Kamil Aydin

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This study investigates the efficiency of artificial neural networks (ANNs) in health monitoring of pristine and damaged beam-like structures. Beam modeling is based on Timoshenko theory. Two commonly used network models, multilayer perceptron (MLP) and radial basis neural network (RBNN), are used. Beam material and geometrical properties, beam end(More)
Our goal in this paper is to develop a practical, low-cost method for 3-dimensional volumetric imaging of cellular structures using a common light microscope. We have developed several algorithms that use 2-dimensional images obtained at different focus levels to construct a 3-dimensional image of the object by cleaning other layers' data from focused layer(More)
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