Kulsawasd Jitkajornwanich

Orcid: 0000-0002-6926-7577

According to our database1, Kulsawasd Jitkajornwanich authored at least 27 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2024
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Legend:

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Bibliography

2024
Debiasing misinformation: how do people diagnose health recommendations from AI?
Online Inf. Rev., 2024

2023
Question Classification for Thai Conversational Chatbots Using Artificial Neural Networks and Multilingual BERT Models.
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.
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.
Appl. Artif. Intell., December, 2022

A Novel Augmentative Backward Reward Function with Deep Reinforcement Learning for Autonomous UAV Navigation.
Appl. Artif. Intell., 2022

2021
Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images.
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.
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.
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.
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.
Remote. Sens., 2019

Spatio-Temporal Deep Learning for Ocean Current Prediction Based on HF Radar Data.
Proceedings of the 16th International Joint Conference on Computer Science and Software Engineering, 2019

Moving Object Detection Using Integrated Spatial and Motion-Based Method.
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.
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.
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.
Proceedings of the 15th International Joint Conference on Computer Science and Software Engineering, 2018

Utilizing Twitter Data for Early Flood Warning in Thailand.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Survey of Spatio-Temporal Database Research.
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.
Remote. Sens., 2017

Temporal kNN for short-term ocean current prediction based on HF radar observations.
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.
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.
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.
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.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Conceptual Analysis of Big Data Using Ontologies and EER.
Proceedings of the Machine Learning, Optimization, and Big Data, 2015

2013
Complete storm identification algorithms from big raw rainfall data using MapReduce framework.
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.
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.
Proceedings of the International Workshop on Semantic Web Information Management, 2011


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