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

2,086 篇 会议
9 册 图书
6 篇 期刊文献

馆藏范围

2,101 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,352 篇 工学
- 1,054 篇 计算机科学与技术...
- 863 篇 软件工程
- 478 篇 信息与通信工程
- 293 篇 控制科学与工程
- 282 篇 生物工程
- 210 篇 电气工程
- 155 篇 网络空间安全
- 141 篇 光学工程
- 139 篇 生物医学工程（可授...
- 133 篇 电子科学与技术（可...
- 126 篇 仪器科学与技术
- 126 篇 安全科学与工程
- 91 篇 机械工程
- 85 篇 化学工程与技术
- 81 篇 动力工程及工程热...
- 74 篇 材料科学与工程（可...
- 68 篇 交通运输工程
764 篇 理学
- 325 篇 数学
- 298 篇 生物学
- 194 篇 物理学
- 143 篇 化学
- 106 篇 统计学（可授理学、...
355 篇 管理学
- 222 篇 管理科学与工程(可...
- 155 篇 图书情报与档案管...
- 89 篇 工商管理
153 篇 医学
- 128 篇 临床医学
- 126 篇 基础医学(可授医学...
- 84 篇 药学(可授医学、理...
- 77 篇 公共卫生与预防医...
71 篇 法学
- 60 篇 社会学
42 篇 农学
36 篇 经济学
23 篇 教育学
6 篇 军事学
1 篇 文学

主题

94 篇 object detection
70 篇 artificial intel...
52 篇 deep learning
48 篇 machine learning
41 篇 internet of thin...
37 篇 feature extracti...
30 篇 intrusion detect...
26 篇 support vector m...
25 篇 anomaly detectio...
25 篇 fault detection
24 篇 face recognition
24 篇 computer vision
21 篇 convolutional ne...
16 篇 convolution
14 篇 image processing
13 篇 real-time system...
12 篇 covid-19
12 篇 network security
12 篇 diseases
10 篇 cameras

机构

38 篇 maharishi school...
34 篇 national univers...
32 篇 the islamic univ...
31 篇 school of comput...
30 篇 uttaranchal inst...
29 篇 chitkara univers...
28 篇 centre of interd...
26 篇 lovely professio...
26 篇 department of ar...
21 篇 uttaranchal univ...
20 篇 vishwakarma inst...
19 篇 college of intel...
18 篇 sr university sc...
16 篇 college of pharm...
15 篇 department of co...
13 篇 school of comput...
13 篇 school of comput...
12 篇 school of comput...
11 篇 school of comput...
11 篇 department of el...

作者

12 篇 rajesh singh
11 篇 singh rajesh
10 篇 malik bader alaz...
8 篇 mohit tiwari
7 篇 joshi kapil
7 篇 yifeng niu
7 篇 kapil joshi
7 篇 wenxing fu
7 篇 gehlot anita
7 篇 mancang gu
7 篇 alazzam malik ba...
7 篇 kumar bura vijay
7 篇 yi qu
7 篇 tiwari mohit
7 篇 anita gehlot
6 篇 alfurhood badria...
6 篇 malik praveen ku...
6 篇 bura vijay kumar
6 篇 chauhan rahul
6 篇 badria sulaiman ...

语言

1,071 篇 英文
1,030 篇 其他
26 篇 中文

检索条件"任意字段=2023 3rd International Conference on Detection Technology and Intelligence System, DTIS 2023"

共 2101 条记录，以下是961-970 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：

Design and Implementation of an IoT-based AI Surveillance Car with Obstacle detection, Line Following, and Live Streaming 3

Design and Implementation of an IoT-based AI Surveillance Ca...

引用

3rd international conference on Secure Cyber Computing and Communications, ICSCCC 2023

作者： Ali, Arbab Kaur, Kuldeep Ain, Noor Ul Kumar Shukla, Abhishek Ludhiana India Gulzar Group of Institutions Computer Science Ludhiana India Ludhiana India

ISBN: (纸本)9798350300710

The research paper presents the design and implementation of an AI Surveillance car that can perform object detection, line following, and live streaming. The proposed system is based on Internet of Things (IoT) technology, which allows the car to be remotely controlled and monitored. The car's capabilities include real-time object detection, which enables it to detect and track objects in its surroundings, line following, which allows it to follow a predefined path, and live streaming, which provides remote access to the car's camera feed. The results show that the proposed system can accurately detect obstacles and follow lines, while also providing high-quality live-streaming capabilities. Overall, the research provides a comprehensive and practical approach to designing an AI Surveillance car using IoT technology. © 2023 IEEE.

关键词： Ultrasonic applications

来源：评论

学校读者我要写书评

暂无评论

Design of Electric Power monitoring and early warning system Based on Beidou 3

Design of Electric Power monitoring and early warning System...

