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Thammasak Thianniwet
Institution:
Suranaree University of Technology
Observed institutions:
University of Nebraska–Lincoln,
Suranaree University of Technology
ORCID:
0000-0003-3917-2048
Observed ORCID:
0000-0003-3917-2048
OpenAlex ID:
A5030470495
Classification of Road Traffic Congestion Levels from Vehicle’s Moving Patterns: A Comparison Between Artificial Neural Network and Decision Tree Algorithm
2010
·
Thammasak Thianniwet
, Satidchoke Phosaard
, et al.
·
Lecture notes in electrical engineering
·
16
An empirical investigation of organic software product lines
2021
·
Mikaela Cashman
, Justin Firestone
, et al.
·
Empirical Software Engineering
·
6
PDF
DNA as Features: Organic Software Product Lines
2019
·
Mikaela Cashman
, Justin Firestone
, et al.
·
International Software Product Line Conference (SPLC)
·
5
PDF
Scaling up the Fitness Function for Reverse Engineering Feature Models
2016
·
Thammasak Thianniwet
, Myra B. Cohen
·
Lecture notes in computer science
·
4
SPL-XFactor: A framework for reverse engineering feature models
2016
·
Thammasak Thianniwet
·
Lincoln (University of Nebraska)
·
3
The Study of Algorithms for Food and Beverage Recommendation System on Thai Language Dataset
2024
·
Ananyot Keawlamoon
, Satidchoke Phosaard
, et al.
·
The Journal of King Mongkut s University of Technology North Bangkok
·
1
PDF
Nutritional Analysis Using Image Recognition with Location-Aware Precision for Food Recommendation Systems
2025
·
Thammasak Thianniwet
, Ananyot Keawlamoon
, et al.
·
IEEE International Symposium on Technology and Society (ISTAS)
The Personalized Food Recommendation System Framework for Type 2 Diabetes
2025
·
Thammasak Thianniwet
, Ananyot Keawlamoon
, et al.
·
Smart innovation, systems and technologies
The Optimization Of An Intelligent Traffic Congestion Level Classification From Motorists- Judgments On Vehicle'S Moving Patterns
2011
·
Thammasak Thianniwet
, Satidchoke Phosaard
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
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Works count:
10
Citation count:
35
H-index:
4
I10-index:
1
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