Books

Book Chapters(5)

1. Murugan, M., da Silveira, A.C., Subashini, P., Ghinea, G., Santos, C.A.S. (2024). Technology-Enhanced Mulsemedia Learning (TEML) Through Design for Learners with Dyslexia for Enhancing the Quality of Experience (QoE). In: Huang, R., Liu, D., Adarkwah, M.A., Wang, H., Shehata, B. (eds) Envisioning the Future of Education Through Design. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-0076-9_10  (Scopus Index)

2. Krishnaveni, M., Subashini, P., Dhivyaprabha, T.T., Gayathre, B., Manimegalai, K. (2023). Artificial Intelligence–Internet of Things Enabled Mosquito-Based Diseases Identification Trap. In: Hassanien, A.E., Zheng, D., Zhao, Z., Fan, Z. (eds) Business Intelligence and Information Technology. 2022. Smart Innovation, Systems and Technologies, vol 358. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-99-3416-4_64. 

3. M.B. Jennyfer Susan, P. Subashini, and M. Krishnaveni. (2023). Artificial Intelligence of Things for Smart Healthcare Development: An Experimental Review. In P. Swarnalatha & S. Prabu (Eds.), Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT, pp. 29-60. IGI Global. DOI: https://doi.org/10.4018/978-1-6684-8098-4.ch003 

4. Subashini, P., Dhivyaprabha, T.T., Krishnaveni, M., Jennyfer Susan, M.B. (2023). Smart Intelligent System for Cervix Cancer Image Classification Using Google Cloud Platform. In: Ahad, M.A., Casalino, G., Bhushan, B. (eds) Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities. Springer, Cham, PP. 245-281. https://doi.org/10.1007/978-3-031-22922-0_10. 

5. M., Mohana., K., Nandhini., & P., Subashini. (2022). Review on Artificial Intelligence and Robots in STEAM Education for Early Childhood Development: The State-of-the-Art Tools and Applications. In A. Betts, & K. Thai (Ed.), Handbook of Research on Innovative Approaches to Early Childhood Development and School Readiness (pp. 468-498). IGI Global. https://doi.org/10.4018/978-1-7998-8649-5.ch019  (Book Name :  Handbook of Research on Innovative Approaches to Early Childhood Development and School Readiness )

Publications

Publications in National/International Journals(11)

1. Mohana, M., Subashini, P. Facial Expression Recognition Using Machine Learning and Deep Learning Techniques: A Systematic Review. SN COMPUT. SCI. 5, 432 (2024). https://doi.org/10.1007/s42979-024-02792-7  URL : https://link.springer.com/article/10.1007/s42979-024-02792-7 (Scopus) CiteScore 4.3

2. Mohana, M., Subashini, P., & Shukla, D. Revisiting face detection: Supercharging Viola-Jones with particle swarm optimization for enhanced performance. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-15. https://doi.org/10.3233/JIFS-238947   URL: https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs238947  (Scopus and SCIE ), Impact Factor: 2,  CiteScore 3.6

3. Jennyfer Susan M B, Subashini P, Krishnaveni M, Indhumathi T, "Detection of Specular Reflection from Smart Colposcopy Image using RGB Color Space and Convolutional Neural Network," International Journal of Engineering Trends and Technology, vol. 71, no. 10, pp. 29-38, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I10P204 (Scopus)

4. R. Shanmugavalli and P. Subashini, “Investigation of Ant Colony Optimization Algorithm for Efficient Energy Utilization in Wireless Sensor Network”, International Journal of Computer Networks & Communications (IJCNC), vol. 15, no. 4, pp. 73-92, July 2023. ISSN: 0975-2293, E-ISSN: 0974-2293, (Scopus Indexing). DOI:  10.5121/ijcnc.2023.15405. Publisher Name: AIRCC Publishing Corporation URL: https://aircconline.com/abstract/ijcnc/v15n4/15423cnc05.html 

5. Mohana, M., Subashini, P., & Krishnaveni, M. (2023). Emotion Recognition from Facial Expression using Hybrid CNN-LSTM Network. International Journal of Pattern Recognition and Artificial Intelligence.  VOL. 37, NO. 08  https://doi.org/10.1142/S0218001423560086 (Impact factor: 1.5, Scopus and Web of Science indexed)  

6. M.B. Jennyfer Susan, P. Subashini. (2023). Deep Learning Inpainting Model on Digital and Medical Images – A Review, International Arab Journal of Information Technology. Vol. 20, No. 6. (Article in Press - WoS and Scopus) 

7. M.B. Jennyfer Susan, P. Subashini. (2023). Improvising Grading of Cervical Cancer using Quality Assessments method in Smart Colposcopy Images, Measurement Sensors, Vol. 27, No. 3, pp. 1-11. DOI: 10.1016/j.measen.2023.100788. (Scopus). 

