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ORCIDSayan Kaennakham
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2020 – today
- 2025
[c32]Papon Tantiwanichanon, Chantana Simtrakankul, Suraphol Pudhom, Sayan Kaennakham:
Entropy-Guided Dissimilarity Measures for Enhancing Fuzzy C-Means Clustering Robustness. FSDM 2025: 68-74- [c31]Chantana Simtrakankul, Papon Tantiwanichanon, Wiwat Nuansing, Sayan Kaennakham:
Preliminary Experiments on Adaptive RBF-Enhanced Fuzzy C-Means for Nonlinear Data Clustering. FSDM 2025: 75-81 - [c30]Natthapon Khetkrathok, Narongdech Dungkratoke, Papon Tantiwanichanon, Suraphol Pudhom, Sayan Kaennakham, Wiwat Nuansing, Niwatchai Namvichaisirikul:
Investigating Hybrid Multiquadric-Gaussian Kernels in SVM for Depression Detection: A Preliminary Study. FSDM 2025: 296-302 - [c29]Janejira Laomala, Pirapong Inthapong, Narongdech Dungkratoke, Komsan Srivisut, Sayan Kaennakham:
Novel Adaptive Velocity Clamping Methods in Particle Swarm Optimization with Benchmark Validation. FSDM 2025: 303-309 - [c28]Ratapong Onjun, Papon Tantiwanichanon, Tanakorn Sritarapipat, Sayan Kaennakham:
Adaptive Variance Pooling CNN for Noise-Robust Ultrasound Breast Cancer Classification. FSDM 2025: 310-316 - [c27]Songkiat Lowmunkhong, Papon Tantiwanichanon, Niwatchai Namvichaisirikul, Sayan Kaennakham:
Quantile-Masked Softmax Activation for Inception CNN-Based Histopathological Breast Cancer Subtype Classification. FSDM 2025: 317-323 - [c26]Narongdech Dungkratoke, Suraphol Pudhom, Krankamon Phukhronghin, Niwatchai Namvichaisirikul, Sayan Kaennakham:
Hybrid Swarm Intelligence Optimization of Three Machine Learning Classifiers for Chronic Kidney Disease Detection. FSDM 2025: 324-330 - [c25]Suraphol Pudhom, Papon Tantiwanichanon, Janejira Laomala, Nara Samattapapong, Sayan Kaennakham:
Empirical Investigation into New Activation Functions Within LSTM Networks for Time-Series. FSDM 2025: 331-337 - [c24]Anan Panphuech, Papon Tantiwanichanon, Natchanon Jaruteekampron, Nara Samattapapong, Niwatchai Namvichaisirikul, Sayan Kaennakham:
Improving Pill Detection in YOLOv8 Using Learnable Multi-Scale Feature Fusion. FSDM 2025: 338-345 - [c23]Krittidej Chanthawara, Pornthip Pongchalee, Chantana Simtrakankul, Papon Tantiwanichanon, Wisut Kitchainukoon, Sayan Kaennakham:
Adaptive Multiquadric Shape Control in Differential Quadrature for Solving the Poisson Equation. FSDM 2025: 364-370 - [c22]Pornthip Pongchalee, Krittidej Chanthawara, Chantana Simtrakankul, Papon Tantiwanichanon, Wisut Kitchainukoon, Sayan Kaennakham:
Generalized Multiquadric Based Direct Global Differential Quadrature Method for Accurate and Stable Solution of Elliptic Problems. FSDM 2025: 371-377 - [c21]Khwanchai Huailuk, Pirapong Inthapong, Papon Tantiwanichanon, Janejira Laomala, Suraphol Pudhom, Sayan Kaennakham:
Population Density Repulsion PSO Optimized XGBoost for Robust Forecasting of Multiseasonal, Intermittent, and Nonstationary Time Series. FSDM 2025: 378-384 - [c20]Nuchanat Tiprachot, Kittisak Lathong, Waraporn Rernglit, Narongdech Dungkratoke, Papon Tantiwanichanon, Sayan Kaennakham:
Locally Alignment Driven Multi Kernel SVM for Robust Prediction on Heterogeneous Biomedical Data. FSDM 2025: 385-391 - [c19]Natchanon Jaruteekampron, Anan Panphuech, Khwanchai Huailuk, Papon Tantiwanichanon, Sayan Kaennakham:
Tunable Softplus-Type Activations for Enhanced Gating in LSTM Networks. FSDM 2025: 392-398 - [c18]Somsak Limchupanpanich, Tanakorn Sritarapipat, Sayan Kaennakham:
Enhancing Satellite-Based Rainfall Estimates Through Bias Correction: A Case Study in Nakhon Ratchasima, Thailand. FSDM 2025: 634-641 - 2024
- [c17]Narongdech Dungkratoke
, Chantana Simtrakankul, Janejira Laomala, Sayan Kaennakham:
The Impact of Firefly Algorithm (FA) Optimization on Gaussian Kernel-Based Fuzzy C-Means Clustering (GKFCM) Efficiency. FSDM 2024: 69-75 - [c16]Chantana Simtrakankul, Narongdech Dungkratoke, Janejira Laomala, Sayan Kaennakham:
