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Rate of system pole detection using Hermite-Padé approximantsto polynomial expansions Assawin Supuang and Nattapong Bosuwan In this paper, we investigate the rate at which system poles can be detected using Hermite–Padé approximants constructed from polynomial expansions based on orthogonal and Faber polynomials over a compact set E. Our analysis focuses on certain indicators introduced by

Title: Food choices and body weight changes: A mathematical model analysis Mantana Chudtong1,2, Andrea De Gaetano3,4 Affiliations 1Department of Mathematics, Faculty of Science, Mahidol University, Bangkok 10400, Thailand. 2Center of Excellence in Mathematics, the Commission on Higher Education, Si Ayutthaya Rd., Bangkok 10400, Thailand. 3National Research Council of Italy (IRIB-CNR and IASI-CNR), Palermo and Rome,

Applying the Generalized Laplace Residual Power Series Method to the Time-Fractional Multi-Asset Black-Scholes European Option Pricing Model Nitithorn. Sukwong, Wannika Sawangtong, Thanin Sitthiwirattham, Panumart Sawangtong It is well established that the Black-Scholes model plays a foundational role in analyzing financial markets, particularly in the pricing of options. The classical Black-Scholes equation has an explicit analytical

Modeling anomalous diffusion and volatility in the Australian national electricity market using a space-fractional Black-Scholes framework Doungporn Wiwatanapataphee, Yong Hong Wu, Wannika Sawangtong, Panumart Sawangtong The electricity market—particularly the Australian National Electricity Market (NEM)—is characterized by extreme volatility, sudden price spikes, and complex nonlinear dynamics. These phenomena are largely driven by supply-demand imbalances, the increasing

Rate of pole detection using Padé approximants to polynomial expansions Methawee Wajasat and Nattapong Bosuwan* Padé approximations constructed from orthogonal and Faber polynomials on some compact set Eserve as tools to detect poles of an approximated function around the set E. The goal of this article is to studythe rate of such pole detection using

An analytical solution to the time fractional Navier–Stokes equation based on the Katugampola derivative in Caputo sense by the generalized Shehu residual power series approach Wannika. Sawangtong, Patcharee Dunnimit, Benchawan Wiwatanapataphee, Panumart Sawangtong The Navier–Stokes equations, independently derived by Stokes and Navier, describe fluid motion and are widely applied in engineering and science. Their complexity

Rice Classification Using Three-Step Neural Network Integration Meesri, Sarawut., Amornsamankul, Somkid., Kraipeerapun, Pawalai This paper proposes a three-step neural network integration. In the first step, two neural networks are trained to produce a truth output and a falsity output. The second step uses cascade generalization to improve the results of the first step. A sequence

Health Data Classification using Applied Cascade Generalization Chatree Nilnumpetch, Somkid Amornsamankul, Pawalai Kraipeerapun This research study introduces two steps to improve the binary classification technique without using threshold value. The first step is to use complementary neural networks to produce the truth data and falsity data. The truth and falsity data are used for decision