引用

3rd international conference on Sensors and Information technology (ICSI)

作者： Liu, Xiaohong Guan, Weimin Li, Donghua Xun, Sichao Zhang, Guomin Xu, Feng Yancheng Power Supply Co State Grid Yancheng Jiangsu Peoples R China Nanjing Inst Technol Line Elect Power Coll Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781510666122;9781510666139

This paper is based on GIS technology, through access to multi-source meteorological data, meteorological information, geographic information, and power grid equipment combined with correlation analysis, thus designed the power grid meteorological disaster warning information release system, realize the state grid disaster warning, statistical analysis, model, archives, professional maintenance, industry maintenance part of six power grid disaster warning information monitoring. The system can display all kinds of power disaster data information graphically, and realize the forecast and early warning of power disasters. The field experiment effect shows that the power grid meteorological disaster warning information system can provide professional meteorological warning support for realizing the fine management of the power grid and improving the disaster prevention capacity of the power grid.

关键词： early warning risk detection line galloping platform control

来源：评论

学校读者我要写书评

暂无评论

Design of a Low-Cost IoT-Based Wearable system for Cardiovascular Disease detection and Monitoring in Rwanda 3

Design of a Low-Cost IoT-Based Wearable System for Cardiovas...

引用

3rd IEEE international conference on Signal, Control and Communication, SCC 2023

作者： Sumwiza, Kellen Twizere, Celestin Rushingabigwi, Gerard Bakunzibake, Pierre Ishengoma, Farian S. African Center of Excellence in the Internet of Things College of Science and Technology University of Rwanda Kigali Rwanda East African Center of Excellence in Biomedical Engineering E-Health University of Rwanda Kigali Rwanda University of Rwanda Department of Electrical and Electronics Kigali Rwanda Sokoine University of Agriculture Department of Informatics and Information Technology Morogoro Tanzania United Republic of

ISBN: (纸本)9798350326390

This paper addresses the problem of inadequate and costly cardiovascular disease monitoring in low-and middle-income countries, such as Rwanda. The proposed solution is an innovative, low-cost Internet of Things-based wearable system that enables non-invasive monitoring of patients' health. This wearable sensor device measures heart rate, blood pressure, and blood oxygen saturation levels, providing real-time data through wireless transmission to a mobile application, which is further sent over WiFi for storage. When the data deviates from predefined thresholds, it triggers real-time alerts, connecting patients with the appropriate medical support. The system's primary objectives are to enhance affordability, accessibility, and energy efficiency while reducing treatment delays for cardiac patients. This technology has the potential to make a significant impact on healthcare in low- and middle-income nations by offering real-time, cost-effective care in patients' homes. The hardware components, including an OLED 0.93 display module, Arduino (NODE MCU V3) as the central processing unit, and the MAX30102 sensor, provide accurate data at a total cost of approximately 23.11. © 2023 IEEE.

关键词： Blood pressure

来源：评论

学校读者我要写书评

暂无评论

Unveiling the Best Edge detection Algorithm for Brain Magnetic Resonance Imaging: A Qualitative and Quantitative Comparative Study 3rd

Unveiling the Best Edge Detection Algorithm for Brain Magnet...

引用

3rd international conference on Machine Vision and Augmented intelligence, MAI 2023

作者： Verma, Kavery Srivastava, Subodh Mishra, Ritesh Kumar Department of Electronics and Communication Engineering National Institute of Technology Patna Patna800005 India

ISBN: (纸本)9789819743582

Magnetic Resonance Imaging (MRI) plays a pivotal role in non-invasive medical diagnostics and treatment planning particularly in the field of neuroimaging. One essential aspect of brain Magnetic Resonance (MR) image analysis is edge detection, a fundamental image processing task that aids in the identification of anatomical structures and abnormalities. This research paper presents a comprehensive comparative study of various edge detection methods applied to brain MR images, with the aim of evaluating their performance and applicability in clinical settings. Several well-established edge detection algorithms are implemented and fine-tuned for the specific characteristics of MRI data both in qualitative and quantitative way in the context of improving medical image segmentation, disease detection, and treatment planning. The quantitative assessment has been evaluated in terms of full reference, human visual and no reference image assessment parameter metrics. Center for Biomedical Research Excellence (COBRE) functional MR image datasets are used for this study. The results reveal valuable insights into the strengths and weaknesses of different edge detection methods when applied to MRI images. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Design of a Graduate Employment Intelligent Recommendation system Based on Data Analysis Algorithms 3

Design of a Graduate Employment Intelligent Recommendation S...

