02030nam 2200505 450 991070561930332120170908152907.0(CKB)5470000002452207(OCoLC)988393722(EXLCZ)99547000000245220720170531j200301 ua 0engurbn|||||||||txtrdacontentcrdamediacrrdacarrierFuel injector design optimization for an annular scramjet geometry /Christopher J. Steffen, JrCleveland, Ohio :National Aeronautics and Space Administration, Glenn Research Center,January 2003.1 online resource (15 pages) illustrationsNASA/TM ;2003-212094"January 2003.""Prepared for the 41st Aerospace Sciences Meeting and Exhibit sponsored by the American Institute of Aeronautics and Astronautics, Reno, Nevada, January 6-9, 2003.""Performing organization: National Aeronautics and Space Administration, John H. Glenn Research Center at Lewis Field" Report documentation page."AIAA-2003-0651."Includes bibliographical references (page 7).Computational fluid dynamicsnasatDesign optimizationnasatFuel injectionnasatInjectorsnasatRocket-based combined-cycle enginesnasatSupersonic combustion ramjet enginesnasatComputational fluid dynamics.Design optimization.Fuel injection.Injectors.Rocket-based combined-cycle engines.Supersonic combustion ramjet engines.Steffen Christopher J.1386995NASA Glenn Research Center,GPOGPOBOOK9910705619303321Fuel injector design optimization for an annular scramjet geometry3479308UNINA02538nam 2200709z- 450 991055779150332120220111(CKB)5400000000045473(oapen)https://directory.doabooks.org/handle/20.500.12854/77165(oapen)doab77165(EXLCZ)99540000000004547320202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMachine Learning/Deep Learning in Medical Image ProcessingBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (132 p.)3-0365-2664-1 3-0365-2665-X Many recent studies on medical image processing have involved the use of machine learning (ML) and deep learning (DL). This special issue, "Machine Learning/Deep Learning in Medical Image Processing", has been launched to provide an opportunity for researchers in the area of medical image processing to highlight recent developments made in their fields with ML/DL. Seven excellent papers that cover a wide variety of medical/clinical aspects are selected in this special issue.Technology: general issuesbicsscairway volume analysisanimal rat modelsartificial intelligenceCADxclassification modelscolon cancercolon polypscomputed tomographyconvolutional neural networkconvolutional neural networkscoronary artery diseasedata augmentationdeep learninghandcraftedmachine learningmedical image segmentationmicroscopicn/aneoplasm metastasisOCToptical biopsyoral carcinomaovarian neoplasmspancreasprostate carcinomaradiation exposuresegmentationSPECT MPI scanstomographytransfer learningx-ray computedTechnology: general issuesNishio Mizuhoedt1297577Nishio MizuhoothBOOK9910557791503321Machine Learning3024568UNINA