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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods

Big Data Mining and Analytics 2023年第3期6卷 301-310页

作者： Said Ziani Yousef Farhaoui mohammed moutaib Research Group in Biomedical Engineering and Pharmaceutical Sciences ENSAMMohammed V UniversityRabat 10090Moroccoand the High School of Technology ESTCUniversity of Hassan IICasablanca 20153Morocco. High School of Technology ESTC University of Hassan IICasablanca 20153Morocco. STI Laboratory T-IDMSFaculty of Sciences and TechniquesMoulay Ismail University of MeknesErrachidia 52000Morocco. IMAGE Laboratory University of Moulay IsmailMeknes 50000Morocco.

This paper deals with detecting fetal electrocardiogram FECG signals from single-channel abdominal *** is based on the Convolutional Neural Network(CNN)combined with advanced mathematical methods,such as Independent Component Analysis(ICA),Singular Value Decomposition(SVD),and a dimension-reduction technique like Nonnegative Matrix Factorization(NMF).Due to the highly disproportionate frequency of the fetus’s heart rate compared to the mother’s,the time-scale representation clearly distinguishes the fetal electrical activity in terms of ***,we can disentangle the various components of fetal ECG,which serve as inputs to the CNN model to optimize the actual FECG signal,denoted by FECGr,which is recovered using the SVD-ICA *** findings demonstrate the efficiency of this innovative approach,which may be deployed in real-time.

关键词： Convolutional Neural Network(CNN) feature extraction Deep Learning(DL) fetal electrocardiogram

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Predicting Students’Final Performance Using Artificial Neural Networks

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Big Data Mining and Analytics 2022年第4期5卷 294-301页

作者： Tarik Ahajjam mohammed moutaib Haidar Aissa Mourad Azrour Yousef Farhaoui mohammed Fattah Department of Computer Science Faculty of Sciences and TechniquesMoulay Ismail UniversityErrachidia 52000Morocco IMAGE Laboratory Moulay Ismail UniversityMeknes 50000Morocco

Artificial Intelligence(AI)is based on algorithms that allow machines to make decisions for *** technology enhances the users’experience in various *** studies have been conducted in the field of education to solve the problem of student orientation and performance using various Machine Learning(ML)*** main goal of this article is to predict Moroccan students’performance in the region of Guelmim Oued Noun using an intelligent system based on neural networks,one of the best data mining techniques that provided us with the best results.

关键词： data science Artificial Intelligence(AI) Machine Learning(ML) neural networks prediction recommendation high school data analysis

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Application of Internet of Things in the Health Sector:Toward Minimizing Energy Consumption

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Big Data Mining and Analytics 2022年第4期5卷 302-308页

作者： mohammed moutaib Tarik Ahajjam mohammed Fattah Yousef Farhaoui Badraddine Aghoutane Moulhime El Bekkali IMAGE Laboratory Moulay Ismail UniversityMeknes 50000Morocco Department of Computer Science Faculty of Sciences and TechniquesMoulay Ismail UniversityErrachidia 52000Morocco IA Laboratory Faculty of ScienceMoulay Ismail UniversityMeknes 50000Morocco Sidi Mohamed Ben Abdellah University Fes 30000Morocco

The Internet of Things(IoT)is currently reflected in the increase in the number of connected objects,that is,devices with their own identity and computing and communication *** is recognized as one of the most critical areas for future technologies,gaining worldwide *** applies to many areas,where it has achieved success,such as healthcare,where a patient is monitored using nodes and lightweight ***,the powerful functions of IoT in the medical field are based on communication,analysis,processing,and management of data autonomously without any manual intervention,which presents many difficulties,such as energy ***,these issues significantly slow down the development and rapid deployment of this *** main causes of wasted energy from connected objects include collisions that occur when two or more nodes send data simultaneously and the leading cause of data retransmission that occurs when a collision occurs or when data are not received correctly due to channel *** distance between nodes is one of the factors influencing energy *** this article,we have proposed direct communication between nodes to avoid collision domains,which will help reduce data *** results show that the distribution can ensure the performance of the system under general conditions compared to the centralization and to the existing works.

关键词： Internet of Things(IoT) energy consumption cloud computing data storage

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