Background Sleep disturbances are both risk factors for and symptoms of dementia. Current methods assessing sleep largely based on either polysomnography (PSG) which is costly inconvenient, or self- care-giver reports prone to measurement error. Low-cost monitor longitudinally at scale can be useful symptom development. Here, we develop deep learning models that use multimodal variables (accele...

Big data refers to the enormous heterogeneous being produced at a brisk pace by large number of diverse generating sources. Since traditional processing technologies are unable process big efficiently, is processed using newer distributed storage and frameworks. view materialization technique queries efficiently on these It generates valuable information, which can be used take timely decisions...

With the proposal of carbon neutrality, how to improve proportion clean energy in consumption and reduce dioxide emissions has become important challenge for traditional industry. Based on idea multi-energy complementarity, a typical integrated system consisting electric gas is constructed based application power (P2G) technology turbine this paper. Furthermore, multi-objective optimization mod...

Abstract One of the main problems with classifier training for imbalanced data is defining correct learning criterion. On one hand, we want minority class to be correctly recognized, and on other do not make too many mistakes in majority class. Commonly used metrics focus either predictive quality distinguished or propose an aggregation simple metrics. The aggregate metrics, such as Gmean AUC ,...

Control charts are the most important tools of statistical process control used to discriminate between assignable and common causes of variation and to improve the quality of a process. To design a control chart, three parameters including sample size, sampling interval, and control limits should be determined. The objectives are hourly expected cost, in-control average run length, power of th...