Hybrid soft computing techniques for feature selection and parameter optimization in power quality data mining. - K. Manimala; K. Selvi; R. Ahila (Appl. Soft Comput., 2011)

Power Disturbances Pattern Recognition Using Support Vector Machine. - K. Manimala; K. Selvi; R. Ahila (Int. J. Inf. Acquis., 2011)

Particle Swarm Optimization-Based Feature Selection and parameter Optimization for Power System disturbances Classification. - R. Ahila; V. Sadasivam; K. Manimala (Appl. Artif. Intell., 2012)

Optimal Feature Set and parameter Selection for Power Quality Data Mining. - K. Manimala; K. Selvi; R. Ahila (Appl. Artif. Intell., 2012)

Optimization techniques for improving power quality data mining using wavelet packet based support vector machine. - K. Manimala; K. Selvi; R. Ahila (Neurocomputing, 2012)

An integrated PSO for parameter determination and feature selection of ELM and its application in classification of power system disturbances. - R. Ahila; V. Sadasivam; K. Manimala (Appl. Soft Comput., 2015)

A novel data selection technique using fuzzy C-means clustering to enhance SVM-based power quality classification. - K. Manimala; Indra Getzy David; K. Selvi (Soft Comput., 2015)

Implementation of optimized dynamic trajectory modification algorithm to avoid obstacles for secure navigation of UAV. - P. S. Krishnan; K. Manimala (Appl. Soft Comput., 2020)

SVM-based regression for forecasting building power energy consumption using smart meter data. - R. Mathumitha; P. Rathika; K. Manimala (ICCCNT, 2023)

Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review. - R. Mathumitha; P. Rathika; K. Manimala (Artif. Intell. Rev., 2024)