3 papers
physics.ao-ph2026
PrecipCorrDiff: A Deep Learning Framework for Generating 0.0625 High-Resolution IMD Gridded Precipitation Data
Bipin Kumar, Rajib Chattopadhyay, Harsh P. Bachhav +7
High-resolution precipitation datasets are essential for weather forecasting, hydrological modeling, and climate risk assessment, yet observation-based gridded products often lack…
cs.LG2020
Rank Based Pseudoinverse Computation in Extreme Learning Machine for Large Datasets
Ramesh Ragala, Bharadwaja kumar
Extreme Learning Machine (ELM) is an efficient and effective least-square-based learning algorithm for classification, regression problems based on single hidden layer feed-forward…
cs.AI2018
k-RNN: Extending NN-heuristics for the TSP
Nikolas Klug, Alok Chauhan, Ramesh Ragala +1
In this paper we present an extension of existing Nearest-Neighbor heuristics to an algorithm called k-Repetitive-Nearest-Neighbor. The idea is to start with a tour of k nodes and…