Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...
Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced ...
Abstract: The stability of multi-robot flocking is closely related to the control model and the quality of wireless communications. In this study, we delve into the discrete-time flocking control ...
Abstract: The growing penetration of distributed photovoltaic (PV) poses new challenges, such as voltage security and output uncertainty, in distribution networks. The efficient and secure integration ...
We introduce a novel generative model: Discrete Distribution Networks (DDN). DDN employs a simple yet unique approach to model the target distribution, distinctly different from mainstream generative ...
2023 TGRS Attenuation of Seismic Random Noise With Unknown Distribution: A Gaussianization Framework
This repo contains the official implementation for the paper Attenuation of Seismic Random Noise With Unknown Distribution:A Gaussianization Framework by Chuangji Meng, Jinghuai Gao∗, Yajun Tian, ...
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