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

192,061 篇 会议
1,982 册 图书
1,432 篇 期刊文献
8 篇 学位论文
2 篇 科技报告

馆藏范围

195,486 篇 电子文献
4 种 纸本馆藏

日期分布

学科分类号

111,804 篇 工学
- 86,472 篇 计算机科学与技术...
- 63,731 篇 软件工程
- 30,508 篇 信息与通信工程
- 14,627 篇 控制科学与工程
- 12,595 篇 电气工程
- 10,397 篇 生物工程
- 8,337 篇 电子科学与技术（可...
- 7,687 篇 机械工程
- 7,412 篇 生物医学工程（可授...
- 5,718 篇 仪器科学与技术
- 5,150 篇 光学工程
- 4,751 篇 动力工程及工程热...
- 4,546 篇 安全科学与工程
- 4,328 篇 网络空间安全
- 3,908 篇 化学工程与技术
- 3,762 篇 交通运输工程
43,385 篇 理学
- 23,681 篇 数学
- 11,208 篇 生物学
- 9,436 篇 物理学
- 7,278 篇 统计学（可授理学、...
- 5,278 篇 系统科学
- 4,055 篇 化学
32,591 篇 管理学
- 19,841 篇 管理科学与工程(可...
- 15,271 篇 图书情报与档案管...
- 9,779 篇 工商管理
6,833 篇 医学
- 5,812 篇 临床医学
- 5,439 篇 基础医学(可授医学...
- 3,266 篇 药学(可授医学、理...
5,395 篇 法学
- 4,402 篇 社会学
3,677 篇 经济学
- 3,621 篇 应用经济学
3,267 篇 教育学
2,634 篇 农学
1,510 篇 文学
537 篇 军事学
385 篇 艺术学
16 篇 历史学
13 篇 哲学

主题

9,530 篇 cloud computing
6,209 篇 computational mo...
4,703 篇 information tech...
4,658 篇 feature extracti...
4,063 篇 accuracy
3,593 篇 training
3,532 篇 data mining
3,490 篇 computer archite...
3,412 篇 image coding
3,278 篇 internet of thin...
3,167 篇 security
2,984 篇 servers
2,953 篇 mobile computing
2,912 篇 computer science
2,892 篇 protocols
2,682 篇 machine learning
2,666 篇 deep learning
2,572 篇 real-time system...
2,532 篇 educational inst...
2,463 篇 wireless sensor ...

机构

630 篇 university of ch...
558 篇 institute of com...
384 篇 school of comput...
291 篇 chitkara univers...
244 篇 maharishi school...
227 篇 university of sc...
187 篇 department of co...
169 篇 faculty of infor...
152 篇 department of co...
150 篇 faculty of compu...
146 篇 lovely professio...
145 篇 department of co...
143 篇 school of comput...
132 篇 key laboratory o...
127 篇 shenyang institu...
118 篇 maharishi school...
107 篇 school of inform...
102 篇 state key labora...
102 篇 institute of inf...
99 篇 college of infor...

作者

108 篇 lei wang
99 篇 wang lei
98 篇 leonard barolli
76 篇 yang yang
75 篇 wang wei
73 篇 zhang tao
67 篇 jian wang
65 篇 china
60 篇 wei wang
59 篇 rui wang
53 篇 bin wang
51 篇 li wei
50 篇 liu yang
48 篇 li cheng
47 篇 feng liu
47 篇 xiao liu
46 篇 zhang lin
44 篇 bastieri d.
43 篇 yongdong zhang
42 篇 yang liu

语言

190,790 篇 英文
3,339 篇 其他
1,913 篇 中文
19 篇 俄文
10 篇 法文
5 篇 阿拉伯文
3 篇 西班牙文
3 篇 葡萄牙文
3 篇 乌克兰文
2 篇 德文

检索条件"任意字段=International Conference on Information Technology - Coding and Computing"

共 195487 条记录，以下是4831-4840 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：

Research on the Application of Power System Cryptography Based on Quantum Key

Research on the Application of Power System Cryptography Bas...

引用

2024 international conference on Innovative Design and Intelligent Manufacturing, IDIM 2024

作者： Dong, Wu Liu, Xu Peng, Linyu Liu, Kang Peng, Dili Wang, Tao Shi, Ji Zuo, Jun Power Dispatching Control Center of Guizhou Power Grid Guiyang550002 China

ISBN: (纸本)9781643685427

The research and test of the security protection technology of distribution network quantum encryption information based on 5G multi access edge computing applies the communication technology and quantum encryption technology of 5G power private network to the terminal environment of distribution network. Through the integration of quantum key and power service master station, terminal and quantum key, 5G communication and quantum encryption equipment, It enables safe communication between the distribution terminal equipment and the distribution master station, and the system response time is controllable. The results show that in the 5G deployment environment, the maximum delay in 1000 tests is 121.23 ms, while in the 5G+quantum environment, the maximum delay is 200.23 ms. © 2024 The Authors.

