In recent years, the increasing popularity of unmanned aerial vehicles (UAVs) has arisen
from the emergence of cutting-edge technologies deployed in small and low-cost devices …

Internet-of-Things (IoT) devices are known to be the source of many security problems, and
as such, they would greatly benefit from automated management. This requires robustly …

Human activity recognition is a time series classification problem that is difficult to solve
(HAR). Traditional signal processing approaches and domain expertise are necessary to …

With the enrichment of technologies, humans want to maximize automation by reducing the
manpower and time, Human Activity Recognition (HAR) has a heterogeneous broad range …

Time series classification is an important branch of data analysis. Scholars have proposed a
large number of time series classification methods in recent years. However, time series …

Internet-of-Things (IoT) devices are known to be the source of many security problems, and
as such they would greatly benefit from automated management. This requires robustly …

Multivariate time series classification is a critical problem in data mining with broad
applications. It requires harnessing the inter-relationship of multiple variables and various …

Obstructive sleep apnea‐hypopnea syndrome (OSAHS) is extremely harmful to the human
body and may cause neurological dysfunction and endocrine dysfunction, resulting in …

Psoriasis is a skin disorder that results in swollen skin cells and red, itchy areas on the skin.
40% of the world's population is currently affected by psoriasis. Nowadays, using skin image …

Human activity recognition (HAR) systems employing wearable sensors are a promising
area of research for tracking human activity. Recently, wearable devices such as …