2023 - Research.com Computer Science in India Leader Award
His study in the field of Computational chemistry is also linked to topics like Crystallography. Bijaya Ketan Panigrahi incorporates Computational chemistry and Electronic structure in his research. Geotechnical engineering is often connected to Hydrology (agriculture) in his work. Bijaya Ketan Panigrahi performs multidisciplinary study in the fields of Hydrology (agriculture) and Water balance via his papers. His research on Water balance frequently connects to adjacent areas such as Geotechnical engineering. Much of his study explores Ecology relationship to Rainwater harvesting. His Rainwater harvesting study frequently intersects with other fields, such as Ecology. His study ties his expertise on Water-use efficiency together with the subject of Agronomy. Borrowing concepts from Sowing, he weaves in ideas under Irrigation.
His work on Computational chemistry as part of general Electronic structure study is frequently linked to Crystallography, therefore connecting diverse disciplines of science. His study deals with a combination of Computational chemistry and Electronic structure. His study in the field of Chromatography also crosses realms of Metallurgy. Chromatography is frequently linked to Analytical Chemistry (journal) in his study. His work often combines Metallurgy and Metal studies. His Geotechnical engineering study in the realm of Groundwater interacts with subjects such as Remote sensing. Bijaya Ketan Panigrahi integrates Geotechnical engineering with Groundwater in his study. Agronomy is frequently linked to Field experiment in his study. While working on this project, Bijaya Ketan Panigrahi studies both Irrigation and Water resource management.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Power quality analysis using S-transform
P. E. K. Dash;B. K. Panigrahi;G. Panda.
IEEE Power & Energy Magazine (2002)
Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network
S. Mishra;C.N. Bhende;B.K. Panigrahi.
IEEE Transactions on Power Delivery (2008)
Adaptive particle swarm optimization approach for static and dynamic economic load dispatch
B.K. Panigrahi;V. Ravikumar Pandi;Sanjoy Das.
Energy Conversion and Management (2008)
Multiobjective Particle Swarm Algorithm With Fuzzy Clustering for Electrical Power Dispatch
S. Agrawal;B.K. Panigrahi;M.K. Tiwari.
Bacterial foraging optimisation: Nelder-Mead hybrid algorithm for economic load dispatch
B.K. Panigrahi;V. Ravikumar Pandi.
Iet Generation Transmission & Distribution (2008)
Exploratory Power of the Harmony Search Algorithm: Analysis and Improvements for Global Numerical Optimization
S Das;A Mukhopadhyay;A Roy;A Abraham.
systems man and cybernetics (2011)
A comparative study of wavelet families for EEG signal classification
Tapan Gandhi;Bijay Ketan Panigrahi;Sneh Anand.
Power Quality Disturbance Classification Using Fuzzy C-Means Algorithm and Adaptive Particle Swarm Optimization
B. Biswal;P.K. Dash;B.K. Panigrahi.
IEEE Transactions on Industrial Electronics (2009)
A clonal algorithm to solve economic load dispatch
B.K. Panigrahi;Salik R. Yadav;Shubham Agrawal;M.K. Tiwari.
Optimal coordination of directional over-current relays using Teaching Learning-Based Optimization (TLBO) algorithm
Manohar Singh;B.K. Panigrahi;A.R. Abhyankar.
International Journal of Electrical Power & Energy Systems (2013)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: