D. Nagesh Kumar
Indian Institute of Science
154 Papers
870 Citations
D. Nagesh Kumar is an academic researcher from Indian Institute of Science. The author has contributed to research in topics: Computer science & Monsoon. The author has an hindex of 41, co-authored 141 publications. Previous affiliations of D. Nagesh Kumar include Birla Institute of Technology and Science & Indian Institute of Technology Kharagpur.
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Papers
Review of trend detection methods and their application to detect temperature changes in India
P. Sonali,D. Nagesh Kumar +1 more
TL;DR: In this article, the spatial and temporal trend analysis of annual, monthly and seasonal maximum and minimum temperatures (t(max), t(min)) in India has been performed for three time slots: 1901-2003,1948-2003 and 1970-2003.
489
Multipurpose Reservoir Operation Using Particle Swarm Optimization
D. Nagesh Kumar,M. Janga Reddy +1 more
TL;DR: In this study the standard particle swarm optimization PSO algorithm is further improved by incorporating a new strategic mechanism called elitist-mutation to improve its performance, and it is seen that EMPSO is yielding better quality solutions with less number of function evaluations.
301
Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm
M. Janga Reddy,D. Nagesh Kumar +1 more
TL;DR: The results obtained using the proposed evolutionary algorithm is able to offer many alternative policies for the reservoir operator, giving flexibility to choose the best out of them, and demonstrates the usefulness of MOGA for a real life multi-objective optimization problem.
Multi-objective particle swarm optimization for generating optimal trade-offs in reservoir operation
M. Janga Reddy,D. Nagesh Kumar +1 more
TL;DR: The proposed EM‐MOPSO approach is first tested for few test problems taken from the literature and evaluated with standard performance measures, and shows that the proposed approach is a viable alternative to solve multi‐objective water resources and hydrology problems.
220
Predictability of nonstationary time series using wavelet and EMD based ARMA models
L. Karthikeyan,D. Nagesh Kumar +1 more
TL;DR: It is observed that wavelet based method has better prediction capabilities over EMD based method despite some of the limitations of time series methods and the manner in which decomposition takes place.
174