Prof Kanmani .S
vidwan id: 499178
Professor, Department of Information Technology
Puducherry Technological University
Expertise
- Computer Science Artificial Intelligence
Publications
Publications
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Scopus
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12
CrossRef
Citations
435
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8
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Professional Recognition
Computer Engineering Division Prize for the paper “Evaluation of Object Oriented Metrics"
Institution of Engineers (India)Community & Membership
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The Institution of Engineers India
Computer Society of India
The Indian Society for Technical Education
Bio
Professor, Department of Information Technology, Puducherry Technological University
Personal Details
- Female
- Professor , Puducherry Technological University
- Puducherry Technological University, Puducherry
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Organisations (107+)
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Associate Professor
Dr Alwardoss Velayutham Raviprakash
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Dr Balaraman Jayaraman kalaiselvi
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Co-Authors (8)
Indian Maritime University
BMS College of Engineering
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S R M Institute of Science & Technology, Chennai
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Anna University
Puducherry Technological University
Scholarly Work
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Development of Optimal Classifier Ensemble Model through Nature-Inspired Metaheuristic Algorithms
Enhanced Genetic Algorithm with Local Search for Optimizing Soft Constrained Combinatorial Problems
Mining Association Rules using Population Based Stochastic Search Algorithms
Document Mining Techniques using Term Frequency and Correlated Concepts for Static and Dynamic Document Corpora
Development of security requirements frame work for secure software systems
Object oriented metrics for the prediction of fault prone classes using software quality models
Development of a Light-Weight Hybrid (LWH) Approach for Method-Level CodeClone Detection and Maintenance
Development of Enhanced Models for Software Test Case Optimization Techniques
Investigating Adaptive Software Learning Model with Pair Programming Policy for Programming Laboratory Courses
Development of an efficient multimodal Biometric authentication system using Scale invariant feature transform
Agent Oriented Software Engineering Framework for Effective Self Adaptive System Development
Investigation on Performance Improvement Mechanisms for Nature Inspired Algorithms
Hybrid swarm algorithms for energy optimization in localization, cluster head selection, and data aggregation in wireless sensor networks
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