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4691-4700 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：

Integration of Cloud computing, IoT, and Big Data for the Development of a Novel Smart Agriculture Model 3

Integration of Cloud Computing, IoT, and Big Data for the De...

引用

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

作者： Rao, Molli Srinivasa Modi, Sanjay Singh, Rajat Prasanna, K. Lakshmi Khan, Shakir Ushapriya, C. Dadi Institute of Engineering & Technology Anakapalle Department of Cse Visakhapatnam India Lovely Professional University Punjab Phagwara India Uttaranchal University Uttaranchal Institute of Technology India Sr University School of Agriculture Telangana Warangal India College of Computer and Information Sciences Riyadh Saudi Arabia University Centre for Research and Development Chandigarh University Department of Computer Science and Engineering Mohali140413 India St. Martin's Engineering College Department of Cse Telangana Secunderabad India

ISBN: (纸本)9798350399264

Since the traditional data paradigm cannot handle the volume of information generated by IoT (Internet - of -things) gadgets, cloud storage is now required. These data have been examined using big mining techniques. When evaluating the viability of smart agriculture, the Internet of Farmers must use technologies of information and communication (ICT) in their daily lives to get agricultural information. Crop growth observing, fertilizer classification and irrigation support systems use IoT. This article investigates and optimizes the large amounts of data produced during the farming process, but it seems to be analyzing data mining using the automated k-means system according to the maximum speed. The crop growth curve is intended to simulate the earliest K-means methodology. The experimental findings support the idea that clustering algorithms provide overall benefits in the F mutual information of 7.67% and just a decrease in the total period of 0.23 seconds is supported. Because it can more efficiently realize the operational processes of reliable information communication and data processing, the algorithm presented in this article has a major effect on advancing agronomic information technology. © 2023 IEEE.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Data mining of encrypted network traffic for adult content and gambling Android applications 3

Data mining of encrypted network traffic for adult content a...

引用

3rd international conference on Electronic information Engineering, Big Data, and Computer technology, EIBDCT 2024

作者： Wang, Luhua Ning, Zhengyao Cheng, Yanan Li, Yitao Zhang, Zhaoxin The National Computer Network Emergency Response Technical Team/Coordination Center of China Beijing China Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9781510680449

With the advancement of mobile computing technology, there has been a rampant increase in mobile-based pornography, gambling, and scams in the recent past, leading to deception and loss of personal property, resulting in serious societal and legal issues. Therefore, we decided to investigate adult and gambling applications, discover, and analyze their encrypted traffic characteristics. We crawled a massive database of malicious domains and automatically downloaded data, including 687 gambling applications and 334 adult Android applications. This paper presents an empirical research study based on the real traffic of mobile pornography and gambling applications, delving into data mining and analyzing their traffic characteristics at the packet and session flow levels. As these applications involve the dissemination of adult content and scams, running them on an emulator and collecting traffic files does not constitute a violation of privacy. Through quantitative analysis of the encrypted traffic features of such applications, this research aims to provide assistance in the identification and classification of adult and gambling applications and related tasks. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Data mining

来源：评论

学校读者我要写书评

暂无评论

A Multivocal Literature Review on Prototype Pollution Vulnerability

A Multivocal Literature Review on Prototype Pollution Vulner...

引用

2023 international conference on information technology and computing, ICITCOM 2023

作者： Hakim, Ismail Abdurrahman Widyawan Mustika, I Wayan Prasetyo, Eko Universitas Gadjah Mada Dept. of Electrical Engineering and Information Technology Yogyakarta Indonesia Universitas Muhammadiyah Dept. of Information Technology Bantul Yogyakarta Indonesia

ISBN: (纸本)9798350359633

JavaScript is one of the most widely used languages in modern web development. The unique way JavaScript inherits properties and methods between objects leads to a unique vulnerability called prototype pollution. In this paper, we study the problem in a holistic way using a multivocal literature review (MLR). It includes reviews of grey literature (GL) reviews in addition to formal literature to summarize the state of the art and current practice on this topic. We found that the impact of this vulnerability varies due to different implementations of JavaScript, e.g., denial of service (DoS), property injection, session fixation, remote code execution (RCE), privilege escalation, SQL injection, and cross-site scripting (XSS). We also found several methods to detect and mitigate prototype pollution. These include static analysis, dynamic analysis, and hybrid analysis for prototype pollution detection and analysis. Many concerned companies are also successfully mitigating the supply-chain risk of prototype pollution through security crowdsourcing, such as running a bug bounty program, managing an advisories database, and private reporting. © 2023 IEEE.

关键词： Static analysis

来源：评论

学校读者我要写书评

暂无评论

Research on Resonant Characteristics of Microwave Band split-ring Metasurfaces 11

Research on Resonant Characteristics of Microwave Band split...

