Chemometrics | Computer Vision Combining deep learning with chemometrics when it is really needed: A case of real time object detection and spectral model application for spectral image processing. March 28, 2022
Chemometrics | Spectroscopy Comparison of Convolutional and conventional Artificial Neural Networks for Laser-Induced Breakdown Spectroscopy quantitative analysis. March 16, 2022
Chemometrics | Data Analysis | Spectroscopy Feature selection of infrared spectra analysis with convolutional neural network. October 3, 2021
Chemometrics | Data Analysis | Deep Learning Deep multiblock predictive modelling using parallel input convolutional neural networks. May 24, 2021
Chemometrics | Food Science | Neural Networks Evaluation of the total volatile basic nitrogen (TVB-N) content in fish fillets using hyperspectral imaging coupled with deep learning neural network and meta-analysis. March 4, 2021
Chemometrics | Pharmacology Identification of Multi-Class Drugs Based on Near Infrared Spectroscopy and Bidirectional Generative Adversarial Networks. February 10, 2021
Agricultural Science | Chemometrics | Food Technology Rapid Detection of Pomelo Fruit Quality Using Near-Infrared Hyperspectral Imaging Combined With Chemometric Methods. January 29, 2021
Artificial Intelligence (AI) | Biomedical Engineering | Chemical Sensors | Chemometrics Advancing Biosensors with Machine Learning. November 13, 2020
Chemometrics | Machine Learning | Spectral Analysis Understanding the learning mechanism of convolutional neural networks in spectral analysis. May 22, 2020
Chemometrics | Environmental Science | Water Resource Management Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy. January 26, 2020
Chemometrics Deep learning for vibrational spectral analysis: Recent progress and a practical guide. August 28, 2019
Analytical Chemistry | Chemometrics | Data Science Using deep learning to evaluate peaks in chromatographic data. July 31, 2019