关键词： Distribution network information security multi-access edge computing quantum encryption

来源：评论

学校读者我要写书评

暂无评论

A Review on Blockchain Based Security in Education 3

A Review on Blockchain Based Security in Education

引用

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

作者： Sheela Rani, P. Kaveri, C. Nivedha, M. Niveda, S. Lakshi, K. Sandhiya, R. Panimalar Engineering College Information Technology Dept Chennai India

ISBN: (纸本)9798350322842

Blockchain technology is very well positioned, and the education industry may greatly benefit from blockchain technology, which can be used for digital credentials, academic records, learning management systems, funding and payments, research, and collaboration. The development of distributed registries in blockchain technology is employed in educational institutions to provide digital credentials. Learning platforms built on the blockchain can offer individualized learning experiences by monitoring student progress and adapting the content to suit each student's requirements. This study examined the use of blockchain in academic institutions through a review of the literature. It aims to examine the difficulties encountered by educational organizations while deploying an innovative application that provides unchangeable, trustworthy records of students' lifelong learning. Implementing blockchain to address educational obstacles like scalability, integrity, privacy, and security problems. The most problematic and contentious issues relating to blockchain security, challenges, and legislation have been discussed in detail. For blockchain technology to be implemented by higher education as a digital technology, this study offers a translucent exploration of blockchain. © 2023 IEEE.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Enhanced Facial Emotion Detection Using Convolutional Neural Networks and Attention Mechanisms 5

Enhanced Facial Emotion Detection Using Convolutional Neural...

引用

5th IEEE international conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2025

作者： Indhumathy, D. Yeswanth, S. Sri Ramakrishna Engineering College Department of Mathematics Coimbatore India Bannari Amman Institute of Technology Department of Computer Science and Engineering Sathyamangalam Erode India

ISBN: (数字)9798350356236

ISBN: (纸本)9798350356236

Convolutional neural networks are now facing a number of technological obstacles in the field of facial expression identification, including the low automatic recognition rate, the difficulty of effectively recognizing minor changes in facial emotions, and the complexity of feature extraction. In order to enhance automatic facial expression identification, this research suggests a Height Performance Module Implement (HPMI) attention mechanism based on spatial attention. The model concentrates on important spatial characteristics by incorporating this attention mechanism, which improves recognition during training. The VGG-16 network incorporates a spatial attention-based HPMI module that efficiently reduces over fitting, amplifies key information, and suppresses irrelevant data. This facilitates effective information exchange between the network model and the image's key properties. It also deals with the problem of dimensional mismatch between output and input. On the CK+ expression datasets, the approach yields accuracy rates of 97.05%, respectively. According to experimental results, the incorporation of the HPMI module improved accuracy by an average of 3.94%. © 2025 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Assessing the Applicability of Adversarial Machine Learning Approaches for Cybersecurity 2

Assessing the Applicability of Adversarial Machine Learning ...

引用

2nd international conference on Advances in Computation, Communication and information technology, ICAICCIT 2024

作者： Takkalapally, Prashamsh Sharma, Nandan Jaggi, Arjun Hudani, Karim Gupta, Ketan Natarajan, Yuvaraj Department of Engineering Computing and Mathematical Sciences Lewis University United States Senior Security Analyst BC Public Service VictoriaBC Canada HCLTech San DiegoCA United States Tampa FL United States Dept. of Information Technology University of The Cumberlands WilliamsburgKY United States Department of Computer Science Engineering Sri Shakthi institute of engineering and technology Tamil Nadu Coimbatore India

ISBN: (纸本)9798331541217

Adverse machine learning (AML) is a rising area of study that uses system-mastering algorithms to perceive malicious hobbies or to discover malicious adversaries in cybersecurity settings. This research domain combines device-gaining knowledge with game principles to assess and expect the behavior of adversaries. This paper discusses the capacity of using AML tactics for cybersecurity and provides an overview of existing research study findings and safety literature to help the dialogue. Specifically, the paper investigates the security challenges posed by using AML techniques, together with the technical regulations and pointers, to ensure their relaxed and effective deployment. Moreover, the paper offers recommendations and future instructions for furthering studies on AML in cybersecurity. Typical, the evaluation highlights the significance of assessing the applicability of AML techniques for security applications, in addition to its capability to enhance the effectiveness of security systems. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Pre-Trained Encoder Decoder Transformer Model for Language Processing 6

Pre-Trained Encoder Decoder Transformer Model for Language P...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Farhan Akthar, K. Deepaksakthi, V.K. Tamizhselvi, A. Department of Information Technology St.Joseph’s College of Engineering Chennai India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522667