引用

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

作者： Li, Zonghui Gao, Ju Che, Xin Beijing University of Technology Faculty of Information Technology Beijing China

ISBN: (纸本)9798350342406

This paper presents an analysis of the resonance principles of split-ring metasurfaces in the microwave band. We examine the resonance characteristics of U-shaped rings in the microwave band and investigate the impact of different degrees of disorder on the resonance characteristics. For two cases where the polarization direction of the electromagnetic wave is parallel and perpendicular to the opening of the U-shaped ring. The results reveal that resonances of different orders exhibit different responses to positional disorder. In the case of the polarization direction parallel to the opening of the U-shaped ring, the two main resonance modes exhibit different behaviors with positional disorder. The first-order resonance is incoherent and the second-order resonance is coherent. When the polarization direction of the electromagnetic wave is perpendicular to the opening of the U-shaped ring, the resonances also exhibit coherent behavior. Our research findings will effectively promote the development of disordered metasurfaces technology and provide a relevant theoretical basis for the application of metamaterials in the field of remote sensing detection. © 2023 IEEE.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Dynamic Scheduling Algorithms for Serverless computing Solutions in the Cloud

Dynamic Scheduling Algorithms for Serverless Computing Solut...

引用

2024 international conference on E-Mobility, Power Control and Smart Systems, ICEMPS 2024

作者： Mohammed, Abdul Sajid Saddi, Venkata Ramana Gopal, Santhosh Kumar Jiwani, Nasmin Logeshwaran, J. School of Computer and Information Sciences University of The Cumberlands KY United States Ace American Insurance Chubb Group RaleighNC United States Sciences CharlotteNC United States University of The Cumberlands Dept. of Information Technology WilliamsburgKY United States Sri Eshwar College of Engineering Department of Electronics and Communication Engineering Coimbatore India

ISBN: (纸本)9798350394399

Server less computing solutions within the cloud presentsan exceptional opportunity for corporations to gain progressed scalability, availability, and fee efficiency. To reap such blessings, establishments need to utilize the handiest dynamic scheduling algorithms that are tailor-made to their unique needs. These algorithms can include predictive scheduling, call for-driven scheduling, and application-conscious scheduling, among others. Predictive scheduling algorithms are looking for to expect capacity call for to prevent erratic performance. This study focuses on dynamic scheduling algorithms for serverless computing solutions in the cloud. The researchers explore the characteristics of serverless computing models and the challenges of dynamic scheduling. A comprehensive evaluation is conducted on various scheduling algorithms, taking into consideration performance metrics such as throughput, response time, and resource utilization. The results show that dynamic scheduling algorithms are effective in optimizing resource allocation and improving overall system performance. Specific values derived from the results include a significant reduction in resource wastage, improved scalability, and increased cost-effectiveness. These findings suggest that dynamic scheduling algorithms are crucial for efficient and scalable serverless computing solutions in the cloud. With the aid of applying the maximum suitable dynamic scheduling algorithms tailor-made to precise desires, corporations could be higher prepared to fulfill their formidable cloud-computing dreams. © 2024 IEEE.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

Prompt-based Generation of 3D Textured Human with Motion Rigging 8

Prompt-based Generation of 3D Textured Human with Motion Rig...

引用

8th IEEE international conference on computing, Communication, Control and Automation, ICCUBEA 2024

作者： Ghadekar, Premanand Gonepuri, Ajay Deshpande, Prathamesh Dharwadkar, Mayuresh Dhole, Vedant Sonkamble, Pranav Vishwakarma Institute of Technology Department of Information Technology Pune India

ISBN: (纸本)9798350391770

Recent advances in domains such as High Performance computing (HPC) and proliferation of Machine Learning have led to great strides in the domain of 3D model generation. Several technologies, such as the Metaverse, AR/VR applications and game development have benefited tremendously from this phenomenon as it makes the tedious and time-consuming process of 3D modeling convenient. In real-world applications such as gaming, virtual reality, and augmented reality, 3D models with predefined articulated structures are essential for immersive experiences and lifelike animations. The solution proposed in this paper aims to expedite the arduous process of manually annotating articulation points within 3D models, a prevalent necessity with current models. By integrating an automated articulation definition mechanism into our model, we streamline the animation workflow and enhance user efficiency. With a CLIP Score of 0.548, the 3D model itself is sufficiently high quality enough to serve this purpose. This functionality enables expedited animation creation and fosters smoother workflow by providing predefined articulation points within the 3D models. © 2024 IEEE.

关键词： Digital elevation model

来源：评论

学校读者我要写书评

暂无评论

Edge computing and Distributed Ledger technology for the Industrial IoT 11

Edge Computing and Distributed Ledger Technology for the Ind...

引用

11th IEEE international conference on Intelligent computing and information Systems, ICICIS 2023

作者： Abo-Soliman, Mohamed Ahmed Shabaan, Eman Al-Qutt, Mirvat Emara, Kareem Ain Shams University Computer Systems Department Cairo Egypt

ISBN: (纸本)9798350322101

The tremendous increase in implementing IoT devices for critical infrastructures yells for higher performance and robust protection. Traditional cloud based IoT architecture is unsuitable for delay-sensitive or real-time applications and lacks the robust security needed by industrial systems. Thus, new technologies are introduced to endorse the industry's digital transformation. Edge computing greatly satisfies required performance while Distributed Ledger technology (DLT) mitigates potential data compromises. This work proposes an integrated four layers architecture based on Edge computing and DLT that provides efficient computing, security, and scalability. Edge computing handles transmission delay and scalability issues, while DLT handles data validation and trust. A lightweight DLT model is introduced to enable faster data commitment and better networking. The model incorporates two main features: a new grouping technique that enables network segmentation reducing network complexity. The second technique dynamically optimizes resource-utilization by adjusting DLT requirements according to the hardware capabilities of each participating node. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Management of Business Using Machine Learning for Decision Making 2

Management of Business Using Machine Learning for Decision M...

