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Meerdink and Fick Present at WHISPERS 2019

October 15, 2019

Our labmates, Ron Fick and Susan Meerdink, recently presented at the 2019 IEEE WHISPERS conference in Amsterdam! The WHISPERS  conference is an international workshop focusing on advances in remote sensing with hyperspectral data.  Ron presented on his paper, titled “Temporal mapping of Hyperspectral Data”, while Susan demonstrated her work on “Developing spectral libraries using Multiple […]

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Zou Accepted to Biosystems Engineering

October 14, 2019

Congratulations to our labmate, Sheng Zou, and his collaborators: Y. Tseng, A. Zare, D. Rowland, B. Tillman and S. Yoon!  Their paper, “Peanut Maturity Classification using Hyperspectral Imagery”, was recently accepted to Biosystems Engineering.  This paper describes a method which can be used to estimate the maturity of individual peanut pods, without having to remove […]

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Peanut Maturity Classification using Hyperspectral Imagery

October 14, 2019

Abstract: Seed maturity in peanut ( Arachis hypogaea L.) determines economic return to a producer because of its impact on seed weight, and critically influences seed vigor and other quality characteristics. During seed development, the inner mesocarp layer of the pericarp (hull) transitions in color from white to black as the seed matures. The maturity […]

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Hybrid data-driven physics model-based framework for enhanced cyber-physical smart grid security

October 3, 2019

Abstract: This paper presents a hybrid data-driven physics model-based framework for real time monitoring in smart grids. As the power grid transitions to the use of smart grid technology, it’s real time monitoring becomes more vulnerable to cyber attacks like false data injections (FDI). Although smart grids cyber-physical security has an extensive scope, this paper […]

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Cross-site learning in deep learning RGB tree crown detection

October 3, 2019

Abstract: Tree detection is a fundamental task in remote sensing for forestry and ecosystem ecology applications. While many individual tree segmentation algorithms have been proposed, the development and testing of these algorithms is typically site specific, with few methods evaluated against data from multiple forest types simultaneously. This makes it difficult to determine the generalization […]

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Gran Wins Travel Award for Grace Hopper Celebration of Women in Computing!

September 30, 2019

Congratulations to our labmate, Deanna Gran, for winning a travel award to attend the Grace Hopper Celebration of Women in Computing! The Grace Hopper Celebration is the world’s largest gathering of women technologists. The event consists of a series of conferences designed around the research and career interests of women in technological roles. Deanna was […]

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Wilson and Marie Collins Graduate Fellowship

September 30, 2019

Congratulations to our labmates Dylan Stewart and Connor McCurley for being awarded the Wilson and Marie Collins Endowment for Graduate Fellowship!

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Congratualtions to Guohao Yu for a Successful Proposal Defense!

September 23, 2019

Congratulations to our labmate Guahao Yu for successfully defending his research proposal!  Defending an oral research proposal is the second of four milestones to completing a Ph.D. at the University of Florida.  Guohao is planning to advance image segmentation techniques using artificial neural networks trained with weak annotations.   We are excited to see where your […]

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Alina Zare Presents “Plant Root Analysis with Multiple Instance Learning”

September 13, 2019

Yesterday, Dr Alina Zare presented at the University of Florida Electrical and Computer Engineering (ECE) Department’s weekly seminar.  In her talk, titled “Plant Root Analysis with Multiple Instance Learning”, Alina stressed the importance of root analysis for understanding drought resistance, crop yield, greenhouse gas mitigation and more.  She also showed how the Machine Learning and […]

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Welcome New Master’s Student Trung Tran!

September 6, 2019

The Machine Learning and Sensing Lab is excited to welcome Trung Tran as a new Master’s student! Trung previously completed a BS in Electrical & Computer Engineering at the University of Florida in Gainesville. In our lab, Trung will be working on machine learning techniques for synthetic aperture sonar analysis. Welcome to the lab, Trung!

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