Academic literature on the topic 'NIR predictions'
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Journal articles on the topic "NIR predictions"
Bray, J. G. P., R. Viscarra Rossel, and A. B. McBratney. "Diagnostic screening of urban soil contaminants using diffuse reflectance spectroscopy." Soil Research 47, no. 4 (2009): 433. http://dx.doi.org/10.1071/sr08068.
Full textVALDES, E. V., L. G. YOUNG, I. McMILLAN, and J. E. WINCH. "ANALYSIS OF HAY, HAYLAGE AND CORN SILAGE SAMPLES BY NEAR INFRARED REFLECTANCE SPECTROSCOPY." Canadian Journal of Animal Science 65, no. 3 (1985): 753–60. http://dx.doi.org/10.4141/cjas85-088.
Full textParent, Elizabeth Jeanne, Serge-Étienne Parent, and Léon Etienne Parent. "Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling." PLOS ONE 16, no. 7 (2021): e0233242. http://dx.doi.org/10.1371/journal.pone.0233242.
Full textPozza, L. E., T. F. A. Bishop, U. Stockmann, and G. F. Birch. "Integration of vis-NIR and pXRF spectroscopy for rapid measurement of soil lead concentrations." Soil Research 58, no. 3 (2020): 247. http://dx.doi.org/10.1071/sr19174.
Full textYang, Meihua, Songchao Chen, Xi Guo, Zhou Shi, and Xiaomin Zhao. "Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping." Remote Sensing 15, no. 6 (2023): 1617. http://dx.doi.org/10.3390/rs15061617.
Full textXu, Qinghua, Menghua Qin, Yonghao Ni, Maurice Defo, Barbara Dalpke, and Gail Sherson. "Predictions of wood density and module of elasticity of balsam fir (Abies balsamea) and black spruce (Picea mariana) from near infrared spectral analyses." Canadian Journal of Forest Research 41, no. 2 (2011): 352–58. http://dx.doi.org/10.1139/x10-215.
Full textMaudoux, Marc, Shou He Yan, and Sonia Collin. "Quantitative Analysis of Alcohol, Real Extract, Original Gravity, Nitrogen and Polyphenols in Beers Using NIR Spectroscopy." Journal of Near Infrared Spectroscopy 6, A (1998): A363—A366. http://dx.doi.org/10.1255/jnirs.225.
Full textFeng, Xiaoyu, Rebecca A. Larson, and Matthew F. Digman. "Evaluation of Near-Infrared Reflectance and Transflectance Sensing System for Predicting Manure Nutrients." Remote Sensing 14, no. 4 (2022): 963. http://dx.doi.org/10.3390/rs14040963.
Full textMammadov, Elton, Michael Denk, Amrakh I. Mamedov, and Cornelia Glaesser. "Predicting Soil Properties for Agricultural Land in the Caucasus Mountains Using Mid-Infrared Spectroscopy." Land 13, no. 2 (2024): 154. http://dx.doi.org/10.3390/land13020154.
Full textAaljoki, Kari. "Automated Quality Assurance of Online NIR Analysers." Journal of Automated Methods and Management in Chemistry 2005, no. 2 (2005): 44–49. http://dx.doi.org/10.1155/jammc.2005.44.
Full textDissertations / Theses on the topic "NIR predictions"
Lomiwes, Dominic. "Rapid on-line Glycogen measurement and prediction of ultimate pH in slaughter beef." AUT University, 2008. http://hdl.handle.net/10292/970.
Full textRomero, Danilo Jefferson. "Procedimento para uniformização de espectros de solos (VIS-NIR-SWIR)." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/11/11140/tde-07012016-165309/.
Full textShan, Jiajia. "Prediction of Roasting Degrees and Chlorogenic Acid Concentration of Coffee by NIR Spectroscopy." Kyoto University, 2015. http://hdl.handle.net/2433/199343.
Full textOlewnik, Maureen Cecilia Noonan. "Predicting commercial scale baking quality characteristics of wheat and flour using NIR /." Search for this dissertation online, 2003. http://wwwlib.umi.com/cr/ksu/main.
Full textJoshi, Prabesh. "SUPERVISED CLASSIFICATION OF FRESH LEAFY GREENS AND PREDICTION OF THEIR PHYTOCHEMICAL CONTENTS USING NEAR INFRARED REFLECTANCE." OpenSIUC, 2018. https://opensiuc.lib.siu.edu/theses/2467.
Full textMcNulty, Christopher S. (Christopher Sean) 1976. "Spectral processing algorithms for predicting glucose concentration of various solutions from NIR absorbance spectroscopy." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80611.
