Sort
48,453 grants matching “machine learning”
INSPIRE: Not Unbiased: The Implications of Human-Algorithm Interaction on Training Data and Algorithm Performance
$829,222Olfa Nasraoui · University Of Louisville Research Foundation Inc · · FY2015 · CSE
Predictive Smoking Cessation Preclinical Battery
$829,176Daniela Brunner · Psychogenics, Inc. · R44 · FY2012 · DA
UCSC-Buck Inst. Genome Data Analysis Center for TCGA Research Network (GDAC)
$829,118David H Haussler · University Of California Santa Cruz · U24 · FY2010 · CA
Toward Diagnostics and Therapies of Molecular Subcategories of CAD
$828,928Johan M Bjorkegren · Icahn School Of Medicine At Mount Sinai · R01 · FY2015 · HL
Improving Safety and Trustworthiness in Data-Driven Decision Learning for Sepsis
$828,904Lu Tang · University Of Pittsburgh At Pittsburgh · R56 · FY2025 · LM
Collaborative Research: Explorations: Developing A Diverse STEM Workforce through Experiential Learning Opportunities and Immersive Internships
$828,579Misaki Takabayashi · University Of Hawaii · · FY2024 · TIP
Incorporating Learning Effects into Medical Device Active Safety Surveillance Methods
$828,534Michael E. Matheny · Vanderbilt University Medical Center · R01 · FY2020 · HL
eMERGE IV Northwest: A partnership to evaluate the use of genomic information in the health care of diverse participants
$828,364Gail Pairitz Jarvik · University Of Washington · U01 · FY2024 · HG
Altered metabolism and machine learning for pancreatic cancer early detection
$828,138Brian Matthew Wolpin · Dana-Farber Cancer Inst · U01 · FY2025 · CA
Harnessing Diverse BioInformatic Approaches to Repurpose Drugs for Alzheimers Disease
$828,046Mark W Albers · Massachusetts General Hospital · R01 · FY2018 · AG
Analytical Resources Core
$828,045Nathan A Vandergrift · Duke University · P01 · FY2017 · AI
Swift.ai: research and development of an integrated platform for machine-assisted research synthesis
$827,804Brian Howard · Sciome, Llc · R44 · FY2022 · ES
Multiple Aperture Grating Pattern Inscription Engine (MAGPIE) for ion-plasma etched large-area astronomical diffraction gratings
$827,593Hanshin Lee · University Of Texas At Austin · · FY2024 · MPS
THIS RESEARCH PROJECT AIMS TO FILL THE GAPS IN CONTEMPORARY SMART AGRICULTURE (SMARTAG) TECHNOLOGIES BY PROPOSING A FOG-ASSISTED FRAMEWORK, FOGAG, THAT INTEGRATES MULTI-LAYER SENSING AND REAL-TIME ANALYTICS OF A PLANT-SOIL SYSTEM TO HELP SOLVE THE COMPLEX BIOLOGICAL PUZZLE OF LINKING THE EFFECT AND INTERACTION OF TWO IMPORTANT CROP INPUTS, VIZ., WATER AND NITROGEN, AFFECTING CROP YIELD. FOGAG WILL ALSO HELP PROVIDE NEAR-REAL TIME DIAGNOSIS OF CROP STRESSES AND TRANSLATE THE DATA INTO USABLE AGRONOMIC DECISIONS NOT ONLY TO BOOST CROP PRODUCTIVITY BUT ALSO TO INCREASE OVERALL YIELD PER UNIT OF RESOURCE USED IN FARMING SYSTEMS.TO MEET THE PROJECT GOALS AND DEVELOP THE PROPOSED FOGAG FRAMEWORK, SCIENTIFIC INNOVATIONS IN CORE CYBER-PHYSICAL SYSTEMS (CPS) AREAS WILL BE MADE ON ARCHITECTURE, SENSING, DATA ANALYTICS AND MACHINE LEARNING, AND MODELING FRONTS. ON THE SYSTEM-LEVEL CPS ARCHITECTURE FRONT, THE PROPOSED FOGAG ARCHITECTURE ENABLES NEAR REAL-TIME HANDLING OF LATENCY-SENSITIVE EVENTS IN AGRICULTURE. ON THE DEVICE-LEVEL ARCHITECTURE, THE PROJECT PROPOSES NEURO-SENSE, WHICH WILL GREATLY SUPPORT REAL-TIME SIGNAL/IMAGE PROCESSING BY RECONFIGURATION OF DATA ACQUISITION, COMPUTATION, AND COMMUNICATION PARAMETERS TO ASSURE ENERGY-EFFICIENT PERFORMANCE FOR DYNAMICALLY CHANGING WORKLOADS. ON THE SENSING FRONT, THE PROJECT PROPOSES A SENSING AND IMAGING SYSTEM FOR IN-SOIL, ABOVE, BELOW, AND WITHIN PLANT CANOPY SENSING. THE PROPOSED LIGHT EMITTING DIODE (LED) BASED MULTISPECTRAL IMAGING SYSTEM WILL NOT ONLY BE ECONOMICAL BUT WILL ALSO PROVIDE CONSIDERABLE FLEXIBILITY BY ALLOWING DIFFERENT WAVELENGTHS TO BE USED OR SUBSTITUTED DEPENDING ON MEASUREMENT REQUIREMENTS