PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data

Separable Newton Recursive Estimation Method Through System Responses Based on Dynamically Discrete Measurements with Increasing Data Length

(2022) Ling Xu   INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

MSIS: Multispectral Instance Segmentation Method for Power Equipment

(2022) Jun Shu et al.   Computational Intelligence and Neuroscience

Water quality evolution mechanism modeling and health risk assessment based on stochastic hybrid dynamic systems

(2022) Zhiyao Zhao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Covert non-orthogonal multiple access communication assisted by multi-antenna jamming

(2022) Hongxing Peng et al.   Physical Communication

Decomposition strategy-based hierarchical least mean square algorithm for control systems from the impulse responses

(2021) Ling Xu et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

Abnormally high water temperature prediction using LSTM deep learning model

(2021) Hey-Min Choi et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

A deep bidirectional similarity learning model using dimensional reduction for multivariate time series clustering

(2021) Jinah Kim et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Potential of ARIMA-ANN, ARIMA-SVM, DT and CatBoost for Atmospheric PM2.5 Forecasting in Bangladesh

(2021) Shihab Ahmad Shahriar et al.   Atmosphere

Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy

(2021) Xue-Bo Jin et al.   Entropy

Air Pollution Prediction Using an Ensemble of Dynamic Transfer Models for Multivariate Time Series

(2021) Taewoon Kong et al.   Sustainability

Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

(2021) Xue-Bo Jin et al.   Energies

VAE-TALSTM: a temporal attention and variational autoencoder-based long short-term memory framework for dam displacement prediction

(2021) Xiaosong Shu et al.   ENGINEERING WITH COMPUTERS

Predictions and mitigation strategies of PM2.5 concentration in the Yangtze River Delta of China based on a novel nonlinear seasonal grey model

(2021) Weijie Zhou et al.   ENVIRONMENTAL POLLUTION

Unidirectional and Bidirectional LSTM Models for Short-Term Traffic Prediction

(2021) Rusul L. Abduljabbar et al.   JOURNAL OF ADVANCED TRANSPORTATION

An air quality forecasting model based on improved convnet and RNN

(2021) Baowei Wang et al.   Soft Computing

Appling an Improved Method Based on ARIMA Model to Predict the Short-Term Electricity Consumption Transmitted by the Internet of Things (IoT)

(2021) Ni Guo et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

A Novel Recursive Model Based on a Convolutional Long Short-Term Memory Neural Network for Air Pollution Prediction

(2021) Weilin Wang et al.   Remote Sensing

A Deep Learning Prediction Model for Structural Deformation Based on Temporal Convolutional Networks

(2021) Xianglong Luo et al.   Computational Intelligence and Neuroscience

Separable Multi-innovation Newton Iterative Modeling Algorithm for Multi-frequency Signals Based on the Sliding Measurement Window

(2021) Ling Xu   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture

(2021) Jianlei Kong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Novel Deep Learning Approach for Anomaly Detection of Time Series Data

(2021) Zhiwei Ji et al.   Scientific Programming

Deep-Learning Temporal Predictor via Bidirectional Self-Attentive Encoder–Decoder Framework for IOT-Based Environmental Sensing in Intelligent Greenhouse

(2021) Xue-Bo Jin et al.   Agriculture-Basel

Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models

(2021) Yihong Zhou et al.   APPLIED MATHEMATICS AND COMPUTATION

CNN-LSTM architecture for predictive indoor temperature modeling

(2021) Furkan Elmaz et al.   BUILDING AND ENVIRONMENT

Forecasting PM2.5 concentration using artificial neural network and its health effects in Ahvaz, Iran

(2021) Gholamreza Goudarzi et al.   CHEMOSPHERE

Optimal Adaptive Filtering Algorithm by Using the Fractional-Order Derivative

(2021) Xiao Zhang et al.   IEEE SIGNAL PROCESSING LETTERS

Hierarchical Estimation Approach for RBF-AR Models With Regression Weights Based on the Increasing Data Length

(2021) Yihong Zhou et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

Microbiological predictive modeling and risk analysis based on the one-step kinetic integrated Wiener process

(2021) Qian Chen et al.   Innovative Food Science & Emerging Technologies

Modified particle filtering‐based robust estimation for a networked control system corrupted by impulsive noise

(2021) Xuehai Wang et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models

(2021) Ali Agga et al.   RENEWABLE ENERGY

Deep-Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT-Based Intelligent Food Management Systems

(2021) Jianlei Kong et al.   Computational Intelligence and Neuroscience

Ultra-Short-Term Wind Power Prediction Based on Bidirectional Gated Recurrent Unit and Transfer Learning

(2021) Wenjin Chen et al.   Frontiers in Energy Research

A Recursive Parameter Estimation Algorithm for Modeling Signals with Multi-frequencies

(2020) Ling Xu et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Adaptive parameter estimation for a general dynamical system with unknown states

(2020) Xiao Zhang et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Hierarchical parameter and state estimation for bilinear systems

(2020) Xiao Zhang et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

Multivariate time series forecasting via attention-based encoder–decoder framework

