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

2,680 篇 会议
40 册 图书
40 篇 期刊文献

馆藏范围

2,759 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

1,879 篇 工学
- 1,599 篇 计算机科学与技术...
- 778 篇 软件工程
- 500 篇 信息与通信工程
- 388 篇 电气工程
- 171 篇 控制科学与工程
- 67 篇 生物工程
- 60 篇 电子科学与技术（可...
- 48 篇 仪器科学与技术
- 46 篇 机械工程
- 41 篇 动力工程及工程热...
- 34 篇 安全科学与工程
- 31 篇 网络空间安全
- 27 篇 环境科学与工程（可...
- 25 篇 建筑学
- 22 篇 生物医学工程（可授...
- 20 篇 土木工程
- 19 篇 交通运输工程
363 篇 理学
- 219 篇 数学
- 80 篇 生物学
- 60 篇 物理学
- 49 篇 统计学（可授理学、...
- 40 篇 系统科学
306 篇 管理学
- 213 篇 管理科学与工程(可...
- 117 篇 图书情报与档案管...
- 96 篇 工商管理
43 篇 医学
- 28 篇 临床医学
- 26 篇 基础医学(可授医学...
- 18 篇 公共卫生与预防医...
40 篇 法学
- 28 篇 社会学
39 篇 经济学
- 39 篇 应用经济学
12 篇 农学
11 篇 教育学
9 篇 文学
3 篇 军事学

主题

239 篇 cloud computing
171 篇 distributed comp...
154 篇 social networkin...
80 篇 protocols
79 篇 computational mo...
76 篇 computer archite...
68 篇 servers
66 篇 mobile computing
57 篇 wireless sensor ...
53 篇 internet of thin...
53 篇 distributed data...
50 篇 resource managem...
49 篇 security
48 篇 computer network...
47 篇 distributed comp...
44 篇 peer to peer com...
43 篇 bandwidth
43 篇 mobile communica...
42 篇 edge computing
41 篇 grid computing

机构

36 篇 state key labora...
14 篇 saint petersburg...
11 篇 beijing univ pos...
9 篇 institute of com...
8 篇 beijing universi...
8 篇 lakhshya cyber s...
8 篇 amrita vishwa vi...
8 篇 lakhshya cyber s...
8 篇 tu wien distribu...
6 篇 center for compu...
6 篇 school of comput...
6 篇 plekhanov russia...
6 篇 institute of inf...
5 篇 department of ph...
5 篇 dept. of astrono...
5 篇 dept. of physics...
5 篇 dept. of physics...
5 篇 columbia astroph...
5 篇 iii. physikalisc...
5 篇 dept. of physics...

作者

11 篇 dustdar schahram
10 篇 yang yang
9 篇 soman k. p.
9 篇 vinayakumar r.
8 篇 bandyopadhyay su...
8 篇 bogdanov alexand...
8 篇 pradeep menon
8 篇 menon pradeep
7 篇 r vinayakumar
7 篇 zomaya albert y.
7 篇 kp soman
7 篇 korkhov vladimir
6 篇 calton pu
6 篇 jaekel arunita
6 篇 li jinglin
6 篇 degtyarev alexan...
6 篇 taheri javid
5 篇 huang tao
5 篇 haungs a.
5 篇 fürst p.

语言

2,711 篇 英文
32 篇 中文
17 篇 其他
4 篇 俄文

检索条件"任意字段=9th International Conference on Distributed Computing and Networking"

共 2760 条记录，以下是301-310 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：

An Enhanced Approach for Fake News Detection using Ensemble Techniques

An Enhanced Approach for Fake News Detection using Ensemble ...

引用

international conference on Advanced computing and Communication Systems (ICACCS)

作者： Gethsia P Sujitha Juliet Department of Computer Science and Engineering Karunya Institute of Technology and Sciences India

the internet has made it possible for people to access news and information from all over the world, at any time and from any device. Because of the increased use of social media outlets like Twitter and Facebook, news can reach thousands of people in a very short time. It is challenging to find informative content since false information is provided to lead readers to believe false ads. Additionally, Spammers frequently lure readers to click on links that lead to phony websites by using spectacular news headlines. A hybrid approach incorporating ensemble learning with natural language processing should be used to solve this issue. this paper offers a concept and a mechanism for identifying false news using an enhanced machine learning-based approach with a voting classifier. the ensemble learning model helps us to mitigate the individual faults of various models while utilizing their combined strengths to identify patterns in the datasets. By aggregating data points from various domains, classifiers can automatically identify false news and the authenticity of news after being trained on a data set. Improved accuracy, robustness, adaptability, and interpretability are the outcomes of the voting classifier.

