Current Issue
Editor(s)
Dr. Xingting Wang
Louisiana State University, USA.
Short Biosketch
ISBN 978-81-973316-7-1 (Print)
ISBN 978-81-973316-1-9 (eBook)
DOI: 10.9734/bpi/rumcs/v6
This book covers key areas of mathematics and computer science. The contributions by the authors include digital mindfulness, sensible technology, digital habits, digital detox, simplex method, linear programming, linear constraints, basic feasible solution, lie’s infinitesimal continuous parameter, Yang-Mills field equations, ansatz; gauge theory, infinitesimal continuous similarity transformation, maximum allowable proportion defective, probability of allowable risk, operating characteristic, acceptable quality level, probability of remaining risk, topological graph theory, low-distortion metric, graph cut, sparsest cut problem, parallel-series graphs, IoT-based networks, machine learning-based intrusion detection system, intrusion detection system, cybersecurity, machine learning, congestion, WSN performance, energy-proficient directing convention, network lifetime, learning style, student’s performance prediction, Felder Silverman learning style model, e-learning, Schrodinger Wave Equation, finite difference, Dirichlet boundary conditions, Von Neumann. This book contains various materials suitable for students, researchers, and academicians in the field mathematics and computer science.
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