Добірка наукової літератури з теми "Spectral residual methods"
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Статті в журналах з теми "Spectral residual methods"
Canuto, Claudio, and Alfio Quarteroni. "Preconditioned minimal residual methods for chebyshev spectral calculations." Journal of Computational Physics 60, no. 2 (September 1985): 315–37. http://dx.doi.org/10.1016/0021-9991(85)90010-5.
Повний текст джерелаTSUCHIDA, Satoshi, Soichiro TANAKA, and Takayuki ODAJIMA. "Spectral Pattern Index for Logarithmic Residual and the similar methods." Journal of the Japan society of photogrammetry and remote sensing 32, no. 1 (1993): 25–35. http://dx.doi.org/10.4287/jsprs.32.25.
Повний текст джерелаWong, Yau Shu, Thomas A. Zang, and M. Yousuff Hussaini. "Preconditioned conjugate residual methods for the solution of spectral equations." Computers & Fluids 14, no. 2 (January 1986): 85–95. http://dx.doi.org/10.1016/0045-7930(86)90001-0.
Повний текст джерелаSchiff, N. D., K. P. Purpura, and J. D. Victor. "Gating of Local Network Signals Appears as Stimulus-Dependent Activity Envelopes in Striate Cortex." Journal of Neurophysiology 82, no. 5 (November 1, 1999): 2182–96. http://dx.doi.org/10.1152/jn.1999.82.5.2182.
Повний текст джерелаLi, Shaodan, Shiyu Fu, and Dongbo Zheng. "Rural Built-Up Area Extraction from Remote Sensing Images Using Spectral Residual Methods with Embedded Deep Neural Network." Sustainability 14, no. 3 (January 24, 2022): 1272. http://dx.doi.org/10.3390/su14031272.
Повний текст джерелаKim, Cheolsun, Dongju Park, and Heung-No Lee. "Compressive Sensing Spectroscopy Using a Residual Convolutional Neural Network." Sensors 20, no. 3 (January 21, 2020): 594. http://dx.doi.org/10.3390/s20030594.
Повний текст джерелаLiu, Qin, Letong Han, Rui Tan, Hongfei Fan, Weiqi Li, Hongming Zhu, Bowen Du, and Sicong Liu. "Hybrid Attention Based Residual Network for Pansharpening." Remote Sensing 13, no. 10 (May 18, 2021): 1962. http://dx.doi.org/10.3390/rs13101962.
Повний текст джерелаHe, S., H. Jing, and H. Xue. "SPECTRAL-SPATIAL MULTISCALE RESIDUAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 389–95. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-389-2022.
Повний текст джерелаMeng, Zhe, Lingling Li, Xu Tang, Zhixi Feng, Licheng Jiao, and Miaomiao Liang. "Multipath Residual Network for Spectral-Spatial Hyperspectral Image Classification." Remote Sensing 11, no. 16 (August 13, 2019): 1896. http://dx.doi.org/10.3390/rs11161896.
Повний текст джерелаShamsipour, Pejman, Michel Chouteau, and Denis Marcotte. "Data analysis of potential field methods using geostatistics." GEOPHYSICS 82, no. 2 (March 1, 2017): G35—G44. http://dx.doi.org/10.1190/geo2015-0631.1.
Повний текст джерелаДисертації з теми "Spectral residual methods"
Casper, Brent. "DEVELOPMENT OF AN EXTRACTION METHOD FOR THE MASS SPECTRAL ANALYSIS OF ORGANIC GUNSHOT RESIDUE FROM CLOTHING." UKnowledge, 2015. http://uknowledge.uky.edu/chemistry_etds/48.
Повний текст джерелаCali, José. "Etude des paramètres microscopiques de la piézorésistivité de couches minces polycristallines de silicium dopé bore." Université Joseph Fourier (Grenoble), 1996. http://www.theses.fr/1996GRE10055.
Повний текст джерелаSgattoni, Cristina. "Solving systems of nonlinear equations via spectral residual methods." Doctoral thesis, 2021. http://hdl.handle.net/2158/1238325.
Повний текст джерелаLiou, Chu Pheuil. "Tests d'ajustement reposant sur les méthodes d'ondelettes dans les modèles ARMA avec un terme d'erreur qui est une différence de martingales conditionnellement hétéroscédastique." Thèse, 2019. http://hdl.handle.net/1866/22551.
Повний текст джерелаКниги з теми "Spectral residual methods"
Sanghrajka, Anish, and Deborah M. Eastwood. Developmental dysplasia of the hip. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199550647.003.013017.
Повний текст джерелаЧастини книг з теми "Spectral residual methods"
Dozier, Haley, and James V. Lambers. "Krylov Subspace Spectral Methods with Coarse-Grid Residual Correction for Solving Time-Dependent, Variable-Coefficient PDEs." In Lecture Notes in Computational Science and Engineering, 317–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65870-4_22.
Повний текст джерелаPriya, K., and K. K. Rajkumar. "Hyperspectral and Multispectral Image Fusion Using Deep Convolutional Neural Network - ResNet Fusion." In Hyperspectral Imaging - A Perspective on Recent Advances and Applications [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105455.
Повний текст джерелаMatandabuzo, Mzukisi, and Delford Dovorogwa. "Activated Carbons from Waste Tyre Pyrolysis: Application." In Recent Perspectives in Pyrolysis Research. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99131.
Повний текст джерелаFerrell, Jeff. "Drift Method." In Drift. University of California Press, 2018. http://dx.doi.org/10.1525/california/9780520295544.003.0008.