8. R. Keerthana, N. Valliammal, T.T. Dhivyaprabha and P. Subashini. (2023). A healthy nutrition suggestion model for indian women sports players & active youth using long short-term memory. Internet Technology Letters, Special Issue Article, pp. 1-6. DOI: https://doi.org/10.1002/itl2.452, Indexing in Scopus and WoS (E-SCI), Impact Factor: 1.7. 

9. M.B. Jennyfer Susan, P. Subashini, and M. Krishnaveni. (2022). "Comparison of various deep learning inpainting methods in smart colposcopy images", International Journal of  Computational Intelligence Studies, 11(1),  53–72. https://doi.org/10.1504/ijcistudies.2022.123347   (UGC-CARE).

10. G.Indumathi, K.Vetriselvi, Dr.K.Manimegalai, Dr.D.Mathivathani, “ Detection of Anopheline Mosquitoes from microscopic images using Image Processing", Journal of  Huazhong University of Science and Technology , Volume 50, Issue 06, June-2021. ISSN-1671-4512 

11. Dr. P. Sasirekha and Mageswari.S.S (2021) “Digital Banking: the New Normal”, SPAST Abstracts, 1(01). Available at: https://spast.org/techrep/article/view/1843. 

Publications in National/International Conferences(20) 

1. Mohana, M., da Silveira, A.C., Subashini, P., Santos, C.A.S., Ghinea, G. (2023). Technology Enhanced Mulsemedia Learning: Insights of an Evaluation. In: da Silva, H.P., Cipresso, P. (eds) Computer-Human Interaction Research and Applications. CHIRA 2023. Communications in Computer and Information Science, vol 1997. Springer, Cham. https://doi.org/10.1007/978-3-031-49368-3_3 

2. M. Mohana, N. Valliammal, V. Suvetha, M. Krishnaveni, P. Subashini and G. Ghinea, "A Study on Technology-Enhanced Mulsemedia Learning for Enhancing Learner's Experience in E-Learning," 2023 International Conference on Network, Multimedia and Information Technology (NMITCON), Bengaluru, India, 2023, pp. 01-06, doi: 10.1109/NMITCON58196.2023.10275964. 

3. M. Mohana, Aleph Campos Da Silveira, V. Suvetha, P. Subashini, Gheorghita Ghinea, and Celso Alberto Saibel Santos. 2023. Technology Enhanced Mulsemedia Learning (TEML) for Learners with Dyslexia. In ACM International Conference on Interactive Media Experiences Workshops (IMXw ’23), June 12–15, 2023, Nantes, France. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3604321.3604357  

4. M. Mohana and P. Subashini, "Emotion Recognition using Autoencoders: A Systematic Review," 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), Coimbatore, India, 2023, pp. 438-443, doi: 10.1109/ICISCoIS56541.2023.10100563. Source Link: https://ieeexplore.ieee.org/document/10100563 

5. Krishnaveni, M., Raajeswari, P., Subashini, P., Narmadha, V., Ramya, P. (2023). Soil Nutrient Prediction Model in Hybrid Farming Using Rule-Based Regressor. In: , et al. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-031-27762-7_16 

6. P. Subashini, M. Krishnaveni, T.T. Dhivyaprabha, R. Malini, V. Keerthika, G. Kaviya. (2023). A Contemporary Study on Solar Energy Applications and Evaluation in Real-Time Environment. NCMRSI 2023: Proceedings of the National Conference on Multidisciplinary Research for Sustainable Innovations, Coimbatore, pp. 138-150, ISBN: 978-81-931101- 6 - 4.  

7. P. Subashini, M. Krishnaveni, T.T. Dhivyaprabha, M. Mohana, S. Divyasri. (2023). Artificial intelligence-based Totbot Application for Primary School Children. NCMRSI 2023: Proceedings of the National Conference on Multidisciplinary Research for Sustainable Innovations, Coimbatore, pp. 126-137, ISBN: 978-81-931101- 6 - 4.

8. Mohana, M., Subashini, P. (2023). Convolutional Sparse Autoencoder for Emotion Recognition. In: , et al. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-031-27762-7_1 

9. Bhuvaneswari, S., Subashini, P. (2023). Red-Channel Based Iris Segmentation for Pupil Detection. In: , et al. The 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 2023. AICV 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-031-27762-7_22

10. M. Mohana and P. Subashini, "Emotion Recognition using Deep Stacked Autoencoder with Softmax Classifier," 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India, 2023, pp. 864-872, doi: 10.1109/ICAIS56108.2023.10073937. 

