Linkan Bian

Orcid: 0000-0002-5057-6599

According to our database1, Linkan Bian authored at least 26 papers between 2011 and 2023.

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

Timeline

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Bibliography

2023
An Integrated Pricing, QoS-Aware Sensor Location Model for Security Protection in Society 5.0.
IEEE Trans. Engineering Management, November, 2023

A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition.
IEEE Trans Autom. Sci. Eng., 2023

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review.
IEEE Access, 2023

2022
Handheld device formfactor effects on worker productivity during loading tasks: a case study.
Int. J. Serv. Technol. Manag., 2022

A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images.
CoRR, 2022

2021
Drone routing and optimization for post-disaster inspection.
Comput. Ind. Eng., 2021

In Situ Nondestructive Fatigue-Life Prediction of Additive Manufactured Parts by Establishing a Process-Defect-Property Relationship.
Adv. Intell. Syst., 2021

DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool.
IEEE Access, 2021

Extracapsular extension identification for head and neck cancer using multi-scale 3D deep neural network.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020
Hierarchical spatial-temporal modeling and monitoring of melt pool evolution in laser-based additive manufacturing.
IISE Trans., 2020

Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults.
IISE Trans., 2020

3D Texture Feature-Based Lymph Node Automated Detection in Head and Neck Cancer Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model.
Reliab. Eng. Syst. Saf., 2019

A modified Ant Colony Optimization algorithm to solve a dynamic traveling salesman problem: A case study with drones for wildlife surveillance.
J. Comput. Des. Eng., 2019

In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes.
IISE Trans., 2019

Sustainable design of on-demand supply chain network for additive manufacturing.
IISE Trans., 2019

Managing congestion in a multi-modal transportation network under biomass supply uncertainty.
Ann. Oper. Res., 2019

2017
Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation.
IEEE Trans Autom. Sci. Eng., 2017

Self-Organizing and Error Driven (SOED) artificial neural network for smarter classifications.
J. Comput. Des. Eng., 2017

Botnet detection using graph-based feature clustering.
J. Big Data, 2017

A Visual Evaluation Study of Graph Sampling Techniques.
Proceedings of the Visualization and Data Analysis 2017, Burlingame, CA, USA, 29 January 2017, 2017

Bot Classification for Real-Life Highly Class-Imbalanced Dataset.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2016
Designing a reliable bio-fuel supply chain network considering link failure probabilities.
Comput. Ind. Eng., 2016

Systematic optimization of Laser-based Additive Manufacturing for multiple mechanical properties.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2013
Stochastic methodology for prognostics under continuously varying environmental profiles.
Stat. Anal. Data Min., 2013

2011
A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011


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