7 citations · 10 across the 6 of their papers we have counts for
6 papers
Chaotic CNN for Limited Data Image Classification
Anusree M, Akhila Henry, Pramod P Nair
Convolutional neural networks (CNNs) often exhibit poor generalisation in limited training data scenarios due to overfitting and insufficient feature diversity. In this work, a sim…
Self-Training the Neurochaos Learning Algorithm
Anusree M, Akhila Henry, Pramod P Nair
In numerous practical applications, acquiring substantial quantities of labelled data is challenging and expensive, but unlabelled data is readily accessible. Conventional supervis…
Biologically inspired ChaosNet architecture for Hypothetical Protein Classification
Sneha K H, Adhithya Sudeesh, Pramod P Nair +1
ChaosNet is a type of artificial neural network framework developed for classification problems and is influenced by the chaotic property of the human brain. Each neuron of the Cha…
Physics-informed Neural Networks approach to solve the Blasius function
Greeshma Krishna, Malavika S Nair, Pramod P Nair +1
Deep learning techniques with neural networks have been used effectively in computational fluid dynamics (CFD) to obtain solutions to nonlinear differential equations. This paper p…
Upper Bounds to Genome Rearrangement Problem using Prefix Transpositions
Pramod P Nair
A Genome rearrangement problem studies large-scale mutations on a set of DNAs in living organisms. Various rearrangements like reversals, transpositions, translocations, fissions,…
On The Diameter of Pancake Graphs
Harigovind V R, Pramod P Nair
The Pancake graph() represents the group of all permutations on n elements, namely , with respect to the generating set containing all prefix reversals. The diameter of a…