11. M.B. Jennyfer Susan and P. Subashini. (2022). "Detection of specular reflection on the smart colposcopy images using fine-tuned U-Net convolutional Neural Network".  First International Conference on Technologies, Sustainable Development Goals and Academia (ICTSGA-1).  Taylor and Francis Publisher. (Accepted) 

12. International Conference on “Artificial Intelligence – Multidisciplinary Perspectives on Emerging Challenges, Research and Opportunities”: ICAI - 2022 Abstract Proceedings, in P. Subashini, N. Valliammal, M. Krishnaveni, G. Sudhamathy and M. Thilagu (eds.), Notion Press, April 2022, pp. 1-60, ISBN: 979-8886677430

13. G. Padmavathi, D. Shanmugapriya and A. Roshni, "Performance Analysis of Unsupervised Machine Learning Methods for Mobile Malware Detection," 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), 2022, pp. 201- 206, doi: 10.23919/INDIACom54597.2022.9763180

14. G. Padmavathi, D. Shanmugapriya and S. Asha, "A Framework to Detect the Malicious Insider Threat in Cloud Environment using Supervised Learning Methods," 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), 2022, pp. 354- 358, doi: 10.23919/INDIACom54597.2022.9763205 

15. M.Mohana, Dr.P.Subashini (2021), “Comparison of Viola-Jones and Multi-Task Convolution Neural Network (MTCNN) for Face Detection from Children Facial Expression using Video Sequences” in the International Conference on Artificial Intelligence – Multidisciplinary Perspectives on Emerging Challenges, Research, and Opportunities (ICAI-2022) Organized by the Centre for Machine Learning and Intelligence, DST-CURIE-AI, during Feb 24th & 25th, Coimbatore, TamilNadu. ISBN-13 ‏: ‎979-8886677430 (Abstract Only).

16. Narmadha.V, Valliammal.N,” Detection and Prevention of Cyber Harassment against Women in Social Media using Supervised Learning Algorithm”, Proceedings of ICTARA2020, ISBN-978-81-937760-4-9,2020

17. Ms. Roshni A, Dr. Kalpana B, "IoT Based Smart Home Automation and Personalization System" Proceedings of International Conference on Next Generation Computing Systems (ICNGCS - 2021), ISBN: 978 - 93 - 89515 - 35 - 0 

18. N. Karthika and B. Sargunam, ‘YOLOv4 for Multi-class Artefact Detection in Endoscopic Images,’ 2021 International 3rd International Conference on Signal Processing and Communication (ICPSC), 2021, pp. 73-77, DOI: 10.1109/ICSPC51351.2021.9451761 

19. Dr. G. Padmavathi, Dr. D. Shanmugapriya and Ms. S. Asha, ‘A Framework for Improving the Accuracy with Different Sampling Techniques for Detection of Malicious Insider Threat IN Cloud’ presented in 5th International Joint Conference on Advances in Computational Intelligence (IJCACI 2021) and published in series “Algorithms for Intelligent Systems”, 2021, pp. 1-10

20. Bindu Vazhakkatte Thazhathethil, Utthra Balasubramaniam and Sharon Treesa Abraham, "Coimbatore Destination Chatbot: A Study on Customer Preference," 2021 IoT Vertical and Topical Summit for Tourism, 2021, pp. 1-6, DOI: 10.1109/IEEECONF49204.2021.9604846

Patents(3)

Patent Granted

1. Kidbot 1.0 -An adaptive learning-based robot using Tamil language is proposed that interactively disseminate machine learning concepts to Kids,Patent Number : 503234 , 25 Jan 2024.

2.Cervical Cancer Self-Test Kit –IoT based device that allows users to independently operate and conduct self-screening tests , Application No.-202241021066,May 2022. 

Participate in Outside Competition(1)

1.  Anveshan 2023 Student Research Convention held during 9.2.2023-10.2.2023 in Presidency university,Bangalore,India 

International Poster Publication(4)

1. R Chakkaravarthini, SN Geethalakshmi, P Subashini and TT Dhivyaprabha. Digital Apps for Nursing the Health Conditions of Pregnant Women, Infants and Young Children. ScienceOpen Posters. 2023. DOI: https://doi.org/10.14293/P2199-8442.1.SOP-.PUWWLN.v1. 

2. Pooja Sri Saraswathi A, Vijayabhanu R, Subashini P, Dhivyaprabha TT and Jennyfer Susan MB. Graph Neural Network: The Next Frontier in Deep Learning. ScienceOpen Posters. 2023. DOI: https://doi.org/10.14293/P2199-8442.1.SOP-.P9BKIX.v1. 

3. Kamalini D, Vijayabhanu R, Subashini P, Dhivyaprabha TT and Jennyfer Susan MB.  Revolutionizing Chemistry with Artificial Intelligence: Opportunities and Applications. ScienceOpen Posters. 2023. DOI: https://doi.org/10.14293/P2199-8442.1.SOP-.PSNSPU.v1.    

4. Subashini, P., Krishnaveni, M., Dhivyaprabha, T.T., Malini, R., Keerthika, V., Kaviya, G. (2023). A contemporary study on solar energy applications and evaluation in real-time environment. International Poster Challenger Competition Peeref (Poster), DOI: https://doi.org/10.54985/peeref.2304p8181720.