Soumik Sarkar
Soumik Sarkar
Associate Professor, Iowa State University
Verified email at iastate.edu - Homepage
Title
Cited by
Cited by
Year
Machine learning for high-throughput stress phenotyping in plants
A Singh, B Ganapathysubramanian, AK Singh, S Sarkar
Trends in plant science 21 (2), 110-124, 2016
4802016
LLNet: A deep autoencoder approach to natural low-light image enhancement
KG Lore, A Akintayo, S Sarkar
Pattern Recognition 61, 650-662, 2017
4102017
An explainable deep machine vision framework for plant stress phenotyping
S Ghosal, D Blystone, AK Singh, B Ganapathysubramanian, A Singh, ...
Proceedings of the National Academy of Sciences 115 (18), 4613-4618, 2018
1972018
Deep learning for plant stress phenotyping: trends and future perspectives
AK Singh, B Ganapathysubramanian, S Sarkar, A Singh
Trends in plant science 23 (10), 883-898, 2018
1912018
Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns
C Rao, A Ray, S Sarkar, M Yasar
Signal, Image and Video Processing 3 (2), 101-114, 2009
1452009
A real-time phenotyping framework using machine learning for plant stress severity rating in soybean
HS Naik, J Zhang, A Lofquist, T Assefa, S Sarkar, D Ackerman, A Singh, ...
Plant methods 13 (1), 1-12, 2017
882017
Data-driven fault detection in aircraft engines with noisy sensor measurements
S Sarkar, X Jin, A Ray
Journal of Engineering for Gas Turbines and Power 133 (8), 2011
852011
Collaborative deep learning in fixed topology networks
Z Jiang, A Balu, C Hegde, S Sarkar
arXiv preprint arXiv:1706.07880, 2017
832017
Plant disease identification using explainable 3D deep learning on hyperspectral images
K Nagasubramanian, S Jones, AK Singh, S Sarkar, A Singh, ...
Plant methods 15 (1), 1-10, 2019
79*2019
Fault detection and isolation in aircraft gas turbine engines. Part 1: Underlying concept
S Gupta, A Ray, S Sarkar, M Yasar
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2008
632008
Computer vision and machine learning for robust phenotyping in genome-wide studies
J Zhang, HS Naik, T Assefa, S Sarkar, RVC Reddy, A Singh, ...
Scientific Reports 7 (1), 1-11, 2017
622017
An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems
T Han, C Liu, L Wu, S Sarkar, D Jiang
Mechanical Systems and Signal Processing 117, 170-187, 2019
602019
Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems
K Nagasubramanian, S Jones, S Sarkar, AK Singh, A Singh, ...
Plant methods 14 (1), 1-13, 2018
572018
A weakly supervised deep learning framework for sorghum head detection and counting
S Ghosal, B Zheng, SC Chapman, AB Potgieter, DR Jordan, X Wang, ...
Plant Phenomics 2019, 2019
542019
Traffic congestion detection from camera images using deep convolution neural networks
P Chakraborty, YO Adu-Gyamfi, S Poddar, V Ahsani, A Sharma, S Sarkar
Transportation Research Record 2672 (45), 222-231, 2018
512018
An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed cps
C Liu, S Ghosal, Z Jiang, S Sarkar
2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS …, 2016
462016
Multivariate exploration of non-intrusive load monitoring via spatiotemporal pattern network
C Liu, A Akintayo, Z Jiang, GP Henze, S Sarkar
Applied Energy 211, 1106-1122, 2018
452018
Prognostics of combustion instabilities from hi-speed flame video using a deep convolutional selective autoencoder
A Akintayo, KG Lore, S Sarkar, S Sarkar
International Journal of Prognostics and Health Management 7 (023), 1-14, 2016
45*2016
Fault detection and isolation in aircraft gas turbine engines. Part 2: validation on a simulation test bed
S Sarkar, M Yasar, S Gupta, A Ray, K Mukherjee
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2008
452008
Deep learning for flow sculpting: Insights into efficient learning using scientific simulation data
D Stoecklein, KG Lore, M Davies, S Sarkar, B Ganapathysubramanian
Scientific reports 7 (1), 1-11, 2017
442017
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Articles 1–20