Suzani Mohamad-Samuri

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Thoracic electrical impedance tomography (EIT) is a noninvasive, radiation-free monitoring technique whose aim is to reconstruct a cross-sectional image of the internal spatial distribution of conductivity from electrical measurements made by injecting small alternating currents via an electrode array placed on the surface of the thorax. The purpose of this(More)
Higher expectation has been requested from artificial intelligence (AI) owing to its success in various applications and domains. The use of AI is no longer limited to solve static optimization problems, but to perform well in dynamic optimization problems as well. The performance of AI in problem solving depends greatly on its own control parameters. The(More)
Electrical Impedance Tomography (EIT) has been the subject of intensive research since its development in the early 1980s by Barber and Brown at the Department of Medical Physics and Clinical Engineering, Hallamshire Hospital in Sheffield (UK). In particular, pulmonary measurement has been the focus of most EIT related research. One of the relatively recent(More)
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