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检索条件"任意字段=4th International Conference on Computing and Data Science, CONF-CDS 2022"

共 1120 条记录，以下是111-120 订阅

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A Review of the Various Machine Learning Algorithms for Cloud computing 4

A Review of the Various Machine Learning Algorithms for Clou...

引用

4th international conference on Advanced science and Engineering, ICOASE 2022

作者： Amanuel, Sandy Victor Ahmed, Ibrahim M. Technical College of Informatic Akre Duhok Polytechnic University Information Technology Department Duhok Iraq College of Science University of Mosul Mosul Iraq

ISBN: (纸本)9781665472227

Cloud computing (CC) provides network services on request, especially data storage and processing capacity, without users' specific and direct management. CC recently became a collection of public and private data centers that provide the customer with a shared Internet network. Edge computing is an emerging computing and knowledge storage model that puts end-users closer together to increase reaction times and save communication power. However, CC and edge computing face protection issues, including customer risk and corporate recognition, that hinder the swift implementation of computing modelling. One solution to this problem, because of its complexity and severity, is Machine Learning (ML) which consists of researching computational algorithms and naturally advancing knowledge. the problem and solution issues are raised by the overview article that analyses CC safety risks, problems, and solutions that use one or more ML algorithms. Study various ML algorithms, such as controlled, unmonitored, semi-supervised, and enforced training, to solve cloud protection problems. the paper assesses each technique's efficiency based on its characteristics, advantages, and drawbacks. In addition, it will have potential study guidance on safeguarding CC usage and applications. © 2022 IEEE.

关键词： Cybersecurity

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PDF Malware Analysis 7

PDF Malware Analysis

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7th international conference on computing, Communication and Security, ICCCS 2022 and 2022 4th international conference on Big data and Computational Intelligence, ICBDCI 2022

作者： Khalil, Md Yusuf Vivek Anand, Kumar Paul, Antarlina Grover, Rahul NIIT University Computer Science Engineering Neemrana Rajasthan301705 India

ISBN: (纸本)9798350309904

this document addresses the issue of the actual security level of PDF documents. Two types of detection approaches are utilized to detect dangerous elements within malware: static analysis and dynamic analysis. Analyzing malware binaries to identify dangerous strings, as well as reverse-engineering is included in static analysis for t1he malware to disassemble it. On the other hand, dynamic analysis monitors malware activities by running them in a safe environment, such as a virtual machine. Each method has its own set of strengths and weaknesses, and it is usually best to employ both methods while analyzing malware. Malware detection could be simplified without sacrificing accuracy by reducing the number of malicious traits. this may allow the researcher to devote more time to analysis. Our worry is that there is no obvious need to identify malware with numerous functionalities when it isn't necessary. We will solve this problem by developing a system that will identify if the given file is infected with malware or not. © 2022 IEEE.

关键词： Static analysis

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Design and practice of virtual simulation of industrial Internet 4

Design and practice of virtual simulation of industrial Inte...

引用

4th international conference on Advances in Computer Technology, Information science and Communications, CTISC 2022

作者： Wu, Qingjin Zeng, Taisheng Zhu, Daxin Cai, Danlin Quanzhou Normal University Laboratory and Equipment Management Office Quanzhou China Quanzhou Normal University School of Mathematics and Computer Science Fujian Provincial Key Laboratory of Data Intensive Computing Quanzhou China Quanzhou Normal University Fujian Provincial Key Laboratory of Data Intensive Computing Key Laboratory of Intelligent Computing and Information Processing Quanzhou China Quanzhou Normal University School of Mathematics and Computer Science Key Laboratory of Intelligent Computing and Information Quanzhou China

ISBN: (数字)9781665458726

ISBN: (纸本)9781665458726

In the cultivating new engineering talents of information discipline, people tend to adopt virtual simulation to simulate production line scenes of enterprises' intelligent manufacturing so as to solve the problem that students fail to go deep into the production lines of industrial fields for scene practice and that they can not collect, analyze and optimize data in the real intelligent manufacturing production lines. the innovative talent training methods which combine regional industries can be used to improve students' ability to analyze, design, debug, operate, maintain and optimize the intelligent manufacturing big data and to master methods and ideas for solving complex engineering problems with big data technology. they can also provide beneficial experience references for the training of new engineering talents of information discipline. © 2022 IEEE.

