Kulsawasd Jitkajornwanich

Author

King Mongkut's Institute of Technology Ladkrabang ORCID

Also Known As

Jitkajornwanich, Kulsawasd, Kerk F. Kee, Kulsawasd Jitkajornwanich

Publications

719

Citations

H-Index

Concepts

All Affiliations

King Mongkut's Institute of Technology Ladkrabang Chulalongkorn University National Science and Technology Development Agency The University of Texas at Arlington Texas Tech University

About

Kulsawasd Jitkajornwanich is an author at King Mongkut's Institute of Technology Ladkrabang specializing in engineering, data science, and geography.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	17	525
2	Arts	2	2	45
3	Medicine	2	2	102
4	Business	1	1	26
5	Public Health	1	1	26

Kulsawasd Jitkajornwanich

Publications

580

Citations

H-Index

Page 1

	Year	Citations
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Remote Sensing Convolutional Neural NetworkEngineeringObject SegmentationRoad ExtractionEarth Science	2017	102
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, Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningRemote Sensing DomainEarth Science	2019	90
Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images Teerapong Panboonyuen, Kulsawasd Jitkajornwanich, Siam Lawawirojwong, Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningDl NetworkMultimodal Llm	2021	72
Road Segmentation on Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields Teerapong Panboonyuen, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Preprints.org Convolutional Neural NetworkEngineeringMachine LearningObject SegmentationEarth Science	2017	38
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, Preprints.org Convolutional Neural NetworkEngineeringMachine LearningRemote Sensing DomainEarth Science	2019	34
How Algorithms Promote Self-Radicalization: Audit of TikTok’s Algorithm Using a Reverse Engineering Method Donghee Shin, Kulsawasd Jitkajornwanich Social Science Computer Review Artificial IntelligenceEngineeringCommunication Social ChangeSoftware EngineeringReverse Engineering	2024	32
Spatio-Temporal Deep Learning for Ocean Current Prediction Based on HF Radar Data Nathachai Thongniran, Peerapon Vateekul, Kulsawasd Jitkajornwanich, Convolutional Neural NetworkEngineeringMachine LearningHf Radar DataOceanography	2019	27
Debiasing misinformation: how do people diagnose health recommendations from AI? Donghee Shin, Kulsawasd Jitkajornwanich, Joon Soo Lim, Online Information Review DiagnosisHeuristic ProcessingMisinformationHealth CommunicationBias	2024	26
Semantic Segmentation On Medium-Resolution Satellite Images Using Deep Convolutional Networks With Remote Sensing Derived Indices Sirinthra Chantharaj, Kissada Pornratthanapong, Pitchayut Chitsinpchayakun, Convolutional Neural NetworkEngineeringAccurate SegmentationImage ClassificationImage Analysis	2018	16
Adapting K-means clustering to identify spatial patterns in storms Upa Gupta, Kulsawasd Jitkajornwanich, Ramez Elmasri, Cluster ComputingStorm SurgeEngineeringSpatiotemporal DatabaseData Science	2016	15

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