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Sensors (Basel, Switzerland)|April 13, 2024
Exploring Deep Learning to Predict Coconut Milk Adulteration Using FT-NIR and Micro-NIR SpectroscopyAgustami Sitorus, Ravipat Lapcharoensuk
Food Chemistry|July 9, 2026
Systematic evaluation of one-dimensional-to-two-dimensional near-infrared spectroscopy transformations with deep learning for quantifying coconut sap adulterationRavipat Lapcharoensuk, Agustami Sitorus
Food Chemistry|June 21, 2024
Development of automatic tuning for combined preprocessing and hyperparameters of machine learning and its application to NIR spectral data of coconut milk adulterationAgustami Sitorus, Ravipat Lapcharoensuk
Sensors (Basel, Switzerland)|November 27, 2024
Rapid Classification of Sugarcane Nodes and Internodes Using Near-Infrared Spectroscopy and Machine Learning TechniquesSiramet Veerasakulwat, Agustami Sitorus, Vasu Udompetaikul
Data in Brief|September 2, 2021
Experimental push and pull force data utilizing self-developed automatic liquid dispensersAgustami Sitorus, Irwin Syahri Cebro, Devianti, et al.
Foods (Basel, Switzerland)|March 11, 2023
Nondestructive Detection of Pesticide Residue (Chlorpyrifos) on Bok Choi (Brassica rapa subsp. Chinensis) Using a Portable NIR Spectrometer Coupled with a Machine Learning ApproachRavipat Lapcharoensuk, Chawisa Fhaykamta, Watcharaporn Anurak, et al.
Data in Brief|October 25, 2021
Oscillation effect dataset on the measurement accuracy of load-cell sensor applied to the weigh basketNunik Destria Arianti, Muhamad Muslih, Agustami Sitorus, et al.
Data in Brief|May 19, 2021
Dataset of adulteration with water in coconut milk using FTIR spectroscopyAgustami Sitorus, Muhamad Muslih, Irwin Syahri Cebro, et al.
Polymers|January 23, 2024
Classification of the Crosslink Density Level of Para Rubber Thick Film of Medical Glove by Using Near-Infrared Spectral DataJiraporn Sripinyowanich Jongyingcharoen, Suppakit Howimanporn, Agustami Sitorus, et al.
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