Tamil language processing in NLP has yet to be outstanding, mainly because of the absence of high-quality resources. In this project, a novel approach to address these limitations is to build an encoder-decoder transformer model specifically for the Tamil language. The comprehensive Tamil text dataset is augmented along with transformer architectures to further enhance the performance on tasks such as machine translation, text summarization, and generation. Character-level processing further allows Tamil to some extent to capture subtleties, while the multi-head self-attention mechanisms bring in a new dimension to unveil complex linguistic dependencies of the text. Preliminary results look promising for gaining this efficiency in language processing as it outperformed prevailing approaches in key Tamil NLP tasks. Using the Transformer model for processing the Tamil language holds potential for filling an important gap for underrepresented languages in NLP, and further contributes to developing more inclusive AI. © 2025 IEEE.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

A Simulation Study of Battery Integrated Photovoltaic System for Gram Panchayat Development information Kiosk 5

A Simulation Study of Battery Integrated Photovoltaic System...

引用

5th international conference on Circuits, Control, Communication and computing, I4C 2024

作者： Hemachandra, G. Arakeri, Megha P Lakshmana Samprathi, H.S. Shilpa, H.B. Nanditha, S. Ramaiah Institute of Technology Department of Eee Bengaluru India Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Department of Computer Science and Engineering Manipal India Seamovations Labs Pvt.Ltd Bengaluru India

ISBN: (纸本)9798331528539

In rural India, gram panchayats serve as vital administrative bodies that require access to accurate information on government initiatives aimed at fostering community growth. However, these gram panchayats frequently encounter issues with electricity access, which hampers the setting up and functioning of information systems, for sharing important details with farmers. They need a secure power supply to discharge their functions in a time-bound manner and thereby help fast-track integrated community development. The present work is a feasibility and performance study of an integrated battery photovoltaic power system in developing a gram panchayat information kiosk. This study employs simulations to analyze the performance of battery-integrated PV systems for continuous power supply to information kiosk. Solar irradiance, battery capacity, and energy demand patterns are analysed to optimize the system design and reliable operation. The findings of this simulation study offers valuable insights to rural agencies, and energy practitioners involved in gram panchayat development initiatives. By demonstrating the technical feasibility and economic advantages of battery-integrated PV systems for information kiosks, contributes to advancing sustainable energy solutions tailored to the specific needs of rural communities, ultimately fostering inclusive development and empowerment at the grassroots level. © 2024 IEEE.

关键词： battery gram panchayat information kiosk photovoltaic system rural development

来源：评论

学校读者我要写书评

暂无评论

An Anomaly Detection Method Based on Adaptive Log and Dual Feature Fusion Analysis for Distributed Systems 11

An Anomaly Detection Method Based on Adaptive Log and Dual F...

引用

11th international conference on information Systems and computing technology, ISCTech 2023

作者： Jia, Yijiang Li, Kefei Lu, Ping Xie, Baodi Wang, Huayang Chen, Jincai Huazhong University of Science and Technology School of Computer Science and Technology Wuhan China Huazhong University of Science and Technology Wuhan National Laboratory for Optoelectronics Wuhan China National Key Laboratory of Modeling and Simulation for Complex Systems Beijing China

ISBN: (纸本)9798350342406

In this study, we present a middleware-based approach for detecting anomalies in distributed systems. Our method facilitates the dynamic collection of logs at various levels of detail and incorporates an a priori dictionary-based compression strategy to process and transmit logs, minimizing the performance impact on distributed systems. Additionally, we utilize a dual feature fusion technique to analyze the logs. We evaluate the effectiveness of our approach by performing anomaly detection in a publish/subscribe distributed system and comparing it with existing methods. The results illustrate that our method outperforms other approaches, demonstrating superior performance. © 2023 IEEE.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Optimizing Hyperspectral Anomaly Detection with a Scalable Quantum Snow Geese Non-Local Neural Network Algorithm 4

Optimizing Hyperspectral Anomaly Detection with a Scalable Q...

引用

4th international conference on Ubiquitous computing and Intelligent information Systems, ICUIS 2024

作者： Ramkumar, M.Siva Emayavaramban, G. Latha, G.Charlyn Pushpa Giri, Jayant Al-Qawasmi, Khaled Sns College of Technology Department of Ece India Jct College of Engineering and Technology Department of Ece India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Dept of Information Technology Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India Saveetha University Department of Vlsi Microelectronics TN Chennai602105 India Zarqa University Faculty of Information Technology Department of Cyber Security Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331529635

