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Dr. Elakkiya R

dubai Computer Science

Assistant Professor, Department of Computer Science

Artificial Intelligence & Machine Learning Researcher, Data Science & Natural Language Processing Enthusiast, Deep Learning & Computer Vision Developer, Keynote Speaker in ML & Allied Domains
Birla Institute of Technology & Science, Pilani
Dubai Campus
Dubai International Academic City
P. O. Box No. - 345055, Dubai, UAE
elakkiya@dubai.bits-pilani.ac.in
+97144200700 Extn:314
https://www.linkedin.com/in/dr-elakkiya-r-581884b1/

Research Publications

Books & Book Chapters

  1. Indragandhi V, Elakkiya R, Subramaniyaswamy V. 2024. Green Machine Learning and Big Data for Smart Grids: Practices and Applications. Amsterdam: Elsevier. (Link)
  2. Maxim Bakaev, Radomir Bolgov, Andrei V. Chugunov, Roberto Pereira, Elakkiya R, Wei Zhang. Digital Geography: Proceedings of the International Conference on Internet and Modern Society (IMS 2023). Springer Nature; 2024. (Link)
  3. Elakkiya R, Subramaniyaswamy V. 2024. Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications. New York:John Wiley & Sons,Inc.(Link)
  1. Keerthana S, Elakkiya R, Santhi B. Deep Recommender System for Optimizing Debt Collection Using Reinforcement Learning. Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications. 2024 Apr 25:51-71.
  2. Saravanan P, Indragandhi V, Elakkiya R, Subramaniyaswamy V. Investigation of Feature Fusioned Dictionary Learning Model for Accurate Brain Tumor Classification. Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications. 2024 Apr 25:223-37.
  3. Raja Muthalagu, Tamizharasan P S, Pranav M. Pawar, Elakkiya R, Neeli Rashmi Prasad, Michele Fiorentino edited a book “Computational Intelligence and Network Systems” Proceedings of Communications in Computer and Information Science (CCIS), Springer, Volume 1978, 2023.
  4. Rajasekar E, Mathiazhagan A, Rajalakshmi E. Hybrid Convolutional Recurrent Neural Network for Isolated Indian Sign Language Recognition. InDeep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing 2023 Aug 21 (pp. 129-145). Bentham Science Publishers.
  5. Balasubramanian N, Rajasekar E. Deep SLRT: The Development of Deep Learning based Multilingual and Multimodal Sign Language Recognition and Translation Framework. InDeep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing 2023 Aug 21 (pp. 103-128). Bentham Science Publishers.
  6. Elakkiya, R, 2021, ‘Sign Language Recognition’, Bonfring Publishers, ISBN: 978-81-951626-2-8
  7. Padmapriya, G., Elakkiya, and M. Prakash. "Deep Learning Based Parkinson's Disease Prediction System." In Machine Learning and IoT for Intelligent Systems and Smart Applications, pp. 97-111. CRC Press, 2021.
  8. Asik Ibrahim, N., E. Rajalakshmi, V. Vijayakumar, Elakkiya, and V. Subramaniyaswamy. "An Investigation on Personalized Point-of-Interest Recommender System for Location-Based Social Networks in Smart Cities." In Data-Driven Mining, Learning and Analytics for Secured Smart Cities, pp. 275-294. Springer, Cham, 2021.
  9. Selvamani, K & Elakkiya, R, 2017, ‘Human Computer Interaction’, Lambert Academic Publishing Ltd, ISBN: 978-620-2-00340-7

 

