Veg-W2TCN: A parallel hybrid forecasting framework for non-stationary time series using wavelet and temporal convolution network model

Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review

(2022) Aya Ferchichi et al.   Ecological Informatics

Detection of trend and seasonal changes in non-stationary remote sensing data: Case study of Tunisia vegetation dynamics

(2022) Manel Rhif et al.   Ecological Informatics

Multivariable Time Series Forecasting for Urban Water Demand Based on Temporal Convolutional Network Combining Random Forest Feature Selection and Discrete Wavelet Transform

(2022) Jun Guo et al.   WATER RESOURCES MANAGEMENT

Optimal selection of wavelet transform parameters for spatio-temporal analysis based on non-stationary NDVI MODIS time series in Mediterranean region

(2022) Manel Rhif et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Real-time prediction of spatial raster time series: a context-aware autonomous learning model

(2021) Monidipa Das   Journal of Real-Time Image Processing

Deep learning with long short-term memory neural networks combining wavelet transform and principal component analysis for daily urban water demand forecasting

(2021) Baigang Du et al.   EXPERT SYSTEMS WITH APPLICATIONS

An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth

(2021) Bashar Alhnaity et al.   INFORMATION SCIENCES

An introduction of a reward-based time-series forecasting model and its application in predicting the dynamic and complicated behavior of the Earth rotation (Delta-T values)

(2021) Alireza Hakimi et al.   APPLIED SOFT COMPUTING

Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks

(2021) Dan Li et al.   ENERGY

DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting

(2021) Keyhan Gavahi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Object oriented time series exploration: Applied to power consumption analysis of embedded systems

(2021) Kazimierz Krosman et al.   EXPERT SYSTEMS WITH APPLICATIONS

Principles and algorithms for forecasting groups of time series: Locality and globality

(2021) Pablo Montero-Manso et al.   INTERNATIONAL JOURNAL OF FORECASTING

Discrepancy-Based Theory and Algorithms for Forecasting Non-Stationary Time Series

(2020) Vitaly Kuznetsov et al.   ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE

Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station

(2020) Pradeep Hewage et al.   SOFT COMPUTING

Forecasting fire risk with machine learning and dynamic information derived from satellite vegetation index time-series

(2020) Yaron Michael et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Monitoring sustainable development by means of earth observation data and machine learning: a review

(2020) Bruno Ferreira et al.   Environmental Sciences Europe

Parallel deep prediction with covariance intersection fusion on non-stationary time series

(2020) Zhigang Shi et al.   KNOWLEDGE-BASED SYSTEMS

Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review

(2019) Manel Rhif et al.   Applied Sciences-Basel

Compound Autoregressive Network for Prediction of Multivariate Time Series

(2019) Yuting Bai et al.   COMPLEXITY

A novel deep learning method based on attention mechanism for bearing remaining useful life prediction

(2019) Yuanhang Chen et al.   APPLIED SOFT COMPUTING

Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series

(2019) Zeinab Hajiabotorabi et al.   EXPERT SYSTEMS WITH APPLICATIONS

NDVI time series stochastic models for the forecast of vegetation dynamics over desertification hotspots

(2019) Pedro R. Mutti et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An architecture for emergency event prediction using LSTM recurrent neural networks

(2018) Bitzel Cortez et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparative study of three satellite image time-series decomposition methods for vegetation change detection

(2018) Ali Ben Abbes et al.   European Journal of Remote Sensing

Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network

(2018) Zhenhong Du et al.   KNOWLEDGE-BASED SYSTEMS

Past and future global transformation of terrestrial ecosystems under climate change

(2018) Connor Nolan et al.   SCIENCE

Comparison of wavelet-based hybrid models for the estimation of daily reference evapotranspiration in different climates

(2018) Alireza Araghi et al.   Journal of Water and Climate Change

Parallel computing method of deep belief networks and its application to traffic flow prediction

(2018) Lu Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Multi-time-scale analysis of hydrological drought forecasting using support vector regression (SVR) and artificial neural networks (ANN)

(2016) Moslem Borji et al.   Arabian Journal of Geosciences

Modeling pollen time series using seasonal-trend decomposition procedure based on LOESS smoothing

(2016) Jesús Rojo et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

Noise Reduction and Gap Filling of fAPAR Time Series Using an Adapted Local Regression Filter

(2014) Álvaro Moreno et al.   Remote Sensing

Forecast of NDVI in coniferous areas using temporal ARIMA analysis and climatic data at a regional scale

(2011) A. Fernández-Manso et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING