Recent applications of spectroscopic and hyperspectral imaging techniques with chemometric analysis for rapid inspection of microbial spoilage in muscle foods
Muscle food is one of the most perishable food products because of its vulnerability to
microbial spoilage, which can result in critical food safety problems. Traditional techniques …
microbial spoilage, which can result in critical food safety problems. Traditional techniques …
Nonlinear SVM approaches to QSPR/QSAR studies and drug design
JP Doucet, F Barbault, H Xia… - … Computer-Aided Drug …, 2007 - ingentaconnect.com
Recently, a new promising nonlinear method, the support vector machine (SVM), was
proposed by Vapnik. It rapidly found numerous applications in chemistry, biochemistry and …
proposed by Vapnik. It rapidly found numerous applications in chemistry, biochemistry and …
Applications of support vector machines in chemistry
O Ivanciuc - Reviews in computational chemistry, 2007 - Wiley Online Library
Kernel-based techniques (such as support vector machines, Bayes point machines, kernel
principal component analysis, and Gaussian processes) represent a major development in …
principal component analysis, and Gaussian processes) represent a major development in …
Development of hyperspectral imaging coupled with chemometric analysis to monitor K value for evaluation of chemical spoilage in fish fillets
K value is an important freshness index widely used for indication of nucleotide degradation
and assessment of chemical spoilage. The feasibility of hyperspectral imaging (400–1000 …
and assessment of chemical spoilage. The feasibility of hyperspectral imaging (400–1000 …
Flexible carbon nanotube sensors for nerve agent simulants
K Cattanach, RD Kulkarni, M Kozlov… - Nanotechnology, 2006 - iopscience.iop.org
Chemiresistor-based vapour sensors made from network films of single-walled carbon
nanotube (SWNT) bundles on flexible plastic substrates (polyethylene terephthalate, PET) …
nanotube (SWNT) bundles on flexible plastic substrates (polyethylene terephthalate, PET) …
Post hoc support vector machine learning for impedimetric biosensors based on weak protein–ligand interactions
Impedimetric biosensors for measuring small molecules based on weak/transient
interactions between bioreceptors and target analytes are a challenge for detection …
interactions between bioreceptors and target analytes are a challenge for detection …
Data fusion and hyperspectral imaging in tandem with least squares-support vector machine for prediction of sensory quality index scores of fish fillet
The study of visible and near-infrared hyperspectral imaging (400–1000 nm) in tandem with
data fusion technique was conducted to predict sensory quality index scores (QIS) of grass …
data fusion technique was conducted to predict sensory quality index scores (QIS) of grass …
Advances in analytical technologies for environmental protection and public safety
Due to the increased threats of chemical and biological agents of injury by terrorist
organizations, a significant effort is underway to develop tools that can be used to detect and …
organizations, a significant effort is underway to develop tools that can be used to detect and …
Vapor pressure and toxicity prediction for novichok agent candidates using machine learning model: preparation for unascertained nerve agents after chemical …
The recent terrorist attacks using Novichok agents and subsequent operations have
necessitated an understanding of its physicochemical properties, such as vapor pressure …
necessitated an understanding of its physicochemical properties, such as vapor pressure …
Fluorescent Chemosensors for Selective and Sensitive Detection of Phosmet/Chlorpyrifos with Octahedral Ni2+ Complexes
The hexadentate ligands H 2 L1–L3 with mixed S, N, O donor sites and possessing
substituents having either “no” or electron-releasing/withdrawing nature at terminal ends are …
substituents having either “no” or electron-releasing/withdrawing nature at terminal ends are …