Theory and Applications of Engineering Research Vol. 2

This book covers key areas of engineering research. The contributions by the authors include hydraulic jump, energy loss, land irrigation, stream turbulence, unsaturated shear strength, soil index properties, matric suction, regression analysis, predictive models, matric suction, quantum theory, machine learning, Quantum machine learning, molecular biology, cryptography, geopolymerization, gas absorption, compression strength, hydrocarbons, microbial spoilage, drying kinetics, moisture diffusion, cavitation index, energy dissipation, numerical modelling, stepped spillway, turbulence model, MIMO system, ZF uplink, time division duplexing, cellular networks, energy efficiency, spectral efficiency, atmospheric data, global change, atmospheric mercury, graphical user interface, osteoarthritis, magnetic resonance imaging, support vector machine, knee injuries, machine learning-based knee OA detection system. This book contains various materials suitable for students, researchers and academicians in the field of engineering research.