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Researcher
- Andrzej Nycz
- Kuntal De
- Stephen M Killough
- Udaya C Kalluri
- Adam Siekmann
- Alex Walters
- Biruk A Feyissa
- Bryan Maldonado Puente
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- Hong Wang
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- Ryan Kerekes
- Sally Ghanem
- Vincent Paquit
- Vivek Sujan
- Xiaohan Yang

We present the design, assembly and demonstration of functionality for a new custom integrated robotics-based automated soil sampling technology as part of a larger vision for future edge computing- and AI- enabled bioenergy field monitoring and management technologies called

No readily available public data exists for vehicle class and weight information that covers the entire U.S. highway network. The Travel Monitoring Analysis System, managed by the Federal Highway Administration covers only less than 1% of the US highway network.

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Pairing hybrid neural network modeling techniques with artificial intelligence, or AI, controls has resulted in a unique hybrid system that creates a smart solution for traffic-signal timing.

Due to a genes unique nucleotide sequences acquired through horizontal gene transfer, the gene has a transcriptional repressor activity and innate enzymatic role.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.

The invention provides a gene and methods for maintaining meiotic chromosomal architecture

An innovative system for automating the surveillance and manipulation of plant tissues using advanced machine vision and robotic tools.