Dr. Manil Maskey
Dr. Manil Maskey
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Cited by
Cited by
Tropical cyclone intensity estimation using a deep convolutional neural network
R Pradhan, RS Aygun, M Maskey, R Ramachandran, DJ Cecil
IEEE Transactions on Image Processing 27 (2), 692-702, 2017
Three years of the lightning imaging sensor onboard the international space station: Expanded global coverage and enhanced applications
RJ Blakeslee, TJ Lang, WJ Koshak, D Buechler, P Gatlin, DM Mach, ...
Journal of Geophysical Research: Atmospheres 125 (16), e2020JD032918, 2020
Using sensor web protocols for environmental data acquisition and management
H Conover, G Berthiau, M Botts, HM Goodman, X Li, Y Lu, M Maskey, ...
Ecological Informatics 5 (1), 32-41, 2010
Deepti: Deep-learning-based tropical cyclone intensity estimation system
M Maskey, R Ramachandran, M Ramasubramanian, I Gurung, B Freitag, ...
IEEE journal of selected topics in applied Earth observations and remote …, 2020
Advancing AI for Earth science: A data systems perspective
M Maskey
ESA EO Phiweek, 2020
Detection of transverse cirrus bands in satellite imagery using deep learning
J Miller, U Nair, R Ramachandran, M Maskey
Computers & Geosciences 118, 79-85, 2018
Cloud Hosted Real‐time Data Services for the Geosciences (CHORDS)
B Kerkez, M Daniels, S Graves, V Chandrasekar, K Keiser, C Martin, ...
Springer Berlin Heidelberg, 2016
High-Performance and Disruptive Computing in Remote Sensing: HDCRS—A new Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees]
G Cavallaro, DB Heras, Z Wu, M Maskey, S Lopez, P Gawron, M Coca, ...
IEEE Geoscience and Remote Sensing Magazine 10 (2), 329-345, 2022
NASA framework for the ethical use of artificial intelligence (AI)
E Mclarney, Y Gawdiak, N Oza, C Mattmann, M Garcia, M Maskey, ...
Applying deep learning to hail detection: A case study
M Pullman, I Gurung, M Maskey, R Ramachandran, SA Christopher
IEEE Transactions on Geoscience and Remote Sensing 57 (12), 10218-10225, 2019
Deep learning for phenomena-based classification of Earth science images
M Maskey, R Ramachandran, J Miller
Journal of Applied Remote Sensing 11 (4), 042608-042608, 2017
Machine learning lifecycle for earth science application: a practical insight into production deployment
M Maskey, R Ramachandran, I Gurung, B Freitag, JJ Miller, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
Oostethys-open source software for the global earth observing systems of systems
E Bridger, LE Bermudez, M Maskey, C Rueda, BL Babin, R Blair
AGU Fall Meeting Abstracts 2009, IN11C-1065, 2009
Deployable suite of data mining web services for online science data repositories
S Graves, R Ramachandran, K Keiser, M Maskey, C Lynnes, L Pham
23rd Conference on IIPS, 1-8, 2007
Earth science deep learning: Applications and lessons learned
M Maskey, R Ramachandran, JJ Miller, J Zhang, I Gurung
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers
X Duan, J Zhang, R Ramachandran, P Gatlin, M Maskey, JJ Miller, ...
2018 IEEE International Conference on Cognitive Computing (ICCC), 9-16, 2018
Using deep learning for tropical cyclone intensity estimation
J Miller, M Maskey, T Berendes
AGU fall meeting abstracts 2017, IN11E-05, 2017
Simulation Management Systems Developed by the Northern Gulf Coastal Hazards Collaboratory (NG-CHC): An Overview of Cyberinfrastructure to Support the Coastal Modeling …
RR Twilley, S Brandt, D Breaux, J Cartwright, J Chen, G Easson, ...
Remote Sensing and Modeling: Advances in Coastal and Marine Resources, 365-394, 2014
Initiating collaboration among organ transplant professionals through web portals and mobile applications
DNP Susan Alexander, A AHNP, RN Haley Hoy PhD, M Maskey, ...
Online Journal of Issues in Nursing 18 (1), 32, 2013
Talkoot: software tool to create collaboratories for earth science
R Ramachandran, M Maskey, A Kulkarni, H Conover, US Nair, S Movva
Earth Science Informatics 5, 33-41, 2012
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