Pattern discovery is an important area of data mining referring to a class of techniques designed for the extraction of interesting patterns from the data. A pattern is some kind of a local structure that captures correlations ...

The probabilistic generative models learn useful features from unlabeled data which can be used for subsequent problem-specific tasks, such as classification, regression or information retrieval. The RBM is one such important ...

Data acquisition from multiple analog channels is an important function in many embedded devices used in avionics, medical electronics, robotics and space applications. It is desirable to engineer these systems to reduce ...

High conductivity is a prerequisite for any material for it to be used in the field of electromagnetics. Metals like copper and aluminium are used for a variety of electromagnetic (EM) applications in industries like ...

Wind energy utilization has been growing at a rapid rate, fuelling research and development in wind turbine – generator systems. Doubly fed induction generator (DFIG) driven by a wind turbine is a commonly used wind energy ...

The problem of object detection deals with determining whether an instance of a given class of object is present or not. There are robust, supervised learning based algorithms available for object detection in an image. ...

Voltage source inverter (VSI) fed induction motors are increasingly used in industrial and transportation applications as variable speed drives. However, VSIs generate non-sinusoidal voltages and hence result in harmonic ...

The goal of computer vision is to provide the ability to machines to understand image data and infer the useful information from it. The inferences highly depend on the quality of the image data. But in many real-world ...