This paper deals with detecting fetal electrocardiogram FECG signals from single-channel abdominal lead.It is based on the Convolutional Neural Network(CNN)combined with advanced mathematical methods,such as Independe...This paper deals with detecting fetal electrocardiogram FECG signals from single-channel abdominal lead.It 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 energy.Furthermore,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 process.The findings demonstrate the efficiency of this innovative approach,which may be deployed in real-time.展开更多
Artificial Intelligence(AI)is based on algorithms that allow machines to make decisions for humans.This technology enhances the users’experience in various ways.Several studies have been conducted in the field of edu...Artificial Intelligence(AI)is based on algorithms that allow machines to make decisions for humans.This technology enhances the users’experience in various ways.Several studies have been conducted in the field of education to solve the problem of student orientation and performance using various Machine Learning(ML)algorithms.The 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.展开更多
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 capacities.IoT is recognized as one of the m...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 capacities.IoT is recognized as one of the most critical areas for future technologies,gaining worldwide attention.It applies to many areas,where it has achieved success,such as healthcare,where a patient is monitored using nodes and lightweight sensors.However,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 consumption.However,these issues significantly slow down the development and rapid deployment of this technology.The 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 fading.The distance between nodes is one of the factors influencing energy consumption.In this article,we have proposed direct communication between nodes to avoid collision domains,which will help reduce data retransmission.The results show that the distribution can ensure the performance of the system under general conditions compared to the centralization and to the existing works.展开更多
文摘This paper deals with detecting fetal electrocardiogram FECG signals from single-channel abdominal lead.It 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 energy.Furthermore,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 process.The findings demonstrate the efficiency of this innovative approach,which may be deployed in real-time.
文摘Artificial Intelligence(AI)is based on algorithms that allow machines to make decisions for humans.This technology enhances the users’experience in various ways.Several studies have been conducted in the field of education to solve the problem of student orientation and performance using various Machine Learning(ML)algorithms.The 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.
文摘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 capacities.IoT is recognized as one of the most critical areas for future technologies,gaining worldwide attention.It applies to many areas,where it has achieved success,such as healthcare,where a patient is monitored using nodes and lightweight sensors.However,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 consumption.However,these issues significantly slow down the development and rapid deployment of this technology.The 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 fading.The distance between nodes is one of the factors influencing energy consumption.In this article,we have proposed direct communication between nodes to avoid collision domains,which will help reduce data retransmission.The results show that the distribution can ensure the performance of the system under general conditions compared to the centralization and to the existing works.