Journal Publications

  1. Rajasekar Elakkiya, Chandra H, Pears N, Vairavasundaram S, Kotecha K. Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning. Biomedical Signal Processing and Control. 2025 Apr 1;102:107268. IF 4.9 [SCI Expanded]
  2. Sivamayilvelan, Keerthana, Elakkiya Rajasekar, Santhi Balachandran, Ketan Kotecha, and Subramaniyaswamy Vairavasundaram. "Data-driven approach for identifying the factors related to debt collector performance." Journal of Open Innovation: Technology, Market, and Complexity 10, no. 4 (2024): 100385. [SCImago Q1]
  3. Kumarappan, Jayaraman, Elakkiya Rajasekar*, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, and Ambarish Kulkarni. "Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions." Journal of Big Data 11, no. 1 (2024): 1-34. IF 8.6 [SCI Expanded]
  4. Kumarappan, Jayaraman, Elakkiya Rajasekar*, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, and Ambarish Kulkarni. "Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction." International Journal of Computational Intelligence Systems 17, no. 1 (2024): 267. IF 2.5 [SCI Expanded]
  5. Mohan GB, Kumar RP, Elakkiya R. Enhancing pre-trained models for text summarization: a multi-objective genetic algorithm optimization approach. Multimedia Tools and Applications. 2024 Oct 17:1-7. IF 3.0 [SCImago Q2]
  6. Sivamayilvelan K, Rajasekar E, Vairavasundaram S, Balachandran S, Suresh V. Flexible recommendation for optimizing the debt collection process based on customer risk using deep reinforcement learning. Expert Systems with Applications. 2024 Jul 30:124951. IF 7.5 [SCI Expanded]
  7. Selvaraj, Bhuvaneswari, Elakkiya Rajasekar, and John Bosco Balaguru Rayappan. "Machine Learning Approaches: Detecting the Disease Variants in Human-Exhaled Breath Biomarkers." ACS Omega (2023). IF 4.1 [SCI Expanded]
  8. Rangarajan, Prasanna Kumar, Bharathi Mohan Gurusamy, Elakkiya Rajasekar, Srisurya Ippatapu Venkata, and Spandana Chereddy. "Retroactive data structure for protein–protein interaction in lung cancer using Dijkstra algorithm." International Journal of Information Technology (2023): 1-13.
  9. H. Chandra, P. M. Pawar, R. Elakkiya, P. S. Tamizharasan, R. Muthalagu and A. Panthakkan, "Explainable AI for Soil Fertility Prediction," in IEEE Access, vol. 11, pp. 97866-97878, 2023. IF 3.367 [SCI Expanded]
  1. Natarajan, R. Elakkiya, R. Bhuvaneswari, K. Saleem, D. Chaudhary and S. H. Samsudeen, "Creating Alert messages based on Wild Animal Activity Detection using Hybrid Deep Neural Networks," in IEEE Access, vol. 11, pp. 67308-67321, 2023,
  2. Keerthana S, Elakkiya R, Belqasem A, Srete N, Subramaniyaswamy V, and Indragandhi V. A Systematic Study on Reinforcement Learning Based Applications.  2023 Feb 3; 16, no. 3: 1512. IF 3.004 [SCI Expanded]
  3. Rajalakshmi E, Elakkiya R*, Subramaniyaswamy V, Alexey LP, Mikhail G, Bakaev M, Kotecha K, Gabralla LA, Abraham A. Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture. IEEE Access. 2023 Jan 2;11:2226-38. IF 3.367 [SCI Expanded]
  4. Rajalakshmi , R. Elakkiya *,Alexey L. Prikhodko , M. G. Grif , Maxim A. Bakaev , Jatinderkumar R. Saini , Ketan Kotecha, V. Subramaniyaswamy, “Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network”, ACM Transactions on Asian and Low-Resource Language Information Processing, 22(1), pp.1-22, 2023. IF 1.413 [SCI Expanded]
  5. Natarajan, B; Elakkiya, R*, “Dynamic GAN for high-quality sign language video generation from skeletal poses using generative adversarial networks”, Soft Computing, 26(23), pp: 13153-13175, 2022. IF 3.643[SCI Expanded]
  6. Natarajan B, Rajalakshmi E, Elakkiya R*, Kotecha K, Abraham A, Gabralla LA, Subramaniyaswamy V. Development of an end-to-end deep learning framework for sign language recognition, translation, and video generation. IEEE Access. 2022 Sep 28. IF 3.367 [SCI Expanded]
  7. Natarajan B, Elakkiya R*, Prasad ML. Sentence2SignGesture: a hybrid neural machine translation network for sign language video generation. Journal of Ambient Intelligence and Humanized Computing. 2022 Jan 26:1-5. IF 7.104 [SCI Expanded]
  8. Elakkiya R*,Teja KS, Jegatha Deborah L, Bisogni C, Medaglia C. Imaging based cervical cancer diagnostics using small object detection-generative adversarial networks. Multimedia Tools and Applications. 2022 Jan;81(1):191-207 IF 2.757 [SCI Expanded]
