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

2,662 篇 会议
1,366 篇 期刊文献
69 册 图书

馆藏范围

4,097 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,511 篇 工学
- 1,974 篇 计算机科学与技术...
- 1,650 篇 软件工程
- 488 篇 信息与通信工程
- 366 篇 控制科学与工程
- 275 篇 生物工程
- 225 篇 电气工程
- 211 篇 生物医学工程（可授...
- 195 篇 机械工程
- 167 篇 电子科学与技术（可...
- 152 篇 光学工程
- 96 篇 仪器科学与技术
- 95 篇 化学工程与技术
- 95 篇 安全科学与工程
- 87 篇 交通运输工程
- 81 篇 动力工程及工程热...
1,195 篇 理学
- 646 篇 数学
- 318 篇 物理学
- 311 篇 生物学
- 192 篇 统计学（可授理学、...
- 160 篇 系统科学
- 93 篇 化学
817 篇 管理学
- 508 篇 管理科学与工程(可...
- 332 篇 图书情报与档案管...
- 248 篇 工商管理
211 篇 医学
- 177 篇 临床医学
- 152 篇 基础医学(可授医学...
- 92 篇 药学(可授医学、理...
- 84 篇 公共卫生与预防医...
127 篇 法学
- 101 篇 社会学
80 篇 经济学
- 80 篇 应用经济学
76 篇 教育学
41 篇 农学
26 篇 文学
12 篇 军事学
6 篇 艺术学
3 篇 哲学
1 篇 历史学

主题

147 篇 software enginee...
103 篇 computer science
98 篇 machine learning
92 篇 deep learning
87 篇 feature extracti...
83 篇 computational mo...
82 篇 software
82 篇 accuracy
78 篇 artificial intel...
72 篇 training
65 篇 optimization
63 篇 data mining
54 篇 predictive model...
53 篇 semantics
51 篇 security
46 篇 support vector m...
45 篇 software testing
44 篇 internet of thin...
44 篇 information tech...
44 篇 testing

机构

45 篇 college of compu...
41 篇 faculty of compu...
37 篇 department of so...
37 篇 faculty of softw...
27 篇 department of so...
23 篇 state key labora...
22 篇 school of comput...
21 篇 department of co...
19 篇 faculty of compu...
19 篇 gik institute of...
19 篇 university of eu...
19 篇 dept. of technol...
17 篇 faculty of compu...
16 篇 department of in...
16 篇 universiti malay...
15 篇 school of comput...
15 篇 huaiyin institut...
15 篇 national key lab...
15 篇 state key labora...
15 篇 faculty of compu...

作者

37 篇 tao dacheng
28 篇 herawan tutut
28 篇 quanyin zhu
23 篇 tutut herawan
23 篇 zamli kamal z.
21 篇 noraziah ahmad
20 篇 ali raja hashim
20 篇 raja hashim ali
19 篇 jasni mohamad za...
18 篇 muhammad adnan k...
17 篇 noraziah a.
16 篇 muhammad waseem ...
16 篇 usama arshad
16 篇 arshad usama
16 篇 zain jasni moham...
15 篇 a. noraziah
15 篇 rahnamayan shahr...
15 篇 selamat ali
15 篇 du bo
15 篇 siew hock ow

语言

3,874 篇 英文
189 篇 其他
30 篇 中文
3 篇 土耳其文
2 篇 日文
1 篇 阿拉伯文
1 篇 德文

检索条件"机构=Faculty of Computer and Software Engineering"

共 4097 条记录，以下是1001-1010 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：

A Travelling Recommendation System based on Knowledge Graph

A Travelling Recommendation System based on Knowledge Graph

引用

Science and Technology Innovation (IAECST), International Academic Exchange Conference on

作者： G. R. Dai J. Y. Xu H. Zhou L. Zhou Z. H. Cao M. D. Zhu Faculty of Computer and Software Engineering Huaiyin Institute Of Technology

ISBN: (纸本)9781665402682

In recent years, the improvement of people’s live standard lead to an increasing demand for travelling, but the information on scenic spots on the Internet is ponderous and the accuracy of scenic spot recommendations is not high. This study aims to solve these problems to realize a more accurate scenic spot recommendation for self-drivings and provide a better visualization of recommendation results. A recommendation model based on the Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation (MKR) algorithm is designed in this study. Then, based on this model, an intelligent knowledge graph based recommendation system for scenic spots is constructed. Rich unstructured text data of scenic spots in major scenic spot websites are crawled using Selenium and are stored and managed by the neo4j graph database. Through experimental simulation, the recommendation accuracy can reach over 84%. Compared to the Propagating User Preferences on the Knowledge Graph for Recommender Systems (RippleNet), the accuracy rate is enhanced by 6.2%.

