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Popphon Laon
Institutions:
Phranakhon Si Ayutthaya Rajabhat University,
King Mongkut's Institute of Technology Ladkrabang
Observed institutions:
Phranakhon Si Ayutthaya Rajabhat University,
King Mongkut's Institute of Technology Ladkrabang
ORCID:
0009-0001-6870-0885
Observed ORCID:
0009-0001-6870-0885
OpenAlex ID:
A5029672103
An Enhanced Cascaded Deep Learning Framework for Multi-Cell Voltage Forecasting and State of Charge Estimation in Electric Vehicle Batteries Using LSTM Networks
2025
·
Supavee Pourbunthidkul
, Narawit Pahaisuk
, et al.
·
Sensors
·
7
Implementation of Deep Reinforcement Learning for Radio Telescope Control and Scheduling
2025
·
Sarut Puangragsa
, Tanawit Sahavisit
, et al.
·
Galaxies
·
3
PDF
Reinforcement Learning-Driven Framework for High-Precision Target Tracking in Radio Astronomy
2025
·
Tanawit Sahavisit
, Popphon Laon
, et al.
·
Galaxies
·
3
PDF
Hybrid Unsupervised–Supervised Learning Framework for Rainfall Prediction Using Satellite Signal Strength Attenuation
2026
·
Popphon Laon
, Tanawit Sahavisit
, et al.
·
Sensors
·
2
PDF
Multi-Entropy Feature Extraction With LSTM Networks for Acoustic Emission-Based Railway Crack Localization
2025
·
Popphon Laon
, Supavee Pourbunthidkul
, et al.
·
IEEE Access
·
2
Fade Dynamics, Availability and Measurement Limits of a Tropical Ku-Band Earth–Space Link: What a Sensor Record Supports
2026
·
Soemsak Yooyen
, Tanawit Suteewong
, et al.
·
Technologies
Multi-Horizon Probabilistic Forecasting of Rain-Induced Signal Degradation for Weather-Aware Radio Telescope Operations in a Tropical Climate
2026
·
Pattarapong Phasukkit
, Tanawit Sahavisit
, et al.
·
Galaxies
Citrate-capped gold nanoparticle aggregation-based colorimetric sensor for creatinine quantification via deep learning regression on digital image features
2026
·
Natthanicha Janfan
, Popphon Laon
, et al.
·
Microchemical Journal
Air Turbulence Forecasting of Airbus type A320 in Southeast Asia using Deep Learning Method
2020
·
Popphon Laon
, Pattarapong Phasukkit
, et al.
·
International STEM Education Conference (iSTEM-Ed)
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Works count:
9
Citation count:
17
H-index:
3
I10-index:
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