关键词： Big data

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A Comparative Analysis On Machine Learning Algorithm for Score Prediction and Proposal of Enhanced Naïve Bayes 4

A Comparative Analysis On Machine Learning Algorithm for Sco...

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Bhalerao, Tushar Vijayalakshmi, S. Gokulakrishnan, J. Department of Data Science Pune India

ISBN: (纸本)9781665474368

Sports attracted a lot of people to watch various games all over the world. India is not an exception. Among various games, cricket has special attention. Cricket in India contributes to the Indian economy on a large scale. Cricket is also known for the broad amount of data gathered for each team, season, and player. Hence, cricket is a perfect domain to work on various data analysis and machine learning approaches to acquire useful insights and information. In this paper, algorithms were used to enhance the output of the team in a sports league, particularly, IPL (cricket). It reflects the performance of the team on a deeper analysis of the requirements of T20 cricket. © 2022 IEEE.

关键词： Sports

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A Relative Analysis of data Mining Approaches for Student's Academics Performance Prediction 4

A Relative Analysis of Data Mining Approaches for Student's ...

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Kumar, Sandeep Ahuja, Bindiya Lingaya's Vidyapeeth Department of Computer Science and Engineering Faridabad India

ISBN: (纸本)9781665474368

data is exploding as a result of technological innovation. Consequently, there has been a perceived need for enhanced analytical tools that can aid in the extraction of pertinent data, patterns, and correlations for decision-making. the educational sector shares the same reality. Approaches of Learning data and educational data mining have been applied to the analysis of educational data. Predicting student performance to influence educational outcomes is one of the most important goals of educational research. the goal of this field's research is to discover the approaches and procedures that can enhance prediction as well as the qualities that may be utilised to evaluate performance or create predictions. In order to establish the present state of new art and identify approaches, traits, and metrics utilised in forecasting student achievement using educational data mining and learning data, this paper will undertake a systematic literature analysis. © 2022 IEEE.

关键词： data mining

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Research on Design-Driven Product Development based on Disruptive Innovation and Feedback Modeling data 4

Research on Design-Driven Product Development based on Disru...

引用

4th international conference on Inventive Research in computing Applications, ICIRCA 2022

作者： Li, Yang Xie, Kedi Zhang, Yuxin Chongqing Technology and Business University Chongqing400067 China Chongqing Mingyuehu Science and Technology Innovation Base in Liangjiang New District Chongqing401120 China

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

From the perspective of the driving force of disruptive innovation, this article explores the relationship between feedback modeling digitization and design-driven product development. According to the research, based on the dimension of 'meaning', disruptive innovation can be divided into original meaningful system disruptive innovation and new meaning system disruptive innovation;different types of designs have different driving mechanisms for disruptive innovation, and data is obtained and summarized based on user feedback evaluation, Accurately determine user needs, propose a research and analysis system based on user feedback and evaluation, and obtain product improvement design plans based on this, and improve performance by 7.3%. © 2022 IEEE.

关键词： Product development

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Graph computing Based Electric Power Equipment Defect Grading with Multi-scale Mechanism 4

Graph Computing Based Electric Power Equipment Defect Gradin...