A Comparative Study of Distance Functions in Enhancing Cluster Quality Through Gaussian Kernel-Based Fuzzy C-Means. FSDM 2024: 76-82 - [c15]Khwanchai Huailuk, Natthapon Khetkrathok, Pirapong Inthapong, Sayan Kaennakham, Nara Samattapapong:
Investigating XGBoost Efficiency on Diverse Time-Series Data Through PSO Parameter Tuning. FSDM 2024: 279-285 - [c14]Anan Panphuech, Songkiat Lowmunkhong, Ratapong Onjun, Patthra Janthawanno, Sayan Kaennakham:
Evaluating the Effectiveness of the Generalized Sigmoid in YOLOv8 for Drug Detection and Classification. FSDM 2024: 286-292 - [c13]Songkiat Lowmunkhong, Anan Panphuech, Patthra Janthawanno, Ratapong Onjun, Sayan Kaennakham:
Performance Assessment of Fourier Convolutional Neural Networks in Medical Image Analysis for Breast Cancer Diagnosis. FSDM 2024: 293-299 - [c12]Krankamon Phukhronghin, Narongdech Dungkratoke, Papon Tantiwanichanon, Sayan Kaennakham:
Investigating the Performance of LSTM Models Optimized by Firefly Algorithms on Diverse Time-Series Data. FSDM 2024: 300-306 - [c11]Somsak Limchupanpanich, Tanakorn Sritarapipat, Sayan Kaennakham, Suwit Ongsomwang:
Early Drought Prediction Using MODIS Time Series with LSTM: A Study of the Western United States. FSDM 2024: 332-338 - [c10]Janejira Laomala, Papon Tantiwanichanon, Natchanon Jaruteekampron, Sayan Kaennakham:
LSTM Drug Demand Forecasting with Adjustment Strategies as a Preliminary Step Toward Optimizing Hospital Drug Inventory Management. FSDM 2024: 485-491 - [c9]Pirapong Inthapong, Thiradet Singin, Sayan Kaennakham:
Enhancing SVM Classification of Breast Cancer Using Dual-Stage PSO Optimization. ICBBT 2024: 153-157 - [c8]Ratapong Onjun, Songkiat Lowmunkhong, Sayan Kaennakham, Kitirat Phattaramarut:
Diabetic Retinopathy Detection using a Convolutional Neural Network Enhanced by Wavelet Transformation Pooling. ICBBT 2024: 265-269 - 2023
- [c7]Pichapop Paewpolsong, Narongdech Dungkratoke, Niwatchai Namvichaisirikul, Sayan Kaennakham:
Noncommunicable Diseases (NCDs) Classification by the Radius Local k-Point Radial Basis Function (RLRBF) Neural Networks. FSDM 2023: 82-88 - [c6]Kittikorn Sriwichai, Chantana Simtrakankul, Ratapong Onjun, Pichapop Paewpolsong, Sayan Kaennakham:
On the Wavelet Convolution Neural Networks for Ultra-Sound Based Breast Cancer Detection. FSDM 2023: 89-95 - 2022
- [c5]Ratapong Onjun, Kittikorn Sriwichai, Narongdech Dungkratoke, Sayan Kaennakham:
Wavelet Pooling Scheme in the Convolution Neural Network (CNN) for Breast Cancer Detection. MLIS 2022: 72-77 - [c4]Pornthip Pongchalee, Pirapong Inthapong, Krittidej Chanthawara, Pichapop Paewpolsong, Sayan Kaennakham:
Generalized Multiquadric Neural Networks in Image Reconstruction. MLIS 2022: 78-83 - [c3]Pichapop Paewpolsong, Krittidej Chanthawara, Narongdech Dungkratoke, Sayan Kaennakham:
Numerical Investigation on Three Local-Adaptive k-Point Multiquadric Neural Networks. MLIS 2022: 84-90 - [c2]Kittikorn Sriwichai, Ratapong Onjun, Chantana Simtrakankul, Sayan Kaennakham:
On the Wavelet Convolution Neural Network for Breast Cancer Image Analysis. MLIS 2022: 105-110 - 2021
- [c1]Sayan Kaennakham, Pichapop Paewpolsong, Natdanai Sriapai, Sunisa Tavaen:
Generalized-Multiquadric Radial Basis Function Neural Networks (RBFNs) with Variable Shape Parameters for Function Recovery. FSDM 2021: 77-85
2010 – 2019
- 2019
- [j3]Sayan Kaennakham, Nissaya Chuathong:
An automatic node-adaptive scheme applied with a RBF-collocation meshless method. Appl. Math. Comput. 348: 102-125 (2019) - 2018
- [j2]Nissaya Chuathong, Sayan Kaennakham:
Numerical Solution to Coupled Burgers' Equations by Gaussian-Based Hermite Collocation Scheme. J. Appl. Math. 2018: 3416860:1-3416860:18 (2018) - 2014
- [j1]Sayan Kaennakham, Moji Moatamedi:
An automatic mesh adaptation algorithm and its performance for simulation of flow over a circular cylinder at Re = 1.4 × 105. Int. J. Comput. Sci. Eng. 9(3): 257-273 (2014)
Coauthor Index
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