关键词： Representation learning Technological innovation Databases Data visualization Multitasking Selenium Internet

来源：评论

学校读者我要写书评

暂无评论

Campus safety monitoring system based on deep learning

Campus safety monitoring system based on deep learning

引用

第二十届分布式计算及其应用国际学术研讨会

作者： Qianying Zhang Jin Hang Boxuan Zhang Mengzhong Wei Quanyin Zhu Xiang Li Faculty of Computer & Software Engineering Huaiyin Institute of Technology

In view of the safety hazards existing on campus,a campus safety detection system based on deep learning behavior recognition,license plate recognition and speed detection is proposed and *** design divides the campus safety monitoring system into three functional modules:hazard behavior identification,license plate tracking and vehicle speed measurement,and on this basis,designs the database of storage information and the warning system of speed too fast to realize the monitoring function of campus safety.

关键词： Deep learning Campus safety Behavior recognition

来源：评论

学校读者我要写书评

暂无评论

On Understanding Sports–HAR: Hierarchical, Mobile, Multi-Sensor based Classification of Table–Tennis Strokes

On Understanding Sports–HAR: Hierarchical, Mobile, Multi-Se...

引用

Intelligent Methods, Systems, and Applications (IMSA)

作者： Mustafa Ezzeldin Amr S. Ghoneim Laila Abdelhamid Ayman Atia Faculty of Computers and AI Software Engineering Helwan University Cairo Egypt Faculty of Computers and AI Computer Science Helwan University Cairo Egypt Faculty of Computers and AI Information Systems Helwan University Cairo Egypt HCI-LAB Faculty of Computers and AI Computer Science Helwan Univeristy Cairo Egypt Faculty of Computer Science October University for Modern Sciences and Arts (MSA) Giza Egypt

Table Tennis is a renowned competitive and recreational sport. An Olympic sport since 1988, table tennis in-cludes several movements, shots (i.e., strokes), and positions. Consequently, many factors can affect the strokes’ accuracy and strength. This paper aims twofold: to classify the type of shot and to enhance the performance of the classification by improving the recognition accuracy and reducing the computational time. To track the movement of the body parts and extract table tennis stroke information, sensors (both Accelerometers and Gyroscopes) were utilized. The extracted data are processed and passed to a P–Dollar classifier to recognize six different table tennis strokes. This work utilizes two classification approaches to evaluate the performance, both linear and hierarchical. The presented results demonstrate that the hierarchical classification yields a better accuracy of 88%, achieved in 4 seconds, while traditional linear classification achieved 83% within 6 seconds.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evaluating Actors' Performance Using Machine Learning for Gesture Classification

Evaluating Actors' Performance Using Machine Learning for Ge...

引用

Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), International

作者： Hossam Ahmed Omar Amr Ayman Atia Software Engineering Department October University for Modern Sciences and Arts (MSA) Cairo Egypt HCI-LAB Faculty of Computers and Artificial Intelligence Helwan University Giza Egypt Faculty of Computer Science October University for Modern Sciences and Arts (MSA) Giza Egypt

ISBN: (数字)9798350367775

ISBN: (纸本)9798350367782

In the context of advancing technologies in the entertainment industry, this study explores the utilization of machine learning (ML) for assessing actors' performances. The integration of technology in that industry is limited. The methodology encompasses acquiring performance ratings from the model to recognize predefined criteria. These ratings are then subjected to comparative analysis to gauge the system's effectiveness. The system showed 83.2% accuracy using MediaPipe to extract the positions of body part points for each gesture. Then, using One Dollar Py library, positive, mediocre, and negative models are developed using the patterns extracted from MediaPipe. We benchmarked the system against an assessment by a professional director. This work suggests a pathway to the use of Machine Learning tools in the industry and could be viewed as an innovative method for automating performance assessment with real-world applications that extend across the film-making process.

关键词： Accuracy Entertainment industry Machine learning Benchmark testing Activity recognition Ubiquitous computing Libraries

来源：评论

学校读者我要写书评

暂无评论

Multimodal Fusion for Enhanced Parkinson's Disease Screening: Integrating Brain MRI, Hand Drawing, Facial Expressions, and Voice Analysis

Multimodal Fusion for Enhanced Parkinson's Disease Screening...