  9. Elakkiya, R *,Deepak Kumar Jain, Ketan Kotecha, Sharnil Pandya, Sai Siddhartha Reddy, E. Rajalakshmi, Vijayakumar Varadarajan, Aniket Mahanti, and V. Subramaniyaswamy. "Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA." Frontiers in Public Health 9 (2021). IF 6.461 [SCI Expanded]
  10. Elakkiya, R*, Subramaniyaswamy, V. Vijayakumar, and Aniket Mahanti. "Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks." IEEE Journal of Biomedical and Health Informatics (2021). IF 5.772 [SCI Expanded]
  11. Elakkiya, R*,Pandi Vijayakumar, and Neeraj Kumar. "An Optimized Generative Adversarial Network Based Continuous Sign Language Classification" Expert Systems with Applications (2021): 115276. IF 6.954 [SCI Expanded]
  12. Elakkiya, R.,Pandi Vijayakumar, and Marimuthu Karuppiah. "COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking." Information Systems Frontiers (2021): 1-15. IF: 6.191. [SCI Expanded]
  13. Elakkiya, R. "Machine Learning Based Intelligent Automated Neonatal Epileptic Seizure Detection." Journal of Intelligent & Fuzzy Systems Preprint: 1-9. IF: 1.971. [SCI Expanded]
  14. Elakkiya, R*, "Machine learning based sign language recognition: A review and its research frontier." Journal of Ambient Intelligence and Humanized Computing 12, no. 7 (2020): 7205-7224, IF:7.104 [SCI Expanded]
  15. Elakkiya, R.,MG Grif, Al Prikhodko, & M? Bakaev. "Recognition of Russian and Indian sign languages used by the deaf people" Science Bulletin of the Novosibirsk State Technical University, 2020, no. 2–3 (79), pp. 57–76. DOI: 10.17212/1814-1196-2020-2-3-57-76. [Russian SCI]
  16. Elakkiya R,Kavithaa G, Vahid Samavatian, K. Alhaifi, Alireza Kokabi, Hossein Moayedi, “Reliability Enhancement of a power semiconductor with optimized solder layer thickness”, IEEE Transactions on Power Electronics, vol.35, no. 6, pp. 6397-6404, 2019, IF:7.224 [SCI Expanded]
  17. Elakkiya R, Vanitha V, “Interactive real time fuzzy class level gesture similarity measure based sign language recognition using artificial neural networks”, Journal of Intelligent & Fuzzy Systems, vol.37, no.5, pp.6855-6864, 2019. IF: 1.637. [SCI Expanded]
  18. Vanitha V, Krishnan P,  Elakkiya R, “Collaborative optimization algorithm for learning path construction in E-learning”, Computers and Electrical Engineering, vol. 77,  pp. 325-338, 2019, IF: 2.189. [SCI Expanded]
  19. Elakkiya R, Selvamani K, “Subunit Sign Modelling Framework for Continuous Sign Language Recognition”, Computers and Electrical Engineering, vol. 74, pp. 379-390, 2019, IF: 2.189. [SCI Expanded]
  20. Elakkiya R, Selvamani K, “Enhanced Dynamic Programming Approach for Subunit Modelling to Handle Segmentation and Recognition Ambiguities in Sign Language”, Journal of Parallel and Distributed Computing, vol. 117, pp. 246-255, 2018, IF: 1.974. [SCI Expanded]
  21. Elakkiya R, Selvamani K, “Extricating Manual and Non-Manual Features for Subunit Level Medical Sign Modelling in Automatic Sign Language Classification and Recognition”, Journal of Medical Systems, vol. 41, no. 11, pp. 175, 2017, IF: 2.415. [SCI Expanded]
  22. Selvamani K, Elakkiya R,Vignesh PS, “A new Approach for Information Retrieval using Knowledge and Frequency based Summarizing”, UGC International Journal of Computer & Mathematical Sciences, Vol.6, no. 9, pp. 8-14, 2017, IF:4.655. [UGC Approved]
  23. Elakkiya R,Selvamani K, “Sign Language Classification and Recognition: A Review”, An International Journal of Applied Engineering Research, Vol. 33, pp.25383-25386, 2015 [Scopus Indexed]
  24. Kanimozhi, Elakkiya R, K.Selvamani, “A New Model for Human Computer Interaction and Sign Language Recognition Using HGR”, Wulfenia Journal, Vol 20, No.3, pp. 94-104, Mar 2013, ISSN: 1561-882X, IF: 2.000. [SCI Expanded]
  25. Velumadhava Rao, K Selvamani, R Elakkiya,“A Secure Key Transfer Protocol for Group Communication”, Advanced Computing: An International Journal (ACIJ), 83-90, Vol.3, No.6, November 2012. [Scopus indexed]
  26. Selvamani, R. Elakkiya, S. Kanimozhi, and D Arivudainambi, “An Enhanced Interactive System for Sensory and Gustatory Impaired People Using Human Gesture Recognition”, Journal of Archives Des Sciences, Issue 9, Vol 65, pp. 152-160, sep 2012, ISSN:1661-464X, IF: 0.474. [SCI Expanded]
  27. Elakkiya,K. Selvamani, R. Velumadhava Rao and A. Kannan, “Fuzzy Hand Gesture Recognition based Human Computer Interface Intelligent System”, UACEE International Journal of Advances in Computer Networks and its Security - Volume 2, Issue 1, pp: 29-33, Apr 25, 2012, ISSN 2250 - 3757.

