This article proposes a protocol layer trust-based intrusion detection scheme for wireless
sensor networks. Unlike existing work, the trust value of a sensor node is evaluated …

During the past few years, we have seen a tremendous increase in various kinds of
anomalies in Wireless Sensor Network (WSN) communication. Recently, researchers have …

Feature selection is an important preprocessing technique used to determine the most
important features that contributes to the classification of a dataset, typically performed on …

Activity recognition approaches have been applied in home ambient systems to monitor the
status and well-being of occupant especially for home care systems. With the advancement …

Various path or route solving algorithms have been widely researched for the last 30 years.
It has been applied in many different robotic systems such as bomb sniffing robots, path …

Recent advances in Compact and wireless embedded Systems coupled with the
technological innovations in Micro Electro Mechanical Systems (MEMS), Wireless …

According to the National institute on Aging, 8% of the world's population is over 65 or older.
There is a need for a long term care and a remote home-care environment for the aging …

Anxiety and Stress caused by the visit to the health centre or hospital are very common
among children and adult. White Coat Syndrome or Iatrophobia can make diagnostic of a …

Deep Reinforcement Learning (DRL) has been proven to be capable of designing an
optimal control theory by minimising the error in dynamic systems. However, in many of the …

Wireless Sensor Networks (WSNs) consist of multiple distributed nodes each with limited
resources. With their strict resource constraints and application-specific characteristics …