关键词： Training Adaptation models Social networking (online) Robustness Real-time systems Natural language processing Ensemble learning

来源：评论

学校读者我要写书评

暂无评论

Prevention of Cyber Attacks Using Deep Learning

Prevention of Cyber Attacks Using Deep Learning

引用

international conference on Advanced computing and Communication Systems (ICACCS)

作者： Andhoju Karthikeya Yasa Bharath Sai Shanmugasundaram Hariharan Alwal Chaitanya Rao Dodla Jignash Andraju Bhanu Prasad Department of Computer Science and Engineering Vardhaman College of Engineering Hyderabad India

Today, technology has become a integral part of the day-to-day life for everyone of us. It has become very advanced, where doing bad has become more simpler than doing good. One such bad things done using technology is cyber attack. A cyber attack is the attack done by the hackers, phishers using internet as the medium. Phishing, website scamming are the most common cyber attacks committed by the cybercriminals. Phishing is the practice of stealing the sensitive, personal data from the victim machine via anonymous URL’s. these URL’s are sent to victim’s (user’s) machine via emails, SMS (smishing) and other social media. Website Scamming is the practice of making financial scams(done by hackers) through fraudulent e-commerce websites and payment gateways. the proposed work focuses on making an ideal application, which could detect if the URL is genuine or not so that many people who are exploring those fake sites and URLs, can be prevented from becoming the victims of the cyber attacks.

关键词： Deep learning Uniform resource locators Support vector machines Computer hacking Social networking (online) Phishing Computational modeling

来源：评论

学校读者我要写书评

暂无评论

Stock Market Prediction Using Sentiment Analysis and Incremental Clustering Approaches

Stock Market Prediction Using Sentiment Analysis and Increme...

引用

international conference on Advanced computing and Communication Systems (ICACCS)

作者： Leela Satish Parvatha Devu Naga Veera Tarun Mentem Yeswanth Jonnalagadda. Surya Kiran Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram A.P India

Sentimental analysis is one of the techniques of Natural Language Processing. It helps us to determine the polarity of the given data: Negative, Positive or Neutral. We know that predicting the prices of Stocks are hard as they are Unstable. Sentimental Analysis helps us to predict the prices of Stocks. the stock prices can be predicted by taking raw data from various social media platforms and these are converted into valuable data by using Sentimental analysis. We observed that we can get more accuracy when we supply more data. DB Scan is an algorithm which is used to form clusters dynamically with the help of eps value. the number of clusters formed will be dependent on the eps value given to the algorithm. And comparing the results of different algorithms tells us which algorithm is best for stock price prediction. Developing the DBSCAN from scratch will gives the flexibility to change the algorithms accordingly and also, we can use the values like centroids in the model. and these results are compared with the algorithms like KMEANS, LSTM, CNN, with the parameters like MAE, MSE, RMSE.

关键词： Sentiment analysis Social networking (online) Heuristic algorithms Computational modeling Clustering algorithms Companies Predictive models

来源：评论

学校读者我要写书评

暂无评论

DRAM Failure Prediction in Large-Scale Data Centers 12

DRAM Failure Prediction in Large-Scale Data Centers

引用

12th IEEE international conference on Joint Cloud computing (IEEE JCC) / 9th IEEE international conference on Mobile Cloud computing, Services, and Engineering (IEEE MobileCloud)

作者： Yu, Fengyuan Xu, Hongzuo Jian, Songlei Huang, Chenlin Wang, Yijie Wu, Zhiyue Natl Univ Def Technol Coll Comp Changsha Peoples R China Sci & Technol Parallel & Distributed Proc Lab Changsha Peoples R China

ISBN: (纸本)9781665434799

Cloud computing is developing rapidly. Data centers are important infrastructures of cloud service and JointCloud structure. DRAM failure is one of the main causes which can lead to node outage in data centers. this paper proposes a decision-tree-based DRAM failure prediction method for large-scale data centers of cloud service. We utilize the first public-available DRAM failure prediction dataset released in PAKDD 2021 AIOps competition. We construct a suite of handcrafted features based on the system kernel log data and MCA log data. Feature engineering is detailedly introduced in this paper, which can inspire and foster future research in this field. Harnessing the power of a state-of-the-art classifier (i.e., XGBoost), our method can effectively and timely predict DRAM failures. Our solution has good performance on the PAKDD 2021 dataset, it can generally achieve more than 60% precision in the validation phase. Extensive experiments investigate the performance of variants of our method to validate the significance of different strategies in the proposed solution.

关键词： DRAM error Tree-based Model Feature Engineering

来源：评论

学校读者我要写书评

暂无评论

Text-Based Sentimental Analysis to Understand User Experience Using Machine Learning Approaches

Text-Based Sentimental Analysis to Understand User Experienc...

