Kundjanasith Thonglek

Orcid: 0000-0002-2465-0935

According to our database1, Kundjanasith Thonglek authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hierarchical Federated Learning for Predicting Water Levels: A Case Study in Thailand.
Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

An Enhanced Credit-Based Shaper for Resilience to Time-Sync Misalignment.
Proceedings of the 20th IEEE International Conference on e-Science, 2024

2023
Toward Predictive Modeling of Solar Power Generation for Multiple Power Plants.
IEICE Trans. Commun., July, 2023

Benchmarks for Job Scheduling in Ultra-Distributed Systems.
Proceedings of the 1st International Workshop on Middleware for the Computing Continuum, 2023

2022
Automated Quantization and Retraining for Neural Network Models Without Labeled Data.
IEEE Access, 2022

Sparse Communication for Federated Learning.
Proceedings of the 6th IEEE International Conference on Fog and Edge Computing, 2022

2021
INSHA: Intelligent Nudging System for Hand Hygiene Awareness.
Proceedings of the IVA '21: ACM International Conference on Intelligent Virtual Agents, 2021

2020
A nudge-based smart system for hand hygiene promotion in private organizations: poster abstract.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Retraining Quantized Neural Network Models with Unlabeled Data.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Federated Learning of Neural Network Models with Heterogeneous Structures.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Abnormal Gait Recognition in Real-Time using Recurrent Neural Networks.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
IVAA: Intelligent Vehicle Accident Analysis System.
Proceedings of the 16th International Joint Conference on Computer Science and Software Engineering, 2019

Improving Resource Utilization in Data Centers using an LSTM-based Prediction Model.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019


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