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IEEE Transactions on Cybernetics|July 10, 2012
Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning AlgorithmErkan Kayacan, Erdal Kayacan, Herman Ramon, et al.Talanta|March 11, 2014
Performance evaluation of preprocessing techniques utilizing expert information in multivariate calibrationSandeep Sharma, Mohammad Goodarzi, Herman Ramon, et al.Analytica Chimica Acta|May 4, 2013
Efficient use of pure component and interferent spectra in multivariate calibrationSandeep Sharma, Mohammad Goodarzi, Laure Wynants, et al.Applied Spectroscopy|April 4, 2014
Using experimental data designs and multivariate modeling to assess the effect of glycated serum protein concentration on glucose prediction from near-infrared spectra of human serumSandeep Sharma, Mohammad Goodarzi, Joris Delanghe, et al.Analytical Chemistry|June 6, 2008
Increasing robustness against changes in the interferent structure by incorporating prior information in the augmented classical least-squares frameworkWouter Saeys, Katrien Beullens, Jeroen Lammertyn, et al.Applied Optics|March 4, 2008
Optical properties of apple skin and flesh in the wavelength range from 350 to 2200 nmWouter Saeys, Maria A Velazco-Roa, Suresh N Thennadil, et al.Journal of Agricultural and Food Chemistry|February 18, 2009
Application of visible and near-infrared reflectance spectroscopy (Vis/NIRS) to determine carotenoid contents in banana (Musa spp.) fruit pulpMark W Davey, Wouter Saeys, Ellen Hof, et al.IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|December 20, 2008
A dynamic method to forecast the wheel slip for antilock braking system and its experimental evaluationYesim Oniz, Erdal Kayacan, Okyay KaynakTalanta|December 24, 2015
Selection of the most informative near infrared spectroscopy wavebands for continuous glucose monitoring in human serumMohammad Goodarzi, Wouter SaeysSpectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|February 9, 2025
Cost-efficient training of hyperspectral deep learning models for the detection of contaminating grains in bulk oats by fluorescent taggingEmma Van Puyenbroeck, Wouter SaeysPageof 11