An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling

Automated spectroscopic modelling with optimised convolutional neural networks

(2021) Zefang Shen et al.   Scientific Reports

Improved prediction of protein content in wheat kernels with a fusion of scatter correction methods in NIR data modelling

(2021) Puneet Mishra et al.   BIOSYSTEMS ENGINEERING

Improved prediction of minced pork meat chemical properties with near-infrared spectroscopy by a fusion of scatter-correction techniques

(2021) Puneet Mishra et al.   INFRARED PHYSICS & TECHNOLOGY

Chemometric pre-processing can negatively affect the performance of near-infrared spectroscopy models for fruit quality prediction

(2021) Puneet Mishra et al.   TALANTA

Deep multiblock predictive modelling using parallel input convolutional neural networks

(2021) Puneet Mishra et al.   ANALYTICA CHIMICA ACTA

Characterization of microplastics on filter substrates based on hyperspectral imaging: Laboratory assessments

(2020) Chunmao Zhu et al.   ENVIRONMENTAL POLLUTION

Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy

(2020) Isaac O. Afara et al.   Cellular and Molecular Bioengineering

A deep learning based regression method on hyperspectral data for rapid prediction of cadmium residue in lettuce leaves

(2020) Zhou Xin et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Sequential preprocessing through ORThogonalization (SPORT) and its application to near infrared spectroscopy

(2020) Jean-Michel Roger et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

SPORT pre-processing can improve near-infrared quality prediction models for fresh fruits and agro-materials

(2020) Puneet Mishra et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

So you think you can PLS-DA?

(2020) Daniel Ruiz-Perez et al.   BMC BIOINFORMATICS

Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images

(2019) Gerrit Polder et al.   Frontiers in Plant Science

Near infrared (NIR) spectroscopy-based classification for the authentication of Darjeeling black tea

(2019) Patrizia Firmani et al.   FOOD CONTROL

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Near infrared spectroscopy: A mature analytical technique with new perspectives – A review

(2018) Celio Pasquini   ANALYTICA CHIMICA ACTA

Deep-learning-based regression model and hyperspectral imaging for rapid detection of nitrogen concentration in oilseed rape ( Brassica napus L. ) leaf

(2018) Xinjie Yu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Near infrared spectroscopy for classification of bacterial pathogen strains based on spectral transforms and machine learning

(2018) Ke-Xin Mu et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration

(2018) Chenhao Cui et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Methods for interpreting and understanding deep neural networks

(2018) Grégoire Montavon et al.   DIGITAL SIGNAL PROCESSING

Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products

(2018) Puneet Mishra et al.   JOURNAL OF FOOD ENGINEERING

Development of deep learning method for predicting firmness and soluble solid content of postharvest Korla fragrant pear using Vis/NIR hyperspectral reflectance imaging

(2018) Xinjie Yu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Quality analysis, classification, and authentication of liquid foods by near-infrared spectroscopy: A review of recent research developments

(2016) Lu Wang et al.   CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION

Simple and Effective Way for Data Preprocessing Selection Based on Design of Experiments

(2015) Jan Gerretzen et al.   ANALYTICAL CHEMISTRY

Breaking with trends in pre-processing?

(2013) Jasper Engel et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Gasoline classification using near infrared (NIR) spectroscopy data: Comparison of multivariate techniques

(2010) Roman M. Balabin et al.   ANALYTICA CHIMICA ACTA

Review of the most common pre-processing techniques for near-infrared spectra

(2009) Åsmund Rinnan et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Characterisation and Classification of Italian Virgin Olive Oils by Near- and Mid-Infrared Spectroscopy

(2008) Nicolett Sinelli et al.   JOURNAL OF NEAR INFRARED SPECTROSCOPY