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

10,428 篇 会议
37 篇 期刊文献
18 册 图书

馆藏范围

10,483 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7,600 篇 工学
- 5,342 篇 计算机科学与技术...
- 4,297 篇 软件工程
- 2,795 篇 信息与通信工程
- 1,206 篇 控制科学与工程
- 1,005 篇 电气工程
- 872 篇 电子科学与技术（可...
- 666 篇 机械工程
- 647 篇 生物工程
- 600 篇 生物医学工程（可授...
- 561 篇 仪器科学与技术
- 498 篇 动力工程及工程热...
- 420 篇 网络空间安全
- 363 篇 光学工程
- 338 篇 安全科学与工程
- 325 篇 交通运输工程
- 311 篇 化学工程与技术
2,730 篇 理学
- 1,356 篇 数学
- 706 篇 生物学
- 646 篇 物理学
- 493 篇 统计学（可授理学、...
- 298 篇 系统科学
- 289 篇 化学
2,083 篇 管理学
- 1,399 篇 管理科学与工程(可...
- 872 篇 图书情报与档案管...
- 625 篇 工商管理
543 篇 医学
- 480 篇 临床医学
- 451 篇 基础医学(可授医学...
- 274 篇 药学(可授医学、理...
335 篇 法学
- 259 篇 社会学
329 篇 经济学
- 325 篇 应用经济学
239 篇 农学
134 篇 教育学
68 篇 文学
67 篇 军事学
47 篇 艺术学
4 篇 历史学
1 篇 哲学

主题

319 篇 internet of thin...
239 篇 data mining
202 篇 wireless sensor ...
201 篇 big data
189 篇 deep learning
189 篇 wireless communi...
188 篇 accuracy
174 篇 feature extracti...
169 篇 real-time system...
165 篇 machine learning
147 篇 support vector m...
142 篇 monitoring
110 篇 training
103 篇 predictive model...
100 篇 security
98 篇 computational mo...
92 篇 cloud computing
92 篇 data models
91 篇 authentication
90 篇 protocols

机构

75 篇 chitkara univers...
62 篇 the islamic univ...
44 篇 chitkara centre ...
42 篇 centre of resear...
29 篇 the islamic univ...
28 篇 griet bachupally...
27 篇 school of transp...
27 篇 department of co...
23 篇 gla university d...
20 篇 the university o...
20 篇 department of bi...
20 篇 al-farahidi univ...
19 篇 uruk university ...
19 篇 jaipur national ...
19 篇 school of electr...
18 篇 mazaya universit...
18 篇 sri venkateshwar...
18 篇 graphic era deem...
17 篇 school of inform...
17 篇 department of el...

作者

19 篇 shivashankar
16 篇 wang wei
12 篇 srinivasan c.
12 篇 yang yang
12 篇 patil harshal
11 篇 gill kanwarparta...
11 篇 murugan s.
10 篇 zhang yan
10 篇 alabdeli haider
10 篇 zhao li
9 篇 li li
9 篇 kavitha m.
9 篇 aziz sumair
9 篇 biqing li
9 篇 li bo
9 篇 chhabra gunjan
9 篇 al-jawahry hassa...
8 篇 pareek piyush ku...
8 篇 liu yang
8 篇 liu xin

语言

9,753 篇 英文
616 篇 其他
128 篇 中文

检索条件"任意字段=2nd International Conference on Data Engineering and Communication Technology, ICDECT 2017"

共 10483 条记录，以下是51-60 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：

Conceptualization of a Cardiac Monitoring System via Bluetooth communication Protocol to Mobile Devices 2

Conceptualization of a Cardiac Monitoring System via Bluetoo...

