Publications (13)
ShearFuse-UNet: Hadamard, DCT, and Shearlet Transform Fusion for Next-Day Wildfire Spread Prediction
Ene Meco, Yingyi Luo, Emadeldeen Hamdan +2
We propose ShearFuse-UNet, a lightweight and computationally efficient deep learning model for next-day wildfire spread prediction from multi-modal satellite data. The model integr…
Confidence Intervals on Multivariate Normal Quantiles for Environmental Specification Development in Multi-axis Shock and Vibration Testing
Adam Watts, Thomas Thompson, Dustin Harvey
This article describes two Monte Carlo methods for calculating confidence intervals on cumulative density function (CDF) based multivariate normal quantiles that allows for control…
Bayesian inversion of GPR waveforms for sub-surface material characterization: an uncertainty-aware retrieval of soil moisture and overlaying biomass properties
Ishfaq Aziz, Elahe Soltanaghai, Adam Watts +1
Accurate estimation of sub-surface properties such as moisture content and depth of soil and vegetation layers is crucial for applications spanning sub-surface condition monitoring…
Inverse Reconstruction of Shock Time Series from Shock Response Spectrum Curves using Machine Learning
Adam Watts, Andrew Jeon, Destry Newton +1
The shock response spectrum (SRS) is widely used to characterize the response of single-degree-of-freedom (SDOF) systems to transient accelerations. Because the mapping from accele…
VERTICO IV: Environmental Effects on the Gas Distribution and Star Formation Efficiency of Virgo Cluster Spirals
Vicente Villanueva, Alberto D. Bolatto, Stuart Vogel +18
We measure the molecular-to-atomic gas ratio, , and the star formation rate (SFR) per unit molecular gas mass, SFE, in 38 nearby galaxies selected from the…
Sub-Meter Remote Sensing of Soil Moisture Using Portable L-band Microwave Radiometer
Runze Zhang, Abhi Nayak, Derek Houtz +3
Spaceborne microwave passive soil moisture products are known for their accuracy but are often limited by coarse spatial resolutions. This limits their ability to capture finer soi…
The impact of ram pressure on the radio spectral index and magnetic field of NGC 4522: A high-resolution VLA continuum study
Woorak Choi, Aeree Chung, Chang-Goo Kim +8
We present high-resolution Very Large Array (VLA) continuum observations at S-band ( GHz, pc scale) and X-band ( GHz, pc scale) of the ram-pressure-stripped Virg…
Concepts Rookie Book
Dennis Barak, Beau F. Harrison, Adam Watts
This book begins with the basic accelerator knowledge required to understand the latter chapters. This is followed by topics from Fermilab accelerator specifics to general accelera…
Joint Soil and Above-Ground Biomass Characterization Using Radars
Luke Jacobs, Mohamad Alipour, Adam Watts +1
Soil moisture sensing through biomass or vegetation canopy has challenged researchers, even those who use SAR sensors with penetration capabilities. This is mainly due to the impos…
U-Net with Hadamard Transform and DCT Latent Spaces for Next-day Wildfire Spread Prediction
Yingyi Luo, Shuaiang Rong, Adam Watts +1
We developed a lightweight and computationally efficient tool for next-day wildfire spread prediction using multimodal satellite data as input. The deep learning model, which we ca…
FUELVISION: A Multimodal Data Fusion and Multimodel Ensemble Algorithm for Wildfire Fuels Mapping
Riyaaz Uddien Shaik, Mohamad Alipour, Eric Rowell +3
Accurate assessment of fuel conditions is a prerequisite for fire ignition and behavior prediction, and risk management. The method proposed herein leverages diverse data sources i…
Dual-Frequency Radar Wave-Inversion for Sub-Surface Material Characterization
Ishfaq Aziz, Elahe Soltanaghai, Adam Watts +1
Moisture estimation of sub-surface soil and the overlaying biomass layer is pivotal in precision agriculture and wildfire risk assessment. However, the characterization of layered…
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri Boroujeni, Abolfazl Razi, Sahand Khoshdel +7
Wildfires have emerged as one of the most destructive natural disasters worldwide, causing catastrophic losses in both human lives and forest wildlife. Recently, the use of Artific…