引用

Advancements in Computing (ICAC), International Conference on

作者： Naveen Warnakulasuriya Shalinika De Silva Janani Madushika Sadali Gamage Sanath Jayawardena Anuradha Karunasena Department of Information Technology Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Computer Science and Software Engineering Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Computer Systems Engineering Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

Parkinson's disease (PD) profoundly impacts millions in Sri Lanka, emphasizing the importance of early detection for better patient outcomes. We introduce “NeuraTrace PD,” an innovative application for early PD screening, combining brain MRI, hand-drawn image analysis, facial expression assessment, and voice analysis. For brain MRI analysis, we employed a Graph Convolutional Network (GCN), achieving an impressive accuracy of 91% and identifying distinct graph connectivity patterns using graph theory. We also use a deep Convolutional Neural Network (CNN) to reach 90% accuracy in analyzing hand-drawn images, while optimizing image resolution for efficiency and information retention. Facial expression analysis is a vital component, leveraging CNN and Constrained Local Models (CLM) to accurately extract Facial Action Units (FAUs), which contribute to a remarkable 95% accuracy using the XGBoost machine learning model. We introduce a Machine Learning (ML) algorithm and advanced signal processing to enhance voice feature analysis, offering a thorough understanding and classification of PD patients. It reaches 99% accuracy. In summary, our approach holds significant promise for advancing early PD diagnosis, ultimately improving the quality of life for those affected by this challenging condition.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Consumer and Farmer Centric Subscription Based Organic Vegetable/Fruit Delivery System 3

Consumer and Farmer Centric Subscription Based Organic Veget...

引用

3rd International Conference on Advancements in Computing, ICAC 2021

作者： Karunarathna, T.M.N.P. Kumari, M.M.A. Kulasinghe, W.D.K.A. Parana Liyanage, T.L. Kodagoda, Nuwan Suriyanwsa, Kushnara Kumari, Disna Sri Lanka Institute of Information Technology Faculty of Computing Department of Computer Science and Software Engineering Malabe Sri Lanka Kings Hospital Colombo Sri Lanka

ISBN: (纸本)9781665408622

For centuries, the economy of Sri Lanka has been backed by the agricultural sector. Even though it has contributed to the development of the nation on a large scale, the economies and living standards of the farmers have not been improved much. Most of the farmers remain poor mainly due to not knowing the market demand and the low buying prices of the middleman. Meanwhile, the consumers in Sri Lanka are buying non-organic vegetables and fruits which are highly contaminated with dangerous chemicals which in turn has contributed to the rapidly increasing non-communicable disease rates in both consumers and farmers. The proposed system is an attempt to solve these problems faced by both farmers and consumers by reducing the farmers-consumer knowledge gap and providing consumers a trustworthy and personalized subscription for organic vegetables/fruits with a donation platform. © 2021 IEEE.

关键词： Crops

来源：评论

学校读者我要写书评

暂无评论

Designing a Model for Predicting Asthma in Adolescent Using Map Reduce and Federated Learning

Designing a Model for Predicting Asthma in Adolescent Using ...

引用

Science, engineering and Business for Sustainable Development Goals (SEB-SDG), International Conference on

作者： Raphael Henshaw Ekpo Victor Chukwudi Osamor Ambrose A. Azeta Kayode Akindeji Adeyinka Elizabeth Orelaja Department of Computer and Information Sciences Covenant University Ota Ogun State Nigeria Department of Software Engineering Namibia University of Science and Technology Windhoek Namibia Department of Electrical Power Engineering Faculty of Engineering and The Built Environment Durban University of Technology South Africa Department of Computer Science and Quantitative Methods Clarksville Tennesse U.S.A

ISBN: (数字)9798350358155

ISBN: (纸本)9798350358162

This study aims at designing Map Reduce and federated learning-based asthma prediction model for adolescent to provide answers to the problems associated with the existing asthma prediction model for adolescent. This study leveraged on two diverse datasets: the Nigerian Hospital Asthma dataset and the National Survey of Children Health dataset for benchmarking purposes. Symmetrical uncertainty and normalization interaction were employed for feature selection. The model was trained using Federated Artificial Intelligence (AI) Technology Enabler (FATE) and complemented with XGBoost model and one central server for federated algorithm averaging. The study was implemented with python programming language on Google Collaboratory environment. The results of the analysis showed considerable high accuracy of 0.98, precision (0.98%), recall (0.98%) and F1-socre (0.99%) for the asthmatic class and precision of 0.98%, recall of 0.98%, as well as F1-score of 0.99% for the non-asthmatic class. The implemented model was benchmark with the existing asthma prediction models in the literature. Simulated attack was also performed using implemented model with and without Map Reduce. This study concludes that the researchers’ model has the potentials to outperform some of the existing machine learning models on asthma prediction in adolescent, thereby facilitating collaborative sharing of the model with other hospitals, protect the patient information from leakage, meeting the criteria of healthcare data protection regulation as well as beneficial for enhancing the security of the dataset.

关键词： Surveys Pediatrics Hospitals Computational modeling Predictive models Benchmark testing Data models

来源：评论

学校读者我要写书评

暂无评论

Cybersecurity Threats in the Era of AI: Detection of Phishing Domains Through Classification Rules 2

Cybersecurity Threats in the Era of AI: Detection of Phishin...

引用

2nd International engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Aljaidi, Mohammad Alsarhan, Ayoub Al-Fraihat, Dimah Al-Arjan, Ahmed Igried, Bashar El-Salhi, Subhieh M. Khalid, Muhammad Al-Na'amneh, Qais Zarqa University Faculty of Information Technology Department of Computer Science Zarqa13110 Jordan The Hashemite University Department of Information Technology Jordan Isra University Faculty of Information Technology Department of Software Engineering Amman11622 Jordan The Hashemite University Faculty of Prince AL-Hussein Bin Abdullah Ii of Information Technology Department of Information Technology Jordan The Hashemite University Department of Computer Science and Applications Zarqa Jordan The Hashemite University P. O Box 330127 Zarqa13133 Jordan University of Hull Department of Computer Sciences and Technology Kingston upon Hull United Kingdom Applied Science Private University Dep. of Cyber Security Amman Jordan

ISBN: (纸本)9798350373363

Phishing is a cyber threat where attackers create deceptive websites or emails to exploit individuals for fraudulent purposes such as providing sensitive information like usernames, passwords, or financial details. Hence, detecting phishing emails is of paramount importance to protect sensitive information, preventing financial losses, protecting against identity theft, and maintaining trust. This study employs machine learning techniques to classify and categorize websites that are used for phishing attacks. To achieve this, we proposed a classification model for the detection of phishing domains based on classification rules. These rules were formulated based on analyzing and distributing them into three classifiers: domain name features, search engine opinion (SEO) information of the domain, and security scans by security vendors. A total of eleven classification rules were formulated which were distributed as follows: six rules for the first classifier, four rules for the second classifier, and one rule for the third classifier. Each classifier feeds its results to the main classifier, which then evaluates the received results based on its rules. Domain names from 222 confirmed phishing URLs were used to test the suggested model. The model demonstrated exceptional performance, achieving an impressive accuracy rate of 99.1% during testing. © 2023 IEEE.

关键词： Websites

来源：评论

学校读者我要写书评

暂无评论

Classroom monitoring system based on facial expression recognition

Classroom monitoring system based on facial expression recog...

引用

第二十届分布式计算及其应用国际学术研讨会

作者： Boxuan Zhang DANDan Wei Qianying Zhang Wenyu Si Xiang Li Quanyin Zhu Faculty of Computer & Software Engineering Huaiyin Institute of Technology

Facial expressions are important information that reflects human *** dynamic expressions of students in class,8 kinds of emotions are selected for application:positive emotions: "happy";negative emotions: "disgust,Sadness,doubts,contempt,anger";neutral emotion: "focus,surprise". In this design,the classroom performance scoring system in normal hours is split into four functions:wireless network list acquisition and verification,face recognition,emotion analysis,and scoring record *** this basis,SVM and Softmax are *** expression recognition and a data storage database is designed to realize the function of an intelligent scoring system for classroom performance *** solve this problem,an expression recognition method combining pyramid convolutional neural network and attention mechanism is proposed.

关键词： component facial expression recognition pyramid convolution attention mechanism

来源：评论

学校读者我要写书评

暂无评论

User centric explanations: A breakthrough for explainable models

User centric explanations: A breakthrough for explainable mo...

引用

2021 International Conference on Information Technology, ICIT 2021

作者： Hassan, Ali Abdulhak, Mansoor Abdullateef Abdulgabber Sulaiman, Riza Bin Kahtan, Hasan Bangi Malaysia Consultant Researcher Madinah Saudi Arabia Universiti Malaya Faculty of Computer Science and Information Technology Department of Software Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9781665428705

Thanks to recent developments in explainable Deep Learning models, researchers have shown that these models can be incredibly successful and provide encouraging results. However, a lack of model interpretability can hinder the efficient implementation of Deep Learning models in real-world applications. This has encouraged researchers to develop and design a large number of algorithms to support transparency. Although studies have raised awareness of the importance of explainable artificial intelligence, the question of how to solve the needs of real users to understand artificial intelligence remains unanswered. In this paper, we provide an overview of the current state of the research field at Human-Centered Machine Learning and new methods for user-centric explanations for deep learning models. Furthermore, we outline future directions for interpretable machine learning and discuss the challenges facing this research field, as well as the importance and motivation behind developing user-centric explanations for Deep Learning models. © 2021 IEEE.

关键词： Deep 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410页 << < 97 98 99 100 101 102 103 104 105 106 > >>

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：