引用

2nd international conference on Intelligent data communication Technologies and Internet of Things, IDCIoT 2024

作者： Karuppiah, Santhi Anuradha, T. Sivachandar, K. Thyla, B. Dhivya, D. Jose Anand, A. Vel Tech High Tech Dr. Rangarajan Department of Computer Science and Engineering Dr Sakunthala Engineering College AvadiTamil Nadu Chennai India KCG College of Technology Department of Electrical and Electronics Engineering Karapakkam Tamil Nadu Chennai600097 India RMK College of Engineering and Technology Department of Electronics and Communication Engineering Puduvoyal Tamilnadu Thiruvallur601206 India KCG College of Technology Department of Electronics and Communication Engineering Karapakkam Chennai600097 India Veltechmultech Dr Rangarajan Dr Sakunthala Engineering College Department of AIDS Avadi Tamil Nadu Chennai600062 India

ISBN: (纸本)9798350327533

The widespread use of mobile devices around the world ends up making the subject interesting for the development of new research in the most diverse areas. One of them is medicine, in which eHealth can be mentioned, which consists of the use of information technologies aimed at health, using electronic means to improve services and access to information. Within this concept is mHealth, which represents the presence of mobile devices (mobility) in relation to existing commercial eHealth telemedicine systems. The present work presents the use of mobile devices as a platform for monitoring physiological signals. Its objective is to acquire a patient's cardiac signals through a pair of electrodes (a lead), signal processing, transmission via Bluetooth communication protocol to mobile devices. © 2024 IEEE.

关键词： Bluetooth communication protocol 3 Cardiac monitoring system 2 Heart rate monitoring Mobile devices 4 Wearable sensor 5

来源：评论

学校读者我要写书评

暂无评论

Password-Based Authenticated Key Exchange for Cloud Storage from RLWE 24

Password-Based Authenticated Key Exchange for Cloud Storage ...

引用

2nd international conference on Electronics, Computers and communication technology, CECCT 2024

作者： Xie, Gang Xu, Chunxiang Jiang, Changsong Han, Yu Dong, Xinfeng School of Computer Science and Engineering University of Electronic Science and Technology of China Sichuan Chengdu China University of Electronic Science and Technology of China Huzhou China School of Computer Science and Engineering and Technology of China University of Electronic Science and Technology of China Sichuan Chengdu China China and National Key Laboratory of Security Communication Sichuan Chengdu China

ISBN: (纸本)9798400710193

Cloud storage enables users to store, retrieve, and share large amounts of data in a flexible and convenient way. To guarantee only authorized users can access the data, authenticated key exchange is a feasible solution, which provides both user authentication and session key negotiation. In authenticated key exchange, passwords are the most widely used authenticatin factor due to their easy-operation. However, most password-authenticated key exchange rely on traditional cryptographic assumptions, such as the discrete logarithm problem or integer factorization, which are vulnerable to quantum attacks. In this paper, we propose a novel password-authenticated key exchange protocol dubbed PAKER based on Ring Learning With Errors problem(RLWE) for cloud storage, which is a Diffie-Hellman-like protocol and achieves post-quantum security. In PAKER, all computations are performed in a polynomial ring, where an approximate verification key is obtained through polynomial multiplication, followed by the application of a reconciliation function and an auxiliary modular function, a user and the server can negotiate a session key. We provide the formal security proof of PAKER. The comprehensive performance evaluation demonstrates that PAKER is efficient in accordance with computation and communication costs. © 2024 Copyright held by the owner/author(s).

关键词： Authentication Protocol

来源：评论

学校读者我要写书评

暂无评论

GANs for Synthetic Environmental data Generation (Air Quality) for Low-Resource Regions 2

GANs for Synthetic Environmental Data Generation (Air Qualit...

引用

2nd international conference on Advances in Computation, communication and Information technology, ICAICCIT 2024

作者： Verma, Seema Jain, Neha Mahapatra, Madhumita Setia, Sonia Sachdeva, Vrinda Kumar, Manoj Dept. of Computer Science & Engineering Delhi Technical campus Uttar Pradesh Greater Noida India Dept. of Computer Science & Engineering Sharda University Uttar Pradesh Greater Noida India Dept. of Computer Science & Engineering G.L Bajaj Institute of Technology and Management Uttar Pradesh Greater Noida India Uttar Pradesh Ghaziabad India

