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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Fast Parameter Identification for Personalized Pharmacokinetics

    SBC: Autonomous Healthcare Inc            Topic: DHP17B003

    Drug dosingcan bemademore precise by using pharmacokineticand pharmacodynamicmodeling. Pharmacokinetics is thestudy of the concentration of drugs in tissueasafunction of timeand doseschedule,whereas pharmacodynamics is thestudy of therelationship between drugconcentration and drugeffect. By relating doseto resultant drugconcentration (pharmacokinetics)and concentration to effect (pharmacodynamics) ...

    STTR Phase I 2018 Department of DefenseDefense Health Program
  3. Handoff Training for Combat Casualty Care (HTC3) Framework

    SBC: Perceptronics Solutions, Inc.            Topic: DHA17B001

    This proposal is to develop a Handoff Training for Combat Casualty Care (HTC3) Framework.Training is the crux of the handoff problem today. Patient handoffs are a crucial part of casualty care, both in military and civilian environments; and today handoffs are being performed in less than optimal fashion, with ineffective communications accounting for 80% of the handoff errors. Our new HTC3 Framew ...

    STTR Phase I 2018 Department of DefenseDefense Health Program
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