Internet of Things (IoT) is a system that renders the ability to exchange information and
actions in an amalgamated environment consisting of machines and humans over a …

Abstract Using the Neural Networks to predict solar harvestable energy would contribute to
prolonging the duration of the effective operation and thus less consumption in solar …

In human-robot interaction, sensors are relevant in guaranteeing stability and high
performance in real-time applications. Nonetheless, accuracy and portable sensors for …

Local binary pattern (LBP) and its variants (eg, LTP and CLBP) are powerful descriptors for
texture analysis. However, most of these LBP-based methods are sensitive to inverse …

One of the biggest impacts of the vision 'Internet of Things' is the massive number of
connected devices, where billions of nodes will exchange data, information and commands …

Sensor node in WSNs is the major bottle neck that restricts WSNs realization due to limited
processing, communication ability and power sources. The communication or wireless …

Energy consumption problems in wireless sensor networks are an essential aspect of our
days where advances have been made in the sizes of sensors and batteries, which are …

Wireless sensor network is most used network of today's world. Sensor node is the basic
component of sensor network and having resources constrained like less memory …

The advancement of new technologies has provided solutions to various problems our lives.
In the Philippines, farming has been a way of living, and farmers tend to do traditional …

Energy-efficiency of wireless sensor networks (WSN) becomes an essential issue in the
research area. This is because of the energy constraints in WSN that depend on a battery …