引用

international conference on Advanced computing and Communication Systems (ICACCS)

作者： R. Gokulapriya Rakoth Kandan Sambandam M. Balamurugan Dept. of Computer Science and Engineering SOET CHRIST (Deemed to be University) Bengaluru India

Data Analysis is turning into a driving force in every industry. It is a process in which data is analyzed in multiple ways to come to certain conclusions for the given situation. Sentiment analysis can be said to be a sub-section of data analysis where analysis is carried out on the emotions and opinions of the text. Social media has a plethora of sentiment data in various forms such as tweets, updates on the status, and so forth. Sentiment analysis on the huge volume of data can help in identifying the opinions of the general *** primary goal is to find the opinion of customers on the services of the Bangalore airport and to enhance the nature of these services according to the feedback provided. In this paper, we aim to measure customer opinion on services provided by Bangalore Airport through sentiment. Data is collected by a python-based scraper. the tweets are processed to determine whether they are of positive or negative opinion. these opinions are then analyzed to determine the factors which cause the negative opinions and the airport staff are alerted about the same. Various algorithms were used as part of the experimental analysis. LSTM produces more accuracy compared with existing approaches.

关键词： Sentiment analysis Data analysis Social networking (online) Terminology Blogs Machine learning White spaces

来源：评论

学校读者我要写书评

暂无评论

Design and Analysis of Proposed Smartphone-based distributed Parallel Processing System

Design and Analysis of Proposed Smartphone-based Distributed...

引用

international Engineering conference (IEC)

作者： Nashma Taha Muhammed Zryan Najat Rashid Subhi R. M. Zeebaree Yousif Sufyan Jghef Rowaida Khalil Ibrahim Teba Mohammed Ghazi Sami IT Department Sulaimani Polytechnic University Sulaymani Iraq Computer Network Department Sulaimani Polytechnic University Sulaymani Iraq Energy Eng. Department Duhok Polytechnic University Duhok Iraq Computer Eng. Department Knowledge University Erbil Iraq Computer Science Department University of Zakho Duhok Iraq

Online storage and use of digital assets and applications are both aspects of cloud computing. through a computer network, distributed information systems store and transmit data. Data and effort have both grown for studying and keeping track of outcomes. Cloud-based parallel processing techniques must be improved. Our research hastens the resolution of interactive composite jobs. In this innovative architecture, cell phones act as servers for distributed parallel processing and cloud computing. Users with restricted availability could find the update useful for completing challenging jobs. the recommended strategy is supported by cloud computing, which may expand to infinity servers (webserver). Servers between clients and servers are automatically registered by web servers. Cloud storage and client-side matrices (web server). To ensure timely completion, the server distributes matrix algebra assignments to all subscribed workstations. Before transmitting results to the user, the server uploads them to the cloud. A large number of sets of two-dimensional matrices were requested from the user, and the responses were compared to the total number of servers that were available.

关键词：

来源：评论

学校读者我要写书评

暂无评论

DDoS Attack Detection and Mitigation in Software-Defined networking-Based 5G Mobile Networks with Multiple Controllers 9

DDoS Attack Detection and Mitigation in Software-Defined Net...

引用

9th international conference on Future Internet of things and Cloud, FiCloud 2022

作者： Sheibani, Morteza Konur, Savas Awan, Irfan University of Bradford Faculty of Engineering and Informatics Department of Computer Science Bradford United Kingdom

ISBN: (数字)9781665493505

ISBN: (纸本)9781665493505

the increased risk of distributed Denial-of Service (DDoS) attacks is one of the crucial security issues for 5G networks. Software defined networking (SDN) is one of the key solutions for the centralised control of network behavior for detection and mitigation of network attacks. Single centralised controllers for the SDN-based 5G networks lead to many problems concerning scalability, reliability and other system-related performance. In this respect, employing dispersed controllers will provide a vital solution. However, there are still some issues such as how to equalise the processing burden among these controllers and how to employ multi-controllers to improve the security aspects of the SDN-based 5G networks. In this paper, we propose a new method to equalise the processing burden among the dispersed controllers in SDN-based 5G networks in a dynamic manner. the proposed system employs two levels of controllers: dispersed controllers and a master controller. the master controller manages and performs the grouping of the dispersed controllers. the decision of the groups' reconstruction is the responsibility of the master controller and it is based on the processing burden of the dispersed controllers. the proposed dispersed algorithm is employed in 5G networks to detect and mitigate the DDoS attacks. the simulation results prove that the proposed system performs well in equalising the processing burden among controllers and detection and mitigation of DDoS attacks. © 2022 IEEE.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

Enhancing Resilience against DDoS Attacks in SDN -based Supply Chain Networks Using Machine Learning

Enhancing Resilience against DDoS Attacks in SDN -based Supp...

