A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System
Authors
Keywords
-
Journal
Agronomy-Basel
Volume 12, Issue 3, Pages 591
Publisher
MDPI AG
Online
2022-02-28
DOI
10.3390/agronomy12030591
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- 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
- PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data
- (2022) Xue-Bo Jin et al. Mathematics
- A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
- (2022) Xue-Bo Jin et al. Entropy
- 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
- Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy
- (2021) Xue-Bo Jin et al. Entropy
- Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data
- (2021) Ling Xu et al. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
- Prediction Approaches for Smart Cultivation: A Comparative Study
- (2021) Amitabha Chakrabarty et al. COMPLEXITY
- Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization
- (2021) Xue-Bo Jin et al. Energies
- Research on Sports Performance Prediction Based on BP Neural Network
- (2021) Sitong Yang et al. Mobile Information Systems
- 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
- Survey for smart farming technologies: Challenges and issues
- (2021) Godwin Idoje et al. COMPUTERS & ELECTRICAL ENGINEERING
- 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
- Forecasting tropical cyclones wave height using bidirectional gated recurrent unit
- (2021) Fan Meng et al. OCEAN ENGINEERING
- Feature wise normalization: An effective way of normalizing data
- (2021) Dalwinder Singh et al. PATTERN RECOGNITION
- 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
- 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
- Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation
- (2021) Devavrat Tomar et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- 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
- Hybrid time series forecasting methods for travel time prediction
- (2021) Faruk Serin et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- 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
- 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
- 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
- Deep Hybrid Model Based on EMD with Classification by Frequency Characteristics for Long-Term Air Quality Prediction
- (2020) Xue-Bo Jin et al. Mathematics
- A review on the long short-term memory model
- (2020) Greg Van Houdt et al. ARTIFICIAL INTELLIGENCE REVIEW
- Wind power forecasting using attention-based gated recurrent unit network
- (2020) Zhewen Niu et al. ENERGY
- 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
- Suitability of data preprocessing methods for landslide displacement forecasting
- (2020) Zongxing Zou et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises
- (2020) Jian Pan et al. IET Signal Processing
- Research on trend analysis method of multi-series economic data based on correlation enhancement of deep learning
- (2020) Weihan Wang et al. NEURAL COMPUTING & APPLICATIONS
- Deep-Learning Prediction Model with Serial Two-Level Decomposition Based on Bayesian Optimization
- (2020) Xue-Bo Jin et al. COMPLEXITY
- Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition
- (2020) Tao Zhen 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
- Comparative Study on Exponentially Weighted Moving Average Approaches for the Self-Starting Forecasting
- (2020) Jaehong Yu et al. Applied Sciences-Basel
- Electricity Consumption Forecasting Based on a Bidirectional Long-Short-Term Memory Artificial Neural Network
- (2020) Dana-Mihaela Petroșanu et al. Sustainability
- Attention-Based Gated Recurrent Unit for Gesture Recognition
- (2020) Ghazaleh Khodabandelou et al. IEEE Transactions on Automation Science and Engineering
- 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
- CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture
- (2019) Yang-Yang Zheng et al. SENSORS
- 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
- The filtering‐based maximum likelihood iterative estimation algorithms for a special class of nonlinear systems with autoregressive moving average noise using the hierarchical identification principle
- (2019) Meihang Li 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
- Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks
- (2019) Luis Gonzalo Sánchez Giraldo et al. NEURAL COMPUTATION
- 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
- Annealed gradient descent for deep learning
- (2019) Hengyue Pan et al. NEUROCOMPUTING
- 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
- SSN: Learning Sparse Switchable Normalization via SparsestMax
- (2019) Wenqi Shao et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- 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
- A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting
- (2019) Lin Tian et al. IEEE Geoscience and Remote Sensing Letters
- Deep Adaptive Input Normalization for Time Series Forecasting
- (2019) Nikolaos Passalis et al. IEEE Transactions on Neural Networks and Learning Systems
- Analysing real world data streams with spatio-temporal correlations: Entropy vs. Pearson correlation
- (2018) Maria Bermudez-Edo et al. AUTOMATION IN CONSTRUCTION
- Dynamic selection of normalization techniques using data complexity measures
- (2018) Sukirty Jain et al. EXPERT SYSTEMS WITH APPLICATIONS
- 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 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
- Continuous Dropout
- (2017) Xu Shen et al. IEEE Transactions on Neural Networks and Learning Systems
- Novel data filtering based parameter identification for multiple-input multiple-output systems using the auxiliary model
- (2016) Yanjiao Wang et al. AUTOMATICA
- 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
- Hierarchical Least Squares Identification for Linear SISO Systems With Dual-Rate Sampled-Data
- (2011) Jie Ding et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output systems
- (2011) F Ding et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
- 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
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now