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Mohammed Benaissa

Showing results (1-10 of 35) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Determination of glucose concentration from near-infrared spectra using locally weighted partial least square regressionBilal Malik, Mohammed Benaissa
Analytica Chimica Acta|October 4, 2011
Frequency self deconvolution in the quantitative analysis of near infrared spectraAmneh Al-Mbaideen, Mohammed Benaissa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Improving the prediction performance of PLSR using RReliefF and FSD for the quantitative analysis of glucose in Near Infrared spectraKrishna Chaitanya Patchava, Mohammed Benaissa, Hatim Behairy
IEEE Journal of Biomedical and Health Informatics|October 22, 2024
Physical Activity Integration in Blood Glucose Level Prediction: Different Levels of Data FusionHoda Nemat, Heydar Khadem, Jackie Elliott, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Hilbert Huang Transformation with filtering as a pre-treatment method for the quantitative study of glucose in near infrared spectraKrishna Chaitanya Patchava, Mohammed Benaissa, Shuzhi Sam Ge
Sensors (Basel, Switzerland)|May 13, 2026
Artificial Intelligence for Blood Glucose Level Prediction in Type 1 Diabetes: Methods, Evaluation, and Emerging AdvancesHeydar Khadem, Hoda Nemat, Jackie Elliott, et al.
Physical Chemistry Chemical Physics : PCCP|September 12, 2023
Preferred surface orientation for CO oxidation on SnO<sub>2</sub> surfacesZineb Kerrami, Anass Sibari, Mohammed Benaissa, et al.
Talanta|March 20, 2022
Signal fragmentation based feature vector generation in a model agnostic framework with application to glucose quantification using absorption spectroscopyHeydar Khadem, Hoda Nemat, Jackie Elliott, et al.
Journal of Agricultural and Food Chemistry|February 15, 2008
New bioactive biomaterials based on quaternized chitosanRachid Belalia, Stéphane Grelier, Mohammed Benaissa, et al.
Scientific Reports|September 19, 2024
Data-driven blood glucose level prediction in type 1 diabetes: a comprehensive comparative analysisHoda Nemat, Heydar Khadem, Jackie Elliott, et al.
Pageof 4

Showing results (1-10 of 35) with videos related to

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Pageof 4
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Determination of glucose concentration from near-infrared spectra using locally weighted partial least square regressionBilal Malik, Mohammed Benaissa
Analytica Chimica Acta|October 4, 2011
Frequency self deconvolution in the quantitative analysis of near infrared spectraAmneh Al-Mbaideen, Mohammed Benaissa
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Improving the prediction performance of PLSR using RReliefF and FSD for the quantitative analysis of glucose in Near Infrared spectraKrishna Chaitanya Patchava, Mohammed Benaissa, Hatim Behairy
IEEE Journal of Biomedical and Health Informatics|October 22, 2024
Physical Activity Integration in Blood Glucose Level Prediction: Different Levels of Data FusionHoda Nemat, Heydar Khadem, Jackie Elliott, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Hilbert Huang Transformation with filtering as a pre-treatment method for the quantitative study of glucose in near infrared spectraKrishna Chaitanya Patchava, Mohammed Benaissa, Shuzhi Sam Ge
Sensors (Basel, Switzerland)|May 13, 2026
Artificial Intelligence for Blood Glucose Level Prediction in Type 1 Diabetes: Methods, Evaluation, and Emerging AdvancesHeydar Khadem, Hoda Nemat, Jackie Elliott, et al.
Physical Chemistry Chemical Physics : PCCP|September 12, 2023
Preferred surface orientation for CO oxidation on SnO<sub>2</sub> surfacesZineb Kerrami, Anass Sibari, Mohammed Benaissa, et al.
Talanta|March 20, 2022
Signal fragmentation based feature vector generation in a model agnostic framework with application to glucose quantification using absorption spectroscopyHeydar Khadem, Hoda Nemat, Jackie Elliott, et al.
Journal of Agricultural and Food Chemistry|February 15, 2008
New bioactive biomaterials based on quaternized chitosanRachid Belalia, Stéphane Grelier, Mohammed Benaissa, et al.
Scientific Reports|September 19, 2024
Data-driven blood glucose level prediction in type 1 diabetes: a comprehensive comparative analysisHoda Nemat, Heydar Khadem, Jackie Elliott, et al.
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