e-ISBN : 978-93-6252-929-9Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.Volume : 3-2024
AIM & SCOPE
In the book "Recent Trends in Mathematics," we explore the latest advancements in mathematical research and their profound implications across various domains. This collection highlights the application of artificial neural networks to forecast cryptocurrency price fluctuations covering Cardano, Dogecoin, and Ethereum and demonstrates the broader potential of these techniques in financial modeling. Additionally, we delve into the innovative Pourreza Transform for analyzing fractional differential equations, showcasing its theoretical foundations and practical applications. This book serves as a valuable resource for researchers, students, and professionals, reflecting the dynamic and interdisciplinary nature of contemporary mathematical studies. The development of this book on IIP has been a journey of exploration and discovery. Our aim has been to present the latest advancements and insights in this rapidly evolving field. This chapter delves into various innovative techniques and methodologies that are shaping the future of industrial processes. The authors hope that this chapter will serve as a valuable resource for professionals, researchers, and students alike. Difference equations are of course to some extent analogous to differential equations and this parallel is already evident in the familiar appearance of the general solution of a homogeneous linear difference equation with constant coefficients. We write this book to provide a framework for learning and understanding the basic and key concepts of the newly developed generalised difference operators. These necessary skills in a way that emphasizes the uniqueness of to develop the ideas in finite Fourier series and closed functional factorials.
Chapter 1SOME NEW OSCILLATION CRITERIA FOR ALPHA FRACTIONAL DIFFERENTIAL EQUATIONShttps://www.doi.org/10.58532/nbennurrtch1
Chapter 2ANALYZING FRACTIONAL DIFFERENTIAL EQUATIONS USING THE POURREZA TRANSFORM https://www.doi.org/10.58532/nbennurrtch2
Chapter 3NUMERICAL SIMULATION OF ROTATIONAL FLOW IN HYDROCEPHALIC HYDRO-ELASTIC MODELShttps://www.doi.org/10.58532/nbennurrtch3
Chapter 4CLOSED FUNCTIONAL FACTORIAL USING GENERALIZED DIFFERENCE OPERATORShttps://www.doi.org/10.58532/nbennurrtch4
Chapter 5CORRELATION OF MATHEMATICS WITH PHYSICS https://www.doi.org/10.58532/nbennurrtch5
Chapter 6NUMERICAL ANALYSIS OF FINITE FOURIER DECOMPOSITION WITH TWO SHIFT VALUEShttps://www.doi.org/10.58532/nbennurrtch6
Chapter 7APPLYING ARTIFICIAL NEURAL NETWORKS FOR ANTICIPATING CHANGES IN CARDANO PRICE https://www.doi.org/10.58532/nbennurrtch7
Chapter 8FORECASTING DOGECOIN PRICE CHANGES WITH ARTIFICIAL NEURAL NETWORKShttps://www.doi.org/10.58532/nbennurrtch8
Chapter 9PREDICTING ETHEREUM PRICE FLUCTUATIONS USING ARTIFICIAL NEURAL NETWORKS https://www.doi.org/10.58532/nbennurrtch9
Chapter 10CRYPTOCURRENCY PRICE FORECASTING USING AN ARTIFICIAL NEURAL NETWORK https://www.doi.org/10.58532/nbennurrtch10
EDITORIAL BOARD MEMBERS
Dr. Shyam Sundar Santra Associate Dean R&D JIS College of EngineeringKalyaniWest Bengal.