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

3,019 篇 会议
4 册 图书
4 篇 期刊文献

馆藏范围

3,027 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,291 篇 工学
- 2,037 篇 计算机科学与技术...
- 1,643 篇 软件工程
- 895 篇 信息与通信工程
- 657 篇 控制科学与工程
- 468 篇 网络空间安全
- 418 篇 生物工程
- 322 篇 电气工程
- 273 篇 生物医学工程（可授...
- 240 篇 电子科学与技术（可...
- 219 篇 仪器科学与技术
- 218 篇 石油与天然气工程
- 175 篇 动力工程及工程热...
- 147 篇 光学工程
- 119 篇 安全科学与工程
- 109 篇 机械工程
1,356 篇 理学
- 794 篇 数学
- 436 篇 生物学
- 278 篇 统计学（可授理学、...
- 242 篇 化学
- 193 篇 物理学
- 130 篇 系统科学
830 篇 管理学
- 527 篇 管理科学与工程(可...
- 436 篇 图书情报与档案管...
- 229 篇 工商管理
307 篇 医学
- 237 篇 临床医学
- 235 篇 基础医学(可授医学...
- 167 篇 药学(可授医学、理...
- 166 篇 公共卫生与预防医...
138 篇 法学
- 102 篇 社会学
87 篇 农学
- 86 篇 作物学
81 篇 教育学
80 篇 经济学
10 篇 军事学
2 篇 文学

主题

89 篇 deep learning
87 篇 machine learning
66 篇 internet of thin...
61 篇 blockchain
53 篇 big data
47 篇 support vector m...
46 篇 forecasting
45 篇 data mining
37 篇 students
34 篇 artificial intel...
34 篇 convolutional ne...
33 篇 feature extracti...
32 篇 long short-term ...
30 篇 decision trees
29 篇 sentiment analys...
26 篇 object detection
26 篇 training
25 篇 cybersecurity
24 篇 computer vision
24 篇 power electronic...

机构

58 篇 maharishi school...
57 篇 uttaranchal univ...
39 篇 vishwakarma inst...
36 篇 chitkara univers...
35 篇 vivekananda glob...
32 篇 national univers...
32 篇 the islamic univ...
29 篇 centre of interd...
27 篇 lovely professio...
24 篇 chitkara univers...
24 篇 vishwakarma inst...
24 篇 graphic era deem...
23 篇 sr university sc...
21 篇 school of comput...
20 篇 uttaranchal inst...
19 篇 graphic era hill...
18 篇 maharishi school...
16 篇 vishwakarma inst...
16 篇 college of pharm...
15 篇 ajloun national ...

作者

29 篇 chauhan rahul
17 篇 joshi kapil
17 篇 alazzam malik ba...
14 篇 dhabliya dharmes...
13 篇 gill kanwarparta...
13 篇 gehlot anita
13 篇 tiwari mohit
10 篇 kukreja vinay
10 篇 mondal dipannita
10 篇 vats satvik
10 篇 anand vatsala
9 篇 sharma neha
9 篇 gupta rupesh
9 篇 kumar bura vijay
8 篇 anjali t.
8 篇 kumar ritesh
8 篇 singh vaishali
8 篇 singh akhilendra...
8 篇 singh rajesh
8 篇 abdelminaam diaa...

语言

2,155 篇 其他
872 篇 英文
23 篇 中文

检索条件"任意字段=2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023"

共 3027 条记录，以下是671-680 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：

Prediction of Road Traffic using an ELM-based Neural Network 3

Prediction of Road Traffic using an ELM-based Neural Network

引用

3rd international conference on Smart data Intelligence, ICSMDI 2023

作者： Ali Fathima, R Syed Sumathi, R. School of Computing Kalasalingam Academy of Research and Education Department of Computer Science and Engineering KrishnanKovil India

ISBN: (纸本)9781665464871

This study discusses about traffic prediction, which is possible in intelligent transportation systems. This involves making predictions based on data from the previous year and data from the most recent years, which eventually yields accuracy and mean square error. For those who need to check the current traffic situation, this prediction will be useful. The traffic statistics is based on a 1 hour time gap. From this prediction, live traffic numbers are examined. So, while the user is also driving, this will be simpler to examine. The core objective of this proposed system is to identify the future traffic based on the video analysis. The proposed system uses video analysis and ELM based neural network. The proposed system is also useful for central and state government for maintaining smooth traffic flow. © 2023 ieee.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Improved application of SCR flue gas denitrification control system in power plant 3

Improved application of SCR flue gas denitrification control...

