Sort
48,453 grants matching “machine learning”
Collaborative Research: Creating Dynamic Social Network Models from Sensor Data
$594,955Jeffrey A Bilmes · University Of Washington · · FY2004 · CSE
Aerosol delivery of combinational therapeutics targeting deadly lung infections
$594,930Qi Zhou · Purdue University · R01 · FY2025 · HL
Development and clinical validation of domain-aware anthropomorphic model observers for task-based image quality assessment
$594,891Jovan G Brankov · Illinois Institute Of Technology · R01 · FY2025 · EB
CAREER: Security Foundations of Safe Learning Enabled Cyber-Physical Systems
$594,777Fanxin Kong · University Of Notre Dame · · FY2025 · CSE
HCC: Collaborative Research: Affective Learning Companions: Modeling and supporting emotion during learning
$594,700Beverly P Woolf · University Of Massachusetts Amherst · · FY2007 · CSE
Multi-modal machine learning to guide adjuvant therapy in surgically resectable colorectal cancer
$594,649Jeanne Shen · Stanford University · R01 · FY2024 · CA
CAREER: Harnessing the data revolution for predicting and managing ecosystem regime shifts
$594,639Carl Boettiger · University Of California-Berkeley · · FY2020 · BIO
Extrapolative Analyses for Reliable Machine Learning Driven Scientific Discovery
$594,633Junier B Oliva · University Of North Carolina At Chapel Hill · · FY2023 · MPS
Genome Wide Association Study of Head and Neck Cancer
$594,620Sanjay Shete · University Of Tx Md Anderson Can Ctr · R01 · FY2011 · CA
1. OBJECTIVE AND SCIENCE GOALS THE OBJECTIVE OF THIS PROPOSAL IS TO INVESTIGATE THE ORIGIN OF MAJOR ACTIVITY IN SOLAR ACTIVE REGIONS (ARS). ARS THAT EXHIBIT COMPACT POLARITY INVERSION LINES (PILS) ARE KNOWN TO BE VERY FLARE-PRODUCTIVE. HOWEVER THE PHYSICAL MECHANISMS BEHIND THIS STATISTICAL INFERENCE HAVE NOT BEEN DEMONSTRATED CONCLUSIVELY. OUR PRELIMINARY WORK ON THE SUBJECT (CHINTZOGLOU ET AL 2018; UNDER REVIEW) HAS SHOWN THAT SUCH PILS CAN OCCUR DUE TO THE COLLISION BETWEEN TWO EMERGING FLUX TUBES WITHIN THE SAME AR (COLLISIONAL-PIL; CPIL). THE PROPOSED WORK WILL DETERMINE AND QUANTIFY THE DOMINANT MECHANISMS RESPONSIBLE FOR MAJOR ACTIVITY AT CPILS BY ANSWERING THE FOLLOWING MAJOR SCIENCE QUESTIONS: (Q1) WHICH ARE THE MECHANISMS RESPONSIBLE FOR MAJOR ERUPTIVE AND CONFINED FLARES IN SEVERAL GENERIC BUT REALISTIC MAGNETIC CONFIGURATIONS (USING SIMULATIONS INSPIRED FROM REAL OBSERVATIONS)? (Q2) WHICH MECHANISM(S) LEAD TO THE PRECURSOR PHASE OBSERVED BEFORE ERUPTING FLARES? (Q3) WHAT IS THE IMPACT OF THE 180 AMBIGUITY RESOLUTION IN RECOVERING MFR SIGNATURES IN SYNTHETIC MAGNETOGRAMS? 2. RELEVANCE THE PROPOSAL IS HIGHLY RELEVANT TO ONE HELIOPHYSICS DECADAL SURVEY SOLAR AND SPACE SCIENCE GOAL: DETERMINE THE ORIGINS OF THE SUN S ACTIVITY AND PREDICT THE VARIATIONS IN THE SPACE ENVIRONMENT. 3. METHODOLOGY REALISTIC MHD SIMULATIONS PLAY A CENTRAL ROLE IN INTERPRETING OBSERVATIONS AND UNDERSTATING PHYSICAL PROCESSES IN THE CORONA. IN THIS CONTEXT REALISM IS A COMPROMISE BETWEEN REALISTIC PHYSICS AND REALISTIC SETUPS. SIMULATIONS NEED TO INCLUDE A SUFFICIENT AMOUNT OF PHYSICS TO ALLOW FOR THE DIRECT COMPARISON WITH OBSERVATIONS THROUGH FORWARD MODELING OF SYNTHETIC OBSERVABLES. AT THE SAME TIME SIMULATIONS NEED TO CAPTURE REALISTIC SETUPS IN TERMS OF THE LENGTH AND TIME-SCALES OF SOLAR ACTIVE REGION EVOLUTION WHICH REQUIRES COMPROMISES IN THE PHYSICS THAT ARE CAPTURED. FOR THE SCIENCE QUESTIONS ADDRESSED IN THE PROPOSAL THE BEST COMPROMISE ALONG THESE LINES IS GIVEN BY RADIATIVE MHD SIMULATIONS WITH CORONAL PHYSICS IN TERMS OF OPTICALLY-THIN RADIATIVE LOSS AND MAGNETIC FIELD ALIGNED HEAT CONDUCTION. SUCH MODELS CAPTURE THE DETAILS OF PHOTOSPHERIC AND SUB-PHOTOSPHERIC FLUX EMERGENCE AND COUPLE THAT