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ANALYTICS: 作品数：412被引量：645H指数：12; 导出分析报告; 相关作者：马红亮胡文静王睿郭玮陈贡更多>>; 相关机构：青岛科技大学北京师范大学华中师范大学陕西师范大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家社会科学基金国家重点基础研究发展计划教育部人文社会科学研究基金更多>>

Efficient Intelligent E-Learning Behavior-Based Analytics of Student’s Performance Using Deep Forest Model: 《Computer Systems Science & Engineering》2024年第5期1133-1147,共15页Raed Alotaibi Omar Reyad Mohamed Esmail Karar; The authors thank to the deanship of scientific research at Shaqra University for funding this research work through the Project Number(SU-ANN-2023017).; E-learning behavior data indicates several students’activities on the e-learning platform such as the number of accesses to a set of resources and number of participants in lectures.This article proposes a new analyt...; 关键词：E-LEARNING behavior data student evaluation artificial intelligence machine learning

Systematic Survey on Big Data Analytics and Artificial Intelligence for COVID-19 Containment: 《Computer Systems Science & Engineering》2023年第11期1793-1817,共25页Saeed M.Alshahrani Jameel Almalki Waleed Alshehri Rashid Mehmood Marwan Albahar Najlaa Jannah Nayyar Ahmed Khan; Artificial Intelligence(AI)has gained popularity for the containment of COVID-19 pandemic applications.Several AI techniques provide efficient mechanisms for handling pandemic situations.AI methods,protocols,data sets...; 关键词：COVID-19 IoT artificial intelligence big data CORONAVIRUS deep learning ROBOTICS machine learning

Modified Buffalo Optimization with Big Data Analytics Assisted Intrusion Detection Model: 《Computer Systems Science & Engineering》2023年第8期1415-1429,共15页R.Sheeba R.Sharmila Ahmed Alkhayyat Rami Q.Malik; Lately,the Internet of Things(IoT)application requires millions of structured and unstructured data since it has numerous problems,such as data organization,production,and capturing.To address these shortcomings,big d...; 关键词：Big data analytics internet of things SECURITY intrusion detection deep learning

Heterogeneous Ensemble Feature Selection Model(HEFSM)for Big Data Analytics: 《Computer Systems Science & Engineering》2023年第5期2187-2205,共19页M.Priyadharsini K.Karuppasamy; Big Data applications face different types of complexities in classifications.Cleaning and purifying data by eliminating irrelevant or redundant data for big data applications becomes a complex operation while attempt...; 关键词：PSO(Particle Swarm Optimization) GWO(GreyWolf Optimization) EHO(Elephant Herding Optimization) data mining big data analytics feature selection HEFSM classifier

Big Data Analytics:Deep Content-Based Prediction with Sampling Perspective: 《Computer Systems Science & Engineering》2023年第4期531-544,共14页Waleed Albattah Saleh Albahli; The world of information technology is more than ever being flooded with huge amounts of data,nearly 2.5 quintillion bytes every day.This large stream of data is called big data,and the amount is increasing each day.T...; 关键词：Sampling big data deep learning AlexNet DenseNet

Design of Online Vitals Monitor by Integrating Big Data and IoT: 《Computer Systems Science & Engineering》2023年第3期2469-2487,共19页E.Afreen Banu V.Rajamani; In this work,we design a multisensory IoT-based online vitals monitor(hereinafter referred to as the VITALS)to sense four bedside physiological parameters including pulse(heart)rate,body temperature,blood pressure,and...; 关键词：Big data analytics blood pressure body temperature physiological parameters pulse rate sensors SPO2

Data-Driven Load Forecasting Using Machine Learning and Meteorological Data: 《Computer Systems Science & Engineering》2023年第3期1973-1988,共16页Aishah Alrashidi Ali Mustafa Qamar; Funding Statement:The researchers would like to thank the Deanship of Scientific Research,Qassim University for funding the publication of this project.; Electrical load forecasting is very crucial for electrical power systems’planning and operation.Both electrical buildings’load demand and meteorological datasets may contain hidden patterns that are required to be i...; 关键词：Electricity load forecasting meteorological data machine learning feature selection modeling real-world problems predictive analytics

Big Data Analytics with Optimal Deep Learning Model for Medical Image Classification: 《Computer Systems Science & Engineering》2023年第2期1433-1449,共17页Tariq Mohammed Alqahtani; The author extends his appreciation to the Deanship of Scientific Research at Majmaah University for funding this study under Project Number(R-2022-61).; In recent years,huge volumes of healthcare data are getting generated in various forms.The advancements made in medical imaging are tremendous owing to which biomedical image acquisition has become easier and quicker....; 关键词：Big data analytics healthcare deep learning image classiﬁcation biomedical imaging machine learning

Cyberattack Detection Framework Using Machine Learning and User Behavior Analytics被引量：1: 《Computer Systems Science & Engineering》2023年第2期1679-1689,共11页Abdullah Alshehri Nayeem Khan Ali Alowayr Mohammed Yahya Alghamdi; supported by the fund received from Al Baha University,8/1440.; This paper proposes a novel framework to detect cyber-attacks using Machine Learning coupled with User Behavior Analytics.The framework models the user behavior as sequences of events representing the user activities ...; 关键词：CYBERSECURITY deep learning machine learning user behavior analytics

Intrusion Detection System for Big Data Analytics in IoT Environment: 《Computer Systems Science & Engineering》2022年第10期381-396,共16页M.Anuradha G.Mani T.Shanthi N.R.Nagarajan P.Suresh C.Bharatiraja; In the digital area,Internet of Things(IoT)and connected objects generate a huge quantity of data traffic which feeds big data analytic models to discover hidden patterns and detect abnormal traffic.Though IoT network...; 关键词：Big data CYBERSECURITY IoT networks intrusion detection deep learning metaheuristics intelligent systems

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