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Prapaporn Rattanatamrong
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2020 – today
- 2023
- [c17]Thiti Chuenbubpha, Thapana Boonchoo, Jason Haga, Prapaporn Rattanatamrong:
Solving Non-IID in Federated Learning for Image Classification using GANs. JCSSE 2023: 333-338 - [c16]Rattana Ceesay, Thapana Boonchoo, Prapaporn Rattanatamrong:
Machine Learning Approaches for Quality Control in Pulp Packaging Manufacturers. JCSSE 2023: 385-390 - 2022
- [c15]Visaruth Punnium, Sitapa Rujikietgumjorn, Prapaporn Rattanatamrong:
Classifying Thai Occupation from Images using Deep Learning with Grayscale Feature Extractor. JCSSE 2022: 1-6 - [c14]Prapaporn Rattanatamrong, Onanong Kongmeesub, Tanakorn Dittaporn, Natphitchayuk Siwahansaphan, Sirapop Chatarupa, Vataya Chunwijitra, Sumonmas Thatphithakkul:
Thai Preschooler Speech Recognition for Voice Enabled Interactive Counting Exercises. JCSSE 2022: 1-6 - [c13]Prapaporn Rattanatamrong, Jarunchai Srisawat, Thapana Boonchoo, Jason Haga:
Study of Resource-Saving Secure Communication Protocols for IoT Devices. WF-IoT 2022: 1 - [c12]Prapaporn Rattanatamrong, Jarunchai Srisawat, Thapana Boonchoo, Jason Haga:
Development of a Digital Twin for Smart Building over Edge-Cloud Continuum. WF-IoT 2022: 1-6 - 2021
- [c11]Suchanat Mangkhangcharoen, Jason Haga, Prapaporn Rattanatamrong:
Migrating Deep Learning Data and Applications among Kubernetes Edge Nodes. HPCC/DSS/SmartCity/DependSys 2021: 2004-2010 - 2020
- [c10]Manassanan Boonnavasin, Prapaporn Rattanatamrong:
Toponym Extraction in Thai Tweets Using a Hybrid Approach. ICIIT 2020: 71-76 - [c9]Prapaporn Rattanatamrong, Yoottana Boonpalit, Siwakorn Suwanjinda, Ayuth Mangmeesap, Ken Subraties, Vahid Daneshmand, Shava Smallen, Jason Haga:
Overhead Study of Telegraf as a Real-Time Monitoring Agent. JCSSE 2020: 42-46
2010 – 2019
- 2019
- [c8]Wongsatorn Thongthavorn, Prapaporn Rattanatamrong:
Multi-Container Application Migration with Load Balanced and Adaptive Parallel TCP. HPCS 2019: 55-62 - 2016
- [c7]Manassanan Boonnavasin, Prapaporn Rattanatamrong:
enGeno: Towards enabling a medical genogram library for supporting home-visit patient diagnosis. GCCE 2016: 1-4 - 2015
- [j2]Prapaporn Rattanatamrong, José A. B. Fortes:
Improved real-time scheduling of periodic tasks on multiprocessors. Concurr. Comput. Pract. Exp. 27(9): 2291-2309 (2015) - 2014
- [j1]Prapaporn Rattanatamrong, José A. B. Fortes:
Dynamic Scheduling of Real-Time Mixture-of-Experts Systems on Limited Resources. IEEE Trans. Computers 63(7): 1751-1764 (2014) - [c6]Prapaporn Rattanatamrong, José A. B. Fortes:
Fuzzy scheduling of real-time ensemble systems. HPCS 2014: 146-153 - 2011
- [c5]Prapaporn Rattanatamrong, José A. B. Fortes:
Improved real-time scheduling for periodic tasks on multiprocessors. HPCS 2011: 81-89 - [c4]Prapaporn Rattanatamrong, José A. B. Fortes:
Mode Transition for Online Scheduling of Adaptive Real-Time Systems on Multiprocessors. RTCSA (1) 2011: 25-32 - 2010
- [c3]Prapaporn Rattanatamrong, Andréa M. Matsunaga, José A. B. Fortes:
BMI CyberWorkstation: A cyberinfrastructure for collaborative experimental research on Brain-Machine Interfaces. CollaborateCom 2010: 1-10 - [c2]Prapaporn Rattanatamrong, José A. B. Fortes:
Real-time scheduling of mixture-of-experts systems with limited resources. HSCC 2010: 71-80
2000 – 2009
- 2007
- [c1]Jack DiGiovanna, Loris Marchal, Prapaporn Rattanatamrong, Ming Zhao, Shalom Darmanjian, Babak Mahmoudi, Justin C. Sanchez, José C. Príncipe, Linda Hermer-Vazquez, Renato J. O. Figueiredo, José A. B. Fortes:
Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces. International Conference on Computational Science (1) 2007: 964-971
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