I am your Android - Volume I 

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I am your Android - Volume II

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Nature Inspired Computing 

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Dynamic Analysis Based Mobile Malware Classification Using Supervised Machine Learning Methods

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Vulnerability Assessment with Nessus

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MACHINE LEARNING USING GOOGLE COLAB

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Book Chapters(4)

1. 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. 
2. 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 
3. 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. 
4. 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(9)

1. 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)
2. 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 
3. 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)  
4. 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) 
5. 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). 
6. 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. 
7. 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).
8. 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 
9. 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(18)

1. 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
2. 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
3. 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
4. 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.  
5. 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.
6. 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 
7. 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
8. 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. 
9. 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) 
10. 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
11. 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
12. 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 
13. 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).
14. 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
15. 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 
16. 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 
17. 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
18. 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

Thrust Areas

Vision AI

• Detection of Cervical Cancer from MobileOTD images
• Improvising Grading of Smart Colposcopy Images

Adaptive Learning 1.0

• AI based model curriculum for Nursery Schools
• AI based model curriculum for Primary Schools

Technology Enabled Learning

• Mulsemedia based Learning
• Game based Learning
• Hypermedia Learning
• Immersive Learning
• Personalized Learning

Completed Projects -PG (2022-2023)

1.Technology Enhanced Mulsemedia Learning for Enhancing Quality of Experience

The Main Motivation of the Mulsemedia model is for enriching e-learning. In this project, it is a new perspective to achieve the model “TECHNOLOGY ENHANCED MULSEMEDIA LEARNING FOR ENHANCING QUALITY OF EXPERIENCE”, through the integration of devices like olfactory ultrasonic Humidifier, Cooling fan, haptics and Galvanic Skin Response.

Ms.V.Suvetha  II MCA Department of Computer Science.

2.Tamil Voice Based Educational Bot

The Main Objective of this Project is to design a convenient android application  for the children of age 8-10 years in remote area. This help to learn about basic computer content in Native Language. 

Ms.Divyasri S   II M.Sc. CS   Department of Computer Science.

3.Prediction of Blood Brain Barrier Permeability using Graph Neural Networks

Predicting the Blood-Brain Barrier Permeability using Graph Neural Networks.

Ms.Pooja Sri Saraswathi A  II MCA Department of Computer Science.

4.Forecasting Oxidative Coupling of Methane

Develop a Predictive Model that Predicts the ethylene composition from the catalysis dataset.

Ms.Kamalini D  II MCA  Department of Computer Science.

5.Iridology based Early Diabetic Classification using Machine Learning Methods

The main objective of the proposed work is to pre-diagnise the diabetes conditon by an alternative study of Iridology with the help of Machine learning techniques.

Ms.Anandha Nayaki J  II MCA   Department of Computer Science.

6.Machine Learning based Infant Body Mass Index (BMI) Prediction through Real-Time Facial Images

The Proposed system is to develop a mobile application for infant BMI prediction using Machine Learning techniques.

Ms.Jeeva N   II MCA   Department of Computer Science.

7.Segmentation of Overlapping Cells from Microscopic Images of Sickle Cell Anaemia

The Proposed method is to identify and separate overlapped cells from a blood  smear image and identify the sickle cell count that can aid in the diagnosis and management of sickle cell anaemia.

Ms.Preetha N   II MCA   Department of Computer Science

8.Community Health Monitoring Application

The development of a mobile application that assists health assistants to detect diseases and diagnose in the earlier stage. It is proposed to further enhance the feature of the Thaimai app and it focuses on improving the wellbeing of the people who are surviving in the rural community.  

Ms.R.Chakkaravarthini   II MCA   Department of Computer Science

9.Institution e-Governance Hostel Application

The Hostel Application is designed to Provide a computerized process for Hostel Admission , Room allocation and Easy fee payment.

Ms.C.Kamali  II M.Sc. CS  Department of Computer Science.

10.Institution e-Governance Leave Application

The Proposed system will be used to maintain leave application and their approvals easily. With the help of this system staff can apply leave online, department head can approve/reject and escalate to higher levels, they update the staff leave requests. Once they approved / rejected the leave requests, it will automatically be updated to the respective staff.

Ms.N.Shalini  II MCA  Department of Computer Science

11.Evaluation of Machine Learning Algorithms For multiclass classification Using N Gram Categorization

 Enable organizations to organize all texts,emails,legal papers,database, and other paperwork efficiently. Effective in a wide range of text analytics applications where word sequences are important, including sentiment analysis,text,Categorization, and text production. 

Ms.R.Logavathani  I MCA  Department of Computer Science.

12.Community Health Nursing Application

Community health Nursing is the synthesis of nursing and public health practice applied to promote and protect the health of people who live in rural areas.

Ms.P.Surya  I MCA  Department of Computer Science

13.Community Health Worker

The health worker application is majorly used by both health worker male and female to maintain records and data which has to be stored.The health worker app is majorly used for bringing the importance of health care in rural areas and to the uneducated people who do not have any idea of health care.

R.K.Keerthana  I MCA  Department of Computer Science.

14.Community DAI

The DAI is an important person in Rural Areas to protect  Pregnant women and children of Rural Areas. The DAI is very important in Rural Areas to take care of new born child and  pregnant women.

Ms.J.Sona Steffi  I MCA  Department of Computer Science.

Student's Projects - 2022-2023

Students's Projects