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2020 – today
- 2024
[j9]Donghee Shin
, Kulsawasd Jitkajornwanich, Joon Soo Lim, Anastasia Spyridou:
Debiasing misinformation: how do people diagnose health recommendations from AI? Online Inf. Rev. 48(5): 1025-1044 (2024)- 2023
- [c18]Kerk F. Kee, Alex Olshansky, Shan Xu, Kulsawasd Jitkajornwanich:
A Capacity Framework of Community Readiness for Supporting Big Data Science Projects during Cyberinfrastructure Diffusion. IEEE Big Data 2023: 2405-2410 - [c17]Kit Thananukhun, Saichon Jaiyen, Kulsawasd Jitkajornwanich, Anantaporn Hanskunatai:
Question Classification for Thai Conversational Chatbots Using Artificial Neural Networks and Multilingual BERT Models. KST 2023: 1-4 - 2022
- [j8]Manit Chansuparp, Kulsawasd Jitkajornwanich:
A Novel Augmentative Backward Reward Function with Deep Reinforcement Learning for Autonomous UAV Navigation. Appl. Artif. Intell. 36(1) (2022) - [j7]Manit Chansuparp, Kulsawasd Jitkajornwanich:
LifeGuard: An Improvement of Actor-Critic Model with Collision Predictor in Autonomous UAV Navigation. Appl. Artif. Intell. 36(1) (2022) - 2021
- [j6]Kerk F. Kee, Bethanie Le, Kulsawasd Jitkajornwanich:
If you build it, promote it, and they trust you, then they will come: Diffusion strategies for science gateways and cyberinfrastructure adoption to harness big data in the science, technology, engineering, and mathematics (STEM) community. Concurr. Comput. Pract. Exp. 33(19) (2021) - [j5]Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images. Remote. Sens. 13(24): 5100 (2021) - 2020
- [j4]Kulsawasd Jitkajornwanich, Neelabh Pant, Mohammadhani Fouladgar, Ramez Elmasri:
A survey on spatial, temporal, and spatio-temporal database research and an original example of relevant applications using SQL ecosystem and deep learning. J. Inf. Telecommun. 4(4): 524-559 (2020) - [j3]Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution. Remote. Sens. 12(8): 1233 (2020)
2010 – 2019
- 2019
- [j2]Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning. Remote. Sens. 11(1): 83 (2019) - [c16]Nathachai Thongniran, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Combining Attentional CNN and GRU Networks for Ocean Current Prediction based on HF Radar Observations. ICCPR 2019: 440-446 - [c15]Boonyawee Grodniyomchai, Khattiya Chalapat, Kulsawasd Jitkajornwanich, Saichon Jaiyen:
A Hybrid of Shallow and Deep Learning for Odor Classification Based on Adaptive Boosting. ICCSCE 2019: 61-65 - [c14]Manit Chansuparp, Kulsawasd Jitkajornwanich:
Moving Object Detection Using Integrated Spatial and Motion-Based Method. JCSSE 2019: 137-142 - [c13]Nathachai Thongniran, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern:
Spatio-Temporal Deep Learning for Ocean Current Prediction Based on HF Radar Data. JCSSE 2019: 254-259 - 2018
- [c12]Neelabh Pant, Mohammadhani Fouladgar, Ramez Elmasri, Kulsawasd Jitkajornwanich:
A Survey of Spatio-Temporal Database Research. ACIIDS (2) 2018: 115-126 - [c11]Kulsawasd Jitkajornwanich, Chanwit Kongthong, Nattaya Khongsoontornjaroen, Jeedapa Kaiyasuan, Siam Lawawirojwong, Panu Srestasathiern, Siwapon Srisonphan, Peerapon Vateekul:
Utilizing Twitter Data for Early Flood Warning in Thailand. IEEE BigData 2018: 5165-5169 - [c10]Sirinthra Chantharaj, Kissada Pornratthanapong, Pitchayut Chitsinpchayakun, Teerapong Panboonyuen, Peerapon Vateekul, Siam Lawawirojwong, Panu Srestasathiern, Kulsawasd Jitkajornwanich:
Semantic Segmentation On Medium-Resolution Satellite Images Using Deep Convolutional Networks With Remote Sensing Derived Indices. JCSSE 2018: 1-6 - 2017
- [j1]Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul:
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields. Remote. Sens. 9(7): 680 (2017) - [c9]Kulsawasd Jitkajornwanich, Peerapon Vateekul, Teerapong Panboonyuen, Siam Lawawirojwong, Siwapon Srisonphan:
Road map extraction from satellite imagery using connected component analysis and landscape metrics. IEEE BigData 2017: 3435-3442 - [c8]Kulsawasd Jitkajornwanich, Peerapon Vateekul, Upa Gupta, Teeranai Kormongkolkul, Arnon Jirakittayakorn, Siam Lawawirojwong, Siwapon Srisonphan:
Ocean surface current prediction based on HF radar observations using trajectory-oriented association rule mining. IEEE BigData 2017: 4293-4300 - [c7]Teerapong Panboonyuen, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong:
An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery. IC2IT 2017: 191-201 - [c6]Arnon Jirakittayakorn, Teeranai Kormongkolkul, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong:
Temporal kNN for short-term ocean current prediction based on HF radar observations. JCSSE 2017: 1-6 - 2016
- [c5]Upa Gupta, Kulsawasd Jitkajornwanich, Ramez Elmasri, Leonidas Fegaras:
Adapting K-means clustering to identify spatial patterns in storms. IEEE BigData 2016: 2646-2654 - 2015
- [c4]Kulsawasd Jitkajornwanich, Ramez Elmasri:
Conceptual Analysis of Big Data Using Ontologies and EER. MOD 2015: 306-317 - 2013
- [c3]Kulsawasd Jitkajornwanich, Upa Gupta, Sakthi Kumaran Shanmuganathan, Ramez Elmasri, Leonidas Fegaras, John McEnery:
Complete storm identification algorithms from big raw rainfall data using MapReduce framework. IEEE BigData 2013: 13-20 - 2012
- [c2]Kulsawasd Jitkajornwanich, Ramez Elmasri, John McEnery, Chengkai Li:
Extracting storm-centric characteristics from raw rainfall data for storm analysis and mining. BigSpatial@SIGSPATIAL 2012: 91-99 - 2011
- [c1]Kulsawasd Jitkajornwanich, Ramez Elmasri, Chengkai Li, John McEnery:
Formalization of 2-D spatial ontology and OWL/Protégé realization. SWIM 2011: 9
Coauthor Index
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last updated on 2024-10-07 22:16 CEST by the dblp team
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