Abstract The electronic nose (E-nose), a bionic olfactory system, has been widely used in gas identification and concentration prediction. However, these tasks are usually based on separate systems, leading to high detection costs. To address this issue, multi-task learning network model LSTM-Attention (MTL-LSTMA) as skeleton proposed simultaneously train both species recognition prediction tas...

objective: knowledge and attitude of parents about attention deficit/hyperactivity disorder (adhd) is an important factor in management of the disorder in children. this study investigates the parents’ knowledge and attitude towards adhd, its symptoms, diagnosis, treatment and prognosis. method: in this cross-sectional descriptive study, the subjects were 150 parents (120 mother and 30 father) ...

introduction: age-related decreases in cognitive functions such as executive functions are a common phenomenon. cognitive rehabilitation with two main approaches, compensation and remediation, is used to help elderlies coping with these deficits. despite reported benefits, there are doubts on the efficacy of each of these approaches. we tried to provide effective computerized cognitive tasks as...

The problem of air pollution has attracted more and attention. PM2.5 is a key factor affecting quality. In order to improve the prediction accuracy concentration make people effectively control generation propagation atmospheric pollutants, in this paper, long short-term memory neural network (LSTM) model based on principal component analysis (PCA) attention mechanism (attention) constructed, w...