AIMC Topic: Spectroscopy, Near-Infrared

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Prediction of the proximate analysis parameters of refuse-derived fuel based on deep learning approach.

Environmental science and pollution research international Oct 4, 2022
Determination of proximate characteristics can be achieved using conventional analyses methods that require a certain amount of time. In cement factories, refuse-derived fuel (RDF) is continuously fed to a kiln by a conveyor belt, so even if an inapp...
Refuse Disposal Garbage Spectroscopy, Near-Infrared Deep Learning
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A Machine Learning Perspective on fNIRS Signal Quality Control Approaches.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 19, 2022
Despite a rise in the use of functional Near Infra-Red Spectroscopy (fNIRS) to study neural systems, fNIRS signal processing is not standardized and is highly affected by empirical and manual procedures. At the beginning of any signal processing proc...
Neural Networks, Computer Humans Machine Learning Spectroscopy, Near-Infrared Quality Control Signal Processing, Computer-Assisted
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Near infrared spectroscopy quantification based on Bi-LSTM and transfer learning for new scenarios.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 13, 2022
This study proposed a deep transfer learning methodology based on an improved Bi-directional Long Short-Term Memory (Bi-LSTM) network for the first time to address the near infrared spectroscopy (NIR) model transfer issue between samples. We tested i...
Neural Networks, Computer Cattle Manure Animals Spectroscopy, Near-Infrared Deep Learning
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Linear or non-linear multivariate calibration models? That is the question.

Analytica chimica acta Aug 11, 2022
Concepts from data science, machine learning, deep learning and artificial neural networks are spreading in many disciplines. The general idea is to exploit the power of statistical tools to interpret complex and, in many cases, non-linear data. Spec...
Neural Networks, Computer Spectroscopy, Near-Infrared Calibration Least-Squares Analysis Linear Models
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Detection of Water pH Using Visible Near-Infrared Spectroscopy and One-Dimensional Convolutional Neural Network.

Sensors (Basel, Switzerland) Aug 3, 2022
pH is an important parameter for water quality detection. This study proposed a novel calibration regression strategy based on a one-dimensional convolutional neural network (1D-CNN) for water pH detection using visible near-infrared (Vis-NIR) spectr...
Least-Squares Analysis Hydrogen-Ion Concentration Support Vector Machine Neural Networks, Computer Spectroscopy, Near-Infrared
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Relation between Cortical Activation and Effort during Robot-Mediated Walking in Healthy People: A Functional Near-Infrared Spectroscopy Neuroimaging Study (fNIRS).

Sensors (Basel, Switzerland) Jul 25, 2022
Force and effort are important components of a motor task that can impact rehabilitation effectiveness. However, few studies have evaluated the impact of these factors on cortical activation during gait. The purpose of the study was to investigate th...
Robotics Walking Gait Neuroimaging Humans Spectroscopy, Near-Infrared
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Four-Class Classification of Neuropsychiatric Disorders by Use of Functional Near-Infrared Spectroscopy Derived Biomarkers.

Sensors (Basel, Switzerland) Jul 20, 2022
Diagnosis of most neuropsychiatric disorders relies on subjective measures, which makes the reliability of final clinical decisions questionable. The aim of this study was to propose a machine learning-based classification approach for objective diag...
Discriminant Analysis Spectroscopy, Near-Infrared Adolescent Support Vector Machine Bayes Theorem Biomarkers Reproducibility of Results Humans
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A powerful tool for near-infrared spectroscopy: Synergy adaptive moving window algorithm based on the immune support vector machine.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 14, 2022
Traditional trial-and-error methods are time-consuming and inefficient, especially very unfriendly to inexperienced analysts, and are sometimes still used to select preprocessing methods or wavelength variables in near-infrared spectroscopy (NIR). To...
Algorithms Spectroscopy, Near-Infrared Support Vector Machine Least-Squares Analysis Gasoline
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The Classification of Rice Blast Resistant Seed Based on Ranman Spectroscopy and SVM.

Molecules (Basel, Switzerland) Jun 25, 2022
Rice blast is a serious threat to rice yield. Breeding disease-resistant varieties is one of the most economical and effective ways to prevent damage from rice blast. The traditional identification of resistant rice seeds has some shortcoming, such a...
Algorithms Seeds Spectroscopy, Near-Infrared Plant Breeding Support Vector Machine
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Probing 1D convolutional neural network adapted to near-infrared spectroscopy for efficient classification of mixed fish.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 16, 2022
Salmon and Cod are economically significant world-class fish that have high economic value. It is difficult to accurately sort and process them by appearance during harvest and transportation. Conventional chemical detection means are time-consuming ...
Animals Spectroscopy, Near-Infrared Least-Squares Analysis Neural Networks, Computer Algorithms Fishes
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