B. B. Hicks

A simplified system to quantify storage of carbon dioxide, water vapor and heat within a maize canopy

Taqi Raza, B. B. Hicks, Joel N. Oetting, Neal S. Eash

The canopy storage of CO 2 , latent heat, and sensible heat within agricultural crops has not yet been fully examined, particularly on small farms situated in complex terrain. Reported canopy storage terms are consistently smaller than those found in forest ecosystems, …

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Re-thinking the Dry Deposition Multiple Resistance Framework

B. B. Hicks

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On soil effluxes of CO2 and their accumulation at night

B. B. Hicks, Joel N. Oetting, Neal S. Eash

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Automatic classification of radar and communication waveforms through interpretable deep learning

B. B. Hicks, Sabyasachi Biswas, John E. Ball, Ali Cafer Gürbüz

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Learnable Gaussian Filter-Based Automatic RF Waveform Modulation Recognition

B. B. Hicks, Sabyasachi Biswas, Ali Cafer Gürbüz

In this work, we propose an automatic modulation recognition (AMR) method leveraging complex-valued convolutional neural networks (CV-CNNs) with parameterized, learnable Gaussian filters. Traditional AMR techniques often require complex pre-processing and transformation stages, which are computationally expensive and hinder real-time applications. Our proposed …

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The Surface Heat Imbalance at Dawn: the 2018 Tennessee Maize Experiment

B. B. Hicks, Joel N. Oetting, Neal S. Eash

Automatic Waveform Recognition from Complex RF Data with Filter-based Deep Learning

B. B. Hicks, Sabyasachi Biswas, Ajaya Dahal, Víctor M. González et autres

Radar-based technologies have become ubiquitous in recent years, playing vital roles in many civilian and military applications, ranging from navigation to electronic warfare. With the widespread adoption of these technologies, several notable challenges have emerged, especially concerning spectrum congestion and the complicated …

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Accelerated Hough transform-based tree diameter extraction from LiDAR point cloud data

B. B. Hicks, Andrew Bonner, Leah Vaughn, David Saucier et autres

Detecting and localizing large obstacles, particularly trees in unpaved regions, holds significant importance in autonomy, navigation, and related fields. Equally crucial is the extraction of detailed physical information from sensor captures. Accurately estimating the physical parameters of trees, such as the tree …

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Dry Deposition: Sc−2/3 Revisited

B. B. Hicks

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On recursive partitioning to refine coordinate rotation in Eddy covariance applications

Joel N. Oetting, B. B. Hicks, Neal S. Eash

While the use of three-dimensional sonic anemometers for eddy covariance is well established, there remain questions about its deployment and consequent data analysis. Convention has largely accepted that coordinates must be rotated so that the corrected transverse and vertical mean velocities become …

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The Tennessee 2018 Maize Crop Study — the Early Morning Surface Energy Imbalance, and the Awakening of the Maize Canopy

B. B. Hicks, Joel N. Oetting, Neal S. Eash, Taqi Raza

On Soil Effluxes of Co2 and Their Accumulation at Night

B. B. Hicks, Joel N. Oetting, Neal S. Eash