Mathematics and Computer Science: Research Updates Vol. 9

This book covers key areas of mathematics and computer science. The contributions by the authors include fluid mechanics, conservation laws, universal fluid behaviour, engineering practices, AI chatbot, crop yield prediction, weather forecasting, deep learning models, K² normality test, bootstrap method, Monte Carlo simulation, Shapiro–Wilk test, ecological science, fundamental statistical concepts, species-abundance relations, biomass, Boussinesq-Stokes Suspension, differential transform method, Prandtl number, Eckert number, ancillary statistics, Cramer-Rao Lower Bound, Lehmann-Scheffé theorem, uniformly minimum variance unbiased estimator, Remote computing, arithmetic modelling, full k-ary tree, wide area network, edge-fog-cloud system, meekly SC∗ -normality, topological spaces, generalized closed sets. This book contains various materials suitable for students, researchers, and academicians in the fields of mathematics and computer science.