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The fast continuous wavelet transformation (fCWT) for real-time,  high-quality, noise-resistant time–frequency analysis | Nature  Computational Science
The fast continuous wavelet transformation (fCWT) for real-time, high-quality, noise-resistant time–frequency analysis | Nature Computational Science

PDF) Time series analysis (I)
PDF) Time series analysis (I)

The Algorithm Design Manual: Skiena, Steven S S.: 9781849967204:  Amazon.com: Books
The Algorithm Design Manual: Skiena, Steven S S.: 9781849967204: Amazon.com: Books

Handbook of Discrete-Valued Time Series | Richard A. Davis, Scott H. H
Handbook of Discrete-Valued Time Series | Richard A. Davis, Scott H. H

Encyclopedia of Mathematics and its Applications
Encyclopedia of Mathematics and its Applications

Environmental sound classification using temporal-frequency attention based  convolutional neural network | Scientific Reports
Environmental sound classification using temporal-frequency attention based convolutional neural network | Scientific Reports

An open tool for creating battery-electric vehicle time series from  empirical data, emobpy | Scientific Data
An open tool for creating battery-electric vehicle time series from empirical data, emobpy | Scientific Data

Handbook of Discrete-Valued Time Series
Handbook of Discrete-Valued Time Series

Handbook of Discrete-Valued Time Series
Handbook of Discrete-Valued Time Series

Data - Wikipedia
Data - Wikipedia

J. Intell. | Free Full-Text | Levels of Emotional Awareness: Theory and  Measurement of a Socio-Emotional Skill
J. Intell. | Free Full-Text | Levels of Emotional Awareness: Theory and Measurement of a Socio-Emotional Skill

Mathematical Approach to Protein Sequence Comparison Based on  Physiochemical Properties | ACS Omega
Mathematical Approach to Protein Sequence Comparison Based on Physiochemical Properties | ACS Omega

Detecting and quantifying causal associations in large nonlinear time series  datasets | Science Advances
Detecting and quantifying causal associations in large nonlinear time series datasets | Science Advances

Comparing the performance of FA, DFA and DMA using different synthetic  long-range correlated time series | Scientific Reports
Comparing the performance of FA, DFA and DMA using different synthetic long-range correlated time series | Scientific Reports

Positional notation - Wikipedia
Positional notation - Wikipedia

Enabling assessment of distributive justice through models for climate  change planning: A review of recent advances and a research agenda - Jafino  - 2021 - WIREs Climate Change - Wiley Online Library
Enabling assessment of distributive justice through models for climate change planning: A review of recent advances and a research agenda - Jafino - 2021 - WIREs Climate Change - Wiley Online Library

Deep learning in optical metrology: a review | Light: Science & Applications
Deep learning in optical metrology: a review | Light: Science & Applications

Confidence interval - Wikipedia
Confidence interval - Wikipedia

Forecasting | Free Full-Text | On the Autoregressive Time Series Model  Using Real and Complex Analysis
Forecasting | Free Full-Text | On the Autoregressive Time Series Model Using Real and Complex Analysis

JZBG | Free Full-Text | Conducting Behavioural Research in the Zoo: A Guide  to Ten Important Methods, Concepts and Theories
JZBG | Free Full-Text | Conducting Behavioural Research in the Zoo: A Guide to Ten Important Methods, Concepts and Theories

The Road to Reality: A Complete Guide to the Laws of the Universe: Penrose,  Roger: 9780679776314: Amazon.com: Books
The Road to Reality: A Complete Guide to the Laws of the Universe: Penrose, Roger: 9780679776314: Amazon.com: Books

Amazon.com: An Introduction to Discrete-Valued Time Series: 0001119096960:  Weiss, Christian H.: Books
Amazon.com: An Introduction to Discrete-Valued Time Series: 0001119096960: Weiss, Christian H.: Books

ESD - Reconstructing coupled time series in climate systems using three  kinds of machine-learning methods
ESD - Reconstructing coupled time series in climate systems using three kinds of machine-learning methods

Education Sciences | Free Full-Text | Systematic Review and Annotated  Bibliography on Teaching in Higher Education Academies (HEAs) via Group  Learning to Adapt with COVID-19
Education Sciences | Free Full-Text | Systematic Review and Annotated Bibliography on Teaching in Higher Education Academies (HEAs) via Group Learning to Adapt with COVID-19

Visibility graph based temporal community detection with applications in  biological time series | Scientific Reports
Visibility graph based temporal community detection with applications in biological time series | Scientific Reports

Discriminating chaotic and stochastic time series using permutation entropy  and artificial neural networks | Scientific Reports
Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks | Scientific Reports

Econometrics | Free Full-Text | Using the SARIMA Model to Forecast the  Fourth Global Wave of Cumulative Deaths from COVID-19: Evidence from 12  Hard-Hit Big Countries
Econometrics | Free Full-Text | Using the SARIMA Model to Forecast the Fourth Global Wave of Cumulative Deaths from COVID-19: Evidence from 12 Hard-Hit Big Countries

ESSD - TimeSpec4LULC: a global multispectral time series database for  training LULC mapping models with machine learning
ESSD - TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning

Frontiers | Discrete- vs. Continuous-Time Modeling of Unequally Spaced  Experience Sampling Method Data
Frontiers | Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data

Handbook of Discrete-Valued Time Series
Handbook of Discrete-Valued Time Series