引用

international conference on Control, Decision and Information Technologies (CoDIT)

作者： Anass Sebbar Karim Zkik TICLab International University of Rabat ESIN Rabat Morocco ESAIP Ecole d'Ingenieur CERADE Angers France

distributed Denial of Service (DDoS) attacks are becoming increasingly common and sophisticated, and supply chain networks are particularly vulnerable to these types of attacks due to their reliance on interconnected systems. Software-Defined networking (SDN) has the potential to enhance resilience against DDoS attacks by providing a centralized control mechanism and the ability to reroute traffic dynamically. However, traditional methods for detecting and mitigating DDoS attacks in SDN-based networks may not be sufficient to protect against these threats fully. In this paper, we propose the use of machine learning techniques to detect and mitigate DDoS attacks in SDN-based supply chain networks. We will investigate how the centralized control mechanism of SDN can be leveraged to improve the effectiveness of machine learning-based DDoS attack detection and mitigation. Additionally, we evaluated these techniques' performance and effectiveness and discussed the trade-offs and limitations of using machine learning for DDoS attack detection and mitigation in SDN-based supply chain networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

MQTT-CB: Cloud Based Intelligent MQTT Protocol 9th

MQTT-CB: Cloud Based Intelligent MQTT Protocol

引用

9th EAI international conference on Industrial Networks and Intelligent Systems, INISCOM 2023

作者： Erol, Muhammed Raşit Bilen, Tuğçe Özdem, Mehmet Canberk, Berk Department of Computer Engineering Istanbul Technical University Istanbul Turkey Innovation and Product and Service Development Directorate Türk Telekom Istanbul Turkey School of Computing Engineering and the Build Environment Edinburgh Napier University Edinburgh United Kingdom

ISBN: (纸本)9783031473586

the MQTT protocol, which stands for Message Queuing Telemetry Transport, is widely recognized within the IoT community as one of the most frequently utilized communication protocols. Conventional MQTT protocols described in the literature could improve their capacity to support distributed environments and scalability. In this manner, MQTT-ST is an advanced MQTT protocol that provides bridging capabilities within a distributed environment, making it a preferred option for IoT systems. In this study, we introduce a new, intelligent, scalable, and distributed MQTT-ST-based protocol named MQTT-CB. Our approach leverages containers to improve portability, and our protocol is designed with a cloud-based architecture that streamlines deployment. the primary contribution of our research is the integration of intelligent capabilities into the MQTT-ST protocol, utilizing an LSTM (Long Short-Term Memory) network, which is the leading deep learning model. Specifically, our protocol employs predictive algorithms to foresee retransmitted packets, dynamically adjusts the number of brokers in real-time, and reduces the number of brokers when clients are inactive. Our experiments demonstrate that our protocol significantly outperforms conventional MQTT-ST protocol regarding latency between subscribers and publishers. Furthermore, our protocol adapts seamlessly to changes in the publication rate. In summary, we present a cloud-based intelligent MQTT protocol that offers significant advantages over traditional MQTT-ST protocol. © 2023, © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Containers

来源：评论

学校读者我要写书评

暂无评论

computing Service Discovery and Scheduling Mechanism Based on Multidimensional Unified Identifier

Computing Service Discovery and Scheduling Mechanism Based o...

引用

international conference on Computers, Communications, and Systems (ICCCS)

作者： Fangtao Yao Shuai Gao Xindi Hou Jianchao Zhang School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Peng Cheng Laboratory PCL Research Center of Networks and Communications Shenzhen China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

the surge in ubiquitous computing resources has propelled the evolution of computing-aware networking. Nonetheless, the majority of existing computing service discovery and scheduling mechanisms suffer from deficiencies such as sub-optimal search efficiency and algorithmic shortcomings, leading to low solution quality and efficiency. In response, this paper proposes a computing service discovery and scheduling mechanism founded on multi-dimensional unified identifier. Initially, a computing service architecture rooted in multi-dimensional unified identifier is outlined. this architecture delineates computing service attributes using multi-dimensional descriptors, enabling service addressing predicated on mapped service identifier. Subsequently, the matching discovery mechanism for computing services is structured around the K-Dimensional Tree (K-D Tree) framework. Moreover, a computing service scheduling mechanism is devised, catering to both single-node and combined service scheduling scenarios. Finally, the experimental test evaluation results show that the discovery delay associated with computing services satisfies the requirements across various service request scenarios. Moreover, when contrasted with the nearby greedy strategy, the proposed computing service scheduling mechanism achieves a superior user satisfaction score.

关键词： Processor scheduling Communication systems Computer architecture Propulsion Ubiquitous computing Scheduling Delays

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276页 << < 27 28 29 30 31 32 33 34 35 36 > >>

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：