no code implementations • 17 Sep 2023 • Paleti Nikhil Chowdary, Sathvika P, Pranav U, Rohan S, Sowmya V, Gopalakrishnan E A, Dhanya M
Our findings suggest that data-driven methods such as DMD and deep learning approaches like LSTM can significantly improve rainfall forecasting accuracy in the North-East region of India, helping to mitigate the impact of extreme weather events and enhance the region's resilience to climate change.
no code implementations • 10 Aug 2023 • Aadharsh Aadhithya A, Abinesh S, Akshaya J, Jayanth M, Vishnu Radhakrishnan, Sowmya V, Soman K. P
This paper provides an overview of the historical progression of distributed optimization techniques, tracing their development from early duality-based methods pioneered by Dantzig, Wolfe, and Benders in the 1960s to the emergence of the Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) algorithm.
no code implementations • 26 Aug 2021 • N S Kamal, Barathi Ganesh HB, Sajith Variyar VV, Sowmya V, Soman Kp
Manufacturing industries have widely adopted the reuse of machine parts as a method to reduce costs and as a sustainable manufacturing practice.
no code implementations • 26 Mar 2020 • Ganesh Kumar M, Soman K. P, Gopalakrishnan E. A, Vijay Krishna Menon, Sowmya V
In this paper, we have applied the logistic growth regression model and genetic algorithm to predict the number of coronavirus infected cases that can be expected in upcoming days in India and also estimated the final size and its peak time of the coronavirus epidemic in India.
no code implementations • 19 Apr 2018 • Chippy Jayaprakash, Bharath Bhushan Damodaran, Sowmya V, K. P. Soman
In literature a fewer number of pixels are randomly selected to partial to overcome this issue, however this sub-optimal strategy might neglect important information in the HSI.