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Sony
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Elektro GmbH
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SpecTIR LLC
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Sony
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Nirmidas Biotech
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Rapiscan Systems Inc
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Spectronics corporation
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Elektro GmbH
dual vnir/ swir imaging system ![]() Dual Vnir/ Swir Imaging System, supplied by Elektro GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/swir+imager/dual+vnir++swir+imaging+system/10__1177_slash_09670335231213951-54-23-28 Average 90 stars, based on 1 article reviews
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KU Leuven
swir hyperspectral imaging ![]() Swir Hyperspectral Imaging, supplied by KU Leuven, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/product/swir+imager/swir+hyperspectral+imaging/10__1016_slash_j__foodcont__2016__06__001-5-23-62 Average 90 stars, based on 1 article reviews
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Elektro GmbH
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Photonics Inc
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ISUZU Optics
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Image Search Results
Journal: Sensors (Basel, Switzerland)
Article Title: Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors
doi: 10.3390/s22093347
Figure Lengend Snippet: Description and number of bovine and ovine parenchymatous organs used to develop automatic identification algorithms from visible (VIS) and short-wave infrared (SWIR) hyperspectral sensors and their combination (COMB) following removal of outliers. One heart from all spectra, one lung and one liver from VIS and COMB spectra, respectively, were removed.
Article Snippet: A prototype multi-sensory platform consisting of dual-view multi-energy X-ray attenuation and a
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors
doi: 10.3390/s22093347
Figure Lengend Snippet: Partial least squares discriminant analysis (PLS-DA) classification accuracy and coefficient of agreement (Kappa, κ) from visible (VIS), short-wave infrared (SWIR) and combination VIS and SWIR (COMB) hyperspectral sensors to differentiate bovine and ovine hearts, kidneys, livers, and lungs using various pre-processing methods on the leave-one-out cross validation (LOOCV) and in-sample datasets.
Article Snippet: A prototype multi-sensory platform consisting of dual-view multi-energy X-ray attenuation and a
Techniques: Biomarker Discovery
Journal: Sensors (Basel, Switzerland)
Article Title: Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors
doi: 10.3390/s22093347
Figure Lengend Snippet: Performance of visible (VIS), short-wave infrared (SWIR) and combination VIS and SWIR (COMB) hyperspectral sensors in identifying the type of organs using partial least squares discriminant analysis on the in-sample dataset.
Article Snippet: A prototype multi-sensory platform consisting of dual-view multi-energy X-ray attenuation and a
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors
doi: 10.3390/s22093347
Figure Lengend Snippet: Livestock organ classification from hyperspectral sensors using partial least squares discriminant analysis (PLS-DA) for visible (VIS), short-wave infrared (SWIR) and combination VIS and SWIR (COMB) hyperspectral sensors on the in-sample dataset.
Article Snippet: A prototype multi-sensory platform consisting of dual-view multi-energy X-ray attenuation and a
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors
doi: 10.3390/s22093347
Figure Lengend Snippet: Random forest algorithm classification accuracy and coefficient of agreement (Kappa, κ) from visible (VIS), short-wave infrared (SWIR) and combination VIS and SWIR (COMB) hyperspectral sensors to differentiate bovine and ovine hearts, kidneys, livers and lungs on the leave-one-out cross validation (LOOCV) and in-sample datasets.
Article Snippet: A prototype multi-sensory platform consisting of dual-view multi-energy X-ray attenuation and a
Techniques: Biomarker Discovery
Journal: Sensors (Basel, Switzerland)
Article Title: Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors
doi: 10.3390/s22093347
Figure Lengend Snippet: Livestock organ classification from hyperspectral sensors using random forest (RF) classification for visible (VIS), short-wave infrared (SWIR) and combination VIS and SWIR (COMB) hyperspectral sensors on the in-sample dataset.
Article Snippet: A prototype multi-sensory platform consisting of dual-view multi-energy X-ray attenuation and a
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors
doi: 10.3390/s22093347
Figure Lengend Snippet: Random forest model metrics per organ for visible (VIS), short-wave infrared (SWIR) and combination VIS and SWIR (COMB) hyperspectral sensors on the in-sample dataset.
Article Snippet: A prototype multi-sensory platform consisting of dual-view multi-energy X-ray attenuation and a
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: Differentiation of Livestock Internal Organs Using Visible and Short-Wave Infrared Hyperspectral Imaging Sensors
doi: 10.3390/s22093347
Figure Lengend Snippet: Principal components analysis (PC1 vs. PC2) plots for the first derivative of absorbance hyperspectral data of ( a ) visible (VIS); ( b ) short-wave infrared (SWIR); and ( c ) combination VIS and SWIR spectra for classification of bovine and ovine parenchymatous organs by type.
Article Snippet: A prototype multi-sensory platform consisting of dual-view multi-energy X-ray attenuation and a
Techniques: