should be focused on specific fields in the healthcare field, especially in the diagnosing and monitoring field

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

Traffic Congestion Classification Using Convolutional Neural Networks: A Simplified Approach to Traffic Management 6

Traffic Congestion Classification Using Convolutional Neural...

引用

6th International Conference on Information and Communications Technology, ICOIACT 2023

作者： Danendra, Alfito Devin Kaurow, Joaquin Ezra Osvaldo, Nelson Pratama, Galih Dea Hasana, Silviya Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798350315639

With the widespread success of the automotive industry;one major issue that developing countries like Indonesia face is traffic congestion. This problem amplifies many issues in modern society including traffic accidents, air pollution, and also economic development. Traditional traffic management approaches have proven to be insufficient in addressing these challenges effectively. Therefore, this paper proposes a novel approach for traffic management using object detection with Convolutional Neural Network (CNN). The paper presents an insightful visualization of class occurrences, highlighting the distribution of congested and uncongested traffic images across train, test, and validation datasets. Through data augmentation techniques and hyperparameter tuning using a Keras tuner, the CNN model is further enhanced, resulting in improved performance. The retrained model achieves a high accuracy level of 95.92% on the test dataset, consolidating its effectiveness in traffic management. This research offers a promising solution to alleviate traffic congestion. © 2023 IEEE.

关键词： Convolutional neural networks

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 << < 50 51 52 53 54 55 56 57 58 59 > >>

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：