Machine learning methods in near infrared spectroscopy for predicting sensory traits in sweetpotatoes

JS Nantongo, E Serunkuma, G Burgos… - … Acta Part A: Molecular …, 2024‏ - Elsevier
It has been established that near infrared (NIR) spectroscopy has the potential of estimating
sensory traits given the direct spectral responses that these properties have in the NIR …

ISRToken: Learning similarities tokens for precise infrared spectrum recognition model via transformer

H Liu, Q An, Z Huan, M Bürmen, Q Deng… - Infrared Physics & …, 2023‏ - Elsevier
Infrared spectrum recognition (ISR) has been widely used in the fields of biomedical imaging
and cancer diagnosis. However, existing methods cannot deal with extreme infrared spectral …

Classification of Harvesting Age of Mango Based on NIR Spectra Using Machine Learning Algorithms.

ND Arianti, M Muslih, C Irawan… - Mathematical …, 2023‏ - search.ebscohost.com
The established assessment of post-harvest attributes, such as the age of harvesting day,
requires destructive sampling that the availability of fruit of trees can often limit and is …

Effects of Pre-Processing and Principal Components for Artificial Neural Network in Non-Destructive Internal Quality Prediction of Mango across Different Harvest …

YP Tan, KS Chia - 2023 IEEE 13th International Conference on …, 2023‏ - ieeexplore.ieee.org
Dry Matter content (DMC) is one of the important components can be used to determine the
quality of mango. However, DMC measurement is destructive and tedious. Although near …

Develo** an Optimal Brain Computer Interface Model using Functional Near Infrared Spectroscopy: A Review

JH Ong, KS Chia - Engineering Journal, 2023‏ - engj.org
Abstract Brain-Computer Interfaces (BCIs) are promising in advancing numerous
applications. Although many functional near-infrared spectroscopy (fNIRS)-based BCIs have …

[PDF][PDF] Mathematical Modelling of Engineering Problems

R Bulan - Journal homepage: http://iieta. org/journals/mmep, 2023‏ - academia.edu
Accepted: 12 February 2023 The established assessment of post-harvest attributes, such as
the age of harvesting day, requires destructive sampling that the availability of fruit of trees …