Sort
48,453 grants matching “machine learning”
Unraveling the Genetic Programs Engaged in ASD Neurons Through Coupled Transcriptomic and Phenotypic Readouts
$761,381Samouil Farhi · Broad Institute, Inc. · R01 · FY2022 · MH
Multimodal Approaches to Neurobiology of Traumatic Dissociation
$761,347Milissa L Kaufman · Mclean Hospital · R01 · FY2024 · MH
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma
$761,344Pallavi Tiwari · University Of Wisconsin-Madison · R01 · FY2023 · CA
Advancing Drug Repositioning for Alzheimerâs Disease using Real-world Data
$761,335Yonghui Wu · University Of Florida · R56 · FY2022 · AG
Electronic Health Record Data and Predictive Analytic Methods for HF
$761,303Xiaowei Sherry Yan · California Pacific Med Ctr Res Institute · R56 · FY2018 · HL
Abnormalities in androgens and ovarian markers in reproductive-age racially and ethnically diverse women in a prospective longitudinal cohort
$761,272Catherine Kim · University Of Michigan At Ann Arbor · R56 · FY2023 · HL
I/UCRC: Phase I: Center for Advanced Electronics through Machine Learning (CAEML)
$761,200Maxim Raginsky · University Of Illinois At Urbana-Champaign · · FY2016 · CSE
The Integrated Stress Response in Human Islets During Early T1D
$761,167Raghavendra G Mirmira · University Of Chicago · U01 · FY2023 · DK
Antibiotics : Studies on the Biological Mechanisms of Antibiotics
$761,164Daniel E Kahne · Harvard University · R01 · FY2025 · AI
CSF, MRI, and PET biomarkers of neuroinflammation in Alzheimer's disease
$761,132William Tzu-Lung Hu · Emory University · R01 · FY2017 · AG
The Nature and Function of Genomic Imprinting in Monoaminergic Neurons
$761,009Chris Gregg · Utah State Higher Education System--University Of Utah · R01 · FY2025 · MH
Leveraging Ethnic Anotia-microtia Disparities for Discovery (LEADD) Study
$760,914Jeremy Schraw · Baylor College Of Medicine · R01 · FY2025 · MD
Multi-Omics for Maternal Health after Preeclampsia
$760,884Louise Chang Laurent · University Of California, San Diego · U01 · FY2025 · HG
Noninvasive Testing of Coronary Microvascular Reactivity Using High-resolution Free-breathing MRI
$760,832Behzad Sharif · Cedars-Sinai Medical Center · R01 · FY2021 · HL
Blood Base Bioenergetic Profiling: A Novel Approach for Identifying Alzheimer's Disease Risk and Pathology
$760,616Barbara J Nicklas · Wake Forest University Health Sciences · R01 · FY2019 · AG
Vascular Imaging Biomarker Relationships to Alzheimerâs disease (VIBRA)
$760,593Mohamad Habes · University Of Texas Hlth Science Center · R01 · FY2025 · AG
Multimodal Approaches to Neurobiology of Traumatic Dissociation
$760,581Milissa L Kaufman · Mclean Hospital · R01 · FY2020 · MH
Genetic Predictors, Transcriptomic Biomarkers, & Neurobiological Signatures of Resilience to Alzheimer's Disease
$760,528Stephen J Glatt · Upstate Medical University · R01 · FY2020 · AG
