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Considering the ongoing works in Natural Language Processing (NLP) with the Nepali language, it is evident that the use of Artificial Intelligence and NLP on this Devanagari script has still a long way to go. The Nepali language is complex in itself and requires multi-dimensional approaches for pre-processing the unstructured text and training the machines to comprehend the language competently. There seemed a need for a comprehensive Nepali language text corpus containing texts from domains such as News, Finance, Sports, Entertainment, Health, Literature, Technology.
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The data are used to identify the kinematic parameters deviation of Cartesian robot, train Gaussian Process Regression (GPR) model, record the compensation result of four calibration methods under different loading conditions.
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Four groups of wind speed series
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This data is related to the article “On the Spectral Quality of Time-Resolved CMOS SPAD-Based Raman Spectroscopy with High Fluorescence Backgrounds” that have been submitted to the IEEE Sensors Journal.
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This dataset was used in the article "Dias-Audibert FL, Navarro LC, de Oliveira DN, Delafiori J, Melo CFOR, Guerreiro TM, Rosa FT, Petenuci DL, Watanabe MAE, Velloso LA, Rocha AR and Catharino RR (2020) Combining Machine Learning and Metabolomics to Identify Weight Gain Biomarkers. Front. Bioeng. Biotechnol. 8:6. doi: 10.3389/fbioe.2020.00006", open access available at: https://doi.org/10.3389/fbioe.2020.00006.
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Oxygen is one of the most adverse gas that contaminates sterile drugs in glass medicine bottle, so it is of great significance to detect oxygen concentration for glass medicine bottle in order to ensure the asepsis of drug and the stability of ingredients. Wavelength modulation spectroscopy (WMS) is applied to achieve online oxygen concentration detection by the single-line spectrum analysis for the advantages of non-contact and high sensitivity.
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This data set consists of
1 Data set for learning noun-group patterns (from core products)
2 Data sets for the experiment assemble dependent bug reports (from Firefix product)
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