Automatic Leukemia or blood cancer detection is a challenging job and is very much
required in healthcare centers. It has a significant role in early diagnosis and treatment …

Mobility in wireless sensor networks poses unique challenges to the medium access control
(MAC) protocol design. Previous MAC protocols for sensor networks assume static sensor …

Manufacturing of thermoplastic composites using automated fibre placement (AFP) machine
with specific characteristics is a challenging task due to the interdependence of various …

Uncertainty and complexity associated with the stock data make the exact determination of
future prices impossible. Successful prediction of a stock future price requires an efficient …

In this paper, we propose a scheme of an intelligent capacitive pressure sensor (CPS) using
an artificial neural network (ANN). A switched-capacitor circuit (SCC) converts the change in …

Machine learning and deep learning technologies are rapidly advancing the capabilities of
sensing technologies, bringing about significant improvements in accuracy, sensitivity, and …

Accurate and effective stock price prediction is very important for potential investors in
deciding investment strategy. Data mining techniques have been applied to stock market …

In actual nonlinear active noise control (NANC) systems, there often exist nonlinear
distortions in such cases: the primary path may be nonlinear, the reference noise may …

A capacitor pressure sensor (CPS) is modeled for accurate readout of applied pressure
using a novel artificial neural network (ANN). The proposed functional link ANN (FLANN) is …

There are no rules to select the best curve-fitting method for a given set of data. This problem
is of great importance in measurement applications. Optimizing analog and digital methods …