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ABSTRACT
We propose a novel type of neural networks for structural control, which comprises an adaptive input space. This feature is purposefully designed for sequential input selection during adaptive identification and control of nonlinear Continue reading
In order to reduce the carbon footprint and the cost of electric energy, the owners of electric power utilities today are faced with the task of reducing the use of expensive and carbon intensive fossil fuels and significantly increasing the Continue reading
A Real-Time Brain-Computer Interface is a technical system classifying increased or decreased brain activity in Real-Time between Continue reading
This thesis makes a number of new contributions to control and sensing for unmanned vehicles. I begin by developing a non-linear simulation of a small unmanned helicopter and then proceed to develop Continue reading
A Neural Network is a machine that is designed to model the way in which the brain performs a task or function of interest. It has the ability to perform complex computations with ease. The objective of this project was to investigate the use of ANNs in Continue reading
A brain-computer interface, BCI, is a technical system that allows a person to control the external world without relying on muscle activity. This project presents an EEG based BCI designed for Continue reading
ABSTRACT
Deep neural networks are being widely used for feature representation learning in diverse problem areas ranging from object recognition and speech recognition to robotic perception and human disease prediction. We demonstrate a novel, Continue reading
The modelling of large systems of spiking neurons is computationally very demanding in terms of processing power and communication. SpiNNaker – Spiking Neural Network architecture – is a massively Continue reading
ABSTRACT
Credit Decisions are extremely vital for any type of financial institution because it can stimulate huge financial losses generated from defaulters. A number of banks use judgmental decisions, means credit analysts go through every Continue reading
ABSTRACT
In this project, a sensor-less system has been developed for an induction machine in railway applications. The approach which was taken in this project thesis is a consequence of the expectations of the company: investigate the Continue reading
Human stress has become a serious problem affecting people’s life. The current state of sensor technology allows developing systems measuring physical symptoms reflecting people’s stress level. However, the detection of Continue reading
We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the Continue reading