Abstract: This paper proposes a modified empirical-mode decomposition (EMD) filtering-based adaptive dynamic phasor estimation algorithm for the removal of exponentially ... EMD is a fully data-driven ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

the empirical model developed by Dubois et al. in 1995 proves to be a good choice, because of its accuracy and simplicity of implementation. The model provides quite good results for the estimation in ...

Contributed by Calyampudi Radhakrishna Rao, November 13, 2019 (sent for review October 14, 2019; reviewed by Ching-Kang Ing and Runze Li) ...

CW3E provides water cycle science, technology and outreach to support effective policies and practices that address the impacts of extreme weather and water events on the environment, people and the ...

We have rolled our model for Generali to incorporate the latest ... The bottom line: We raise our fair value estimate to EUR 30 and maintain no moat rating. At current levels, we consider shares ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

Diop, M. and Traore, A. (2025) Monetary Policy Neutrality in WAEMU Countries: A SVAR Model. Modern Economy, 16, 756-772. doi: ...