Mathematics and Computer Science: Research Updates Vol. 5

This book covers key areas of mathematics and computer science. The contributions by the authors include text-to-image generation, stable diffusion model, differential equations, geogebra application, engineering education, computer algebra system, metric dimension, tree derived interconnection networks, sibling trees, deep learning, quantum machine learning, ethical AI, spiking neural networks, capsule networks, singular perturbation theory, residual power series method, nasty numbers, polygonal numbers, fourier transforms, fourier coefficients, orthogonal function, blockchain-based data provenance, mobile cloud computing, key management systems, access control list, average waiting time, shortest job first, distributed denial-of-service, network resilience, blockchain proof-of-concept. This book contains various materials suitable for students, researchers, and academicians in the fields of mathematics and computer science.