Recent Trends in Mathematics

e-ISBN : 978-93-6252-929-9
Publisher : 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 1
SOME NEW OSCILLATION CRITERIA FOR ALPHA FRACTIONAL DIFFERENTIAL EQUATIONS
https://www.doi.org/10.58532/nbennurrtch1

Chapter 2
ANALYZING FRACTIONAL DIFFERENTIAL EQUATIONS USING THE POURREZA TRANSFORM
https://www.doi.org/10.58532/nbennurrtch2

Chapter 3
NUMERICAL SIMULATION OF ROTATIONAL FLOW IN HYDROCEPHALIC HYDRO-ELASTIC MODELS
https://www.doi.org/10.58532/nbennurrtch3

Chapter 4
CLOSED FUNCTIONAL FACTORIAL USING GENERALIZED DIFFERENCE OPERATORS
https://www.doi.org/10.58532/nbennurrtch4

Chapter 5
CORRELATION OF MATHEMATICS WITH PHYSICS
https://www.doi.org/10.58532/nbennurrtch5

Chapter 6
NUMERICAL ANALYSIS OF FINITE FOURIER DECOMPOSITION WITH TWO SHIFT VALUES
https://www.doi.org/10.58532/nbennurrtch6

Chapter 7
APPLYING ARTIFICIAL NEURAL NETWORKS FOR ANTICIPATING CHANGES IN CARDANO PRICE
https://www.doi.org/10.58532/nbennurrtch7

Chapter 8
FORECASTING DOGECOIN PRICE CHANGES WITH ARTIFICIAL NEURAL NETWORKS
https://www.doi.org/10.58532/nbennurrtch8

Chapter 9
PREDICTING ETHEREUM PRICE FLUCTUATIONS USING ARTIFICIAL NEURAL NETWORKS
https://www.doi.org/10.58532/nbennurrtch9

Chapter 10
CRYPTOCURRENCY 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 Engineering
Kalyani
West Bengal.