generated by bibbase.org
  2023 (2)
Pineapple Sweetness Classification Using Deep Learning Based on Pineapple Images. Kanjanawattana, S.; Teerawatthanaprapha, W.; Praneetpholkrang, P.; Bhakdisongkhram, G.; and Weeragulpiriya, S. Journal of Image and Graphics, 11(1). 2023.
link   bibtex  
Comparative Analysis of Machine Learning Algorithms for Classification of Thai Fake News. Siriphanpornchana, P.; and Kanjanawattana, S. In 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), pages 453–458, 2023. IEEE
link   bibtex  
  2022 (1)
Classification of Human Emotion from Speech Data Using Deep Learning. Kanjanawattana, S.; Jarat, A.; Praneetpholkrang, P.; Bhakdisongkhram, G.; and Weeragulpiriya, S. In 2022 IEEE 5th International Conference on Big Data and Artificial Intelligence (BDAI), pages 1–5, 2022. IEEE
link   bibtex  
  2021 (3)
Viability Assessment of Bull Sperms Using Deep Learning. Kanjanawattana, S.; Ditsayabut, P.; Poomka, P.; Sriwong, K.; Pongsena, W.; and Wanapu, C. Journal of Advances in Information Technology Vol, 12(1). 2021.
link   bibtex  
A Novel Approach for Determining Shelter Location-Allocation in Humanitarian Relief Logistics. Praneetpholkrang, P.; and Kanjanawattana, S. International Journal of Knowledge and Systems Science (IJKSS), 12(2): 52–68. 2021.
link   bibtex  
A multi-objective optimization model for shelter location-allocation in response to humanitarian relief logistics. Praneetpholkrang, P.; Kanjanawattana, S.; and others The Asian Journal of Shipping and Logistics, 37(2): 149–156. 2021.
link   bibtex  
  2020 (1)
A novel automatic method for cassava disease classification using deep learning. Sangbamrung, I.; Praneetpholkrang, P.; and Kanjanawattana, S. Journal of Advances in Information Technology Vol, 11(4): 241–248. 2020.
link   bibtex  
  2019 (4)
A novel outlier detection applied to an adaptive k-means. Kanjanawattana, S. International Journal of Machine Learning and Computing, 9(5): 569–574. 2019.
link   bibtex  
Semantic-based search engine system for graph images in academic literature. Kanjanawattana, S.; and Kimura, M. In EAI International Conference on Technology, Innovation, Entrepreneurship and Education: TIE'2017, pages 121–134, 2019. Springer International Publishing
link   bibtex  
Semantic-based search engine system for graph images in academic literatures by use of semantic relationships. Kanjanawattana, S.; and Kimura, M. International Journal of Machine Learning and Computing, 9(6): 828–839. 2019.
link   bibtex  
Creating Interference Graph for Frequency Channel Allocation for Multi-Floor Buildings. Wechtaisong, C.; Prombutr, P.; and Kanjanawattana, S. . 2019.
link   bibtex  
  2018 (1)
Ontology of academic sentence dependencies for a verb choice suggestion. Kanjanawattana, S.; and Kimura, M. In 2018 Thirteenth International Conference on Digital Information Management (ICDIM), pages 39–44, 2018. IEEE
link   bibtex  
  2017 (4)
Extraction and identification of bar graph components by automatic epsilon estimation. Kanjanawattana, S.; and Kimura, M. International Journal of Computer Theory and Engineering, 9(4). 2017.
link   bibtex  
A method of graph information extraction and retrieval for academic literatures by use of semantic relationships. Kanjanawattana, S. Ph.D. Thesis, PhD thesis, SHIBAURA INSTITUTE OF TECHNOLOGY, 2017.
link   bibtex  
Novel ontologies-based optical character recognition-error correction cooperating with graph component extraction. Kanjanawattana, S.; and Kimura, M. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 7(4): 69–83. 2017.
link   bibtex  
Annsvm: A novel method for graph-type classification by utilization of fourier transformation, wavelet transformation, and hough transformation. Kanjanawattana, S.; and Kimura, M. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 8(2): 5–25. 2017.
link   bibtex  
  2016 (2)
Extraction of Graph Information Based on Image Contents and the Use of Ontology. Kanjanawattana, S.; and Kimura, M. International Association for Development of the Information Society. 2016.
link   bibtex  
Ontologies-based optical character recognition-error correction method for bar graphs. Kanjanawattana, S.; and Masaomi, K In The Tenth International Conference on Advances in Semantic Processing (SEMAPRO 2016), pages 1–8, 2016.
link   bibtex  
  2015 (2)
Graph-type classification based on artificial neural networks and wavelet coefficients. Kanjanawattana, S.; and Kimura, M. In Proceedings of Second International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC2015), pages 77–85, 2015.
link   bibtex  
A proposal for a method of graph ontology by automatically extracting relationships between captions and X-and Y-axis titles. Kanjanawattana, S.; and Kimura, M. In International Conference on Knowledge Engineering and Ontology Development, volume 2, pages 231–238, 2015. SciTePress
link   bibtex  
  2012 (1)
An extended K-means++ with mixed attributes. Kanjanawattana, S In Proc. The 12th WSEAS International Conference on Applied Computer Science (ACS12), pages 131–135, 2012.
link   bibtex  
  2011 (1)
An extended k-means++ with mixed attributes for outlier detection. Kanjanawattana, S. Ph.D. Thesis, Asian Institute of Technology, 2011.
link   bibtex  
  undefined (4)
GRAPH-TYPE CLASSIFICATION WITH NEURAL NETWORKS USING WAVELET COEFFICIENTS AND DISCRETE FOURIER TRANSFORMATION. Kanjanawattana, S.; and Kimura, M. . .
link   bibtex  
GLOBAL PROJECT BASED LEARNING IN IOT SYSTEM DEVELOPMENT BASED ON ONLINE PLATFORM. Jirapipattanaporn, P.; Lawanont, W.; Kanjanawattana, S.; Wechtaisong, C.; and Inoue, M. . .
link   bibtex  
The 5th International Conference on Big Data and Artificial Intelligence. Kanjanawattana, S.; Jarat, A.; Praneetpholkrang, P.; Bhakdisongkhram, G.; and Weeragulpiriya, S. . .
link   bibtex  
Ding Yin 169 Donghong Qin 13, 45, 184 Dongxue Bao 13 ErZhuo Xu 184. Urtans, E.; Wu, F.; Freund, F.; Jin, G.; Zeng, G.; Bhakdisongkhram, G.; Yuceturk, G.; Han, H.; Cheng, H.; Liu, H.; and others . .
link   bibtex