A New Approach to an Old Problem: Redesigning Latent Tuberculosis Screening and Treatment
$760,514Sara Tartof · Kaiser Foundation Research Institute · R01 · FY2024 · AI
Invasive decoding and stimulation of altered reward computations in depression
$760,473Ignacio Saez · Icahn School Of Medicine At Mount Sinai · R01 · FY2025 · MH
Rapid Tests for Recent Infection (RTRI) for Precision Public Health in Sub-Saharan Africa: Next-Generation Strategies Amid Changing HIV Epidemiology
$760,427Anna Bershteyn · New York University School Of Medicine · R01 · FY2024 · AI
Learning Depends on Knowledge: Using Interaction Designs and Machine Learning to Contrast the Testing and Worked Example Effects
$760,416Ken Koedinger · Carnegie Mellon University · · FY2018 · SBE
Integrative Metabolomics of Sarcoidosis Diagnosis and Progression
$760,374Shu-Yi Liao · National Jewish Health · R01 · FY2025 · HL
SMART ENERGY MANAGEMENT IS AT THE CORE OF FUTURE SMART CITIES, SINCE ENERGY PROFOUNDLY IMPACTS THE CITY'S LIVABLITY, WORKABILITY AND SUSTAINABILITY. KEY BUILDING BLOCKS FOR SMART ENERGY MANAGEMENT ARE INTELLIGENT RESIDENTIAL ENVIRONMENTS, GENERALLY TERMED SMART HOMES. THESE HOMES WILL INCLUDE A PLETHORA OF SMART IN- TERCONNECTED APPLIANCES, REALIZED THROUGH THE INTERNET OF THINGS PARADIGM, WHICH CAN IMPROVE RESIDENTIAL ENERGY EFFICIENCY BY MONITORING AND CONTROLLING THE ENERGY USAGE. CURRENT APPROACHES FOR AUTOMATIC ENERGY MANAGEMENT SYSTEMS HAVE PRIMARILY FOCUSED ON THE OBSERVATION AND PATTERN RECOGNITION OF PAST USER ACTIV- ITY WITHOUT UNDERSTANDING THE SOCIAL AND BEHAVIORAL FACTORS THAT INFLUENCE THESE PATTERNS (OR LACK THEREOF). IN ADDITION, CURRENT RESEARCH IN THE FIELD HAS FAILED TO EXAMINE THE PSYCHOLOGICAL FACTORS THAT IMPACT USER ACCEPTANCE OF SUCH SYSTEMS. HOWEVER, ENABLING AUTOMATIC ENERGY MANAGEMENT IMPLICITLY REQUIRES A LOSS OF CONTROL FOR THE USER, WHICH SHOULD NOT BE NEGLECTED. INDEED, THERE ARE A NUMBER OF PSYCHOLOGICAL PHENOM- ENA THAT MAY CAUSE USERS TO ENGAGE IN WASTEFUL ENERGY CONSUMPTION AND/OR TO DEVELOP NEGATIVE ATTITUDES THAT CAN ULTIMATELY LEAD TO ABANDONMENT AND AVOIDANCE OF SUCH SMART SYSTEMS.THIS PROPOSAL AIMS AT FILLING THIS GAP BY UNDERSTANDING AND MODELING THE SOCIAL AND BEHAVIORAL UNDERPINNINGS INVOLVED IN THE HUMAN INTERACTION WITH BOTH SMART APPLIANCES AND SMART ENERGY MANAGEMENT SYSTEMS. THESE MODELS WILL SERVE AS THE BASIS OF A COMPREHENSIVE FRAMEWORK FOR ENERGY MANAGEMENT OF SMART HOMES, WHICH SPECIFICALLY ADDRESSES THE PSYCHOLOGICAL DIMENSION OF USER BEHAVIOR. THE PROPOSAL AD- DRESSES THE CPS TARGET AREAS SMART & CONNECTED COMMUNITIES (S&CC) AND SCIENCE OF CYBER-PHYSICAL SYSTEMS, BY PROPOSING NEW MODELS AND DESIGN PRINCIPLES THAT UNIFY ENGINEERING AND SOCIAL BEHAVIORAL PERSPECTIVES OF ENERGY MANAGEMENT IN DYNAMIC RESIDENTIAL AND COMMUNITY ENVIRONMENTS.THIS SYNERGY PROPOSAL ADDRESSES SEVERAL