Advances and Challenges in Science and Technology Vol. 2

This book covers key areas of science and technology. The contributions by the authors include received signal strength, LTE, mobile network, quality of experience, root cause analysis, universal mobile telecommunications system, mean absolute percentage error, global positioning system, mean opinion scores, key performance indicators, hypertext transfer protocol, gradient tree boosting, minimum quantity lubrication, cutting fluids, nano-fluid, nano-fluid, machine learning models, random forest, support vector machines, heterogenous resolutions, pansharpening, lagrange optimization, signal to noise ratio, root mean square error, spectral discrepancy, cad system, 3d printing, artificial intelligence, cox proportional hazard model, cox regression analysis, hazard ratio, protodiakonov coefficient, cooling system, photovoltaic utilization, energy efficiency, greentransportation, energysaving, energydilemma, solarenergy, international energy agency,  facilitation of skill learning, image transformation, deep neural network. This book contains various materials suitable for students, researchers and academicians in the field of science and technology.