Hyperspectral Anomaly Detection (HAD) focuses on identifying unusual objects or patterns in hyperspectral imagery (HSI) that differ from the normal background or surrounding pixels. In the past two decades, anomaly detection (AD) has become essential in hyperspectral image analysis, offering a novel approach to differentiate targets from the background without requiring prior information. Current methods face multiple drawbacks, either by neglecting the problem of low resolution or by depending on super-resolution models that aim to reconstruct the entire image, which can result in ineffective detection of abnormal pixels. To address these challenges, a Scalable Quantum Snow Geese Non-local Neural Network Algorithm (ASQSGNon-LNNet) is introduced for hyperspectral anomaly detection, aimed at achieving high accuracy. In this approach, input images are sourced from the ABU-urban dataset. First, the features of these input images are extracted using the Memory Efficient Vision Transformer (ME-ViT) method. Subsequently, the extracted features undergo Hyperspectral Super Resolution using the Deform-Mamba Network. After that, anomaly detection is conducted using a Scalable Quantum Non-local Neural Network (SQNonL-NNet), optimized by the Snow Geese Algorithm (SGA), leading to automated hyperspectral anomaly detection with improved efficiency and accuracy. The performance of the proposed ASQSGNon-LNNet is assessed using the ABU-urban dataset, achieving an accuracy of 99.8% and surpassing existing methods. The results of this technique reveal unusual patterns or objects in hyperspectral images by analyzing their spectral signatures and enhancing accuracy in detecting hidden or subtle anomalies in remote sensing, environmental monitoring, and military applications. This technology provides greater accuracy than traditional methods. © 2024 IEEE.

关键词： Snow

来源：评论

学校读者我要写书评

暂无评论

Vehicular Network Security: Threats, Vulnerabilities and Countermeasures 15

Vehicular Network Security: Threats, Vulnerabilities and Cou...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Dhabliya, Dharmesh Thangarasu, N. Khurana, Shivam Raajini, X. Mercilin Goyal, Shobhit Arunkumar, D.T. Vishwakarma Institute of Technology Department of Information Technology Maharashtra Pune India Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research for Business and Technology Punjab India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Mechaical Engineering Karnataka Bangalore India

ISBN: (纸本)9798350370249

Vehicular community protection (VNS) covers a diffusion of security measures to ensure the secure, cozy, and dependable operation of motors on the street. VNS is an essential software of the Internet of Things, and its safety features are critical in the prevention of injuries, intrusion, and malicious interference. Most of the prevailing VNS solutions depend on verbal exchange protocols, consisting of 802.11p and DSRC, with the purpose of shielding the integrity, privacy, and protection of the records transmitted in the network. However, there needs to be more comprehensive studies on the threats, vulnerabilities, and countermeasures associated with VNS. The primary threats to VNS encompass guy-in-the-middle assaults, spoofing, and denial-of-provider assaults. These attacks take advantage of vulnerabilities in the protection mechanisms that defend vehicular network verbal exchange and may lead to privacy breaches, lack of statistics, or maybe hijacking of the car. Capacity vulnerabilities include insufficient encryption and authentication of the information transmitted inside the vehicular community, lax authentication processes, vulnerable memory control, and inadequate access control. Furthermore, the multiplied connectivity of cars to the internet and the global Wi-Fi will increase the hazard from malware and other malicious code. © 2024 IEEE.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

Generation Z: How Acceptable Health Application for Us? 13

Generation Z: How Acceptable Health Application for Us?

引用

Joint 13th international conference on Soft computing and Intelligent Systems and 25th international Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024

作者： Mulia, Johan Kristian Wella Universitas Multimedia Nusantara Information System Study Program Tangerang Indonesia

ISBN: (纸本)9798350373332

Over the course of the last three years, the whole global population has been impacted by a COVID-19 epidemic. As a result of the ongoing pandemic crisis, all human activities have been halted, including remote office work and the closure of crowded locations to further prevent the spread of the virus. The COVID-19 pandemic has led to a significant increase in medical activities, thereby necessitating the employment of digital technology to provide support in managing the situation. One such technology is the Halodoc application, which enables the public to access medical aid without the need for direct contact. This study aims to examine the public's acceptance of the Halodoc application as a result of its usage. The intended participants are those belonging to Generation Z, born between the years 1995 and 2015. Generation Z was selected due to their status as digital natives, meaning they were born into a world where technology is prevalent and constantly evolving. The study utilized the Structural Equation Model (SEM) method to examine the level of acceptance of Generation Z towards the Halodoc application. The technology Acceptance Model (TAM) was employed as a reference model for this analysis. The analysis will determine whether the model proposed in this study is accepted. This will be done by conducting tests using Structural Equation Modeling (SEM) and presenting graphical results from the questionnaire. By doing these tests, it may be determined whether the Halodoc application is deemed acceptable by Generation Z. © 2024 IEEE.

关键词： COVID-19

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 << < 480 481 482 483 484 485 486 487 488 489 > >>

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：