Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Supawadee Srikamdee"'
Publikováno v:
2022 26th International Computer Science and Engineering Conference (ICSEC).
Publikováno v:
2022 13th International Conference on Information and Communication Technology Convergence (ICTC).
Publikováno v:
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC).
Publikováno v:
2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE).
Publikováno v:
ECTI Transactions on Computer and Information Technology (ECTI-CIT). 14:92-102
Estimation of distribution algorithms (EDAs) are successfully applied in the fields of bioinformatics for tasks such as gene structure analysis, protein structure prediction, and RNA secondary structure prediction. This paper proposes a new method, n
Publikováno v:
2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
Cardiovascular diseases are some of the most common diseases with a high mortality rate. The correct diagnosis of aortic stenosis can help patients get appropriate treatment, and can decrease the hazard of death. Intravascular ultrasound (IVUS) image
Autor:
Supawadee Srikamdee, Janya Onpans
Publikováno v:
2020 7th International Conference on Advance Informatics: Concepts, Theory and Applications (ICAICTA).
Pseudoknots are special units in RNA structure. They are found in almost all categories of RNAs. Since the prediction of the pseudoknotted structure has been proven to be NP-complete, heuristic methods have been proposed to alleviate the issue of com
Autor:
Supawadee Srikamdee, Janya Onpans
Publikováno v:
2019 4th International Conference on Information Technology (InCIT).
The air pollution problem becomes more intense in many countries including Thailand. It affects all sectors such as government, industries, and local communities. Accurate forecasts of air quality index would be useful for strategic planning, and pol
Publikováno v:
Proceedings of the 2nd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence.
This paper presents three forecasting models (based on a backpropagation neural network (BPNN), (μ+λ) adaptive evolution strategies (A-ES) [2], and a deep neural network (DNN)) for predicting sugarcane quality levels (called commercial cane sugar,
Publikováno v:
Advances in Computer Science and Ubiquitous Computing ISBN: 9789811030222
CSA/CUTE
CSA/CUTE
Sugarcane is a very important crop in the sugar industry. However, the annual amount of harvested sugarcane is oftentimes uncertain, posing risks to sugarcane mills in terms of raw material supply. The forecast for the sugarcane yield would allow the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e4ab2cd9acb0c69f7cd134d99d48bff
https://doi.org/10.1007/978-981-10-3023-9_25
https://doi.org/10.1007/978-981-10-3023-9_25