Full textRicks, David Leon. "Predicting NIF carryover at Public Works Centers." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23093.
Full textSaul, Kaelin E. "Development of NIR spectroscopy models for starch content prediction and ethanol production from mutant grain sorghum." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/32553.
Full textDurgin, Gregory David. "Advanced Site-Specific Propagation Prediction Techniques." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36746.
Full textKeating, Marvin Scott. "Prediction of diet quality parameters of Rocky Mountain Elk via near infrared reflectance spectroscopy (NIRS) fecal profiling." Texas A&M University, 2003. http://hdl.handle.net/1969.1/3949.
Full textBooks on the topic "NIR predictions"
M, Wallace John. El Nin o and climate prediction. National Oceanic and Atmosphere Administration, 1999.
Find full textRicks, David Leon. Predicting NIF carryover at Public Works Centers. Naval Postgraduate School, 1988.
Find full textKabushiki Kaisha. "Nihon no Ronten" Henshūbu Bungei Shunjū. Kyodai jishin: Ken'i 16-nin no keikoku. Bungei Shunjū, 2011.
Find full textWallace, John M. El Niño and climate prediction. National Oceanic and Atmosphere Administration, 1999.
Find full textM, Wallace John. El Niño and climate prediction. [University Corporation for Atmospheric Research, Office for Interdisciplinary Earth Studies], 1994.
Find full textDel Río Celestino, Mercedes, and Rafael Font Villa, eds. Using Vis-NIR Spectroscopy for Predicting Quality Compounds in Foods. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-7500-1.
Full textSanderson, Benjamin Mark. Uncertainty Quantification in Multi-Model Ensembles. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.707.
Full textDamon, Cynthia. Writing with Posterity in Mind. Edited by Sara Forsdyke, Edith Foster, and Ryan Balot. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199340385.013.43.
Full textWillmott, H. P. When Men Lost Faith in Reason. Greenwood Publishing Group, Inc., 2002. http://dx.doi.org/10.5040/9798216034926.
Full textNeligan, Patrick J., and Clifford S. Deutschman. Management of metabolic acidosis in the critically ill. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0256.
Full textBook chapters on the topic "NIR predictions"
Robert, Pauline, Charlotte Brault, Renaud Rincent, and Vincent Segura. "Phenomic Selection: A New and Efficient Alternative to Genomic Selection." In Methods in Molecular Biology. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2205-6_14.
Full textYe, Zijian, and Yi Mou. "Crayfish Quality Analysis Based on SVM and Infrared Spectra." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_99.
Full textEl-Dib, Mohamed. "Near-Infrared Spectroscopy (NIRS)." In Neonatal Brain Injury. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-55972-3_17.
Full textShi, Yang, Rujing Wang, and Yubing Wang. "Soil Organic Carbon Prediction Using Vis-NIR Spectroscopy with a Large Dataset." In Computer and Computing Technologies in Agriculture XI. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-06137-1_8.
Full textParab, Jivan, M. Sequeira, R. S. Gad, and G. M. Naik. "Effect of Reduced Point NIR Spectroscopy on Glucose Prediction Error in Human Blood Tissue." In Biomedical Engineering and Computational Intelligence. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21726-6_9.
Full textSengupta, Reshma, Anil Kumar Bag, Bipan Tudu, and Rajib Bandyopadhyay. "Machine Learning Approach of Polyphenol Content Prediction for Fresh Tea Leaves Using NIR Spectroscopy." In Springer Proceedings in Information and Communication Technologies. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-5157-0_39.
Full textSaha, Dhritiman, T. Senthilkumar, Chandra B. Singh, and Annamalai Manickavasagan. "Application of Near-Infrared (NIR) Hyperspectral Imaging System for Protein Content Prediction in Chickpea Flour." In Agriculture-Centric Computation. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43605-5_11.
Full textJain, Sarika, and Pooja Harde. "NER-IPL: Indian Legal Prediction Dataset for Named Entity Recognition." In Lecture Notes in Operations Research. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61589-4_4.
Full textYi, Xin, and Ling Li. "Research on Trajectory Prediction of Near Space Target Based on NAR Neural Network." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_613.
Full textSun, Tong, Wenli Xu, Xiao Wang, and Muhua Liu. "Improvement of Soluble Solids Content Prediction in Navel Oranges by Vis/NIR Semi-Transmission Spectra and UVE-GA-LSSVM." In Advances in Intelligent Systems and Computing. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54930-4_37.
Full textConference papers on the topic "NIR predictions"
Gallios, Ioannis, and Nikolaos Tziolas. "Synergistic Use of Low-Cost Nir Scanner and Geospatial Covariates to Enhance Soil Organic Carbon Predictions Using Dual Input Deep Learning Techniques." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640665.
