Zobrazeno 1 - 10
of 1 456
pro vyhledávání: '"Rizzo, A. M."'
The surge in real-time data collection across various industries has underscored the need for advanced anomaly detection in both univariate and multivariate time series data. This paper introduces TransNAS-TSAD, a framework that synergizes the transf
Externí odkaz:
http://arxiv.org/abs/2311.18061
This paper presents an automated machine learning framework designed to assist hydrologists in detecting anomalies in time series data generated by sensors in a research watershed in the northeastern United States critical zone. The framework specifi
Externí odkaz:
http://arxiv.org/abs/2309.07992
There is an increasing demand for scalable algorithms capable of clustering and analyzing large time series datasets. The Kohonen self-organizing map (SOM) is a type of unsupervised artificial neural network for visualizing and clustering complex dat
Externí odkaz:
http://arxiv.org/abs/2108.11523
Publikováno v:
In Machine Learning with Applications June 2024 16
Autor:
Lienhart, Peyton H., Rohra, Venus, Clement, Courtney, Toppen, Lucinda C., DeCola, Amy C., Rizzo, Donna M., Scarborough, Matthew J.
Publikováno v:
In Science of the Total Environment 15 May 2024 925
The role of living labs in cultivating inclusive and responsible innovation in precision agriculture
Autor:
Gardezi, Maaz, Abuayyash, Halimeh, Adler, Paul R., Alvez, Juan P., Anjum, Rubaina, Badireddy, Appala Raju, Brugler, Skye, Carcamo, Pablo, Clay, David, Dadkhah, Ali, Emery, Mary, Faulkner, Joshua W., Joshi, Bhavna, Joshi, Deepak R., Khan, Awais Hameed, Koliba, Christopher, Kumari, Sheetal, McMaine, John, Merrill, Scott, Mitra, Shreya, Musayev, Sardorbek, Oikonomou, Panagiotis D., Pinder, George, Prutzer, Edward, Rathore, Jitender, Ricketts, Taylor, Rizzo, Donna M., Ryan, Benjamin E.K., Sahraei, Maryam, Schroth, Andrew W., Turnbull, Scott, Zia, Asim
Publikováno v:
In Agricultural Systems April 2024 216
Autor:
DeCola, Amy C., Toppen, Lucinda C., Brown, Kennedy P., Dadkhah, Ali, Rizzo, Donna M., Ziels, Ryan M., Scarborough, Matthew J.
Publikováno v:
In Bioresource Technology February 2024 394
Exergy, or availability, is a thermodynamic concept representing the useful work that can be extracted from a system evolving from a given state to a reference state. It is also a system metric, formulated from the first and the second law of thermod
Externí odkaz:
http://arxiv.org/abs/2103.08145
Conversation has been a primary means for the exchange of information since ancient times. Understanding patterns of information flow in conversations is a critical step in assessing and improving communication quality. In this paper, we describe COn
Externí odkaz:
http://arxiv.org/abs/2010.05164
Publikováno v:
Machine Learning with Applications, 1:100001, 2020
This paper presents the first time series clustering benchmark utilizing all time series datasets currently available in the University of California Riverside (UCR) archive -- the state of the art repository of time series data. Specifically, the be
Externí odkaz:
http://arxiv.org/abs/2004.09546