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

International Journal of Control, 2020, Automation, and Systems, 18(4), , pp.886-896

2020

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CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

Sensors (Basel, Switzerland), 2019-03, Vol.19 (5), p.1058

2019

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Partially-coupled gradient-based iterative algorithms for multivariable output-error-like systems with autoregressive moving average noises

IET control theory & applications, 2020-11, Vol.14 (17), p.2613-2627

2020

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A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting

Entropy (Basel, Switzerland), 2022-02, Vol.24 (3), p.335

2022

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

Mathematics (Basel), 2022-02, Vol.10 (4), p.610

2022

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A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model

Sensors (Basel, Switzerland), 2020-01, Vol.20 (1), p.299

2020

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

Energies (Basel), 2021-03, Vol.14 (6), p.1596

2021

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The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods

Sensors (Basel, Switzerland), 2021-03, Vol.21 (6), p.2085

2021

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Joint Multi-innovation Recursive Extended Least Squares Parameter and State Estimation for a Class of State-space Systems

International journal of control, automation, and systems, 2020-06, Vol.18 (6), p.1412-1424

2020

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Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction

Entropy (Basel, Switzerland), 2023-01, Vol.25 (2), p.247

2023

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

Agriculture (Basel), 2021-08, Vol.11 (8), p.802

2021

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

Sensors (Basel, Switzerland), 2020-02, Vol.20 (5), p.1334

2020

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Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System

Sensors (Basel, Switzerland), 2023-10, Vol.23 (20), p.8650

2023

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Advances in Multi-Sensor Information Fusion: Theory and Applications 2017

Sensors (Basel, Switzerland), 2018-04, Vol.18 (4), p.1162

2018

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

Sustainability, 2020-02, Vol.12 (4), p.1433

2020

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Multi-Channel Fusion Classification Method Based on Time-Series Data

Sensors (Basel, Switzerland), 2021-06, Vol.21 (13), p.4391

2021

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Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model

Journal of computational and applied mathematics, 2020-05, Vol.369, p.112575, Article 112575

2020

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End-to-End GPS Tracker Based on Switchable Fuzzy Normalization Codec for Assistive Drone Application

IEEE transactions on consumer electronics, 2024-05, Vol.70 (2), p.4922-4933

2024

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BMAE-Net: A Data-Driven Weather Prediction Network for Smart Agriculture

Agronomy (Basel), 2023-03, Vol.13 (3), p.625

2023

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

Mathematics (Basel), 2020-02, Vol.8 (2), p.214

2020

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Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting

Mathematics (Basel), 2023-02, Vol.11 (4), p.837

2023

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Graphitic carbon nitride loaded with bismuth nanoparticles displays antibacterial photocatalytic activity

Rare metals, 2022-05, Vol.41 (5), p.1570-1582

2022

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

Complexity (New York, N.Y.), 2020, Vol.2020 (2020), p.1-14

2020

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Dynamic Correlation Analysis Method of Air Pollutants in Spatio-Temporal Analysis

International journal of environmental research and public health, 2020-01, Vol.17 (1), p.360

2020

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Differential Evolution Algorithm Combined with Uncertainty Handling Techniques for Stochastic Reentrant Job Shop Scheduling Problem

Complexity (New York, N.Y.), 2022, Vol.2022 (1)

2022

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

CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

Partially-coupled gradient-based iterative algorithms for multivariable output-error-like systems with autoregressive moving average noises

A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting

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

A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model

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

The New Trend of State Estimation: From Model-Driven to Hybrid-Driven Methods

Joint Multi-innovation Recursive Extended Least Squares Parameter and State Estimation for a Class of State-space Systems

Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction

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

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

Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System

Advances in Multi-Sensor Information Fusion: Theory and Applications 2017

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

Multi-Channel Fusion Classification Method Based on Time-Series Data

Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model

End-to-End GPS Tracker Based on Switchable Fuzzy Normalization Codec for Assistive Drone Application

BMAE-Net: A Data-Driven Weather Prediction Network for Smart Agriculture

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

Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting

Graphitic carbon nitride loaded with bismuth nanoparticles displays antibacterial photocatalytic activity

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

Dynamic Correlation Analysis Method of Air Pollutants in Spatio-Temporal Analysis

Differential Evolution Algorithm Combined with Uncertainty Handling Techniques for Stochastic Reentrant Job Shop Scheduling Problem

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