Full textIqbal, Imam M., Xinyu Wang, Isabell Viedt, and Leonhard Urbas. "Leveraging Machine Learning for Real-Time Performance Prediction of Near Infrared Separators in Waste Sorting Plant." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.130911.
Full textKumar, Bhawnesh, Umesh Kumar Tiwari, and Dinesh C. Dobhal. "NFR Elicitation and Priority Prediction in ASD." In 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2024. https://doi.org/10.1109/aisp61711.2024.10870641.
Full textKumar, Praveen, Manika Gupta, Priyanka Priyanka, Anuj Kumar Dubey, and Varun Dutt. "Predicting NIRF Ranking via Novel K-Star Ensembles." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724404.
Full textZheng, Aotian, Jenq-Neng Hwang, Yudong Liu, et al. "Automatic Fish Age Prediction Using Deep Machine Learning: Combining Otolith Image, FT-NIR Spectra and Metadata Features." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). IEEE, 2025. https://doi.org/10.1109/wacvw65960.2025.00165.
Full textYun, Jushik, Manuel Marya, and Alireza Zolfaghari. "Methodologies to Predict the Operational Limits of Nonmetallic Materials in Well Applications: the Cases of Hydrocarbon Production and Carbon Dioxide Sequestration." In MECC 2023. AMPP, 2023. https://doi.org/10.5006/mecc2023-20049.
Full textAl-Nasr, Ashar Seif, Ahmed Darweesh, Samir Abozyd, Bassem Mortada, and Yasser M. Sabry. "Dual-Modality Machine Learning: Enhancing Predictions with NIR Spectra and Interferogram Data Fusion." In 2024 International Conference on Machine Intelligence and Smart Innovation (ICMISI). IEEE, 2024. http://dx.doi.org/10.1109/icmisi61517.2024.10580341.
Full textBazar, George, Zoltan Kovacs, and Isabel Hoffmann. "Detection of beef aging combined with the differentiation of tenderloin and sirloin using a handheld NIR scanner." In OCM 2017 - 3rd International Conference on Optical Characterization of Materials. KIT Scientific Publishing, 2017. http://dx.doi.org/10.58895/ksp/1000063696-3.
Full textSutar, Ashish, Anandvinod Dalmiya, Manaf Sheyyab, et al. "Prospects for Low-Resolution NDIR Sensors to Discern Ignition Properties of Fuels." In ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-104214.
Full textCheng, Bo, Steven Price, Xibing Gong, James Lydon, Kenneth Cooper, and Kevin Chou. "Speed Function Effects in Electron Beam Additive Manufacturing." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36664.
Full textReports on the topic "NIR predictions"
Frydman, Roman, and Joshua Stillwagon. Market Participants Neither Commit Predictable Errors nor Conform to REH: Evidence from Survey Data of Inflation Forecasts. Institute for New Economic Thinking Working Paper Series, 2021. http://dx.doi.org/10.36687/inetwp163.
Full textGinis, Isaac, Deborah Crowley, Peter Stempel, and Amanda Babson. The impact of sea level rise during nor?easters in New England: Acadia National Park, Boston Harbor Islands, Boston National Historical Park, and Cape Cod National Seashore. National Park Service, 2024. http://dx.doi.org/10.36967/2304306.
Full textAgassi, Menahem, Michael J. Singer, Eyal Ben-Dor, et al. Developing Remote Sensing Based-Techniques for the Evaluation of Soil Infiltration Rate and Surface Roughness. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7586479.bard.
Full textMaslo, Brooke, Morgan Mark, Kathleen Kerwin, et al. Habitat use and foraging ecology of bats in Morristown National Historical Park: Effects of invasive vegetation. National Park Service, 2024. http://dx.doi.org/10.36967/2303689.
Full textLandau, Sergei Yan, John W. Walker, Avi Perevolotsky, Eugene D. Ungar, Butch Taylor, and Daniel Waldron. Goats for maximal efficacy of brush control. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7587731.bard.
Full textMinz, Dror, Stefan J. Green, Noa Sela, Yitzhak Hadar, Janet Jansson, and Steven Lindow. Soil and rhizosphere microbiome response to treated waste water irrigation. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7598153.bard.
Full textVargas-Herrera, Hernando, Juan José Ospina, Carlos Alfonso Huertas-Campos, et al. Informe de Política Monetaria - Julio de 2021. Banco de la República de Colombia, 2021. http://dx.doi.org/10.32468/inf-pol-mont-eng.tr3.-2021.
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