引用

3rd international conference on Artificial intelligence, Big Data and Algorithms, CAIBDA 2023

作者： Jiang, Xiaolin Wang, Ruiyang School of Cloud Computing Technology and Application Industry Shandong Institute of Commerce and Technology Shandong Jinan China Beijing Normal University-HongKong Baptist University United International College Guangdong Zhuhai China

ISBN: (纸本)9781643684444

In response to the issues of indiscriminate employment and lengthy contract signing time for university graduates, this research investigates the relationship between graduate behavior and job demand. Taking the past graduates of several universities in Hubei province, China as the research subjects, this study proposes an improved algorithm, Apriori-S, based on the Spark computing framework, to enhance the execution efficiency and applicability of the original Apriori algorithm for analyzing complex datasets. The improved algorithm is applied to mine the association rules between past graduate data and employment information. Experimental analysis demonstrates that the improved algorithm has significantly higher execution efficiency compared to the original algorithm and is suitable for analyzing complex datasets with multiple dimensions. Finally, based on the mining results, an 'employment stickiness' model is constructed, and a design for an intelligent job recommendation system for graduates is developed using data analysis algorithms, enabling intelligent job recommendations for employment positions. © 2023 The Authors.

关键词： Employment

来源：评论

学校读者我要写书评

暂无评论

Power Terminal detection system Based on Graph Neural Network 3

Power Terminal Detection System Based on Graph Neural Networ...

引用

3rd international conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2023

作者： Deng, Hongxin Zhang, Liang Li, Hangzhou Wang, Wei Li, Zheng State Grid Huanggang Power Supply Company Huanggang China Hubei Electric Power Survey and Design Institute Co. Ltd. Wuhan China

ISBN: (纸本)9781643684581

The power terminal detection system is an important part of the power system. It is of great significance to improve the intelligence of the power detection system to maintain the safety of the power system. However, the existing detection system relies more on traditional methods, which reduces the intelligence and accuracy of the detection system. Based on this, this paper proposes a power terminal detection method based on graph neural network. Firstly, the network flow data is used to model the power system as a node with no feature but sideband feature graph. Then, the graph neural network is used to iteratively learn the vector representation of each node in the communication topology according to the features of edges in the graph. Finally, nodes are classified according to the vector representation, so as to detect the vulnerabilities in the power system. When learning node representation, the proposed method considers the flow characteristics of power system and the communication topology of power system at the same time, and clearly considers the direction of edges in the graph. In addition, the proposed method is inductive, so it can adapt to the dynamic changes of power system. Experimental results on two public datasets show that the proposed method can converge quickly during training, and the Micro-F1 score of the proposed method is higher than that of the model that cannot use the power system communication topology information. Compared with other methods, the proposed method is easier to generalize to the unseen data during training. © 2023 The Authors.

关键词： Graph neural networks

来源：评论

学校读者我要写书评

暂无评论

Construction of Foreign Language Translation Recognition system Model Based on Artificial intelligence Algorithms 3

Construction of Foreign Language Translation Recognition Sys...

引用

3rd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Li, Xin Gao, Shuai School Of Foreign Languages College Of Humanities & Information Changchun University Of Technology Jilin Changchun China School Of Foreign Languages Changchun University Jilin Changchun China

ISBN: (纸本)9798350318609

With the development of economic globalization, many foreign languages have become the most common languages in the world and have been increasingly applied. However, there is a shortage of personnel with high foreign language proficiency in various industries. People should strengthen the cultivation of language skills according to market needs. Translation is the core of language ability, and in order to apply foreign languages to practical communication activities, it is necessary to pay attention to the correction and research of foreign language pronunciation. Previously, foreign language translation systems were conducted according to the instructions of teachers, which not only consumed a lot of manpower but also made it difficult to implement. Therefore, it is very important to research and establish an intelligent translation system. This mode can monitor students' foreign language pronunciation and provide correct suggestions. The traditional intelligent recognition mode and settings for foreign language translations are not accurate enough to accurately recognize foreign language translations, correct foreign language pronunciation correctly, and even produce incorrect pronunciation, thereby affecting foreign language learning. Based on the above issues, this article studied an intelligent foreign language translation recognition model based on CNN (Convolutional Neural Networks) algorithm and DTW (Dynamic Time Warping) algorithm, in order to automatically recognize foreign language translations. In order to verify the effectiveness of the model, simulation experiments were conducted in the simulated environment in the article. The experimental results showed that compared to existing systems, the machine synchronous translation system of artificial intelligence technology and speech recognition (in this article) had the highest translation recognition accuracy of 95 00%. © 2024 IEEE.

关键词： Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Resisting Visual Hacking: A Novel Graphical Password Authentication system 3

Resisting Visual Hacking: A Novel Graphical Password Authent...