(2020) Shengdong Du et al.   NEUROCOMPUTING

Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model

(2020) Xue-Bo Jin et al.   SENSORS

Deep Learning Predictor for Sustainable Precision Agriculture Based on Internet of Things System

(2020) Xue-Bo Jin et al.   Sustainability

Flow Synthesizer: Universal Audio Synthesizer Control with Normalizing Flows

(2020) Philippe Esling et al.   Applied Sciences-Basel

Deep Hybrid Model Based on EMD with Classification by Frequency Characteristics for Long-Term Air Quality Prediction

(2020) Xue-Bo Jin et al.   Mathematics

Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems

(2020) Ling Xu et al.   INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING

Research on water temperature prediction based on improved support vector regression

(2020) Quan Quan et al.   NEURAL COMPUTING & APPLICATIONS

Air Pollution Prediction Using Long Short-Term Memory (LSTM) and Deep Autoencoder (DAE) Models

(2020) Thanongsak Xayasouk et al.   Sustainability

Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises

(2020) Jian Pan et al.   IET Signal Processing

Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model

(2020) JoonHo Jang et al.   SENSORS

Airborne particle pollution predictive model using Gated Recurrent Unit (GRU) deep neural networks

(2020) Josue Becerra-Rico et al.   Earth Science Informatics

Markov-Based Time Series Modeling Framework for Traffic-Network State Prediction under Various External Conditions

(2020) Tao Li et al.   Journal of Transportation Engineering Part A-Systems

Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization

(2020) Xue-Bo Jin et al.   COMPLEXITY

Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems

(2020) Ling Xu et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Short-term traffic flow prediction based on 1DCNN-LSTM neural network structure

(2020) Yihuan Qiao et al.   MODERN PHYSICS LETTERS B

Explore spatio-temporal PM2.5 features in northern Taiwan using machine learning techniques

(2020) Fi-John Chang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An Autoencoder Gated Recurrent Unit for Remaining Useful Life Prediction

(2020) Yi-Wei Lu et al.   Processes

Prediction of Ocean Weather Based on Denoising AutoEncoder and Convolutional LSTM

(2020) Ki-Su Kim et al.   Journal of Marine Science and Engineering

Time Series Prediction with Artificial Neural Networks: An Analysis Using Brazilian Soybean Production

(2020) Emerson Rodolfo Abraham et al.   Agriculture-Basel

MoGlow

(2020) Gustav Eje Henter et al.   ACM TRANSACTIONS ON GRAPHICS

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

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

Gray-Box Parsimonious Subspace Identification of Hammerstein-Type Systems

(2020) Jie Hou et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory

(2019) Lijuan Wan et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Hierarchical Principle-Based Iterative Parameter Estimation Algorithm for Dual-Frequency Signals

(2019) Siyu Liu et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors

(2019) Xiao Zhang et al.   INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING

Partially-coupled least squares based iterative parameter estimation for multi-variable output-error-like autoregressive moving average systems

(2019) Hao Ma et al.   IET Control Theory and Applications

The innovation algorithms for multivariable state‐space models

(2019) Feng Ding et al.   INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING

Two-stage Gradient-based Iterative Estimation Methods for Controlled Autoregressive Systems Using the Measurement Data

(2019) Feng Ding et al.   INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

Integrated Predictor Based on Decomposition Mechanism for PM2.5 Long-Term Prediction

(2019) Xuebo Jin et al.   Applied Sciences-Basel

Recursive parameter estimation and its convergence for bilinear systems

(2019) Xiao Zhang et al.   IET Control Theory and Applications

Recursive parameter estimation methods and convergence analysis for a special class of nonlinear systems

(2019) Xiao Zhang et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

Multitask Air-Quality Prediction Based on LSTM-Autoencoder Model

(2019) Xinghan Xu et al.   IEEE Transactions on Cybernetics

Combined state and parameter estimation for a bilinear state space system with moving average noise

(2018) Xiao Zhang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Recursive parameter estimation algorithm for multivariate output-error systems

(2018) Yanjiao Wang et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Control Algorithms of Magnetic Suspension Systems Based on the Improved Double Exponential Reaching Law of Sliding Mode Control

(2018) Jian Pan et al.   INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

A novel spatiotemporal convolutional long short-term neural network for air pollution prediction

(2018) Congcong Wen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems

(2017) Jian Pan et al.   INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

Decomposition based least squares iterative identification algorithm for multivariate pseudo-linear ARMA systems using the data filtering

(2017) Feng Ding et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

An efficient hierarchical identification method for general dual-rate sampled-data systems

(2014) Yanjun Liu et al.   AUTOMATICA

Parameter estimation with scarce measurements

(2011) Feng Ding et al.   AUTOMATICA

Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems

(2010) Feng Ding et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Multiinnovation Least-Squares Identification for System Modeling

(2009) Feng Ding et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Parameter Identification and Intersample Output Estimation for Dual-Rate Systems

(2008) F. Ding et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS