Formalization of 2-D spatial ontology and OWL/Protégé realization. - Kulsawasd Jitkajornwanich; Ramez Elmasri; Chengkai Li 001; John McEnery (SWIM, 2011)

Extracting storm-centric characteristics from raw rainfall data for storm analysis and mining. - Kulsawasd Jitkajornwanich; Ramez Elmasri; John McEnery; Chengkai Li 001 (BigSpatial@SIGSPATIAL, 2012)

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 (IEEE BigData, 2013)

Conceptual Analysis of Big Data Using Ontologies and EER. - Kulsawasd Jitkajornwanich; Ramez Elmasri (MOD, 2015)

Adapting K-means clustering to identify spatial patterns in storms. - Upa Gupta; Kulsawasd Jitkajornwanich; Ramez Elmasri; Leonidas Fegaras (IEEE BigData, 2016)

Road map extraction from satellite imagery using connected component analysis and landscape metrics. - Kulsawasd Jitkajornwanich; Peerapon Vateekul; Teerapong Panboonyuen; Siam Lawawirojwong; Siwapon Srisonphan (IEEE BigData, 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 (IEEE BigData, 2017)

An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery. - Teerapong Panboonyuen; Peerapon Vateekul; Kulsawasd Jitkajornwanich; Siam Lawawirojwong (IC2IT, 2017)

Temporal kNN for short-term ocean current prediction based on HF radar observations. - Arnon Jirakittayakorn; Teeranai Kormongkolkul; Peerapon Vateekul; Kulsawasd Jitkajornwanich; Siam Lawawirojwong (JCSSE, 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)

A Survey of Spatio-Temporal Database Research. - Neelabh Pant; Mohammadhani Fouladgar; Ramez Elmasri; Kulsawasd Jitkajornwanich (ACIIDS (2), 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 (IEEE BigData, 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 (JCSSE, 2018)

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 (ICCPR, 2019)

A Hybrid of Shallow and Deep Learning for Odor Classification Based on Adaptive Boosting. - Boonyawee Grodniyomchai; Khattiya Chalapat; Kulsawasd Jitkajornwanich; Saichon Jaiyen (ICCSCE, 2019)

Moving Object Detection Using Integrated Spatial and Motion-Based Method. - Manit Chansuparp; Kulsawasd Jitkajornwanich (JCSSE, 2019)

Spatio-Temporal Deep Learning for Ocean Current Prediction Based on HF Radar Data. - Nathachai Thongniran; Peerapon Vateekul; Kulsawasd Jitkajornwanich; Siam Lawawirojwong; Panu Srestasathiern (JCSSE, 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)

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)

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)

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)

Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images. - Teerapong Panboonyuen; Kulsawasd Jitkajornwanich; Siam Lawawirojwong; Panu Srestasathiern; Peerapon Vateekul (Remote. Sens., 2021)

A Novel Augmentative Backward Reward Function with Deep Reinforcement Learning for Autonomous UAV Navigation. - Manit Chansuparp; Kulsawasd Jitkajornwanich (Appl. Artif. Intell., 2022)

LifeGuard: An Improvement of Actor-Critic Model with Collision Predictor in Autonomous UAV Navigation. - Manit Chansuparp; Kulsawasd Jitkajornwanich (Appl. Artif. Intell., 2022)

A Capacity Framework of Community Readiness for Supporting Big Data Science Projects during Cyberinfrastructure Diffusion. - Kerk F. Kee; Alex Olshansky; Shan Xu 001; Kulsawasd Jitkajornwanich (IEEE Big Data, 2023)

Question Classification for Thai Conversational Chatbots Using Artificial Neural Networks and Multilingual BERT Models. - Kit Thananukhun; Saichon Jaiyen; Kulsawasd Jitkajornwanich; Anantaporn Hanskunatai (KST, 2023)

Leveraging Race Prediction Algorithms to Enhance Team Composition in Big Data Science Teams. - Thanathip Chumthong; Kulsawasd Jitkajornwanich; Obada Kraishan; Kerk F. Kee; Akan Narabin (IEEE Big Data, 2024)

Visualizing Political Communication Trends across Generations on X (Twitter): Insights Through Topic Modeling and Word Clouds. - Prinwat Udomwisanpat; Kulsawasd Jitkajornwanich; Obada Kraishan; Panu Srestasathiern; Siam Lawawirojwong; Pattama Charoenporn (WI/IAT, 2024)

Debiasing misinformation: how do people diagnose health recommendations from AI? - Donghee Shin; Kulsawasd Jitkajornwanich; Joon Soo Lim; Anastasia Spyridou (Online Inf. Rev., 2024)