Jian Zhang

Orcid: 0000-0002-4947-7219

Affiliations:
  • Nanjing University of Information Science and Technology, School of Computer and Software, Nanjing, China


According to our database1, Jian Zhang authored at least 16 papers between 2016 and 2022.

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

Timeline

Legend:

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Online presence:

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Bibliography

2022
DF classification algorithm for constructing a small sample size of data-oriented DF regression model.
Neural Comput. Appl., 2022

2021
Deep forest regression based on cross-layer full connection.
Neural Comput. Appl., 2021

2020
Cooperative Relay Selection for Load Balancing With Mobility in Hierarchical WSNs: A Multi-Armed Bandit Approach.
IEEE Access, 2020

Multisource Latent Feature Selective Ensemble Modeling Approach for Small-Sample High-Dimensional Process Data in Applications.
IEEE Access, 2020

2019
Optimising rendezvous-based data collection for target tracking in WSNs with mobile elements.
Int. J. Sens. Networks, 2019

Delay-Tolerant Rendezvous-Based Data Collection for Target Tracking in Large-Scale Wireless Sensor Networks with UGV.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

Traffic Aware Wireless Visual Sensor Network Deployment for 3D Indoor Monitoring.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Distribution-aware cache replication for cooperative road side units in VANETs.
Peer-to-Peer Netw. Appl., 2018

Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model.
Neurocomputing, 2018

Digital Continuity Guarantee of Electronic Record Based on Data Usability in Big Data Environment.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017
Energy-efficient data-gathering rendezvous algorithms with mobile sinks for wireless sensor networks.
Int. J. Sens. Networks, 2017

Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm.
Neurocomputing, 2017

Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

On-Line Intrusion Detection Model Based on Approximate Linear Dependent Condition with Linear Latent Feature Extraction.
Proceedings of the Cloud Computing and Security - Third International Conference, 2017

2016
Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device.
Neurocomputing, 2016

Energy-Efficient Data Collection Algorithms Based on Clustering for Mobility-Enabled Wireless Sensor Networks.
Proceedings of the Cloud Computing and Security - Second International Conference, 2016


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