AS OPPOSED TO USING FILTER-BASED METHODS COMMON IN MULTISPECTRAL SYSTEMS OR VERY EXPENSIVE HYPERSPECTRAL CAMERAS. THE PROPOSED NEAR-INFRARED (NIR) POINT MEASUREMENT SENSOR WILL NOT ONLY BE AN ORDER OF MAGNITUDE CHEAPER THAN A CONVENTIONAL DIODE ARRAY SPECTROMETER BUT WILL ALSO PROVIDE SEVERAL OPTIONS FOR INTERFACING AND CUSTOMIZABLE OPTICS. FOR IN-SOIL SENSING, A NOVEL FREQUENCY RESPONSE (FR)-BASED DIELECTRIC SENSOR AND A MOBILE WIRELESS SENSOR NETWORK ARE PROPOSED THAT CAN SIMULTANEOUSLY PROVIDE MORE ACCURATE AND REAL-TIME READINGS OF SOIL NUTRIENTS AND WATER CONTENT AS COMPARED TO OTHER COMMERCIALLY AVAILABLE SOIL SENSORS. ON THE DATA ANALYTICS AND MACHINE LEARNING FRONT, THE PROPOSED NEURO-SENSE INTEGRATES A CONVOLUTIONAL NEURAL NETWORK (CNN) ACCELERATOR THAT WILL PROVIDE A HIGHER THROUGHPUT, UTILIZATION, AREA, AND ENERGY EFFICIENCY AS COMPARED TO EXISTING CNN ACCELERATORS BY EXPOITING ADVANCES IN DEEP LEARNING ACCELERATION.THE PROPOSED THREE-TIER DATA ANALYTICS FOGAG FRAMEWORK WILL ENABLE PROCESSING OF SENSING DATA AT THREE LEVELS: INTERNET OF THINGS (IOT), FOG, AND CLOUD. ON THE MODELINGFRONT, TREE-BASED PREDICTIVE AGRONOMIC MODELS WILL BE DEVELOPED THAT WILL UTILIZE MULTI-LAYER SENSED DATA ALONG WITH HISTORICAL YIELD AND WEATHER DATA TO PROVIDE A VARIABLE-RATE FERTILIZER AND IRRIGATION PRESCR,IPTION MAP IN NEAR REAL-TIME TO BOOST PRODUCTIVITY AND YIELD PER UNIT OF RESOURCE USED IN THE FARMING SYSTEM.THE PROPOSED FOGAG FRAMEWORK WITH SPATIAL AND TEMPORAL SCALABILITY WILL FIND MANY APPLICATIONS IN RURAL AND URBAN DEVELOPMENT. THE PROPOSED TECHNOLOGIES WILL HELP IN EFFICIENT USAGE OF RESOURCES AND IMPROVEMENT IN CROP HEALTH, QUALITY, AND YIELD THUS CREATING SIGNIFICANT SOCIAL AND ECONOMIC BENEFITS IN FOOD SECURITY. THE JOINT CONSIDERATION OF WATER-NITROGEN COLIMITATIONS WILL HAVE POSITIVE ENVIRONMENTAL IMPACTS BY REDUCING THE NITROGEN FOOTPRINT AND ENVIRONMENTAL POLLUTION. THE INVESTIGATORS WILL INCORPORATE SIGNIFICANT RESEARCH RESULTS OBTAINED DURING THIS PROJECT INTO UNDERGRADUATE AND GRADUATE EDUCATION.
$827,534Florida Atlantic University · · FY2025 · National Institute of Food and Agriculture
Socioemotional processing in female offenders - Resubmission 01
$827,432Jean Decety · University Of Chicago · R01 · FY2016 · MH
Vascular Contributions to Cognitive Impairment after Adverse Pregnancy Outcomes: the nuMoM2b-Heart Health Study
$827,316Eliza C Miller · Columbia University Health Sciences · R01 · FY2021 · NS
Clinical
$827,124Bruce L Miller · University Of California, San Francisco · P01 · FY2025 · AG
Low-cost detection of dementia using electronic health records data: validation and testing of the eRADAR algorithm in a pragmatic, patient-centered trial.
$826,571Sascha Dublin · Kaiser Foundation Research Institute · R01 · FY2022 · AG
WU-SN-TMC Bio-Analysis Core
$826,486Feng Chen · Washington University · U54 · FY2023 · AG
Developing a Cancer Galaxy Computational Workbench to Meet Emerging Cancer Data Analysis Needs
$826,483Jeremy Goecks · H. Lee Moffitt Cancer Ctr & Res Inst · U24 · FY2025 · CA
A Preclinical Program for Targeting Mycobacterium tuberculosis KasA
$826,401Joel Stephen Freundlich · Rbhs-New Jersey Medical School · R01 · FY2021 · AI
Leveraging Electronic Health Records for Reducing Dementia Screening Disparities in Diverse Communities
$826,324Narges Razavian · New York University School Of Medicine · R01 · FY2024 · AG
Machine learning methods in data science for clinical prediction and characterization
$826,301Jeremy Weiss · National Library Of Medicine · ZIA · FY2025 · LM
Identification of brain metabolomic profiles associated with dementia
$826,190Jun Li · Brigham And Women'S Hospital · R01 · FY2025 · AG
Comparative Safety of Seizure Prophylaxis within the Medicare Program
$826,126Lidia Maria Veras Rocha De Moura · Massachusetts General Hospital · R01 · FY2024 · AG