KEC Faculty Profile

Experience in (Years)

Number of Papers Published

No. of Worshop/FDP/Seminars attended :11

Journals Published (International)

1.PCD.Kalaivaani, P.Bharathi,"Incremental Learning on Sentiment Analysis Using Weakly Supervised Learning Techniques", International Journal of Engineering Science and Innovative Technology , Volume 3 Issue 2 , March 2014 pp 444- 450

2. PCD.Kalaivaani, Dr.R.Thangarjan.,"Using Joint Sentiment Topic Detection with Bigrams to improve the classification in Weakly Supervised Sentiment Analysis",International Journal of New Innovations in Engineering and Technology,Volume 4 Issue 3,March 2016 pp 74-80

3.PCD.Kalaivaani, Dr.R.Thangarajan," Enhancing the Classification Accuracy in Sentiment Analysis using Joint Sentiment Topic Detection with Naive Bayes Classifier", Asian Journal of Research in Social Sciences and Humanities Vol. 6, No. 12, December 2016, pp. 105-116.

4. PCD.Kalaivaani, D.Dhanalakshmi,"Structure-based Feature Extraction Method for Enhancing the Polarity Classification in Sentiment , Movie Review",International Journal of Future Innovative Science and Engineering Research  ,Volume 3, No. 1, March 2017,pp. 32

5. PCD.Kalaivaani,,N.Keerthini,"Sentiment Analysis on Multi Domain Reviews using Machine Learning Methods",Journal of Computational and Theoretical Nano Science, Volume 15, No. 5, May 2018, pp: 1603-1606

6.  PCD.Kalaivaani, Dr.R.Thangarajan,"Enhancing the Classification Accuracy in Sentiment Analysis with Computational Intelligence Using Joint Sentiment Topic Detection with MEDLDA",Intelligent Automation And Soft Computing,Vol.26, No.1,January 2020, pp.71-79

7. MK Dharani, R Thamilselvan, P Natesan, PCD Kalaivaani, S Santhoshkumar, "Review on crop prediction using deep learning techniques",Journal of Physics: Conference Series, February 2021

8.Dr.M. ManojPrabu, Dr. S. Titus, Dr.R.Suganthi, Dr. Kalaivaani P.C.D , Sivanandam S ,"Website For Lung Tumor Detection Using Deep Learning ", NeuroQuantology ,Aug 2022  Vol20  Issue 10 ,PP 4977-4988| DOI: 10.14704/Nq.2022.20.10.Nq55474

9. Dr.M.S.Jeyalakshmi ,Dr.S.Padmapriya,Dr Devidas D Dighe,Dr. Kalaivaani PCD,"Pancreatic and Brain Tumor Identification using Bioinspired  Segmentation algorithm and ANFIS Classifier",NeuroQuantology,August 2022  Vol 20 Issue 10 PP  691-711  DOI: 10.14704/nq.2022.20.10.NQ55049

10.Dr. Kalaivaani PCD ,"Diabetes Prediction using Machine Learning",International Journal of Innovative Research in Science, Engineering and Technology, May 2023, Vol  12 Issue 5

Paper Presented in National Conferences

• 1. PCD.Kalaivaani , S.Rukshana Praveen , “Load-aware Channel Assignment for Multicasting in Wireless Mesh Networks”,NCIIT, January 2011

  2. PCD.Kalaivaani , S.Rukshana Praveen , “Interference-aware Channel Assignment for Multicasting in Wireless Mesh Networks",National Conference on Natural Language Processing,February 2011

  3. PCD.Kalaivaani, M.Karthiga, " A Semantic Search Engine using Semantic Similarity between words",National Conference on Recent Advances in Computing,March 2013

4. PCD.Kalaivaani, Akilan M,Dharaneeshwaran R,Gopi T, "Online Toll Processing system by detecting paid vehicle’s number plate using Image processing Technique", 6th National Conference on Challenges and Innovations in Information Technology (CIIT),23 March 2017

5.PCD.Kalaivaani, Dharani, M.K , Akash, M., AnishVishak, R.,and Gibson,  "Improvising click through rate prediction using advanced deep lightweight features ",National Conference on Innovations In Information & Communication Technologies-(NCIICT-2021), May 2021 

Paper Presented in International Conferences

• 1. PCD.Kalaivaani, K.Nithya , "Topic Based Text Document Categorization Using Support Vector Machine", International Conference on Futuristic of CSE & IT – ICCT2012 , February 2012

  2. PCD.Kalaivaani, K.Nithya , "An Enhanced Data Mining Model For Text Classification", International Conference on Computing, Communication and Applications – ICCCA 2012, March 2012