引用

2nd IEEE international conference on Trends in Quantum computing and Emerging Business Technologies, TQCEBT 2024

作者： Manoharan, Geetha Preetha, P. Nithya Nandhini, S. Santhanalakshmi, K. Balaji, K.D. Raja, Vijay School of Business Sr University Telangana Warangal India Srm Institute of Science and Technology University Department of Controller of Examinations Tamil Nadu Kattankulathur India Srm Vadapalani GroupNo.1 Jawaharlal Nehru Road Chennai India Faculty of Management Srm Institute of Science and Technology TamilnaduKanchipuram district Kattankulathur603203 India Faculty of Management Srmist Tamil Nadu Kattankulathur603203 India Faculty of Management Srm Institute of Science and Technology Tamil NaduKattankulathur Campus India

ISBN: (纸本)9798350384277

Businesses throughout the world are focusing on extracting more benefit from information gathered from different places. The goal of this investiagtion is to look at the main elements of machine learning (ML) for arriving at optimal economic decisions. Business management are today confronted with a massive amount of data that must be kept, examined, and recovered in order to arrive at successful decisions and gain a competitive benefit. ML is primarily concerned with managing business processes with little or no human participation. The ML approaches allow for the analysis and recognition of patterns in big data sets and offer the required data to business management for successful decision making in various sectors such as economics, advertising, logistics, human resources, *** allows the shift from physically preserved information to digitally recorded information, allows increasing memory, and aids with economic decision-making among additional things. ML additionally allows the extraction of quality signals and predicting information from the dataset and stimulates development. The utilization of ML has become an essential tool that is being utilized in the present compatible sector, and it has provided additional possibilities for business management to leverage a great deal of information. This research is concentrated on tackling the utilization of ML in creating successful economical decision making for businesses management. To explore the role of ML in economical decision making, the project aims to gather information from staff, supervisors, and corporate executives in a variety of sectors. © 2024 IEEE.

关键词： and Economical decision-making Business management Machine learning

来源：评论

学校读者我要写书评

暂无评论

Application of Encryption technology in information Security of the Internet of Things Perception Layer 12

Application of Encryption Technology in Information Security...

引用

12th international conference of information and Communication technology, ICTech 2023

作者： Yin, Jian Zheng, Congyi Zheng, Dongxi Guangdong Weide Information Technology Co. Ltd Guangdong Guangzhou510700 China

ISBN: (纸本)9798350332919

Because the IoT (Internet of things) perception layer has a large number of nodes, limited computing and storage capabilities, and complex data types and network types, attackers can attack the loT perception layer with devices with good endurance, computing and storage capabilities, thus threatening the security of the sensing environment. In this paper, the application of encryption technology in information security of loT perception layer is studied. In order to make up for the huge overhead problem faced by Server in the existing research, this paper introduces fog nodes and constructs a fog-assisted crowdsourcing task assignment and swarm intelligence perception data aggregation model. Using fog nodes to assist the sensing platform to achieve large-scale task allocation and data aggregation. In order to protect their data privacy, participants choose to encrypt the data before submitting the perceived data to the fog node. The simulation results show that the reading efficiency of this method is greatly improved compared with other existing methods. The non-monotonic jump of the throughput rate of each method is because the setting of the initial frame is more suitable for reading the number of tags in this method. Simulation results show the effectiveness and efficiency of the proposed scheme. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Visual Question Generation Using Deep Learning 4

Visual Question Generation Using Deep Learning

引用

4th IEEE international conference on computing, Communication, and Intelligent Systems, ICCCIS 2023

作者： Rathi, Snehal Raje, Atharv Ghule, Gauri Sankpal, Shruti Shitole, Soham More, Priyanka Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Vishwakarma Institute of Information Technology Department of Electronics and Telecommunication Pune India Vishwakarma Institute of Information Technology Department of Information Technology Pune India

ISBN: (纸本)9798350306118

The natural task of human intelligence is to ask a question. Asking curious questions is an aspect of human curiosity that leads to inventions and discoveries. The task of converting visual scenes into different languages, questions, answers, and even examples, has been widely interpreted as image-sequencing the program and the reconstruction of the Network in which the image was created. To go beyond the real thing, we have chosen to examine whether questions about any image are often directed at emotional intelligence, that's why in artificial intelligence train systems to generating questions is an important task. We have proposed a model that generates image questions using deep learning algorithms. This is a basic model which can be further extended to do more specific tasks of question generation with the relevant dataset. This question generation technique will help in creating question banks and assist in many teaching activities. © 2023 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500页 << < 466 467 468 469 470 471 472 473 474 475 > >>

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：