International Conference Proceedings

  1. Mohan GB, Ganesh KS, Lavanya G, Elakkiya R. Enhancing Named Entity Recognition with a BERT-DQN Hybrid Model. In2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2024 Jun 24 (pp. 1-5). IEEE. (Published: 04 November 2024)
  2. Mohan GB, Harigaran R, Varshan PS, Srimani R, Kumar RP, Elakkiya R. Image Caption Generation using Contrastive Language Image Pretraining. In2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2024 Jun 24 (pp. 1-5). IEEE. (Published: 04 November 2024)
  3. Anvitha V, Elakkiya R, Mohan GB, Pallavi G, Kumar RP. Enhancing Road Semantic Segmentation Using Generative Adversarial Networks. In2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2024 Jun 24 (pp. 1-6). IEEE. (Published: 04 November 2024)
  4. Sakthivel V, Mohan GB, Elakkiya R. Enhancing Medical VQA with Self-Attention Based Multi-Model Approach. In2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2024 Jun 24 (pp. 1-7). IEEE. (Published: 04 November 2024)
  5. Shabarirajan KJ, Logeshwar BS, Aadhithyan D, Elakkiya R. Comparative Performance Analysis of Neural Architectures for Poem Generation. In2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT) 2024 Jul 4 (pp. 1-6). IEEE.
  6. Natarajan B, Elakkiya R, Vaidhya GK, Murali P, Geetha K. A Novel Approach for Photo-Realistic High Quality Sign Language Video Synthesis. In2024 Third International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS) 2024 Mar 14 (pp. 1-6). IEEE.
  7. Toleti J, Amirthavarshini V, Natarajan B, Elakkiya R. Towards Fluent Expression: The Impact of Deep Learning in Grammar Correction. In2023 Fourth International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) 2023 Dec 8 (pp. 1-6). IEEE.
  8. Elakkiya Rpresented a paper “Optimizing Data Extraction techniques in the Automation Industry” in the 23rd International Conference on Hybrid Intelligent Systems (HIS’23) held on December 12-13, 2023.
  9. Elakkiya Rpresented a paper “A Comparison of Word Embeddings for Comment Toxicity Detection: Detection Power of a Computer” in the 2nd International Conference on Communication, Security and Artificial Intelligence (ICCSAI-2023), Technically Co-Sponsored by IEEE UP SECTION held on 23rd-25th November 2023.
  10. Prasanna Kumar R; Bharathi Mohan G; Elakkiya R; Varsha P, "A Comparison of Word Embeddings for Comment Toxicity Detection: Detection Power of Computer," 2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI), Greater Noida, India, 2023, pp. 393-398, doi: 10.1109/ICCSAI59793.2023.10421356.
  11. Bansal A, Oviya IR, Natarajan B, Elakkiya R. Gesture Controlled Virtual Mouse. In2023 Seventh International Conference on Image Information Processing (ICIIP) 2023 Nov 22 (pp. 947-954). IEEE.
  12. Kodavati, G. B. Mohan, R. P. Kumar and Elakkiya R, "Image Captioning for Chest X-Rays Using GRU - Based Attention Mechanism," 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, 2023, pp. 518-525, doi: 10.1109/ICCCIS60361.2023.10425174.
  13. Kumar RP, Elakkiya R, Venkatakrishnan R, Shankar H, Harshitha YS, Harini K, Reddy MN. Transformer-based Models for Language Identification: A Comparative Study. In2023 International Conference on System, Computation, Automation and Networking (ICSCAN) 2023 Nov 17 (pp. 1-6). IEEE.
