Time series spectral imaging facilitates a comprehensive understanding of the underlying dynamics multi-component systems and processes. Most existing classification strategies focus exclusively on features they tend to fail when spectra between classes closely resemble each other. This work proposes hybrid approach principal component analysis (PCA) deep learning (i.e., long short-term memory ...

Laser-induced breakdown spectroscopy (LIBS) is a simple and straightforward technique of atomic emission that can provide multi-element detection quantification in any material, in-situ real time because all elements emit the 200–900 nm spectral range LIBS optical emission. This study evaluated two practical applications LIBS—validation labels assigned to garnets museum collections discriminati...

Background The antitumoral efficacy of aqueous Viscum album extracts is attributed to the presence lectins and viscotoxins. However, previous studies demonstrated an activity European V. ethanolic homeopathic tinctures (VAHT) prepared according methodology. Aims To investigate seasonal influences (summer winter) in metabolomic profile ssp. mother evaluate some VAHT 3D tumor spheroid models. Met...

Physiological maturity of bananas is vital importance in determination their quality and marketability. This study assessed, with the use a Vis/NIR hyperspectral imaging (400–1000 nm), feasibility differentiating six levels (maturity level 2, 4, 6 to 9) green dwarf banana characterizing changes during maturation. Spectra were extracted from three zones (pedicel, middle apex zone) each finger, r...

Machine learning methods, especially deep models, have achieved impressive performance in various natural language processing tasks including sentiment analysis. However, models are more demanding for training data. Data augmentation techniques widely used to generate new instances based on modifications existing data or relying external knowledge bases address annotated scarcity, which hinders...

Final Report: ARO Terrestrial Research Program, Methodologies and Protocols for Characterization of Geomaterials Report Title The third and final year of this project continued to focus on the use of laser-induced breakdown spectroscopy (LIBS) for the analysis of geomaterials. LIBS was utilized for geochemical fingerprinting of an extensive suite carbonate minerals, including those of biogenic ...

This paper reports on the construction of an efficacious model for a non-invasive identification of traditional Chinese medicines, Liuwei Dihuang pills from different manufacturers, on the basis of near-infrared spectra (NIRS) coupled with moving window partial least-squares discriminant analysis (MWPLSDA). Considering the continuity of near-infrared spectral measurements, MWPLSDA is used to id...

An optical sensor system, namely NIR laser scatter imaging system, was developed for rapid and noninvasive classification of foodborne pathogens. This developed system was used for images acquisition. The current study is focused on exploring the potential of this system combined with multivariate calibrations in classifying three categories of popular bacteria. Initially, normalization and Zer...

This research investigates the capability of field-based spectroscopy (350–2500 nm) for discriminating banana plants (Cavendish subgroup Williams) infested with spider mites from those unaffected. Spider are considered a major threat to agricultural production, as they occur on over 1000 plant species, including varieties. Plants were grown under controlled glasshouse environment remove any inf...