引用

3rd international conference on Pervasive Computing and Social Networking, ICPCSN 2023

作者： Jebakumar Immanuel, D. Ramalingam, V. Tharun Kumar, P. Iyer, Akash Narayanan, M.S. Karpagam Institute of Technology Department of Artificial Intelligence and Data Science Coimbatore641 105 India Sns College of Engineering Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350322842

Password-based authentication is a widely used method to ensure security and privacy in computer applications. However, the selection of weak passwords and insecure input methods by users is considered the 'weakest link' in the authentication process. Instead of employing arbitrary alphanumeric sequences, individuals tend to opt for passphrases that are either mnemonic or abbreviated in nature. With the proliferation of web and mobile applications, users can access these applications at any time and from anywhere with various devices. Although this convenience is highly desirable, it also increases the likelihood of passwords being exposed to Visual Hacking. The forms of attack may be executed through either direct visual observation or the utilization of external recording devices in order to obtain the user's login information. In response to this issue, our team has devised an authentication system that centers on graphical passwords and is made to combat the threat of Visual Hacking. The system incorporates a three-layered security mechanism, comprising color and pattern matching functionalities in conjunction with password verification. This makes it highly challenging for potential attackers to deduce or limit the password even amidst numerous camera-based hacking attempts. Additionally, we have created and put to the test a prototype of the system to assess its user-friendliness. Our experimental results indicate that our system can resist Visual Hacking more effectively than previous authentication systems while still maintaining a high degree of usability and security. © 2023 IEEE.

关键词： Pattern matching

来源：评论

学校读者我要写书评

暂无评论

Prediction and detection of Carbon Emission Trend Based on Big Data Analysis 3

Prediction and Detection of Carbon Emission Trend Based on B...

引用

3rd international conference on Robotics and Artificial intelligence, JCRAI 2023

作者： Cheng, Guosong Zhong, Da Lei, Wenfeng Jiangxi Sgit-smart Cloud Digital Technology Co. Ltd. 344000 China

ISBN: (纸本)9798400707704

With the rapid development of industrialization and urbanization, carbon emissions have become the main factor affecting global climate change, and Big data analysis technology is of great significance in this field. This paper used big data analysis technology to analyze historical and current carbon emission data, and predict and detect the future carbon emission trend. The experimental results indicated that the future carbon emissions would continue to rise, but the growth rate would gradually slow down. The predicted total carbon emissions in 2023 were 610, while the actual value was 600. In terms of carbon emissions reduction, measures such as increasing renewable energy and encouraging green travel can effectively reduce carbon emissions, while also having a positive impact on economic growth. Implementing carbon reduction measures such as carbon taxes would have an impact on economic growth. Carbon reduction measures should be continued in the future, and big data analytics should be used to monitor emissions and make accurate predictions, thus promoting environmental protection and sustainable development. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

An Automatic Diagnosis Method for Bearing Failure of General Aviation Piston Engine with Deep Learning Networks 3

An Automatic Diagnosis Method for Bearing Failure of General...

引用

3rd international conference on Artificial intelligence, Virtual Reality, and Visualization, AIVRV 2023

作者： Lin, Meichen Liu, Qiyu Zeng, Renwei Bai, Yuxiang Zhang, Gexiang School of Automation Chengdu University of Information Technology Chengdu China Aircraft Repair & Overhaul Plant Civil Aviation Flight University of China Guanghan China

ISBN: (纸本)9781510671485

Bearing failure is one of the common faults in general aviation piston engines, which directly affects the stability and safety of aircraft. The existing diagnostic methods are manual visual fault detection, and the diagnostic accuracy is greatly by worker experience and has low efficiency. To address the aforementioned shortcomings, an automatic diagnosis method based on deep learning networks is proposed to achieve intelligent detection of bearing failure in this paper. The proposed method adopts an improved YOLOv5 model to process photos of bearing bush during engine maintenance to automatically detect bearing faults. For specific dataset features, in order to enhance the ability of image feature extraction and further improve the ability of small target detection, the proposed DC-YOLOv5 in this paper adopts 160*160 detection layers in the network, introduces a coordinate attention mechanism in the backbone part, adds a feature multi-scale fusion structure in the neck part, and uses Alpha-CIoU loss function in the prediction part. Finally, the comparison experiments were conducted using on-site maintenance data. The experimental results show that the mAP of the proposed DC-YOLOv5 reaches 95.42%, which is 3.21% better than the original YOLOv5s. The detection accuracy is considerably improved compared with other mainstream algorithms. The demonstrated effect with the proposed method is sufficient for the maintenance of general aviation piston engines. © 2023 SPIE.

关键词： Fault detection

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211页 << < 93 94 95 96 97 98 99 100 101 102 > >>

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：