Award Data

The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...

TECHNICAL ABSTRACT: The objective of this project is to research the technical feasibility of designing a software tool “Permit Wizard” that will automate the process for aquamarine permit application submittal, review, approval/disapproval and issue (including collection of fees). Aquaculture producers are currently faced with slow, complex, and often confusing permitting processes that must ...

This Phase I proposal determines the feasibility of growing multiple species of macroalgae in commercial marine aquafarm environments. Marine aquaculture is a logical outgrowth of successful wild harvest seaweed businesses over the last several years. Developing a marine aquaculture prototype will foster the science of sea farming. Extending growing seasons for multi-species would provide year ...