Hailin Feng
Orcid: 0000-0003-2734-480X
According to our database1,
Hailin Feng
authored at least 61 papers
between 2006 and 2024.
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Bibliography
2024
Vehicle Interactive Dynamic Graph Neural Network-Based Trajectory Prediction for Internet of Vehicles.
IEEE Internet Things J., November, 2024
Short-Term PM2.5 Prediction Based on Multi-Modal Meteorological Data for Consumer-Grade Meteorological Electronic Systems.
IEEE Trans. Consumer Electron., February, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Security of target recognition for UAV forestry remote sensing based on multi-source data fusion transformer framework.
Inf. Fusion, 2024
Lightweight and accurate aphid detection model based on an improved deep-learning network.
Ecol. Informatics, 2024
Predicting water quality in municipal water management systems using a hybrid deep learning model.
Eng. Appl. Artif. Intell., 2024
Digit. Commun. Networks, 2024
ControlCity: A Multimodal Diffusion Model Based Approach for Accurate Geospatial Data Generation and Urban Morphology Analysis.
CoRR, 2024
TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality Model.
CoRR, 2024
CoRR, 2024
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
Biomed. Signal Process. Control., May, 2023
ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2023
Innovative soft computing-enabled cloud optimization for next-generation IoT in digital twins.
Appl. Soft Comput., March, 2023
Matrix reconstruction with reliable neighbors for predicting potential MiRNA-disease associations.
Briefings Bioinform., January, 2023
Remote. Sens., 2023
2022
Computational Intelligence in Security of Digital Twins Big Graphic Data in Cyber-physical Systems of Smart Cities.
ACM Trans. Manag. Inf. Syst., December, 2022
ACM Trans. Sens. Networks, 2022
Novel Machine Learning for Big Data Analytics in Intelligent Support Information Management Systems.
ACM Trans. Manag. Inf. Syst., 2022
Deep Learning for Security in Digital Twins of Cooperative Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2022
Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Prediction of sap flow with historical environmental factors based on deep learning technology.
Comput. Electron. Agric., 2022
2021
IEEE Trans. Image Process., 2021
Remaining useful life prediction of lithium-ion battery using a novel health indicator.
Qual. Reliab. Eng. Int., 2021
Automatic Detection and Parameter Estimation of Ginkgo biloba in Urban Environment Based on RGB Images.
J. Sensors, 2021
J. Electronic Imaging, 2021
Ecol. Informatics, 2021
Evaluation of dimensionality reduction methods for individual tree crown delineation using instance segmentation network and UAV multispectral imagery in urban forest.
Comput. Electron. Agric., 2021
The accurate prediction and characterization of cancerlectin by a combined machine learning and GO analysis.
Briefings Bioinform., 2021
2020
Deep Spectral-Spatial Features of Near Infrared Hyperspectral Images for Pixel-Wise Classification of Food Products.
Sensors, 2020
Comput. Electron. Agric., 2020
Using GMOSTNet for Tree Detection Under Complex Illumination and Morphological Occlusion.
Proceedings of the Data Science, 2020
2019
Target tracking based on improved square root cubature particle filter via underwater wireless sensor networks.
IET Commun., 2019
Stress Wave Tomography of Wood Internal Defects Based on Deep Learning and Contour Constraint Under Sparse Sampling.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019
2018
Constrains optimal propagation-based modified semi-supervised spectral clustering for large-scale data.
Int. J. Appl. Decis. Sci., 2018
Three-dimensional stress wave imaging of wood internal defects using TKriging method.
Comput. Electron. Agric., 2018
Proceedings of the 27th International Conference on Computer Communication and Networks, 2018
2017
Distributed outlier detection algorithm based on credibility feedback in wireless sensor networks.
IET Commun., 2017
Review of the use of air-coupled ultrasonic technologies for nondestructive testing of wood and wood products.
Comput. Electron. Agric., 2017
Three Dimensional Stress Wave Imaging Method of Wood Internal Defects Based on TKriging.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017
2016
Monte Carlo likelihood estimation of mixed-effects state space models with application to HIV dynamics.
J. Syst. Sci. Complex., 2016
Development of Testing Platform and Comparison Studies for Wood Nondestructive Testing.
J. Electr. Comput. Eng., 2016
Stress wave velocity patterns in the longitudinal-radial plane of trees for defect diagnosis.
Comput. Electron. Agric., 2016
2012
The Effect of Wireless Sensor Nodes Deployment Density in Forest Fire Monitoring Quality Evaluation.
J. Networks, 2012
Int. J. Distributed Sens. Networks, 2012
Proceedings of the Information Computing and Applications - Third International Conference, 2012
2011
Stress Wave Signal Denoising Using Ensemble Empirical Mode Decomposition and an Instantaneous Half Period Model.
Sensors, 2011
J. Networks, 2011
2010
Proceedings of the 2010 International Conference on High Performance Computing & Simulation, 2010
2009
Proceedings of the 2009 IEEE International Conference on e-Business Engineering, 2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009
2008
Proceedings of the Advances in Neural Networks, 2008
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
2007
Proceedings of the Life System Modeling and Simulation, International Conference, 2007
2006
IEEE Trans. Reliab., 2006
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006