引用

3rd ieee international conference on Power, Electronics and computer applications, ICPECA 2023

作者： Wang, Zhongyan Li, Jia Si, Ruicai Zhou, Chi Song, Yang Li, Xiucheng Jilin Province Electric Power Science Research Institute Co Ltd State Grid Corporation of China Changchun China Changchun Thermal Power Plant Changchun China Huaneng Jiutai Power Plant Changchun China

ISBN: (纸本)9781665472784

This paper introduces the automatic control system of flue gas denitrification in thermal power units, and makes many improvements on the traditional control strategy. The improved algorithm has the advantages of simple process, clear parameter setting, fast object identification, and makes full use of the dynamic relationship between oxygen concentration at denitrification inlet and NOx concentration at flue gas inlet. On the basis of traditional control, the problem that NOx concentration at flue gas outlet is difficult to be controlled due to large delay is solved. The actual operation OF the unit shows that the improved control strategy has strong robustness, achieves the control indexes, especially the environmental protection requirements, has strong universality and practicability, and meets the requirements of denitrification automation control. © 2023 ieee.

关键词： Flue gases

来源：评论

学校读者我要写书评

暂无评论

A Study on Machine Learning Algorithms for IOT-Based Intrusion Detection System 3

A Study on Machine Learning Algorithms for IOT-Based Intrusi...

引用

3rd international conference on Advancement in Electronics and Communication Engineering, AECE 2023

作者： Pandey, Mani Prasad, Sanjeev Kumar School of Computing Science & Engineering Galgotias University Greater Noida India Kiet Group of Institutions Department of Computer Science & Engineering Ghaziabad India

ISBN: (纸本)9798350330724

In recent years, the need for IoT and its applications has grown and evolved significantly. However, as the number of attacks on IoT applications has expanded, so has the frequency of these attacks. This study intends to give a comprehensive assessment of recent research trends in IoT security, with a focus on identifying distinct security concerns in IoT and investigating the application of intrusion detection systems in IoT networks. Furthermore, the study investigates the incorporation of IoT security into machine learning (ML) security, which aids in the protection of machine learning models against various cyber-attacks. Furthermore, this study evaluates existing models and methods while highlighting several hybrid approaches for network analysis in intrusion detection. The accuracy and efficiency of the utilized approaches and models substantially influence the success of real-time IoT attack identification. © 2023 ieee.

关键词： Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

Automation in Monitoring Temperature, Vibration of Industry and Preventing Accident Using IoT 3

Automation in Monitoring Temperature, Vibration of Industry ...

引用

3rd international conference on Innovative Practices in Technology and Management, ICIPTM 2023

作者： Uma Maheswari, Sabari L Teotia, Shashiraj Kumaravel, R. Pandey, Himani Dhinakaran, K. Kumar, Ashok R.M.K. Engineering College Department of Electrical and Electronics Engineering Kavaraipettai India Swami Vivekanand Subharti University Department of Computer Application Meerut India Vivekanandha College of Engineering for Women Department of Computer Science and Technology Elayampalam India Baroda University Department of Applied Science and Humanities Vadodara India Misrimal Navajee Munoth Jain Engineering College Department of Computer Science and Engineering Chennai India Banasthali Vidyapith Department of Computer Science Rajasthan India

ISBN: (纸本)9798350336238

Industrial safety is more important in both safety of human being and machines. To ensure this the temperature of the machine is monitored continuously and if any abnormal situation arises, the machine will be isolated from the supply using IoT. Similarly, the sound and vibration inside the factory is monitored using vibration sensor and intimated to the control room if needed. The control room may be located in remote place the information will be sent to them using IoT. Vibration may induce due sudden fall of any heavy materials, braking of machine shaft, fall of objects from Crane, etc. The vibration caused by the unexpected incident will be identified by the vibration sensor provide in the factory/ Industry in various places. The sensor will alarm by siren and intimate to the operator or control room. SMS (Small Message Service) also send to the operator through GSM. © 2023 ieee.

