Deep Learning (DL), a successful promising approach for discriminative and generative
tasks, has recently proved its high potential in 2D medical imaging analysis; however …

Machine learning (ML), a branch of artificial intelligence, where machines learn from big
data, is at the crest of a technological wave of change swee** society. Cardiovascular …

In this paper, novel convolutional neural network (CNN) and convolutional long short-term
(ConvLSTM) deep learning models (DLMs) are presented for automatic detection of …

Rainfall–runoff modelling is complicated due to numerous complex interactions and
feedback in the water cycle among precipitation and evapotranspiration processes, and also …

Abstract Human Activity Recognition (HAR) using wearable and mobile sensors has gained
momentum in last few years, in various fields, such as, healthcare, surveillance, education …

Blood pressure is a basic physiological parameter in the cardiovascular circulatory system.
Long-term abnormal blood pressure will lead to various cardiovascular diseases, making …

Autonomous driving services depends on active sensing from modules such as camera,
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …

Twelve lead electrocardiogram signals capture unique fingerprints about the body's
biological processes and electrical activity of heart muscles. Machine learning and deep …

Good quality sleep is essential for good health and sleep monitoring becomes a vital
research topic. This paper provides a low cost, continuous and contactless WiFi-based vital …

Arrhythmia is a disease that threatens human life. Therefore, timely diagnosis of arrhythmia
is of great significance in preventing heart disease and sudden cardiac death. The BiLSTM …