  14. Raj MM, Muthalagu R, Pawar PM, Periyasamy T,Elakkiya R, Panthakkan A. An Analysis of Blockchain Frameworks for Electronic Health Records Using Hyperledger. In2023 6th International Conference on Signal Processing and Information Security (ICSPIS) 2023 Nov 8 (pp. 156-161). IEEE.
  15. Elakkiya R,Anvitha V, Sulochana V. Fine Tuning Pretrained Transformers for Abstractive News Summarization. In2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) 2023 Oct 20 (pp. 1-5). IEEE.
  16. Mohan GB, Kumar RP, Elakkiya R, Pendem MV. Fine-Tuned BERT Based Multilingual Model for Named Entity Recognition in Native Indian Languages. In2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) 2023 Oct 20 (pp. 1-6). IEEE.
  17. Elakkiya R,BG PK. Medical Recommendations: Leveraging CRNN with Self-Attention Mechanism for Enhanced Systems. In2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) 2023 Oct 20 (pp. 1-6). IEEE.
  18. Kumar RP, Elakkiya R, Rithani M. Automated Sentiment Classification of Amazon Product Reviews using LSTM and Bidirectional LSTM. In2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT) 2023 Oct 20 (pp. 1-6). IEEE.
  19. Kumar P, Mohan GB, Jaikanth Y, George R, Vishnu KP, Elakkiya R. Agro-Ledger: Blockchain Based Framework for Transparency and Traceability in Agri-Food Supply Chains. In2023 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS) 2023 Oct 6 (pp. 1-6). IEEE.
  20. Chaitanya TV, Sindhu KG, Ganesh B, Natarajan B, Elakkiya R, Annamalai R. Extractive Document Summarization with Advanced Deep Reinforcement Learning. In2023 6th International Conference on Contemporary Computing and Informatics (IC3I) 2023 Sep 14 (Vol. 6, pp. 856-861). IEEE.
  21. Mishra I, Mahadik SS, Pawar PM, Muthalagu R, Elakkiya R, Kulkarni N. Learning-Tree Based Network Intrusion Detection for IoT. In2023 6th International Conference on Contemporary Computing and Informatics (IC3I) 2023 Sep 14 (Vol. 6, pp. 756-761). IEEE.
  22. Harish B, Natarajan B, Elakkiya R, Annamalai R, Bhuvaneswari R, Deepak V. Shot-level semantic reward-based self-attentional network for unsupervised video summarization. In2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC) 2023 Sep 7 (pp. 1-6). IEEE.
  23. Kumar RP, Elakkiya R, Veer VD. Exploring Machine Learning Models for Duplicate Question Detection in Online Communities. In2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC) 2023 Sep 7 (pp. 1-6). IEEE.
  24. Mohan GB, Kumar RP, Elakkiya R, Gorantla S. Enhancing Personality Classification through Textual Analysis: A Deep Learning Approach Utilizing MBTI and Social Media Data. In2023 International Conference on Network, Multimedia and Information Technology (NMITCON) 2023 Sep 1 (pp. 01-06). IEEE.
  25. Kumar RP, Mohan GB, Elakkiya R, Ajith S, Sudarshan R, Karuparthi M, Sree VB, Krushna BV. Empowering Multilingual Insensitive Language Detection: Leveraging Transformers for Code-Mixed Text Analysis. In2023 International Conference on Network, Multimedia and Information Technology (NMITCON) 2023 Sep 1 (pp. 1-6). IEEE.
  26. Eliyajer, B. Natarajan, R. Bhuvaneswari and R. Elakkiya, "A Novel Approach for Song Recommendation System Using Deep Neural Networks," 2023 IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, India, 2023, pp. 382-387, doi: 10.1109/AIC57670.2023.10263866.
  27. Swathi G, Kumar RP, Elakkiya R.Ensemble Integration of Deep Learning Models for Gender-Based Speech Emotion Recognition. In2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2023 Jul 6 (pp. 1-7). IEEE.