关键词： Accident prevention

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of Cyber Space Threat Detection System Based on User Behavioral Logs 3

Design and Implementation of Cyber Space Threat Detection Sy...

引用

3rd international conference on Electronic Information Engineering and computer Communication, EIECC 2023

作者： Wang, Wenhao Li, Hao Nie, Peng College of Cyber Science Nankai University Tianjin Key Laboratory of Network and Data Security Technology Tianjin China Science and Technology on Communication Networks Laboratory Shijiazhuang China College of Cyber Science Nankai University Tianjin China

ISBN: (纸本)9798350359961

In contemporary society, the role of networks in daily work and business activities is increasingly prominent. The enterprise intranet, serving as a crucial bridge for maintaining work stability, asset security, and business continuity, has garnered significant attention from both academia and industry in the field of intranet security detection. This study is based on the Log2Vec algorithm and involves the design and implementation of a Cyber Space Threat Detection System. The system, facilitated by the collaborative efforts of three modules-log ingestion, graph encoding, and security detection-effectively showcases user behavior, encodes logs into a heterogeneous graph, transforms the graph into vectors, and conducts cluster analysis to detect abnormal user behavior. Through in-depth research and systematic design, this study aims to provide enterprises with a more advanced and comprehensive intranet security detection solution to cope with evolving cybersecurity threats. © 2023 ieee.

关键词： Cybersecurity Heterogeneous Graph Log2Vec

来源：评论

学校读者我要写书评

暂无评论

2023 3rd international Symposium on computer Technology and Information science, ISCTIS 2023

2023 3rd International Symposium on Computer Technology and ...

引用

3rd international Symposium on computer Technology and Information science, ISCTIS 2023

ISBN: (纸本)9798350325386

The proceedings contain 217 papers. The topics discussed include: an empirical study on the correlation between neuron coverage and code coverage;information interaction security identification of 3D grid data based on digital twin;distilling object detection fusion of foreground enhancement and spatial frequency;application of network security threat detection in the smart home;point cloud compression for augmented reality-based campus navigation application;design of interactive teaching system based on computer vision technology;high-precision robust calibration of circular targets based on monocular vision;an improved SSD network-based target detection method for penguin populations;research on ship detection method based on band screening;energy-saving method in SDN networks based on deployment location and link traffic;rotated top-view fisheye person detection based on dynamic attention;construction of secure authentication code based on cartesian authentication code;a dominant color extraction method based on salient object detection;and optimization design and research of large rotating machine components based on optimized smooth weighted load balancing algorithm.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proceeding - 2023 ieee 3rd international Maghreb Meeting of the conference on sciences and Techniques of Automatic Control and computer Engineering, MI-STA 2023

Proceeding - 2023 IEEE 3rd International Maghreb Meeting of ...

引用

3rd ieee international Maghreb Meeting of the conference on sciences and Techniques of Automatic Control and computer Engineering, MI-STA 2023

ISBN: (纸本)9798350319897

The proceedings contain 152 papers. The topics discussed include: statistical study of optimizing preparation new SOFC anode;application of business process management in the Libyan international medical university: history and development;the influence of phase-shifted line-of-sight component with correlated-shadows Rician fading over the performance of cell-free massive MIMO;understanding the threat posed by Chinese cyber warfare units;a cloud computing model for Libyan higher education institutions;assessing virtual reality sickness in highly immersive virtual laboratory environments : simulator sickness questionnaire and mitigation strategies;detection of breast tumor using microstrip ring resonator;detection of communication network intruders using artificial neural networks;strongly coupled magnetic resonance based wireless power transfer system for implantable medical devices;a compact patch coupler using cross-slots for 5g applications;classifying leukemia through DNA expression data mining techniques;channel gain in micro-urban environment assisted intelligent reflecting surface;sliding mode control for the satellite with the influence of time delay;and a proposed method for detecting network intrusion using deep learning approach.

关键词：

来源：评论

学校读者我要写书评

暂无评论

BIFT: A federated learning System for Connected and Autonomous Vehicles Based on Blockchain 3

BIFT: A federated learning System for Connected and Autonomo...

