Pramet Kaewmesri
King Mongkut's University of Technology Thonburi
22 Papers
41 Citations
Pramet Kaewmesri is an academic researcher from King Mongkut's University of Technology Thonburi. The author has contributed to research in topics: Artificial neural network & Lyapunov function. The author has an hindex of 5, co-authored 16 publications.
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Papers
Stochastic Memristive Quaternion-Valued Neural Networks with Time Delays: An Analysis on Mean Square Exponential Input-to-State Stability
Usa Humphries,Grienggrai Rajchakit,Pramet Kaewmesri,Pharunyou Chanthorn,Ramalingam Sriraman,Rajendran Samidurai,Chee Peng Lim +6 more
- 18 May 2020
TL;DR: In this article, the mean-square exponential input-to-state stability (exp-ISS) problem for continuous-time stochastic memristive quaternion-valued neural networks (SMQVNNs) with time delays was studied.
A Delay-Dividing Approach to Robust Stability of Uncertain Stochastic Complex-Valued Hopfield Delayed Neural Networks
Pharunyou Chanthorn,Grienggrai Rajchakit,Usa Humphries,Pramet Kaewmesri,Ramalingam Sriraman,Chee Peng Lim +5 more
TL;DR: A delay-dividing approach is devised to study the robust stability issue of uncertain neural networks, specifically, the uncertain stochastic complex-valued Hopfield neural network (USCVHNN) with time delay.
Importance of exponentially falling variability in heat generation on chemically reactive von kármán nanofluid flows subjected to a radial magnetic field and controlled locally by zero mass flux and convective heating conditions: A differential quadrature analysis
Abderrahim Wakif,Aissa Abderrahmane,Kamel Guedri,Belgacem Bouallegue,Rungnapa Kaewthongrach,Pramet Kaewmesri,A. Jirawattanapanit +6 more
TL;DR: In this article , a comprehensive examination aimed to explore the important features of spinning flows of chemically reactive Newtonian nanofluids over a uniformly revolving disk in the presence of a radially applied magnetic field along with an exponentially decaying space-dependent heat source, in the case where the disk surface is heated convectively and unaffected by the vertical nanoparticles' mass flux.
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An extended analysis on robust dissipativity of uncertain stochastic generalized neural networks with markovian jumping parameters
Usa Humphries,Grienggrai Rajchakit,Ramalingam Sriraman,Pramet Kaewmesri,Pharunyou Chanthorn,Chee Peng Lim,Rajendran Samidurai +6 more
TL;DR: The main focus of this research is on a comprehensive analysis of robust dissipativity issues pertaining to a class of uncertain stochastic generalized neural network models in the presence of time-varying delays and Markovian jumping parameters.
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Sustainable Supply Chain System for Defective Products with Different Carbon Emission Strategies
P. Mala,Muthu Gounder Palanivel,S. Priyan,A. Jirawattanapanit,Grienggrai Rajchakit,Pramet Kaewmesri +5 more
TL;DR: In this article , the viability of investing in green technology to achieve the optimal decisions (lot sizes, lead time, and green investment amount) in a two-echelon supply chain system by considering human error with two carbon emission strategies: carbon taxes and limited carbon emissions.