B. Kalpana

According to our database, B. Kalpana authored at least 12 papers between 2007 and 2023.

Collaborative distances:

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

2023

OESV-KRF: Optimal ensemble support vector kernel random forest based early detection and classification of skin diseases.

B. Kalpana, A. K. Reshmy, S. Senthil Pandi, S. Dhanasekaran

Biomed. Signal Process. Control., August, 2023

Cat and Mouse Optimizer with Artificial Intelligence Enabled Biomedical Data Classification.

B. Kalpana, S. Dhanasekaran, T. Abirami, Ashit Kumar Dutta, Marwa Ismael Obayya, Jaber S. Alzahrani, Manar Ahmed Hamza

Comput. Syst. Sci. Eng., 2023

2019

A single server retrial fuzzy queue with priority and unequal service rates.

B. Kalpana, N. Anusheela

J. Intell. Fuzzy Syst., 2019

2018

Fast and Effective Classification using Parallel and Multi-start PSO.

M. Balasaraswathi, B. Kalpana

J. Inf. Technol. Res., 2018

2013

Pattern Based Adaptive Architecture for Internet Banking.

A. Meiappane, V. Prasanna Venkatesan, V. Jegatheeswari, B. Kalpana, U. Sarumathy

CoRR, 2013

A collaborative target tracking framework using particle filter.

B. Kalpana, R. Sangeetha

Proceedings of the 6th Joint IFIP Wireless and Mobile Networking Conference, 2013

2012

Hierarchical Directed Acyclic Graph (HDAG) Based Preprocessing Technique for Session Construction.

S. Chitra, B. Kalpana

Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012

2010

A Comparative Study and Choice of an Appropriate Kernel for Support Vector Machines.

R. Sangeetha, B. Kalpana

Proceedings of the Information and Communication Technologies - International Conference, 2010

Optimizing the kernel selection for support vector machines using performance measures.

R. Sangeetha, B. Kalpana

Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, 2010

2008

An Indexed Trie Approach to Incremental Mining of Closed Frequent Itemsets Based on a Galois Lattice Framework.

B. Kalpana, R. Nadarajan, J. Senthil Babu

Proceedings of the Database Systems for Advanced Applications, 2008

A Galois Lattice framework to handle updates in the mining of closed itemsets in dynamic databases.

B. Kalpana, R. Nadarajan, J. Senthil Babu

Proceedings of the 1st Bangalore Annual Compute Conference, Compute 2008, 2008

2007

Efficient Search Space Pruning Strategies for Mining Frequent Itemsets.

B. Kalpana, R. Nadarajan, Rukaiya Moyyad

Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007