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Narongdech Dungkratoke

Observed name: Dungkratoke, Narongdech
ORCID: 0009-0006-7097-9666
Observed ORCID: 0009-0006-7097-9666
OpenAlex ID: A5069958509
A Comparison Study on Particle Swarm Optimization (PSO) Algorithms for Data Feature Selection
2023 · Pirapong Inthapong, Pornthip Pongchalee, et al. · Mechanisms and machine science · 6
Wavelet Pooling Scheme in the Convolution Neural Network (CNN) for Breast Cancer Detection
2022 · Ratapong Onjun, Kittikorn Sriwichai, et al. · Frontiers in artificial intelligence and applications · 6
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Wavelet Pooling in Convolutional Neural Networks for Breast Cancer Detection with Ultrasound Images
2023 · Ratapong Onjun, Narongdech Dungkratoke, et al. · Mechanisms and machine science · 5
Numerical Investigation on Three Local-Adaptive k-Point Multiquadric Neural Networks
2022 · Pichapop Paewpolsong, Krittidej Chanthawara, et al. · Frontiers in artificial intelligence and applications · 2
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Second-Order Sliding-Mode Observer for Solar-Array Current Estimation
2020 · Narongdech Dungkratoke, Wirote Sangtungtong · International Conference on Power and Energy Applications (ICPEA) · 2
A Comparative Study of Distance Functions in Enhancing Cluster Quality Through Gaussian Kernel-Based Fuzzy C-Means
2024 · Chantana Simtrakankul, Narongdech Dungkratoke, et al. · Frontiers in artificial intelligence and applications · 1
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Supplementary materials for Mass Homogeneous Kernel Stein Regularization for Fuzzy C-Means: Optimization and Local Collapse
2026 · Tantiwanichanon, Papon, Simtrakankul, Chantana, et al. · Zenodo (CERN European Organization for Nuclear Research)
Novel Adaptive Velocity Clamping Methods in Particle Swarm Optimization with Benchmark Validation
2026 · Janejira Laomala, Pirapong Inthapong, et al. · Frontiers in artificial intelligence and applications
Hybrid Swarm Intelligence Optimization of Three Machine Learning Classifiers for Chronic Kidney Disease Detection
2026 · Narongdech Dungkratoke, Suraphol Pudhom, et al. · Frontiers in artificial intelligence and applications
Locally Alignment Driven Multi Kernel SVM for Robust Prediction on Heterogeneous Biomedical Data
2026 · Nuchanat Tiprachot, Kittisak Lathong, et al. · Frontiers in artificial intelligence and applications
Investigating Hybrid Multiquadric–Gaussian Kernels in SVM for Depression Detection: A Preliminary Study
2026 · Nattapon Khetkrathok, Narongdech Dungkratoke, et al. · Frontiers in artificial intelligence and applications
Improving Heart Disease Prediction Through Pso-optimized Support Vector Machines Using Linear and Gaussian Kernels
2025 · Pirapong Inthapong, Narongdech Dungkratoke, et al. · Suranaree Journal of Science and Technology
Investigating the Performance of LSTM Models Optimized by Firefly Algorithms on Diverse Time-Series Data
2024 · Krankamon Phukhronghin, Narongdech Dungkratoke, et al. · Frontiers in artificial intelligence and applications
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The Impact of Firefly Algorithm (FA) Optimization on Gaussian Kernel-Based Fuzzy C-Means Clustering (GKFCM) Efficiency
2024 · Narongdech Dungkratoke, Chantana Simtrakankul, et al. · Frontiers in artificial intelligence and applications
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Noncommunicable Diseases (NCDs) Classification by the Radius Local k-Point Radial Basis Function (RLRBF) Neural Networks
2023 · Pichapop Paewpolsong, Narongdech Dungkratoke, et al. · Frontiers in artificial intelligence and applications
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Works count: 15
Citation count: 22
H-index: 3
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