M
Makarand Deo
Researcher at Norfolk State University
Publications - 155
Citations - 5189
Makarand Deo is an academic researcher from Norfolk State University. The author has contributed to research in topics: Artificial neural network & Wave height. The author has an hindex of 35, co-authored 150 publications receiving 4540 citations. Previous affiliations of Makarand Deo include Carleton University & University of Toledo.
Papers
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Solvers for the cardiac bidomain equations.
TL;DR: An overview of the bidomain equations and the methods by which they have been solved is given, of particular note are recent developments in multigrid methods, which have proven to be the most efficient.
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Forecasting wind with neural networks
Anurag More,Makarand Deo +1 more
TL;DR: The present work employs the technique of neural networks in order to forecast daily, weekly as well as monthly wind speeds at two coastal locations in India and is found to be more accurate than traditional statistical time-series analysis.
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Real time wave forecasting using neural networks
Makarand Deo,C. Sridhar Naidu +1 more
TL;DR: This paper presents a complementary and simple method to make a point forecast of waves in real time sense based on the current observation of waves at a site that incorporates the technique of neural networks.
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River Stage Forecasting Using Artificial Neural Networks
Konda Thirumalaiah,Makarand Deo +1 more
TL;DR: Neural networks are highlighted in real-time forecasting of water levels at a given site continuously throughout the year based on the same levels at some upstream gauging station and/or using the stage time history recorded at the same site.
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Neural networks for wave forecasting
TL;DR: A simple 3-layered feed forward type of network is developed and shows that an appropriately trained network could provide satisfactory results in open wider areas, in deep water and also when the sampling and prediction interval is large, such as a week.