Повний текст джерела"Understanding the Molecular Information Contained in the Infrared Spectra of Colombian Vacuum Residua by Principal Component Analysis." In Analytical Methods in Petroleum Upstream Applications, 298–323. CRC Press, 2015. http://dx.doi.org/10.1201/b18109-20.
Повний текст джерелаOrrego-Ruiz, Jorge, Daniel Molina, Enrique Mejía-Ospino, and Alexander Guzmán. "Understanding the Molecular Information Contained in the Infrared Spectra of Colombian Vacuum Residua by Principal Component Analysis." In Analytical Methods in Petroleum Upstream Applications, 275–300. CRC Press, 2015. http://dx.doi.org/10.1201/b18109-21.
Повний текст джерелаTankala, Manikyala Rao, Samuel Stella, Prayek Sandepogu, Kondaveeti Nanda Gopal, Ramesh Babu Mamillapalli, and Devarakonda Rambabu. "A Robust Method for Classification and Localization of Satellite Cyclonic Images Over the Bay of Bengal and the Arabian Sea Using Deep Learning." In Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis, 217–33. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3981-4.ch014.
Повний текст джерелаMcKnight, Rebecca, Jonathan Price, and John Geddes. "Eating disorders." In Psychiatry. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198754008.003.0035.
Повний текст джерелаWilson, M. T., and J. Torres. "Stopped-flow spectroscopy." In Spectrophotometry and Spectrofluorimetry. Oxford University Press, 2000. http://dx.doi.org/10.1093/oso/9780199638130.003.0012.
Повний текст джерела"niques were prepared using pentane as the solvent. Similar methods were used in preparing calibration samples with the mold release, solder flux, and hydraulic oil samples. All contaminated coupons were gentl y heated in an oven at 50°C for several days to remove both semi-volatile and volatile components. This served to stabi-lize the contaminants, allowing for quantification by weighing. Once the weights became stable, the coupons were cooled and weighed to determine the amount of contaminant present on the surface. When not being weighed or examined, the coupons were kept in a desiccator. 3. RESULTS AND DISCUSSION Grazing-angle incidence reflectance spectroscopy acts to enhance the detection sensitivity for thin layers of residue predominantly through improved coupling of th e electric field intensity of the incident beam with the vibrating dipoles of the surface contaminant layer perpendicular to the metallic surface. Some additional enhancement of the infrared absorption spectrum will also occur due to a length-ening of the effective path length through the absorbing thin film layer [4-6]. If the optical properties of both thin film and substrate are known (or can be de-termined), the reflection-absorption spectrum can be calculated as a function of film thickness and angle of incidence. This capability is particularly useful for in-terpreting experimental data and designing optical instrumentation. Computer codes written at Sandia [7] performed these calculations for a variety of materials. 3.1. FTIR measurements FTIR reflectance data for the full drawing-agent sample set were obtained at NFESC and Sandia using angles of incidence of 75 and 60° for average film thickness ranging from 0.1 to 1 |im, and aluminum substrates with surface finish ranging from 600 to 80 grit. Since the surface finishing operation produced a highly directional roughness, measurements were made both longitudinally and transversely with respect to the polishing grooves. R values were determined at." In Surface Contamination and Cleaning, 17–20. CRC Press, 2003. http://dx.doi.org/10.1201/9789047403289-5.
Повний текст джерелаТези доповідей конференцій з теми "Spectral residual methods"
"Spectral Solutions of a Combined Multifluid--population Balance ModelDescribing Bubbly Flow - A Numerical Study of weighted Residual Methods." In 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004477401020107.
Повний текст джерелаWu, Hangkong, Dingxi Wang, Xiuquan Huang, Hong Yan, and Jianling Li. "Investigation of Spectral Vanishing Viscosity for Stabilizing and Accelerating Solution of Time Spectral Equation System." In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/gt2018-76011.
Повний текст джерелаLiu, Yu, Pooya Ghaderi, and Andrew J. Dick. "High Fidelity Methods for Modeling Nonlinear Wave Propagation in One-Dimensional Waveguides." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88162.
Повний текст джерелаHuang, Xiuquan, and Ding Xi Wang. "Stabilizing and Accelerating Solution of Harmonic Balance Equation System Using the LU-SGS and Block Jacobi Methods." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57292.
Повний текст джерелаLu, Yi, Xin Yuan, and W. N. Dawes. "Investigation of 3D Internal Flow Using New Flux-Reconstruction High Order Method." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-69270.
Повний текст джерелаLuz, A. M. G., D. Balint, and K. Nikbin. "A Multiscale NDT System for Damage Detection in Thermal Barrier Coatings." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10694.
Повний текст джерелаGutman, William M., William A. Peterson, and Dennis M. Garvey. "Spatial frequency shifts in Fourier transform spectra." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.ftt2.
Повний текст джерелаWang, Jinli, Yongmei Liu, Li Wang, Haiou Guan, Songhuai Du, Juan Su, Yating Cai, and Tingting Fan. "Spectrum analysis method of residual current based on Hilbert-Huang transform." In 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2016. http://dx.doi.org/10.1109/pmaps.2016.7764118.
Повний текст джерелаFei Yang, Jingwen Dai, and Dan Liu. "A novel eye localization method based on spectral residual model." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4593958.
Повний текст джерелаZhang, Qian, Yulin Huang, Rufei Wang, Jifang Pei, Weibo Huo, and Junjie Wu. "Ship Targets Detection with Dual Downscaling Spectral Residual Method in SAR Image." In 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2019. http://dx.doi.org/10.1109/apsar46974.2019.9048331.
Повний текст джерелаЗвіти організацій з теми "Spectral residual methods"
Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7585193.bard.
Повний текст джерела