Kulsawasd Jitkajornwanich

According to our database, Kulsawasd Jitkajornwanich authored at least 27 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Debiasing misinformation: how do people diagnose health recommendations from AI?

Donghee Shin, Kulsawasd Jitkajornwanich, Joon Soo Lim, Anastasia Spyridou

Online Inf. Rev., 2024

2023

Question Classification for Thai Conversational Chatbots Using Artificial Neural Networks and Multilingual BERT Models.

Kit Thananukhun, Saichon Jaiyen, Kulsawasd Jitkajornwanich, Anantaporn Hanskunatai

Proceedings of the 15th International Conference on Knowledge and Smart Technology, 2023

A Capacity Framework of Community Readiness for Supporting Big Data Science Projects during Cyberinfrastructure Diffusion.

Kerk F. Kee, Alex Olshansky, Shan Xu, Kulsawasd Jitkajornwanich

Proceedings of the IEEE International Conference on Big Data, 2023

2022

LifeGuard: An Improvement of Actor-Critic Model with Collision Predictor in Autonomous UAV Navigation.

Manit Chansuparp, Kulsawasd Jitkajornwanich

Appl. Artif. Intell., December, 2022

A Novel Augmentative Backward Reward Function with Deep Reinforcement Learning for Autonomous UAV Navigation.

Manit Chansuparp, Kulsawasd Jitkajornwanich

Appl. Artif. Intell., 2022

2021

Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images.

Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul

Remote. Sens., 2021

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.

Kerk F. Kee, Bethanie Le, Kulsawasd Jitkajornwanich

Concurr. Comput. Pract. Exp., 2021

2020

Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise Atrous Convolution.

Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul

Remote. Sens., 2020

A survey on spatial, temporal, and spatio-temporal database research and an original example of relevant applications using SQL ecosystem and deep learning.

Kulsawasd Jitkajornwanich, Neelabh Pant, Mohammadhani Fouladgar, Ramez Elmasri

J. Inf. Telecommun., 2020

2019

Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning.

Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul

Remote. Sens., 2019

Spatio-Temporal Deep Learning for Ocean Current Prediction Based on HF Radar Data.

Nathachai Thongniran, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern

Proceedings of the 16th International Joint Conference on Computer Science and Software Engineering, 2019

Moving Object Detection Using Integrated Spatial and Motion-Based Method.

Manit Chansuparp, Kulsawasd Jitkajornwanich

Proceedings of the 16th International Joint Conference on Computer Science and Software Engineering, 2019

A Hybrid of Shallow and Deep Learning for Odor Classification Based on Adaptive Boosting.

Boonyawee Grodniyomchai, Khattiya Chalapat, Kulsawasd Jitkajornwanich, Saichon Jaiyen

Proceedings of the 9th IEEE International Conference on Control System, 2019

Combining Attentional CNN and GRU Networks for Ocean Current Prediction based on HF Radar Observations.

Nathachai Thongniran, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul

Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

2018

Semantic Segmentation On Medium-Resolution Satellite Images Using Deep Convolutional Networks With Remote Sensing Derived Indices.

Sirinthra Chantharaj, Kissada Pornratthanapong, Pitchayut Chitsinpchayakun, Teerapong Panboonyuen, Peerapon Vateekul, Siam Lawawirojwong, Panu Srestasathiern, Kulsawasd Jitkajornwanich

Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering, 2018

Utilizing Twitter Data for Early Flood Warning in Thailand.

Kulsawasd Jitkajornwanich, Chanwit Kongthong, Nattaya Khongsoontornjaroen, Jeedapa Kaiyasuan, Siam Lawawirojwong, Panu Srestasathiern, Siwapon Srisonphan, Peerapon Vateekul

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Survey of Spatio-Temporal Database Research.

Neelabh Pant, Mohammadhani Fouladgar, Ramez Elmasri, Kulsawasd Jitkajornwanich

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017

Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields.

Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Panu Srestasathiern, Peerapon Vateekul

Remote. Sens., 2017

Temporal kNN for short-term ocean current prediction based on HF radar observations.

Arnon Jirakittayakorn, Teeranai Kormongkolkul, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong

Proceedings of the 14th International Joint Conference on Computer Science and Software Engineering, 2017

An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery.

Teerapong Panboonyuen, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Siam Lawawirojwong

Proceedings of the Recent Advances in Information and Communication Technology 2017, 2017

Ocean surface current prediction based on HF radar observations using trajectory-oriented association rule mining.

Kulsawasd Jitkajornwanich, Peerapon Vateekul, Upa Gupta, Teeranai Kormongkolkul, Arnon Jirakittayakorn, Siam Lawawirojwong, Siwapon Srisonphan

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Road map extraction from satellite imagery using connected component analysis and landscape metrics.

Kulsawasd Jitkajornwanich, Peerapon Vateekul, Teerapong Panboonyuen, Siam Lawawirojwong, Siwapon Srisonphan

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Adapting K-means clustering to identify spatial patterns in storms.

Upa Gupta, Kulsawasd Jitkajornwanich, Ramez Elmasri, Leonidas Fegaras

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Conceptual Analysis of Big Data Using Ontologies and EER.

Kulsawasd Jitkajornwanich, Ramez Elmasri

Proceedings of the Machine Learning, Optimization, and Big Data, 2015

2013

Complete storm identification algorithms from big raw rainfall data using MapReduce framework.

Kulsawasd Jitkajornwanich, Upa Gupta, Sakthi Kumaran Shanmuganathan, Ramez Elmasri, Leonidas Fegaras, John McEnery

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Extracting storm-centric characteristics from raw rainfall data for storm analysis and mining.

Kulsawasd Jitkajornwanich, Ramez Elmasri, John McEnery, Chengkai Li

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2012

2011

Formalization of 2-D spatial ontology and OWL/Protégé realization.

Kulsawasd Jitkajornwanich, Ramez Elmasri, Chengkai Li, John McEnery

Proceedings of the International Workshop on Semantic Web Information Management, 2011