Li Wang

Orcid: 0000-0001-5440-3946

Affiliations:
  • Beijing Technology and Business University, School of Computer and Information Engineering, China
  • Beihang University, School of Reliability and System Engineering, Beijing, China (PhD 2011)


According to our database1, Li Wang authored at least 16 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Where do they go next? Causal inference-based prediction and visual analysis of graduates' first destination.
J. Vis., October, 2024

DHESN: A deep hierarchical echo state network approach for algal bloom prediction.
Expert Syst. Appl., 2024

2023
Optimal Deployment for Hybrid Sensor Networks Based on Efficient Node Configuration.
Int. J. Intell. Syst., 2023

2022
Environment adaptive deployment of water quality sensor networks.
Int. J. Intell. Syst., 2022

An echo state network based adaptive dynamic programming approach for time-varying parameters optimization with application in algal bloom prediction.
Appl. Soft Comput., 2022

2021
Water eutrophication evaluation based on multidimensional trapezoidal cloud model.
Soft Comput., 2021

Self-organizing deep belief modular echo state network for time series prediction.
Knowl. Based Syst., 2021

Distributed Deep Fusion Predictor for a Multi-Sensor System Based on Causality Entropy.
Entropy, 2021

2020
An event-driven energy-efficient routing protocol for water quality sensor networks.
Wirel. Networks, 2020

An approach of recursive timing deep belief network for algal bloom forecasting.
Neural Comput. Appl., 2020

Prediction method of cyanobacterial blooms spatial-temporal sequence based on deep belief network and fuzzy expert system.
J. Intell. Fuzzy Syst., 2020

An Action Dependent Heuristic Dynamic Programming Approach for Algal Bloom Prediction With Time-Varying Parameters.
IEEE Access, 2020

Event-Triggered State Estimation for Wireless Sensor Network Systems With Packet Losses and Correlated Noises.
IEEE Access, 2020

2019
An approach of improved dynamic deep belief nets modeling for algae bloom prediction.
Clust. Comput., 2019

A Hybrid Path Planning Method for an Unmanned Cruise Ship in Water Quality Sampling.
IEEE Access, 2019

2013
Electronics Life Prediction based on Multiple Performance Parameters ADT using Multidimensional Time Series Model.
J. Comput., 2013


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