Titlebook: How AI Impacts Urban Living and Public Health; 17th International C José Pagán,Mounir Mokhtari,María Fernanda Cabrera Conference proceeding

空格

书目名称How AI Impacts Urban Living and Public Health影响因子(影响力)




书目名称How AI Impacts Urban Living and Public Health影响因子(影响力)学科排名




书目名称How AI Impacts Urban Living and Public Health网络公开度




书目名称How AI Impacts Urban Living and Public Health网络公开度学科排名




书目名称How AI Impacts Urban Living and Public Health被引频次




书目名称How AI Impacts Urban Living and Public Health被引频次学科排名




书目名称How AI Impacts Urban Living and Public Health年度引用




书目名称How AI Impacts Urban Living and Public Health年度引用学科排名




书目名称How AI Impacts Urban Living and Public Health读者反馈




书目名称How AI Impacts Urban Living and Public Health读者反馈学科排名

Emmenagogue

愚笨

Deployment of an IoT Solution for Early Behavior Change Detectioneen the young and aging population. The noticeable increasing aging population is causing different economical, logistical and societal problems. In fact, aging is associated with chronic diseases in addition to physical, psychological, cognitive and societal changes. These changes are considered as

蜈蚣

Long Short Term Memory Based Model for Abnormal Behavior Prediction in Elderly Personsdentifying and accurately predicting his/her normal and abnormal behaviors. Abnormal behaviors observed during the completion of activities of daily living are a good indicator that the person is more likely to have health and behavioral problems that need intervention and assistance. In this paper,

罗盘

Missile

Smart Mat for Respiratory Activity Detection: Study in a Clinical Settingntly, the vast majority of studies with unobtrusive sensors are done with healthy populations. The unobtrusive monitoring of the Respiratory Rate (RR) is essential for proposing better diagnoses. Thus, new industrial and research activity on smart mattresses is targeting respiratory rate in an Inter

heckle

Non-invasive Classification of Sleep Stages with a Hydraulic Bed Sensor Using Deep Learningic sleep stage classification system using ballistocardiogram (BCG) signals. A leave-one-subject-out cross validation (LOSO-CS) procedure is used for testing classification performance. Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Deep Neural Networks DNNs are complementa

Bother

A Convolutional Gated Recurrent Neural Network for Epileptic Seizure Predictionta that represent the temporal aspect and the frequency aspect of the signal. Using a dataset collected in the Children’s Hospital of Boston, CGRNN can predict epileptic seizures between 35 min and 5 min in advance. Our experimental results indicate that the performance of CGRNN varies between patie

改良

Ubiquitous Healthcare Systems and Medical Rules in COPD Domainpiratory system. Recently, COPD became the fifth cause of mortality and the seventh cause of morbidity in Canada. The advancement of context-aware technology creates a new and important opportunity to transform the standard shape of healthcare services into a more dynamic and interactive form. This

巫婆