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Gregorius Natanael Elwirehardja
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2020 – today
- 2023
- [j3]Gregorius Natanael Elwirehardja, Jonathan Sebastian Prayoga, Suharjito:
Corrigendum to "Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches" [Comput. Electron. Agric. 188 (2021) 106359]. Comput. Electron. Agric. 207: 107735 (2023) - [c4]Mahmud Isnan, Gregorius Natanael Elwirehardja, Bens Pardamean:
Sentiment Analysis for TikTok Review Using VADER Sentiment and SVM Model. ICCSCI 2023: 168-175 - [c3]Gregorius Natanael Elwirehardja, Teddy Suparyanto, Miftakhurrokhmat, Bens Pardamean:
Determining Variables Associated with Annual Oil Palm Yield: An Explainable Gradient Boosting Approach. ICCSCI 2023: 262-271 - [c2]Reza Rahutomo, Gregorius Natanael Elwirehardja, Mahmud Isnan, Faisal Asadi, Bens Pardamean:
Machine Learning Implementations in Childhood Stunting Research: A Systematic Literature Review. ICIMTech 2023: 229-234 - 2022
- [j2]Bens Pardamean, Faizal Abid, Tjeng Wawan Cenggoro, Gregorius Natanael Elwirehardja, Hery Harjono Muljo:
Counting people inside a region-of-interest in CCTV footage with deep learning. PeerJ Comput. Sci. 8: e1067 (2022) - [c1]Nicholas Dominic, Gregorius Natanael Elwirehardja, Bens Pardamean:
Data Mining for the Global Multiplex Weekly Average Income Analysis. CENTERIS/ProjMAN/HCist 2022: 52-59 - 2021
- [j1]Suharjito, Gregorius Natanael Elwirehardja, Jonathan Sebastian Prayoga:
Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches. Comput. Electron. Agric. 188: 106359 (2021)
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