Nickolas Savarimuthu

According to our database, Nickolas Savarimuthu authored at least 20 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

Clustering-based data integrity verification approach for multi-replica in a fog environment.

K. Uma Maheswari, S. Mary Saira Bhanu, Nickolas Savarimuthu

J. Supercomput., February, 2024

2023

DPD-DS for plant disease detection based on instance segmentation.

R. Kavitha Lakshmi, Nickolas Savarimuthu

J. Ambient Intell. Humaniz. Comput., 2023

A hybrid encryption for secure data deduplication the cloud.

Silambarasan Elkana Ebinazer, Nickolas Savarimuthu, S. Mary Saira Bhanu

Int. J. Cloud Comput., 2023

2022

Efficient Pre-Processing Techniques for Improving Classifiers Performance.

Nickolas Savarimuthu, Karesiddaiah Shobha

J. Web Eng., 2022

Deep Stacked Autoencoder-Based Automatic Emotion Recognition Using an Efficient Hybrid Local Texture Descriptor.

Shanthi Pitchaiyan, Nickolas Savarimuthu

J. Inf. Technol. Res., 2022

A Voronoi-Ant Colony-Based Routing (VoR-Ant-R) Algorithm for WMSNs.

S. Suseela, Rajagopal Eswari, Nickolas Savarimuthu

Int. J. Swarm Intell. Res., 2022

PLDD - A Deep Learning-Based Plant Leaf Disease Detection.

R. Kavitha Lakshmi, Nickolas Savarimuthu

IEEE Consumer Electron. Mag., 2022

2021

ESKEA: Enhanced Symmetric Key Encryption Algorithm Based Secure Data Storage in Cloud Networks with Data Deduplication.

Silambarasan Elkana Ebinazer, Nickolas Savarimuthu, S. Mary Saira Bhanu

Wirel. Pers. Commun., 2021

An efficient secure data deduplication method using radix trie with bloom filter (SDD-RT-BF) in cloud environment.

Silambarasan Elkana Ebinazer, Nickolas Savarimuthu, S. Mary Saira Bhanu

Peer-to-Peer Netw. Appl., 2021

Clustering based imputation algorithm using unsupervised neural network for enhancing the quality of healthcare data.

Karesiddaiah Shobha, Nickolas Savarimuthu

J. Ambient Intell. Humaniz. Comput., 2021

An unsupervised neural network approach for imputation of missing values in univariate time series data.

Nickolas Savarimuthu, Shobha Karesiddaiah

Concurr. Comput. Pract. Exp., 2021

2019

Novel local restart strategies with hyper-populated ant colonies for dynamic optimization problems.

Anandkumar Prakasam, Nickolas Savarimuthu

Neural Comput. Appl., 2019

2016

Application based brokering algorithm for optimal resource provisioning in multiple heterogeneous clouds.

Thiruselvan Subramanian, Nickolas Savarimuthu

Vietnam. J. Comput. Sci., 2016

Fuzzy based Quantum Genetic Algorithm for Project Team Formation.

Arish Pitchai, A. V. Reddy, Nickolas Savarimuthu

Int. J. Intell. Inf. Technol., 2016

Cloud Service Evaluation and Selection Using Fuzzy Hybrid MCDM Approach in Marketplace.

Thiruselvan Subramanian, Nickolas Savarimuthu

Int. J. Fuzzy Syst. Appl., 2016

Metaheuristic algorithms and probabilistic behaviour: a comprehensive analysis of Ant Colony Optimization and its variants.

Anandkumar Prakasam, Nickolas Savarimuthu

Artif. Intell. Rev., 2016

2015

A Study on Optimized Resource Provisioning in Federated Cloud.

Thiruselvan Subramanian, Nickolas Savarimuthu

CoRR, 2015

2011

A Classification Model for Customer Segmentation.

Chithra Ramaraju, Nickolas Savarimuthu

Proceedings of the Advances in Computing and Communications, 2011

2009

Enhancing the Performance of LibSVM Classifier by Kernel F-Score Feature Selection.

Balakrishnan Sarojini, Narayanasamy Ramaraj, Nickolas Savarimuthu

Proceedings of the Contemporary Computing - Second International Conference, 2009

2008

SVM ranking with backward search for feature selection in type II diabetes databases.

Balakrishnan Sarojini, Ramaraj Narayanaswamy, Nickolas Savarimuthu, Rita Samikannu

Proceedings of the IEEE International Conference on Systems, 2008