Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chris Mattmann"'
Publikováno v:
IEEE Access, Vol 11, Pp 69486-69494 (2023)
Prediction of accurate wind speed is necessary for a variety of applications such as energy production, agriculture, climate modeling, and weather forecasting. Various satellites orbiting the earth measure the wind speed, which is particularly useful
Externí odkaz:
https://doaj.org/article/da2d39b836154d17aa3cc862ce6d9b8b
Autor:
Alexander Lavin, Ciarán M. Gilligan-Lee, Alessya Visnjic, Siddha Ganju, Dava Newman, Sujoy Ganguly, Danny Lange, Atílím Güneş Baydin, Amit Sharma, Adam Gibson, Stephan Zheng, Eric P. Xing, Chris Mattmann, James Parr, Yarin Gal
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-19 (2022)
The development of machine learning systems has to ensure their robustness and reliability. The authors introduce a framework that defines a principled process of machine learning system formation, from research to production, for various domains and
Externí odkaz:
https://doaj.org/article/5d44c96b0792477fb2fa35f35c38a58a
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0230114 (2020)
Nowcasting of precipitation is a difficult spatiotemporal task because of the non-uniform characterization of meteorological structures over time. Recently, convolutional LSTM has been shown to be successful in solving various complex spatiotemporal
Externí odkaz:
https://doaj.org/article/aad2b9e02d1e429592d8324e0ac9c8c0
Publikováno v:
Journal of Open Research Software, Vol 3, Iss 1, Pp e12-e12 (2015)
An important reason for making any software open source is to encourage code and other community contributions, resulting in more diverse developer communities coalescing around valuable software efforts. We believe the full picture of open developer
Externí odkaz:
https://doaj.org/article/5e5cfb79829e4effa4256b5571e3b82d
Autor:
Tim Allison, Wayne Burke, Dustin Graf, Chris Mattmann, Anastasija Mensikova, Mike Milano, Philip Southam, Ryan Stonebraker
Publikováno v:
2022 IEEE Security and Privacy Workshops (SPW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::270fd34d9deee744a786fdb62cf90198
https://doi.org/10.1109/spw54247.2022.9833875
https://doi.org/10.1109/spw54247.2022.9833875
Autor:
Chris Mattmann
Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library.Summary Updated with new code, new projects, and new chap
Autor:
Jukka L. Zitting, Chris Mattmann
SummaryTika in Action is a hands-on guide to content mining with Apache Tika. The book's many examples and case studies offer real-world experience from domains ranging from search engines to digital asset management and scientific data processing.Ab