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Colin Elkin
Colin Elkin
Xylem Inc.
Verified email at xylem.com
Title
Cited by
Cited by
Year
U-net and its variants for medical image segmentation: A review of theory and applications
N Siddique, S Paheding, CP Elkin, V Devabhaktuni
Ieee Access 9, 82031-82057, 2021
5402021
Advances on localization techniques for wireless sensor networks: A survey
TJS Chowdhury, C Elkin, V Devabhaktuni, DB Rawat, J Oluoch
Computer networks 110, 284-305, 2016
1762016
U-Net and its variants for medical image segmentation: theory and applications
N Siddique, P Sidike, C Elkin, V Devabhaktuni
arXiv preprint arXiv:2011.01118, 2020
522020
Localization in wireless sensor networks: A Dempster-Shafer evidence theoretical approach
C Elkin, R Kumarasiri, DB Rawat, V Devabhaktuni
Ad Hoc Networks 54, 30-41, 2017
352017
Trends in deep learning for medical hyperspectral image analysis
U Khan, S Paheding, CP Elkin, VK Devabhaktuni
IEEE Access 9, 79534-79548, 2021
332021
A preliminary work on visualization-based education tool for high school machine learning education
AA Reyes, C Elkin, Q Niyaz, X Yang, S Paheding, VK Devabhaktuni
2020 IEEE Integrated STEM Education Conference (ISEC), 1-5, 2020
172020
Pilot skill level and workload prediction for sliding-scale autonomy
SKR Nittala, CP Elkin, JM Kiker, R Meyer, J Curro, AK Reiter, KS Xu, ...
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
112018
Comparative analysis of machine learning techniques in assessing cognitive workload
C Elkin, V Devabhaktuni
Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the …, 2020
72020
Novel human-in-the-loop (hil) simulation method to study synthetic agents and standardize human–machine teams (hmt)
P Damacharla, P Dhakal, JP Bandreddi, AY Javaid, JJ Gallimore, C Elkin, ...
Applied Sciences 10 (23), 8390, 2020
42020
U-Net and its variants for medical image segmentation: Theory and applications. arXiv 2020
N Siddique, P Sidike, C Elkin, V Devabhaktuni
arXiv preprint arXiv:2011.01118, 0
4
Fundamental cognitive workload assessment: a machine learning comparative approach
C Elkin, S Nittala, V Devabhaktuni
Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the …, 2018
32018
Analysis of alternatives for neural network training techniques in assessing cognitive workload
C Elkin, V Devabhaktuni
Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the …, 2019
22019
Educational prototype demonstrating frequency spectrum sharing through channel borrowing and priority assignment
B Keneni, B Austin, C Elkin, V Devabhaktuni
2017 IEEE International Conference on Electro Information Technology (EIT …, 2017
12017
Improved Prediction of Steel Hardness Through Neural Network Regression
C Elkin, R Bathla, T Poplawski, S Agashe, V Devabhaktuni
AISTech 2021, 2021
2021
Development of Adaptive Computational Algorithms for Manned and Unmanned Flight Safety
CP Elkin
The University of Toledo, 2018
2018
Verification of physiological data collection
C Elkin, V Devabhaktuni
Proc. 2016 Safe and Secure Systems & Software Symposium (S5), Dayton, OH …, 2016
2016
Development of novel computational algorithms for localization in wireless sensor networks through incorporation of Dempster-Shafer evidence theory
CP Elkin
University of Toledo, 2015
2015
COVID-19 Spread Prediction: A Comparative Study
P Damacharla, RR Junuthula, C Elkin, S Kumar
Engineering Archive, 0
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