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48,453 grants matching “machine learning”
SCH: INT: New Machine Learning Framework to Conduct Anesthesia Risk Stratification and Decision Support for Precision Health
$612,137Heng Huang · University Of Maryland, College Park · · FY2023 · CSE
Sensor Hardware and Intelligent Tools for Assessing the Health Effects of Heat Exposure
$612,116Vicki Stover Hertzberg · Emory University · R01 · FY2023 · ES
Multi-scale modeling of glioma for the prediction of treatment response, treatment monitoring and treatment allocation
$612,041Olivier Gevaert · Stanford University · R01 · FY2021 · CA
Computational Toolkit for Normalizing the Impact of CT Acquisition and Reconstruction on Quantitative Image Features
$611,968William Hsu · University Of California Los Angeles · R56 · FY2021 · EB
PED Screen: Pediatric Sepsis EHR Registry, Clinical Outcomes, and Predictive Model
$611,937Elizabeth Rachel Alpern · Northwestern University At Chicago · R01 · FY2020 · HD
High Performance Imaging for Assessment of Small Vessel Disease in Older Adults with Depression
$611,884Tamer S Ibrahim · University Of Pittsburgh At Pittsburgh · R01 · FY2020 · MH
Implications of metabolism on healthy aging in African and Caucasian Americans: the Health ABC study
$611,864Ravi Shah · Massachusetts General Hospital · R01 · FY2020 · AG
Characterizing mechanistic heterogeneity across ADHD and Autism
$611,788Damien A Fair · Oregon Health & Science University · R01 · FY2012 · MH
Guiding epilepsy surgery using network models and Stereo EEG
$611,730Brian Litt · University Of Pennsylvania · R01 · FY2024 · NS
Digital Pathology_Accuracy Viewing Behavior and Image Characterization
$611,703Linda Shapiro · University Of Washington · R01 · FY2017 · CA
Ultra-high spatial resolution photon-counting CT with multiple focal spots
$611,698Joseph Webster Stayman · Johns Hopkins University · R01 · FY2025 · EB
Bridging clinical trial and real-world data via machine learning to advance rheumatoid arthritis treatment strategies
$611,626Katherine Phoenix Liao · Brigham And Women'S Hospital · R01 · FY2025 · AR
Use of accelerometer and gyroscope data to improve precision of estimates of physical activity type and energy expenditure in free-living adults
$611,587Scott E Crouter · University Of Tennessee Knoxville · R01 · FY2024 · DK
CAREER: Data-driven computations to infer chemomechanical coupling from cryo-electron microscopy and support zero-cost online biophysics programs in high schools
$611,586Abhishek Singharoy · Arizona State University · · FY2020 · BIO
CC* Networking Infrastructure: Building a Scalable and Polymorphic Cyberinfrastructure for Diverse Research and Education Needs at Illinois State University
$611,586Yongning Tang · Board Of Trustees Of Illinois State University · · FY2024 · CSE
Novel video-based approaches for detection of autism risk in the first year of life
$611,542Sally Ozonoff · University Of California At Davis · R01 · FY2023 · MH
Impact of comorbidity of HIV infection and substance use disorder on brain aging and cognitive impairment
$611,534Yihong Yang · National Institute On Drug Abuse · ZIA · FY2025 · DA
CAREER: Learning and Leveraging the Structure of Large Graphs: Novel Theory and Algorithms
$611,527Gautam Dasarathy · Arizona State University · · FY2021 · CSE
South Texas Alzheimer's Disease Center Clinical Core
$611,526Gabriel Alejandro De Erausquin · University Of Texas Hlth Science Center · P30 · FY2022 · AG