引用

3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Yadav, Aarti Kaur, Amandeep Vivekananda Global University Department of Computer Science Engineering Jaipur India Chandigarh School of Business Department of Master of Computer Application Jhanjeri India

ISBN: (纸本)9798350399264

Algorithms for machine learning(ML) are essential for autonomous driving. The vast majority of history's automated and connected cars send a significant quantity of movement data collected from many automobiles to a central server for regular training. Nonetheless, the info process has made the safety and confidentiality of information essential. Nowadays, the development of federated learning (FL) for data security has the potential to potential to enhance distributed machine learning's data privacy. The malicious attackers might still target the training process, though. FL is extremely vulnerable because of its total dependency on the central server. We suggest BIFT as a solution to the aforementioned issue, which consists of two parts: 1) a completely decentralized 2) A blockchain-based machine learning system for CAVs that guarantees privacy. With the use of their own driving data, BIFT's scattered CAVs may train local machine learning models, which they can subsequently upload to improve the global model. In order to fend off potential attackers, BIFT offers a consensus mechanism called Proof of Federated Learning. We assess BIFT's performance and demonstrate that it is scalable, reliable, and capable of fending off harmful assaults. © 2023 ieee.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Image Denoising Based on Median Filter and UNet

Image Denoising Based on Median Filter and UNet

引用

data science and computer application (icdsca), ieee international conference on

作者： Xianli Li Xueshan Wang Yitian Tao College of Information Science and Technology Qingdao University of Science and Technology Qingdao China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

Image denoising can improve image quality, improve visual perception, improve the accuracy of subsequent tasks, reduce image compression rate, and protect privacy information. In order to effectively remove the noise of real images, this paper proposes an image denoising method combining adaptive weighted median filtering algorithm, VGG and U-Net network. Firstly, the adaptive weighted median filtering algorithm is used to preprocess the input noise image, and then the VGG-16 network is used to extract the features of the image. On this basis, the U-Net network is constructed for encoding and decoding to obtain the denoised image. Experimental results on the SIDD real image dataset show that compared with other classical methods, the PSNR and SSIM values of the proposed algorithm are greatly improved, with PSNR reaching 35.57 and SSIM reaching 0.957. On the data sets with Gaussian noise standard deviation of 5, 10 and 20, the PSNR reaches 37.614, 35.241 and 35.249, SSIM reaches 0.974, 0.961 and 0.963, and MSE reaches 14.744, 31.985 and 36.120, respectively. The processed image has good visual effect, and the proposed algorithm can retain more image detail information while denoising.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Real-Time data Streams: The Future of Predictive Maintenance in Manufacturing 3

Real-Time Data Streams: The Future of Predictive Maintenance...

引用

3rd ieee international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Goyal, Manish Kumar Haripriya Singh, Akhilendra Pratap Vivekananda Global University Department of Computer Science & Application Jaipur India Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350343274

Dynamic Predictive Modeling is a method that has brought about a revolutionary change in the field of preventive maintenance in the industrial sector. Using the benefits of real-time data streams and flexible algorithms, this cutting-edge technology enhances predictive maintenance processes. In this investigation, we evaluate the efficacy of Dynamic Predictive Modeling to that of numerous more conventional methods, including vibration analysis, acoustic emission analysis, thermography, oil analysis, ultrasonic testing, and data analytics. Accuracy, resource optimization, adaptability, downtime reduction, cost-effectiveness, and preventative maintenance are just a few of the criteria we use to evaluate the methods. The findings indicate that Dynamic Predictive Modeling outperforms its predecessors across a range of performance metrics. It can better adapt to the ever-changing industrial environment, allowing for more precise and timely breakdown forecasts. The allocation of resources and the economy of operation are both enhanced by the fact that maintenance procedures may be adjusted according to the actual condition of the equipment. Predictive maintenance is the most effective method for minimizing unscheduled downtime and increasing output in heavy industry. In a comparison of several approaches to predictive maintenance, Dynamic Predictive Modeling comes out on top with the highest aggregate score. A study reveals how an unconventional approach might improve the effectiveness and reliability of industrial operations. Increased equipment reliability, decreased maintenance costs, and a potential advantage in the manufacturing industry might arise from the use of dynamic predictive modeling. © 2023 ieee.

关键词： Cost effectiveness

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303页 << < 64 65 66 67 68 69 70 71 72 73 > >>

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：