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Colin Elkin
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2020 – today
- 2021
- [j4]Uzair Khan, Paheding Sidike, Colin P. Elkin, Vijaya Kumar Devabhaktuni:
Trends in Deep Learning for Medical Hyperspectral Image Analysis. IEEE Access 9: 79534-79548 (2021) - [j3]Nahian Siddique, Paheding Sidike, Colin P. Elkin, Vijay Kumar Devabhaktuni:
U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications. IEEE Access 9: 82031-82057 (2021) - 2020
- [i2]Nahian Siddique, Paheding Sidike, Colin Elkin, Vijay Kumar Devabhaktuni:
U-Net and its variants for medical image segmentation: theory and applications. CoRR abs/2011.01118 (2020) - [i1]Uzair Khan, Paheding Sidike, Colin Elkin, Vijay Kumar Devabhaktuni:
Trends in deep learning for medical hyperspectral image analysis. CoRR abs/2011.13974 (2020)
2010 – 2019
- 2019
- [c4]Colin Elkin, Vijay Kumar Devabhaktuni:
Comparative Analysis of Machine Learning Techniques in Assessing Cognitive Workload. AHFE (2) 2019: 185-195 - 2018
- [c3]Sai K. R. Nittala, Colin P. Elkin, Jay M. Kiker, Robert Meyer, James Curro, Ali K. Reiter, Kevin S. Xu, Vijay K. Devabhaktuni:
Pilot Skill Level and Workload Prediction for Sliding-Scale Autonomy. ICMLA 2018: 1166-1173 - 2017
- [j2]Colin Elkin, Rajika Kumarasiri, Danda B. Rawat, Vijay Kumar Devabhaktuni:
Localization in wireless sensor networks: A Dempster-Shafer evidence theoretical approach. Ad Hoc Networks 54: 30-41 (2017) - [c2]Colin Elkin, Sai K. R. Nittala, Vijay K. Devabhaktuni:
Fundamental Cognitive Workload Assessment: A Machine Learning Comparative Approach. AHFE (2) 2017: 275-284 - [c1]Blen Keneni, Branden Austin, Colin Elkin, Vijay Kumar Devabhaktuni:
Educational prototype demonstrating frequency spectrum sharing through channel borrowing and priority assignment. EIT 2017: 540-544 - 2016
- [j1]Tashnim J. S. Chowdhury, Colin Elkin, Vijay Kumar Devabhaktuni, Danda B. Rawat, Jared Oluoch:
Advances on localization techniques for wireless sensor networks: A survey. Comput. Networks 110: 284-305 (2016)
Coauthor Index
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