  3. PCD.Kalaivaani, M.Karthiga "A Semantic Similarity Approach Based On Web Resources", International Conference on Information Communication & Embedded Systems, February 2013

  4. PCD.Kalaivaani, P.Bharathi , "Sentiment Classification Using Weakly Supervised Learning Techniques", International Conference on Information Communication & Embedded Systems, February 2014

  5. PCD.Kalaivaani , R. Pavithra , "Weakly Supervised Sentiment Analysis Using Joint Sentiment Topic Detection With Bigrams",  ICECS 2015 , February 2015

6. PCD.Kalaivaani, S.Nalinidevi," Enhancing the performance of Incremental Learning using Ensemble Learning Method",  IEEE Sponsored 3rd International Conference On Electronics And Communication Systems - (ICECS 2016), 25 & 26 February 2016

7. PCD.Kalaivaani,D.Dhanalakshmi,"Structure Based Feature Extraction Method for Enhancing the polarity classification in Sentiment movie reviews", 3rd International Conference on Electrical, Electronics & Computer Engineering,08&09 March 2017

8. PCD.Kalaivaani,,N.Keerthini,"Sentiment Analysis on Multi Domain Reviews using Machine Learning Methods",International Conference on Cyber Physical Systems for Next Generation Computing- CPSNGC 2018,March 1-3 2018

9.S Shubathra, PCD Kalaivaani, S Santhoshkumar, "Clothing image recognition based on multiple features using deep neural networks",2020 International Conference on Electronics and Sustainable Communication Systems (ICESC),July 2020

10. PCD Kalaivaani, M Abitha Lakshmi, V Bhuvana Preetha, R Darshana, MK Dharani, "Counting Number of People and Social Distance Detection Using Deep Learning",International Conference on Computational Intelligence in Data Science, March 2022

11.PCD Kalaivaani, R Kumaresan, AJ Manow Ranjith, S Nandha Kumar,"Hand Gestures for Mouse Movements with Hand and Computer Interaction model", International Conference on Computer Communication and Informatics (ICCCI), January 2023

12.PCD Kalaivaani,Anusruti D,Dhanvarsha S,Ashwin R,"E-Coating Ultrafiltration System Maintenance using Machine Learning Techniques ", International Conference on Computer Communication and Informatics (ICCCI), January 2023

13.PCD Kalaivaani,Multiple Symptoms Detection Using Ambulatory Blood Pressure Monitoring With Machine Learning Algorithms", Third International Conference on Artificial Intelligence and Smart Computing (ICAISC 2023) March 2023

13.S Sangeetha, K Baskar, PCD Kalaivaani, T Kumaravel,"Deep Learning-based Early Parkinson’s Disease Detection from Brain MRI Image",International Conference on Intelligent Computing and Control Systems (ICICCS), May 2023

14. CN Ravi, TS Karthik, K Manikandan, Pcd Kalaivaani, Priyanka Nandkishor Chopkar, Aviral Srivastava,"Cauchy Grasshopper Optimization Algorithm with Deep Learning Model for Cloud Enabled Cyber Threat Detection System",International Conference on Intelligent Computing and Control Systems (ICICCS), May 2023

15.R Deepa, D Vidyabharathi, PCD Kalaivaani, M Marimuthu,"Revolutionizing Hand Gesture Recognition: A Transfer Learning Approach using Surface Electromyography and Convolutional Neural Networks" Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) , August 2023

Credit Courses:

• 18VAC14 - R Programming 

• 18VAC72- Kotlin Programming 

• 18VAC73 - Webpage Development using Wordpress  

• 20VC052 - Programming with C++  

Subjects Handled:

Theory of Computation : Quiz,Tutorial, End Sem QP : Oct 2019,Oct 2018

Unit I - Introduction to Formal Proof and Automata 

Unit IV - Turing Machines

Unit 5- Undecidable and Decidable problems

Object Oriented Programming 

Strings

Applets

Event Handling

Abstract window Toolkit

Software Testing

Developing Test Plan

Analysis and Reporting Results

Software Project Management

XML and Web Services

Introduction to XML

Principles of Compiler Design: OBE activity

E content video on :       RE to DFA (direct method)

Lexical Analysis

Universal Human Values

Unit 1 - Need and Guidleines for human values

Unit II

Four Levels of harmony

Unit III

Self and Body

Python Programming 

Unit I - Basics of Python Programming 

Unit II - Python -Data Structures 

Java Programming

Innovation Enterprenuership and Venture Development