Tingli Su

发表

Evaluation model of agricultural irrigation water quality based on projection pursuit and fuzzy support vector

Yu Duan, Huiyan Zhang, Xuewen Jin, 2017, 2017 Chinese Automation Congress (CAC).

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).

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.

Prediction Model of Wastewater Pollutant Indicators Based on Combined Normalized Codec

Yuting Bai, P. Chakrabarti, Xuewen Jin, 2022, Mathematics.

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

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

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

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

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

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

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

Xuewen Jin, Tingli Su, Jianlei Kong, 2022, Mathematics.

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.

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..

Online Denoising Based on the Second-Order Adaptive Statistics Model

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

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.

Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting

P. Chakrabarti, Xuewen Jin, Tingli Su, 2023, Mathematics.

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.

Nonstationary Time Series Prediction Based on Deep Echo State Network Tuned by Bayesian Optimization

Xuewen Jin, Tingli Su, Jianlei Kong, 2023, Mathematics.

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.

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.

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

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

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.