ISBN: (纸本)9798331541217

Due to the significant expenses and logistical difficulties involved in deploying monitoring equipment, many areas, especially those in developing nations, lack adequate environmental data. This work presents a novel approach that uses Generative Adversarial Networks (GANs) for creating artificial environmental data. The model of GAN is trained for generating synthetic data for under-monitored or unmonitored areas by utilizing high-resolution environmental data from well-monitored regions. The paper discusses the generation of synthetic data and its comparison with real data based on statistical properties. The analysis reveals that the characteristics of the created data closely align with the actual data. With the help of this synthetic data, researchers and policymakers will be able to make more informed decisions by having precise estimations of important environmental indicators like air quality. © 2024 IEEE.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Federated Learning for Cybersecurity: A Promising Frontier 2

Federated Learning for Cybersecurity: A Promising Frontier

引用

2nd IEEE international conference on IoT, communication and Automation technology, ICICAT 2024

作者： Ananya, G. Bindu Madhavi, V. Murthy, Monisha Guruprasad, N. Global Academy of Technology Dept. of Computer Science and Engineering Karnataka Bengaluru India Buddha Institute of Technology Computer Science and Engineering Uttar Pradesh Gorakhpur India

ISBN: (纸本)9798350368109

In today's world, Artificial Intelligence and Machine Learning are transforming many industries, but they rely on huge amounts of data leading to privacy issues. A better alternative is Federated learning. Federated Learning involves training the model from multiple sources using the decentralization technique, meaning each device trains the model on its local data thereby reducing the strain on the single server. This is useful in cases where the data is too large to be sent and maintained on a central server or in handling privacy and security concerns. Cybersecurity is a prime domain where vulnerable attacks and breaches can be prevented using this technique. Other domains like finance, healthcare, IoT etc. have transformed the idea of data-driven decisions. This paper gives an insight into the concept of Federated learning and why it is a better choice. It includes the various algorithms that can be implemented in multiple applications depicted through a comparative analysis. The choice of algorithm depends upon its efficiency and the desired cybersecurity application. © 2024 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Transparent AI Solutions for Parkinson's Disease Diagnosis and Monitoring: A Multimodal Deep Learning Approach 2

Transparent AI Solutions for Parkinson's Disease Diagnosis a...

引用

2nd international conference on Computational Intelligence, communication technology and Networking, CICTN 2025

作者： Praveena, S.G. Hussaian Basha, C.H. Senthilkumar, S. Muthaiyan, R. Dinesh, E. Senthilkumar, S. Kavitha, M. Department of Electronics and Communication Engineering E.G.S. Pillay Engineering College Tamil Nadu Nagapattinam611002 India Department of Electrical and Electronics Engineering SR University Telangana Hanumakonda506371 India Department of Electronics and Communication Engineering University College of Engineering Tamil Nadu Thirukkuvalai610204 India Department of Electronics and Communication Engineering M. Kumarasamy College of Engineering Tamil Nadu Karur639113 India Dhaanish Ahamed Institute of Technology Tamil Nadu Coimbatore641105 India

ISBN: (纸本)9798331530389

Parkinson's disease (PD) diagnosis remains challenging due to the variability in motor and non-motor symptoms. While deep learning (DL) models show promise in improving diagnostic accuracy, their "black box" nature limits clinical adoption. This study proposes an explainable AI (XAI) framework combining DL models with interpretability techniques, such as SHAP and LIME, to enhance transparency and trust. Using multimodal datasets, including clinical, imaging, and wearable sensor data, the framework identifies key features driving predictions, enabling clinicians to make informed decisions. The proposed method achieves superior performance, with an accuracy of 92%, precision of 91.1%, and recall of 90.4%, outperforming existing methods. By bridging the gap between AI outputs and clinical needs, this framework offers a practical tool for early PD diagnosis and progression monitoring. © 2025 IEEE.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

Signal Processing Techniques for Enhanced Wireless Network Performance 2

Signal Processing Techniques for Enhanced Wireless Network P...

