Xue-bo Jin

发表

Multisource Data Analysis for Stock Prediction

Tingli Su, Nian-Xiang Yang, Xue-bo Jin, 2018, 2018 10th International Conference on Modelling, Identification and Control (ICMIC).

Group Decision-Making Support for Sustainable Governance of Algal Bloom in Urban Lakes

Yuting Bai, Xiaoyi Wang, Xue-bo Jin, 2020, Sustainability.

A Novel Broad Echo State Network for Time Series Prediction: Cascade of Mapping Nodes and Optimization of Enhancement Layer

Yuting Bai, Tingli Su, Xue-bo Jin, 2022, Applied Sciences.

Adaptive Broad Echo State Network for Nonstationary Time Series Forecasting

Yuting Bai, Tingli Su, Xue-bo Jin, 2022, Mathematics.

Deep Fusion Predictor for aMulti-Sensor System Based on Causality Entropy

Tingli Su, Xue-bo Jin, Jianlei Kong, 2021 .

Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework

Xue-bo Jin, Jianlei Kong, Min Zuo, 2022, ArXiv.

A Novel Group Decision-Making Method Based on Sensor Data and Fuzzy Information

Ting-Li Su, Xue-bo Jin, Xiao-Yi Wang, 2016, Sensors.

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

Xiaoyi Wang, Jian-Lei Kong, Xuebo Jin, 2021, Comput. Electron. Agric..

Modelling the effect of environmental factors on the growth of Aspergillus parasiticus and mycotoxin production in paddy during storage

Jiping Xu, Zhiyao Zhao, Ke Xiong, 2021 .

A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System

Tingli Su, Xue-bo Jin, Jianlei Kong, 2022, Agronomy.

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

Jian-Lei Kong, Xuebo Jin, Ting-Li Su, 2021, Sensors.

Indoor Tracking by RFID Fusion with IMU Data

Tingli Su, Yuting Bai, Xue-Bo Jin, 2018, Asian Journal of Control.

State-of-the-Art Mobile Intelligence: Enabling Robots to Move Like Humans by Estimating Mobility with Artificial Intelligence

Tingli Su, Yuting Bai, Xue-Bo Jin, 2018 .

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

Ting-Li Su, Xue-Bo Jin, Nian-Xiang Yang, 2020, Sensors.

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

Tingli Su, Xue-bo Jin, Jianlei Kong, 2022, Entropy.

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

Xue-bo Jin, Jianlei Kong, Min Zuo, 2021, Comput. Intell. Neurosci..

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

Xue-bo Jin, Jianlei Kong, Qingchuan Zhang, 2021, Agriculture.

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

Min Zuo, Ting-Li Su, Xue-bo Jin, 2019, Sensors.

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

Xue-Bo Jin, Jian-Lei Kong, Xiao-Yi Wang, 2020, Complex..

Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making

Yi Yang, Xue-bo Jin, Xiao-yi Wang, 2020, Complex..

Online Denoising Based on the Second-Order Adaptive Statistics Model

Ting-Li Su, Xue-bo Jin, Jian-Lei Kong, 2017, Sensors.

A Fourth-Order Current Adaptive Model for Online Denoising by Kalman Filter

Tingli Su, Qiang Cai, Xuebo Jin, 2017 .

A deep network prediction model for heavy metal cadmium in the rice supply chain

Tianyang Guo, Tingli Su, Xue-bo Jin, 2021, Journal of Future Foods.

A Dead Reckoning Method Based on Neural Network Optimized Kalman Filter

Tingli Su, Xue-bo Jin, Jianlei Kong, 2022, 2022 IEEE International Conference on Unmanned Systems (ICUS).

Adaptive filtering for MEMS gyroscope with dynamic noise model.

Baihai Zhang, Yuting Bai, Xiaoyi Wang, 2020, ISA transactions.

Analysis of algae growth mechanism and water bloom prediction under the effect of multi-affecting factor

Xiaoyi Wang, L. xilinx Wang, Jiping Xu, 2017, Saudi journal of biological sciences.

Improvements of Multihop Localization Algorithm for Wireless Sensor Networks

Baihai Zhang, Xiaoyi Wang, Xuebo Jin, 2019, IEEE Systems Journal.

A Neuron-Based Kalman Filter with Nonlinear Autoregressive Model

Baihai Zhang, Yuting Bai, Xue-bo Jin, 2020, Sensors.

Expert Decision Support Technique for Algal Bloom Governance in Urban Lakes Based on Text Analysis

Yuting Bai, Xiaoyi Wang, Jiping Xu, 2017 .

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

P. Chakrabarti, Tingli Su, Xue-bo Jin, 2023, Entropy.

Deep Fusion Prediction Method for Nonstationary Time Series Based on Feature Augmentation and Extraction

Tingli Su, Xue-bo Jin, Jianlei Kong, 2023, Applied Sciences.

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

Tingli Su, Xue-bo Jin, Jianlei Kong, 2023, Agronomy.

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

Tingli Su, Yuting Bai, Xiaoyi Wang, 2021, Energies.

Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting

Xue-bo Jin, Jian-Lei Kong, Yu-Ting Bai, 2021, Comput. Intell. Neurosci..

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

Tingli Su, Xiaoyi Wang, Xue-Bo Jin, 2020, Mathematics.

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

Xiao-yi Wang, Xue-bo Jin, Yu-ting Bai, 2020, International journal of environmental research and public health.

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

Tingli Su, Xiaoyi Wang, Yuting Bai, 2020, Sustainability.

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

Tingli Su, Xiaoyi Wang, Xue-Bo Jin, 2019, Applied Sciences.

Compound Autoregressive Network for Prediction of Multivariate Time Series

Tingli Su, Jianlei Kong, Xiaoyi Wang, 2019, Complex..

Prediction for Time Series with CNN and LSTM

Tingli Su, Xiaoyi Wang, Yuting Bai, 2019 .

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

Tingli Su, Yuting Bai, Xue-bo Jin, 2021, Sensors.

An approach of improved Multivariate Timing-Random Deep Belief Net modelling for algal bloom prediction

Jiping Xu, Huiyan Zhang, Xiaoyi Wang, 2019, Biosystems Engineering.

Broad Echo State Network with Reservoir Pruning for Nonstationary Time Series Prediction

Wenjie Liu, Tingli Su, Xue-bo Jin, 2022, Computational intelligence and neuroscience.

An approach of recursive timing deep belief network for algal bloom forecasting

Jiabin Yu, Qian Sun, Huiyan Zhang, 2018, Neural Computing and Applications.

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

Tingli Su, Yuting Bai, Xiaoyi Wang, 2021, Knowl. Based Syst..

Parallel Irregular Fusion Estimation Based on Nonlinear Filter for Indoor RFID Tracking System

Shi Yan, Ting-Li Su, Xue-bo Jin, 2016, Int. J. Distributed Sens. Networks.

A Spatial Feature-Enhanced Attention Neural Network with High-Order Pooling Representation for Application in Pest and Disease Recognition

Xue-bo Jin, Jianlei Kong, Min Zuo, 2022, Agriculture.