  28. Mani Teja, Natarajan B, Elakkiya R, Bhuvaneswari R, presented a paper entitled “SignSpeak: Exploring the Sign Language Communication using Deep Neural Networks” in ICSBMR-2023 at VIT, Chennai on May 4, 2023.
  29. Reka S, Elakkiya R. Early diagnosis of poly cystic ovary syndrome (PCOS) in young women: a machine learning approach. In2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) 2022 Oct 17 (pp. 286-288). IEEE.
  30. Selvamani K, Elakkiya R, Vignesh PS, “A new Approach for Information Retrieval using Knowledge and Frequency based Summarizing”, 4th International Conference on New Frontiers of Engineering, Science, Management and Humanities (ICNFESMH), IETE, Hyderabad, 2017.
  31. Elakkiya R, Selvamani K, “An Active Learning Framework for Human Hand Sign Gestures and Handling Movement Epenthesis Using Enhanced Level Building Approach”, Procedia Computer Science, Vol. 48, 2015, pp. 606-611, DOI: https://doi.org/10.1016/j.procs.2015.04.142. [Scopus, SCImagojr-0.26]
  32. Elakkiya R, Selvamani K, Kanimozhi S, “An enhanced model for effective recognition and segmentation of SLG in dynamic video sequence using boosted learning algorithm”, IEEE 11th International Conference on Networking, Sensing and Control (ICNSC), 108 - 113, 2014, DOI: 10.1109/ICNSC.2014.6819609. [Scopus, SCImagojr-0.15]
  33. Elakkiya R, Selvamani K, Kanimozhi S, “A framework for recognizing and segmenting sign language gestures from continuous video sequence using boosted learning algorithm”, International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), 498 – 503, 2014, DOI: 10.1109/ICICICT.2014.6781333. [Scopus, SCImagojr-0.15]
  34. Elakkiya R, Selvamani K, Kannan A, “An intelligent framework for recognizing sign language from continuous video sequence using boosted subunits”, IET Forth International Conference on SEISCON, 297-304, 2013, DOI: 10.1049/ic.2013.0329. [Scopus indexed]
  35. Elakkiya, K. Selvamani, R. Velumadhava Rao and A. Kannan, “Fuzzy Hand Gesture Recognition based Human Computer Interface Intelligent System” in the Proc. Of International Conference on Advances in Computer Science and Electronics Engineering, pp: 344-348, Feb 2012, DOI: 10.3850/978-981-07-1403-1_741.
  36. Elakkiya, K. Selvamani, S. Kanimozhi, Rao. Velumadhava and A. Kannan, “Intelligent System for Human Computer Interface Using Hand Gesture Recognition”, Procedia Engineering, Vol 38, pp: 3180-3191, Sep 2012, DOI: https://doi.org/10.1016/j.proeng.2012.06.369. [Scimagojr-0.28]
  37. Elakkiya, K. Selvamani, S. Kanimozhi, Rao. Velumadhava, J. Senthilkumar, “An Interactive System for Sensory and Gustatory Impaired People Based On Hand Gesture Recognition” Procedia Engineering, Vol 38, pp: 3166-3172, Sep 2012, DOI: https://doi.org/10.1016/j.proeng.2012.06.367. [SCImagojr-0.28]
  38. Selvamani K, Anbuchelian S, Kanimozhi S,  Elakkiya R, Bose S, Kannan A, “Hybrid framework of intrusion detection system for resource consumption based attacks in wireless ad-hoc networks”, in the proc. of International Conference on  Systems and Informatics (ICSAI), pp. 8 – 12, 2012. [SCImagojr-6 H index]
  39. Selvamani K, Kanimozhi S, Elakkiya R and Kannan A, “Enhanced Multipath Routing and Proactive Route Maintenance for Congestion Minimization and Transient Link Failures”, in the International conference on wireless networks, ICWN’12, Las Vegas,2012. [SCImagojr-7 H index]

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