引用

2nd international conference on Advances in Computation, communication and Information technology, ICAICCIT 2024

作者： Nirmala, G. Haripriya, M.P. Shaik, Mohammed Rizwan Vijayalakshmi, S. Martis, Jason Elroy Babu, M. Dinesh Department of Computer Science and Engineering R.M.D. Engineering College Chennai India Karnataka Bengaluru India Department of Electrical & Electronics Engineering College of Engineering& Computer Science Jazan University Jazan Saudi Arabia Department of ECE R.M.K. Engineering College Chennai India Department of ISE NMAM Institute of Technology Nitte Deemed to be University Karnataka Mangaluru India Department of Mechanical Engineering Rajalakshmi Institute of Technology Chennai India

ISBN: (纸本)9798331541217

With increasing complexity and data rates of wireless communication networks, an effective signal processing technique is significantly required. Memoryless predistortion techniques undoubtedly help to minimise nonlinear distortions in RF power amplifiers. This is so because they guarantee high amplifier output. Methodology: This paper presents a new multichannel wireless signal processing technique to give wireless communication systems memoryless predistortion. The predistortion approach is efficiently applied over numerous channels using wireless signal processing resources. This method lets run in real time with minimum unnecessary hardware overhead. Findings: The experiments reveal that the method based on wireless signal processing is an effective approach for correcting for nonlinear distortions developing in RF power amplifiers. © 2024 IEEE.

关键词： Nonlinear distortion

来源：评论

学校读者我要写书评

暂无评论

Predictive Model for Student Career Success Using Blockchain technology and Machine learning 2

Predictive Model for Student Career Success Using Blockchain...

引用

2nd international conference on Computational Intelligence, communication technology and Networking, CICTN 2025

作者： Aggarwal, Mansi Vyas, Vaibhav Department of Computer Science Banasthali Vidyapith Rajasthan India Department of Computer Science and Engineering- AIML ABES Engineering College UP Ghaziabad India

ISBN: (纸本)9798331530389

Using blockchain for student career prediction offers key benefits, including enhanced data security and privacy through encryption and immutability, ensuring personal information protection. It provides transparency and trust with a tamper-proof record of achievements and skills, fostering confidence among employers and educational institutions. Decentralization eliminates the need for a central authority, reducing risks of data loss or manipulation. Additionally, blockchain enables accurate traceability of student progress, ensuring accountability in career prediction data. Using machine learning to develop a prediction model for student career prediction offers substantial benefits by enabling personalized, data-driven insights that can significantly enhance career guidance. With this vast amount of data from various sources, identifying complex patterns and correlations that may not be evident through traditional analysis. This allows for highly accurate, individualized career recommendations, reducing biases and ensuring fair evaluations. Moreover, this model will continuously improve over time, adapting to new data and refining predictions, ultimately leading to more informed and effective career planning for students. Applying machine learning algorithms on student data stored on blockchain will provide exact information about students including their strengths and weaknesses both. This will lead to a better prediction and effecting planning. © 2025 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Rule and Encryption based Secure Routing for Internet of Vehicle Networks 2

Rule and Encryption based Secure Routing for Internet of Veh...

引用

2nd IEEE international conference on Networking and communications, ICNWC 2024

作者： Anand, M. Muthurajkumar, S. Selvi, M. Thangaramya, K. Svn, Santhosh Kumar Kannan, A. Anna University Madras Institute of Technolog Department of Computer Technology Chennai India Vellore Institute of Technology School of Computer Science and Engineering Vellore India Vellore Institute of Technology School of Computer Science Engineering and Information Systems Vellore India

ISBN: (纸本)9798350365269

The Internet of Vehicles (IoV) has become one challenging communication technology in the current internet world. IoV enables real-time data exchange between vehicles, road infrastructures, and mobile communication devices and hence it helps in information exchange to vehicle drivers and the passengers. In IoV, Cybersecurity threats including Denial-of-Service (DoS) attacks are present and it compromises the security in communication among the vehicles and the passengers. Therefore, it is needed to develop a robust security mechanism that can protect the data communicated through routing in IoV. The inclusion of Encryption and Signature verification techniques in the routing algorithm will enhance the security. This paper proposes a Rule with Encryption-Oriented Secure Routing Protocol (REO-SRP) is proposed using clustering and RSA encryption with DSA Digital signature verification with rules for routing. Here, routing is performed after encryption of data and analysis of other vehicles using rules for reliable and secured data delivery. © 2024 IEEE.