CHALLENGES AT THE INTERSECTION OF MULTIPLE DISCIPLINES. FOR THIS REASON OUR TEAM INCLUDES INTERDISCIPLINARY RESEARCHERS WITH COMPLEMENTARY EXPERTISE IN SENSOR NETWORKS AND CYBER-PHYSICAL SYSTEMS, SOCIAL AND BEHAVIORAL SCIENCES, AND POWER/ENERGY ENGINEERING.THE PROPOSED RESEARCH HAS THE POTENTIAL TO TRANSFORM THE WAY IN WHICH ENERGY MAN- AGEMENT SYSTEMS ARE STUDIED AND DESIGNED WITHIN THE FIELDS OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING BY DEFINING AND INTEGRATING PREVIOUSLY UNEXAMINED SOCIAL BEHAVIORAL MODELS OF USER ACTIVITIES. BASED ON THESE MODELS, WE MAKE USE OF GRAPH THEORY TO DESIGN FORMAL USER MODELS THAT ENABLE ALGORITHM DESIGN AND OPTIMIZATION. IN ADDITION, WE PROPOSE MACHINE LEARNING TECHNIQUES TO CORRELATE SOCIAL BEHAVIORAL DIMEN- SIONS TO QUANTITATIVE METRICS OBSERVABLE BY SMART DEVICES AS WELL AS ALGORITHMS THAT USE THIS CORRELATION TO REFINE THE USER MODEL. THE FORMAL MODELS ARE USED TO DESIGN SOCIAL-BEHAVIORAL AWARE EFFICIENT ALGO- RITHMS FOR ENERGY OPTIMIZATION FOR INDIVIDUAL SMART HOMES, AS WELL AS FOR COMMUNITIES OF MULTIPLE HOMES IN A MICROGRID. OUR FINDINGS AND APPROACH WILL EXTEND TO OTHER CYBER-PHYSICAL-HUMAN SYSTEMS FOR WHICH UNDERSTANDING SOCIAL BEHAVIORAL FACTORS IS CRITICAL IN DESIGNING A SOCIALLY RESPONSIVE SYSTEM. FURTHER, OUR PROPOSAL EXAMINES KEY PSYCHOLOGICAL FACTORS RELATED TO AUTONOMY THAT FACILITATE OR HINDER USER ENGAGEMENT WITH ENERGY MANAGEMENT SYSTEMS. FINDINGS FROM THESE ASPECTS OF OUR PROPOSAL WILL EXTEND AND REFINE OUR KNOWLEDGE ON THE SOCIETAL IMPLICATIONS OF CYBER-PHYSICAL SYSTEMS THAT SEEK TO SHIFT TECHNOLOGICAL DECISION MAKING FROM A HUMAN USER TO A TECHNOLOGICAL CONTROL SYSTEM.THE PROPOSED RESEARCH INTEGRATES SOCIAL BEHAVIORAL ASPECTS THAT AFFECT THE USER PERCEPTION AND ACCEPTANCE OF SMART ENVIRONMENTS WITH OPTIMIZATION AND ALGORITHMIC TOOLS FOR ENERGY MAN- AGEMENT. THE RESULTS OF THIS PROPOSAL WILL PROVIDE FUNDAMENTAL KNOWLEDGE ON HOW TO DESIGN ENERGY MANAGEMENT SYSTEMS OF SMART CITIES CONSIDERING THE SOCIAL BEHAVIORAL CONSEQUENCES OF ENGINEERING DESIGN, THEREFORE EXPEDITING THE SUCCESS OF SMART TECHNOLOGIES AND IMPROVING THEIR IMPACT ON THE CITY'S LIVABLITY, WORKABILITY AND SUSTAINABILITY. THE TEAM WILL CREATE A COMPREHENSIVE PLAN FOR WIDE-SCALE DISSEMINATION AND ADOPTION OF THE DEVELOPED TECHNIQUES AND TOOLS. THE PIS WILL INTEGRATE THE NOVEL RESEARCH FINDINGS INTO VARIOUS COURSES WITHIN THEIR DEPARTMENTS, AND DEVELOP COURSES LISTED ACROSS THE DEPARTMENTS. A NUMBER OF STUDENTS INCLUDING FEMALES AND MINORITIES WILL DEVELOP INTERDISCIPLINARY KNOWLEDGE AND SKILLS IN WIRELESS NETWORKS, EMBEDDED SYSTEMS, SOCIAL SCIENCES, AND MICROGRID OPERATION.
$760,300University Of Missouri System · · FY2017 · National Institute of Food and Agriculture
Core Grant in Vision Research
$760,298David J Calkins · Vanderbilt University Medical Center · P30 · FY2022 · EY