South Texas Alzheimer's Disease Center Clinical Core
$611,526Anna Campbell Sullivan · University Of Texas Hlth Science Center · P30 · FY2025 · AG
South Texas Alzheimer's Disease Center Clinical Core
$611,526Gabriel Alejandro De Erausquin · University Of Texas Hlth Science Center · P30 · FY2023 · AG
South Texas Alzheimer's Disease Center Clinical Core
$611,526Gabriel Alejandro De Erausquin · University Of Texas Hlth Science Center · P30 · FY2024 · AG
Systematic Analysis of Morphogenesis, Commensalism, and Virulence in a Leading Human Fungal Pathogen
$611,446Leah Elizabeth Cowen · University Of Toronto · R01 · FY2025 · AI
Early Detection Of Renal Injury
$611,398Robert A Star · National Institute Of Diabetes And Digestive And Kidney Diseases · ZIA · FY2018 · DK
SPATIOTEMPORAL QUANTIFICATION OF SURFACE WATER AND FLOODING IS ESSENTIAL FOR RESEARCH ON HYDROLOGICAL CYCLES. SATELLITE REMOTE SENSING IS THE ONLY MEANS OF MONITORING THESE DYNAMICS ACROSS VAST AREAS AND OVER TIME. SEVERAL REGIONAL TO GLOBAL SURFACE WATER DATA SETS HAVE BEEN DEVELOPED USING OPTICAL TIME-SERIES EITHER FROM MODIS-TYPE SENSORS WITH COARSE SPATIAL RESOLUTION BUT DAILY FREQUENCY OR BASED ON THE ENTIRE LANDSAT ARCHIVE. DESPITE ITS HIGH SPATIAL RESOLUTION THE 16-DAY REPEAT FREQUENCY OF LANDSAT MEANS THAT SHORT LIVED HAZARDOUS FLOODING AND THE MAXIMUM EXTENT OF LARGE FLOODS ARE LIKELY MISSED. MEANWHILE SPATIALLY COARSER MODIS-TYPE SENSORS MAY MISS SMALL WATER BODIES AND FLOODS ENTIRELY. IN ADDITION TWO LIMITATIONS WHEN MAPPING INUNDATION WITH OPTICAL DATA HAVE BEEN DETECTING WATER UNDER VEGETATION AND CLOUD OBSCURATION WHICH OFTEN COINCIDES WITH FLOODS. BOTH ISSUES CAN BE OVERCOME BY FUSING MULTIPLE OPTICAL WITH SYNTHETIC APERTURE RADAR (SAR) DATA TAKING ADVANTAGE OF COMPLEMENTARY OBSERVATION PROPERTIES INCLUDING SAR S ABILITY TO PENETRATE THROUGH CLOUDS. THUS COMBINING OBSERVATIONS AND SPECTRAL PROPERTIES OF THE NEWLY AVAILABLE SENTINEL 1 SAR (S1) AND SENTINEL 2 (S2) SERIES OF SATELLITES WITH LANDSAT 8 (L8) HOLDS PROMISE FOR GLOBAL SURFACE WATER AND FLOOD MAPPING WITH IMPROVED SPATIAL AND TEMPORAL RESOLUTION AND ACCURACY. TO ACCURATELY CAPTURE MAXIMUM EXTENT OF ALL FLOODS IN NEAR REAL TIME THE KEY OBJECTIVES ARE TO (1) MAP FLOODING DYNAMICS GLOBALLY USING MACHINE LEARNING APPLIED TO TIME-SERIES OF MULTI-SENSOR OPTICAL (L8 S2) AND RADAR (S1) TIME SERIES DATA (2) ASSESS THE ACCURACY OF THE MAPPED FLOOD EXTENT AND (3) TEST THE ABILITY OF OUR ALGORITHMS TO MAP (A) EPHEMERAL FLOODS IN A DYNAMIC DRYLAND RIVER SYSTEM (B) A COMPLEX DELTA INCLUDING INUNDATED VEGETATION IN WESTERN CANADA (LEVERAGING FIELD VALIDATION DATA ON EXTENT OF INUNDATED VEGETATION COLLECTED DURING NASA S ARCTIC BOREAL VULNERABILITY EXPERIMENT) (C) EXTREME FLOODING IN NORTH CAROLINA (DURING HURRICANES IN 2016 2018 AND 2019) AND (D) SMALL WATER BODIES (< 5HA) IN IRRIGATED AREAS (I.E. ARKANSAS THE U.S. STATE WITH THE 3RD LARGEST IRRIGATED AREA WHERE HUNDREDS OF SMALL RESERVOIRS HAVE BEEN CONSTRUCTED SINCE THIS PROPOSAL IS SIGNIFICANT TO THIS NASA SOLICITATION AS IT WILL ENABLE IMPROVED QUANTIFICATION OF FLOOD EXTENT DYNAMICS AND WATER QUANTITY. THE ALGORITHMS AND MAPS PRODUCED CAN BE USED FOR BETTER MAPPING OF FLOODS DURING HAZARDOUS CONDITIONS AND ASSESSMENT OF HOW CHANGES IN LAND COVER AND LAND USE AND CLIMATE IMPACT SURFACE WATER AND FLOOD DYNAMICS.2015).
$611,393North Carolina State University · · FY2021 · National Aeronautics and Space Administration