关键词： Vehicles

来源：评论

学校读者我要写书评

暂无评论

Performance Comparison of Object Detection Neural Network Models Based on Accuracy and Latency 2

Performance Comparison of Object Detection Neural Network Mo...

引用

2nd international conference on Intelligent data communication Technologies and Internet of Things, IDCIoT 2024

作者： Gomathy, B. Sengottaiyan, N. Aarthi, K. Thirumoorthy, P. Tamizharasu, K. Kalyanasundaram, P. Dr.NGP Institute of Technology Dept of Computer Science and Business Systems Tamilnadu Coimbatore India Alliance College of Engineering and Design Alliance University Faculty of Science and Technology Karnataka Anekal562106 India Kongu Engineering College Department of ECE Erode Tamilnadu Perundurai638 060 India Nandha Engineering College Department of CSE Erode Perundurai638 052 India KSR Institute for Engineering and Technology Tiruchengode Department of CSE 637215 India

ISBN: (纸本)9798350327533

Aim: The purpose of this study is to compare the object detection performance of You Only Look Once V4 (YOLOv4) and Single Shot Multibox Detector (SSD) algorithms with respect to metrics like accuracy and latency. Materials and method: Twenty sample photos in all, from different classifications and labels, were gathered. These samples were divided into training dataset (60 %) and test dataset (40 %). To measure the performance, values for accuracy and latency were computed for YOLOv4 and SSD with G power 0.8. Result: The accuracy in prediction of the object in the image was higher in the YOLOv4 algorithm (97 %) compared to the SSD algorithm (84 %). After running a t-test on an independent sample of the two groups under consideration. It is observed that YOLOv4 reported greater preference than the SSD algorithm having p value 0.166 (p>0.05). It was proven that the YOLOv4 reported greater preference than SSD in terms of accuracy. © 2024 IEEE.

关键词： Convolutional neural networks Machine Learning Novel Custom dataset Object Detection Single Shot Multibox Detector You Only Look Once V4

来源：评论

学校读者我要写书评

暂无评论

Detecting Anomalies in IoT Sensor data with Robust Principal Component Analysis (RPCA) 2

Detecting Anomalies in IoT Sensor Data with Robust Principal...

引用

2nd IEEE international conference on IoT, communication and Automation technology, ICICAT 2024

作者： Sharma, Kamal Sravanthi, Jajimoggala Chinna Maddileti, B.K. Sivakami, S. Alzubaidi, Laith H. Mary Reeja, Y. GLA University Department of Mechanical Engineering Mathura India GRIET Bachupally Department of CSE Telangana Hyderabad India CMR College of Engineering & Technology Department of CSE India New Prince Shri Bhavani College of Engineering and Technology Department of ECE Tamil Nadu Chennai600073 India College of Technical Engineering Department of Computers Techniques Engineering The Islamic University Najaf Iraq Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India

ISBN: (纸本)9798350368109

This work studies the use of RPCA in IoT sensor data for anomaly detection. However, due to the fact that IoT data is complex, high-dimensional, noisy, and frequently has a dynamic pattern, it is hard to employ regular anomaly detection techniques. RPCA, however, gives a quite potential solution as it decomposes the data into low-rank and sparse matrices, in this way the outlying points can be separated for isolation. The effectiveness of the proposed framework is being validated, compared to the state-of-the-art schemes for IoT, and yields high detection accuracy and low FPR/FNR rates in real-world IoT datasets with noise and different severity of anomalies included. It should also noted that the computational complexity of RPCA is bigger than of traditional methods but it offers much better results. The present work can be considered as a valuable contribution to the field of IoT due to a highly reliable and scalable method that can be used for anomaly detection and recognition of IoT systems vulnerabilities. © 2024 IEEE.

关键词： Principal component analysis

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500页 << < 2 3 4 5 6 7 8 9 10 11 > >>

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：