Efforts to raise the bar of higher education so as to respond to dynamic societal/industry
needs have led to a number of initiatives, including artificial neural network (ANN) based …

The use of automated blood pressure (BP) monitoring is growing as it does not require much
expertise and can be performed by patients several times a day at home. Oscillometry is one …

Precision agriculture is the mechanism which controls the land productivity and maximizes
the revinue and minimizes the impact on sorroundings by automating the complete …

Investment in the petroleum industry is usually faced with a high degree of risk due to
uncertainty associated with economic factors. Typical factors include oil and gas price …

The development of a robust optimization control technique, which can handle numerous
nonlinear system problems, is one of the most challenging aspects of science production. In …

Precision agriculture involves manipulation of variations in field productivity, maximization of
income, scale backing of wastes, and minimizing of the impact on surroundings using …

Current energy policies are encouraging the connection to the grid of power generation
based on low-polluting technologies, mainly those using renewable sources with distribution …

Load forecasting plays a significant role in planning and operation of electrical power
networks. Artificial neural networks have been extensively employed for load forecasting …

In this paper, we present a novel feature-based neural network (NN) approach for estimation
of blood pressure (BP) from wrist oscillometric measurements. Unlike previous methods that …

Cardiovascular disease is known as the number one cause of death globally, with elevated
blood pressure (BP) being the single largest risk factor. Hence, BP is an important …