Results 11 to 20 of about 10,895,381 (281)
A vector auto-regressive model for onshore and offshore wind synthesis incorporating meteorological model information [PDF]
, 2014 The growth of wind power production in the electricity portfolio is striving to meet ambitious targets set, for example by the EU, to reduce greenhouse gas emissions by 20% by 2020. Huge investments are now being made in new offshore wind farms around UK
D. Infield +7 more
core +5 more sources
A Generative Neuro-Symbolic AI for Protein Sequence Design. [PDF]
Adv Sci (Weinh)We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Defresne M +12 more
europepmc +2 more sources
Asymmetry tests for bifurcating auto-regressive processes with missing data [PDF]
Statistics & Probability Letters, 2012 We present symmetry tests for bifurcating autoregressive processes (BAR) when some data are missing. BAR processes typically model cell division data. Each cell can be of one of two types \emph{odd} or \emph{even}. The goal of this paper is to study the possible asymmetry between odd and even cells in a single observed lineage.
de Saporta, Benoîte +2 more
openaire +2 more sources
On Tail Dependence and Multifractality
Mathematics, 2020 We study whether, and if yes then how, a varying auto-correlation structure in different parts of distributions is reflected in the multifractal properties of a dynamic process.
Krenar Avdulaj, Ladislav Kristoufek
doaj +1 more source
Distributed closed-loop EO-STBC for a time-varying relay channel based on kalman tracking [PDF]
, 2012 This paper considers distributed closed-loop extended orthogonal space-time block coding (EO-STBC) for amplify-forward relaying over time-varying channels.
Weiss, Stephan +2 more
core +3 more sources
Variational Auto-Regressive Gaussian Processes for Continual Learning
CoRR, 2020 International Conference on Machine Learning (ICML ...
Sanyam Kapoor +2 more
openaire +3 more sources
One-Shot Bipedal Robot Dynamics Identification With a Reservoir-Based RNN
IEEE Access, 2023 The nonlinear inverted pendulum model of a lightweight bipedal robot is identified in real-time using a reservoir-based Recurrent Neural Network (RNN). The adaptation occurs online, while a disturbance force is repeatedly applied to the robot body.
Michele Folgheraiter +2 more
doaj +1 more source
Modeling Method of Human Motion Based on Dynamic Forest Model [PDF]
Jisuanji gongcheng, 2016 Aiming at the disadvantages that the existing modeling methods of human motion cannot be applied at the general nonlinear and non-Gaussian cases,based on the Markoff model,an improved modeling method of human motion is proposed.The Markov process of ...
SUN Li
doaj +1 more source
Effect of the COVID-19 pandemic on the number of deaths in Peru: 2017.03-2020.07
Semestre Economico, 2021 The objective of the research is to estimate the excess deaths during the COVID-19 epidemic in Peru. The methodology used for the ARMA models with structural with a structural change in mean. In the first place, the results show that the behavior of the
Rene-Paz Paredes
doaj +1 more source
Multi-Variate Auto-Regressive modelling
, 2021 Introduction to Multi-Variate Auto-Regressive modelling.N/
Williams
core +1 more source