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pro vyhledávání: '"HOWELL, MICHAEL"'
Autor:
Tsai, Peng-Hung, Berleant, Daniel, Segall, Richard S., Aboudja, Hyacinthe, Batthula, Venkata Jaipal R., Duggirala, Sheela, Howell, Michael
Publikováno v:
International Journal of Innovation and Technology Management (2023), 20(4):2330002
Quantitative technology forecasting uses quantitative methods to understand and project technological changes. It is a broad field encompassing many different techniques and has been applied to a vast range of technologies. A widely used approach in
Externí odkaz:
http://arxiv.org/abs/2401.02549
Autor:
Fan, Yangxin, Yu, Xuanji, Wieser, Raymond, Meakin, David, Shaton, Avishai, Jaubert, Jean-Nicolas, Flottemesch, Robert, Howell, Michael, Braid, Jennifer, Bruckman, Laura S., French, Roger, Wu, Yinghui
The integration of the global Photovoltaic (PV) market with real time data-loggers has enabled large scale PV data analytical pipelines for power forecasting and long-term reliability assessment of PV fleets. Nevertheless, the performance of PV data
Externí odkaz:
http://arxiv.org/abs/2302.10860
Publikováno v:
The Space Review (2019), Jan. 7, www.thespacereview.com/article/3632/1
Technologies have often been observed to improve exponentially over time. In practice this often means identifying a constant known as the doubling time, describing the time period over which the technology roughly doubles in some measure of performa
Externí odkaz:
http://arxiv.org/abs/2107.09637
Akademický článek
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Akademický článek
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Autor:
Howell, Michael J.
Recent empirical term structure literature questions the usefulness of the standard three-parameter yield curve model in the wake of the Global Financial Crisis and the widespread adoption of unconventional monetary policies, such as Large-scale Asse
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.731799
Autor:
Howell, Michael D., Kuo, Fiona I., Rumberger, Beth, Boarder, Erika, Sun, Kang, Butler, Kathleen, Harris, John E., Grimes, Pearl, Rosmarin, David
Publikováno v:
In JID Innovations November 2023 3(6)
Autor:
Fischer, Felix, Doll, Anais, Uereyener, Deniz, Roenneberg, Sophie, Hillig, Christina, Weber, Lucca, Hackert, Verena, Meinel, Martin, Farnoud, Ali, Seiringer, Peter, Thomas, Jenny, Anand, Philipp, Graner, Larissa, Schlenker, Franziska, Zengerle, Roland, Jonsson, Pontus, Jargosch, Manja, Theis, Fabian J., Schmidt-Weber, Carsten B., Biedermann, Tilo, Howell, Michael, Reich, Kristian, Eyerich, Kilian, Menden, Michael, Garzorz-Stark, Natalie, Lauffer, Felix, Eyerich, Stefanie
Publikováno v:
In Journal of Investigative Dermatology August 2023 143(8):1461-1469
Autor:
Hardt, Michaela, Rajkomar, Alvin, Flores, Gerardo, Dai, Andrew, Howell, Michael, Corrado, Greg, Cui, Claire, Hardt, Moritz
Much work aims to explain a model's prediction on a static input. We consider explanations in a temporal setting where a stateful dynamical model produces a sequence of risk estimates given an input at each time step. When the estimated risk increase
Externí odkaz:
http://arxiv.org/abs/1907.04911