引用

4th international conference on Smart Power and Internet Energy Systems (SPIES)

作者： Jiao Fei Ma Zhenyuan Xu Jiannan Tan Yuanpeng Duan Minghui Tong Jie China Elect Power Res Inst Artificial Intelligence Applicat Dept Beijing Peoples R China Tianjin Elect Power Corp Elect Power Res Inst Dept Condit Evaluat Power Equipment Tianjin Peoples R China

ISBN: (纸本)9781665489577

Power equipment inspection aims to discover and eliminate equipment defects and potential safety hazards timely and ensure the safe operation of equipment. Now a large number of graph structure data have emerged in the equipment inspection field to improve the organization, management, and cognitive ability of knowledge. As a key step in the inspection business, equipment defect grading is used to determine the severity that affects the safe operation of equipment, so the accuracy and generalization ability of the model are required to be high. the pooling operation of traditional graph neural networks has the problem of information loss. therefore, this paper introduces the multi-scale mechanism to improve the accuracy and generalization ability of the model and realize the accurate grading of equipment defects. By conducting experiments on NCI-1 and CEPRI_EQUIP datasets and comparing the proposed algorithm with baseline methods, the significant performance of the proposed algorithm is verified.

关键词： electric power equipment defect grading graph computing multi-scale mechanism

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Web Scraping & Automation Bot Using Python : Using Python to automate all the tasks 4

Web Scraping & Automation Bot Using Python : Using Python to...

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Narayani, Nimit Kumar, Prabhash Kumar, Dhruv Galgotias University School of Computing Science and Engineering Uttar Pradesh India

ISBN: (纸本)9781665474368

this research Paper is the work of our Automation Framework using Python which aims to provide a completely automated solution by automating each and every functionality and how the concept of automation has changed the traditional software working and processing. As technology usage is increasing, web applications can be automated to provide efficient services to more customers that saves time. Automation will provide two types of services, public and private where in public service data or information is available to each and every user but private information is only for the user inside the organization. © 2022 IEEE.

关键词： Python

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Task Caching and Computation Offloading for Muti-User Mobile Edge computing Network 4

Task Caching and Computation Offloading for Muti-User Mobile...

引用

4th international conference on Communications, Information System and Computer Engineering, CISCE 2022

作者： Fan, Jingyi Lan, Wenjing Geng, Suiyan Zhao, Xiongwen State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China

ISBN: (数字)9781665498487

ISBN: (纸本)9781665498487

Mobile edge computing (MEC) can sink the computation capability near the device terminal, reduce the task data backhaul delay and greatly relieve the pressure of the core network compared with cloud computing. With the exponential growth of delay sensitive application services, edge caching gradually rises as a promising technique by pre-storing data at edge server for user devices to be free from task data transmission and reduce edge computing cost. In this paper, an edge computing network model with caching mechanism is established to maximize system utility defined by weighted sum of energy consumption and execution delay. An alternating iteration algorithm based on modified binary particle swarm optimization algorithm (MBPSO) and convex optimization is proposed to solve the joint task caching and offloading optimization problem. Simulation results show that compared with other benchmark schemes, our proposed algorithm can effectively improve system performance. © 2022 IEEE.

关键词： computation offloading

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Reversible data hiding in images: a brief survey 4

Reversible data hiding in images: a brief survey

引用

4th international conference on Advances in Computer Technology, Information science and Communications, CTISC 2022

作者： Di, Fuqiang Kong, Yongjun Yang, Pan Wang, Zexi Ge, Yu Li, Min Engineering University of Pap Xi'an China Engineering University of Rf Xi'an China

ISBN: (数字)9781665458726

ISBN: (纸本)9781665458726

Reversible data hiding technology is an important branch of information hiding technology, and has become an important means to solve problems in information security and privacy protection. With the increasing demand of image content security and privacy protection, reversible data hiding in images has attracted more and more attention from both the academic and industry community in recent years. this paper introduces the basic concept and background of this technology, and summarizes the research results and research status of this technology in recent years from three main types: spatial domain, compression domain and encryption domain. At last, the future development trend of this technology is prospected. © 2022 IEEE.

关键词： Cryptography

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