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2020 – today
- 2023
[j19]Somayeh Bakhtiari Ramezani
, Logan Cummins, Brad Killen, Richard Carley, Amin Amirlatifi, Shahram Rahimi, Maria Seale, Linkan Bian:
Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review. IEEE Access 11: 41741-41769 (2023)- [j18]Shenghan Guo, Weihong Guo, Linkan Bian, Yuebin Guo:
A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition. IEEE Trans Autom. Sci. Eng. 20(1): 482-494 (2023) - [j17]Mahdi Fathi, Mohammad Marufuzzaman, Randy K. Buchanan, Christina H. Rinaudo, Kayla M. Houte, Linkan Bian:
An Integrated Pricing, QoS-Aware Sensor Location Model for Security Protection in Society 5.0. IEEE Trans. Engineering Management 70(11): 3863-3875 (2023) - 2022
- [j16]Reuben Burch, Lesley Strawderman, Tyler Ross, Linkan Bian, Katherine King, Kari Babski-Reeves, Farjana Nur:
Handheld device formfactor effects on worker productivity during loading tasks: a case study. Int. J. Serv. Technol. Manag. 28(1/2): 46-67 (2022) - [i1]Yibin Wang, Abdur Rahman, William Neil Duggar, P. Russell Roberts, Toms V. Thomas, Linkan Bian, Haifeng Wang:
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images. CoRR abs/2201.00895 (2022) - 2021
- [j15]Samson Ho, Wenlu Zhang, Wesley Young, Matthew Buchholz, Saleh A. Al-Jufout, Khalil Dajani, Linkan Bian, Mohammad Mozumdar:
DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool. IEEE Access 9: 115100-115114 (2021) - [j14]Seyyed Hadi Seifi, Aref Yadollahi, Wenmeng Tian, Haley R. Doude, Vincent H. Hammond, Linkan Bian:
In Situ Nondestructive Fatigue-Life Prediction of Additive Manufactured Parts by Establishing a Process-Defect-Property Relationship. Adv. Intell. Syst. 3(12): 2000268 (2021) - [j13]Sudipta Chowdhury, Omid Shahvari, Mohammad Marufuzzaman, Xiaopeng Li, Linkan Bian:
Drone routing and optimization for post-disaster inspection. Comput. Ind. Eng. 159: 107495 (2021) - [c6]Yibin Wang, William Neil Duggar, Toms V. Thomas, P. Russell Roberts, Linkan Bian, Haifeng Wang:
Extracapsular extension identification for head and neck cancer using multi-scale 3D deep neural network. BCB 2021: 52:1-52:5 - 2020
- [j12]Shenghan Guo, Weihong Guo, Linkan Bian:
Hierarchical spatial-temporal modeling and monitoring of melt pool evolution in laser-based additive manufacturing. IISE Trans. 52(9): 977-997 (2020) - [j11]Aniruddha Gaikwad, Reza Yavari, Mohammad Montazeri, Kevin Cole, Linkan Bian, Prahalad K. Rao:
Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults. IISE Trans. 52(11): 1204-1217 (2020) - [c5]Yibin Wang, Christian Zamiela, Toms V. Thomas, William N. Duggar, P. Russell Roberts, Linkan Bian, Haifeng Wang:
3D Texture Feature-Based Lymph Node Automated Detection in Head and Neck Cancer Analysis. BIBM 2020: 2113-2119
2010 – 2019
- 2019
- [j10]Sushil R. Poudel, Md Abdul Quddus, Mohammad Marufuzzaman, Linkan Bian, Reuben F. Burch V.:
Managing congestion in a multi-modal transportation network under biomass supply uncertainty. Ann. Oper. Res. 273(1-2): 739-781 (2019) - [j9]Mojtaba Khanzadeh, Sudipta Chowdhury, Mark A. Tschopp, Haley R. Doude, Mohammad Marufuzzaman, Linkan Bian:
In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes. IISE Trans. 51(5): 437-455 (2019) - [j8]Sudipta Chowdhury, Omid Shahvari, Mohammad Marufuzzaman, Jack Francis, Linkan Bian:
Sustainable design of on-demand supply chain network for additive manufacturing. IISE Trans. 51(7): 744-765 (2019) - [j7]Sudipta Chowdhury, Mohammad Marufuzzaman, Huseyin Tunc, Linkan Bian, William Bullington:
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. 6(3): 368-386 (2019) - [j6]Naipeng Li, Nagi Gebraeel, Yaguo Lei, Linkan Bian, Xiaosheng Si:
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model. Reliab. Eng. Syst. Saf. 186: 88-100 (2019) - 2017
- [j5]Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang, Song Zhang, Hugh R. Medal, Mohammad Marufuzzaman, Linkan Bian:
Botnet detection using graph-based feature clustering. J. Big Data 4: 14 (2017) - [j4]Ruholla Jafari-Marandi, Mojtaba Khanzadeh, Brian K. Smith, Linkan Bian:
Self-Organizing and Error Driven (SOED) artificial neural network for smarter classifications. J. Comput. Des. Eng. 4(4): 282-304 (2017) - [j3]Li Hao, Linkan Bian, Nagi Gebraeel, Jianjun Shi:
Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation. IEEE Trans Autom. Sci. Eng. 14(2): 1211-1224 (2017) - [c4]Sarah Harun, Tanveer Hossain Bhuiyan, Song Zhang, Hugh R. Medal, Linkan Bian:
Bot Classification for Real-Life Highly Class-Imbalanced Dataset. DASC/PiCom/DataCom/CyberSciTech 2017: 565-572 - [c3]Fangyan Zhang, Song Zhang, Pak Chung Wong, Hugh R. Medal, Linkan Bian, J. Edward Swan II, T. J. Jankun-Kelly:
A Visual Evaluation Study of Graph Sampling Techniques. Visualization and Data Analysis 2017: 110-117 - 2016
- [j2]Sushil R. Poudel, Mohammad Marufuzzaman, Linkan Bian:
Designing a reliable bio-fuel supply chain network considering link failure probabilities. Comput. Ind. Eng. 91: 85-99 (2016) - [c2]Amir M. Aboutaleb, Linkan Bian, Nima Shamsaei, Scott M. Thompson:
Systematic optimization of Laser-based Additive Manufacturing for multiple mechanical properties. CASE 2016: 780-785 - 2013
- [j1]Linkan Bian, Nagi Gebraeel:
Stochastic methodology for prognostics under continuously varying environmental profiles. Stat. Anal. Data Min. 6(3): 260-270 (2013) - 2011
- [c1]Linkan Bian, Nagi Gebraeel:
A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles. CIDU 2011: 219-231
Coauthor Index
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