DYNAMICALLY TO THE EVOLUTION OF THE OVERLYING CORONA. A DIRECT COMPARISON WITH OBSERVATIONS IN TERMS OF PHOTOSPHERIC VECTOR MAGNETOGRAMS (SDO/ HMI) AND THERMAL EMISSION FROM THE CORONA (SDO/AIA) CAN BE ACCOMPLISHED WITHIN THIS FRAMEWORK. WE FOCUS ON DATA-INSPIRED SETUPS IN WHICH WE USE A COMBINATION OF (A) THE INITIAL STATE PRE-EXISTING FLUX (B) NEW FLUX EMERGENCE AND (C) FOOTPOINT MOTIONS OF SPOTS TO MIMIC TO OBSERVED BEHAVIOR FROM A LIST OF WELL-OBSERVED SUPER-ACTIVE ARS. THE MURAM CODE HAS A FLEXIBLE BOTTOM BOUNDARY CONDITION THAT ALLOWS TO SPECIFY THE LOCATION OF FLUX EMERGENCE TOGETHER WITH PROPERTIES SUCH AS STRENGTH EXTENT AND TWIST NECESSARY FOR THE FORMATION OF COLLISIONAL PILS. THE PRODUCTION OF REALISTIC SIMULATIONS OF ARS WILL PERMIT THE IDENTIFICATION OF THE ERUPTION MECHANISMS IN CPILS FROM DIFFERENT CONFIGURATIONS WILL ELUCIDATE THE PHYSICS BEHIND THE SO-CALLED PRECURSOR PHASE IN CPILS BY STUDYING THE EVOLUTION BEFORE ERUPTIONS AND WILL ALLOW THE DEVELOPMENT OF A NOVEL MACHINE-LEARNING APPROACH (TRAINED FROM ENSEMBLE DERIVED FROM THE SIMULATED CASES) TO CORRECT FOR THE 180 AMBIGUITY IN MAGNETOGRAM OBSERVATIONS
$594,545University Corporation For Atmospheric Research · · FY2020 · National Aeronautics and Space Administration
SOUND SPEED PROFILE DETERMINATION USING A LARGE DATABASE OF UNDERWATER RECORDINGS OF VESSEL TRAFFIC WITH MACHINE LEARNING
$594,538University Of California San Diego · · FY2019 · Department of the Navy
A unified probabilistic model and software implementation for analysis of nascent RNA sequencing data
$594,501Adam Charles Siepel · Cold Spring Harbor Laboratory · R01 · FY2024 · HG
Project 4: Risk stratification for pulmonary nodules detected by CT imaging using plasma and imaging biomarkers
$594,498Paul D Lampe · Fred Hutchinson Cancer Research Center · P50 · FY2020 · CA
Mapping the cell specific DNA damage-induced molecular and bioelectrical responses in the 3D cardiac unit
$594,434Tzahi Cohen-Karni · Carnegie-Mellon University · R01 · FY2024 · HL
Diagnosing the undiagnosable: studies of Alzheimer disease mimics and confounders via "neuropathometry" of dissection photos with 3D scanning
$594,429Juan Eugenio Iglesias Gonzalez · Massachusetts General Hospital · R01 · FY2022 · AG
Reconnection Onset in Overstretched Magnetotail Current Sheets
$594,429Mikhail Sitnov · Johns Hopkins University · · FY2024 · GEO
Collaborative Research in Integrative Cancer Biology
$594,425Robert R. Clarke · Georgetown University · U01 · FY2014 · CA
Quantitative Language and Facial Expression Phenotyping of Chronic Pain
$594,391Paul Geha · University Of Rochester · R01 · FY2023 · AR
Multi-modal functional health assessment and intervention for individuals experiencing cognitive decline
$594,391Diane Joyce Cook · Washington State University · R01 · FY2024 · AG
Imaging genetics of laryngeal dystonia
$594,364Kristina Simonyan · Massachusetts Eye And Ear Infirmary · R01 · FY2025 · DC
Imaging genetics of laryngeal dystonia
$594,364Kristina Simonyan · Massachusetts Eye And Ear Infirmary · R01 · FY2023 · DC
Predicting ASD and Other Developmental Outcomes in the First Year of Life Using EEG in a Diverse Community-Based Sample
$594,360Charles Alexander Nelson · Boston Children'S Hospital · R01 · FY2025 · NS
CAREER: Machine Learning for Data-Driven Fault-Tolerant Control of Complex Systems
$594,314Yuncheng Du · Clarkson University · · FY2022 · ENG
Technology Improving Success of Medication-Assisted Treatment in Primary Care
$594,298Steven Paul Jenkins · Q2i, Llc · R42 · FY2021 · DA
Functional Networks of White Matter in Alzheimer's Disease and their Associations with Cognitive Decline
$594,285Bharat Biswal · New Jersey Institute Of Technology · R01 · FY2025 · AG