Advanced Aspects of Engineering Research Vol. 11

This book covers key areas of engineering research. The contributions by the authors include   nanocomposites, carbon nanotube, photoluminescence spectroscopy, polaron model, friction, polymers, pitting, scar wear diameter, friction coefficient and metallographic examination, deep neural network, deep learning, AWS SageMaker, docker containers, clustering, cluster tendency, similarity measures, visual access tendency, image processing, optical measurement, geometric parameters, start up performance, compressors, winding, voltages, metrological support, tribological properties, carbon-carbon composite, braking devices, Brain-Computer-Interface, combinatorial algorithm, linear model, traditional iterative estimation methods, Man-Machine-Interface, synergetic filtering, big data, matrix factorization, ANSF modeling, deep neural network, disturbance detection, discrete fourier transform, Power Quality, PQ disturbances, signal model, multi objective Jaya algorithm, radial distribution system, solar photo voltaic, wind energy. This book contains various materials suitable for students, researchers and academicians in the field of engineering research.