An automatic mesh adaptation algorithm and its performance for simulation of flow over a circular cylinder at Re = 1.4 × 105. - Sayan Kaennakham; Moji Moatamedi (Int. J. Comput. Sci. Eng., 2014)

Numerical Solution to Coupled Burgers' Equations by Gaussian-Based Hermite Collocation Scheme. - Nissaya Chuathong; Sayan Kaennakham (J. Appl. Math., 2018)

An automatic node-adaptive scheme applied with a RBF-collocation meshless method. - Sayan Kaennakham; Nissaya Chuathong (Appl. Math. Comput., 2019)

Generalized-Multiquadric Radial Basis Function Neural Networks (RBFNs) with Variable Shape Parameters for Function Recovery. - Sayan Kaennakham; Pichapop Paewpolsong; Natdanai Sriapai; Sunisa Tavaen (FSDM, 2021)

Wavelet Pooling Scheme in the Convolution Neural Network (CNN) for Breast Cancer Detection. - Ratapong Onjun; Kittikorn Sriwichai; Narongdech Dungkratoke; Sayan Kaennakham (MLIS, 2022)

Numerical Investigation on Three Local-Adaptive k-Point Multiquadric Neural Networks. - Pichapop Paewpolsong; Krittidej Chanthawara; Narongdech Dungkratoke; Sayan Kaennakham (MLIS, 2022)

Generalized Multiquadric Neural Networks in Image Reconstruction. - Pornthip Pongchalee; Pirapong Inthapong; Krittidej Chanthawara; Pichapop Paewpolsong; Sayan Kaennakham (MLIS, 2022)

On the Wavelet Convolution Neural Network for Breast Cancer Image Analysis. - Kittikorn Sriwichai; Ratapong Onjun; Chantana Simtrakankul; Sayan Kaennakham (MLIS, 2022)

Noncommunicable Diseases (NCDs) Classification by the Radius Local k-Point Radial Basis Function (RLRBF) Neural Networks. - Pichapop Paewpolsong; Narongdech Dungkratoke; Niwatchai Namvichaisirikul; Sayan Kaennakham (FSDM, 2023)

On the Wavelet Convolution Neural Networks for Ultra-Sound Based Breast Cancer Detection. - Kittikorn Sriwichai; Chantana Simtrakankul; Ratapong Onjun; Pichapop Paewpolsong; Sayan Kaennakham (FSDM, 2023)

The Impact of Firefly Algorithm (FA) Optimization on Gaussian Kernel-Based Fuzzy C-Means Clustering (GKFCM) Efficiency. - Narongdech Dungkratoke; Chantana Simtrakankul; Janejira Laomala; Sayan Kaennakham (FSDM, 2024)

Investigating XGBoost Efficiency on Diverse Time-Series Data Through PSO Parameter Tuning. - Khwanchai Huailuk; Natthapon Khetkrathok; Pirapong Inthapong; Sayan Kaennakham; Nara Samattapapong (FSDM, 2024)

LSTM Drug Demand Forecasting with Adjustment Strategies as a Preliminary Step Toward Optimizing Hospital Drug Inventory Management. - Janejira Laomala; Papon Tantiwanichanon; Natchanon Jaruteekampron; Sayan Kaennakham (FSDM, 2024)

Early Drought Prediction Using MODIS Time Series with LSTM: A Study of the Western United States. - Somsak Limchupanpanich; Tanakorn Sritarapipat; Sayan Kaennakham; Suwit Ongsomwang (FSDM, 2024)

Performance Assessment of Fourier Convolutional Neural Networks in Medical Image Analysis for Breast Cancer Diagnosis. - Songkiat Lowmunkhong; Anan Panphuech; Patthra Janthawanno; Ratapong Onjun; Sayan Kaennakham (FSDM, 2024)

Evaluating the Effectiveness of the Generalized Sigmoid in YOLOv8 for Drug Detection and Classification. - Anan Panphuech; Songkiat Lowmunkhong; Ratapong Onjun; Patthra Janthawanno; Sayan Kaennakham (FSDM, 2024)

Investigating the Performance of LSTM Models Optimized by Firefly Algorithms on Diverse Time-Series Data. - Krankamon Phukhronghin; Narongdech Dungkratoke; Papon Tantiwanichanon; Sayan Kaennakham (FSDM, 2024)

A Comparative Study of Distance Functions in Enhancing Cluster Quality Through Gaussian Kernel-Based Fuzzy C-Means. - Chantana Simtrakankul; Narongdech Dungkratoke; Janejira Laomala; Sayan Kaennakham (FSDM, 2024)

Enhancing SVM Classification of Breast Cancer Using Dual-Stage PSO Optimization. - Pirapong Inthapong; Thiradet Singin; Sayan Kaennakham (ICBBT, 2024)

Diabetic Retinopathy Detection using a Convolutional Neural Network Enhanced by Wavelet Transformation Pooling. - Ratapong Onjun; Songkiat Lowmunkhong; Sayan Kaennakham; Kitirat Phattaramarut (ICBBT, 2024)