Conference

Scopus Indexed Conference Paper

1. Saranya, S. M., Nivetha, V., Mouliraj, E., Komarasamy, D., & Mohanapriya, S. (2024, April). Image Segmentation Using DeepLab V3+ for Diabetic Retinopathy. In 2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS) (pp. 1-6). IEEE. 

2. Hariharasudhan, S., Komarasamy, D., Aravindh, S., Darshan, S., Saranya, S. M., & Iyapparaja, M. (2024, March). Heart diseases prediction with sound wave using support vector machine. In 2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) (pp. 1-6). IEEE. 

3. Komarasamy, D., Iyapparaja, M., Tibba, F., & Gayathri, R. (2024, February). Detailed Study on Various Techniques for Detecting Railway Track Anomaly. In 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE) (pp. 1-10). IEEE. 

4. Saranya, S. M., Komarasamy, D., Dharshini, R., Gurudeepa, R., Mohanapriya, S., & Dharani, R. (2023, July). Enhancing brain tumor classification with optimized convolutional neural networks. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE. 

5. Saranya, S. M., Abishankari, S., Dhivya, S., Mohanapriya, S., & Komarasamy, D. (2023, July). A Deep Learning-based Feature Selection Approach for COVID-19 with Machine Learning Classification. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE. 

6. Komarasamy, D., & Muthuswamy, V. (2016, February). Associate scheduling of mixed jobs in cloud computing. In Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC–16’) (pp. 133-142). Cham: Springer International Publishing. 

7. Saranya, S. M., Pranesh, T., Rajasurya, R., Sabareesh, A. H., Komarasamy, D., & Mohanapriya, S. (2024, March). Enhancing Segmentation Accuracy of Diabetic Retinal Images Using Transform Techniques and deepLabV3+ with Ensemble Classification. In International Conference on Emerging Trends and Technologies on Intelligent Systems (pp. 179-190). Singapore: Springer Nature Singapore. 

8. Komarasamy, D., Madhuradharani, M., Parthasarathy, K., & Chinnusamy, K. K. (2024, March). A Review of the Repercussions of Mobile Phones and the Internet on Education. In 2024 International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST) (pp. 1-6). IEEE. 

9. Mohanapriya, S., Dinesh, K., Sivasankar, B., Vignesh, R. G., & Vishnu Kumar, K. (2024, May). Driver distraction detection based on deep learning techniques using images. In 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) (pp. 475-480). IEEE. 

10. Mohanapriya, S., Saranya, S. M., Dinesh, K., Jawaharsrinivas, S., Lintheshwar, S., & Logeshwaran, A. (2024, June). Anomaly detection in video surveillance. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE. 

11. Mohanapriya, S., Dinesh, K., Niganth, S., Nithil Prasath, K., & Saranraj, S. (2025, May). Classification of Diseases in Mango Leaves based on deep learning using CNN model. In 2025 Fourth International Conference on Smart Technologies, Communication and Robotics (STCR) (pp. 1-5). IEEE. 

12. Aswin, S., Godwin, J., Bharat Kumaaran, P., Dinesh, K., Mohanapriya, S., & Mohana Saranya, S. (2025, June). Assessing the influence of digital connectivity on student wellness. In International Conference on Advances in Photonics Science (ICAPS 2024) (Vol. 13660, pp. 32-41). SPIE. 

13. Mohanapriya, S., Sabarish, V., Mohana Saranya, S., & Dinesh, K. (2025, March). Improved Incremental Learning for Classification using Weight Space Rotation. In 2025 International Conference on Emerging Smart Computing and Informatics (ESCI) (pp. 1-6). IEEE. 

14. K. Kousalya, K. Dinesh, B. Krishnakumar, K. J. G, K. C and P. K, "Prediction of Optimal Algorithm For Diagnosis of Chronic Obstructive Pulmonary Disease," 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichirappalli, India, 2023, pp. 1-8, doi: 10.1109/ICEEICT56924.2023.10156915.

15. S. M. R, U. Perumal, U. S. B and D. Komarasamy, "Rapid Chaotic-based Image Encryption by Combining Chaotic and Non-Chaotic Scrambling Techniques," 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2023, pp. 1189-1194, doi: 10.1109/ICCMC56507.2023.10084012.

16. D. Komarasamy, N. G. C, N. S, N. P. L, Mohanasaranya and K. K, "Air Quality Prediction and Classification using Machine Learning," 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2023, pp. 187-191, doi: 10.1109/ICCMC56507.2023.10083760.

17. D. Komarasamy, O. Duraisamy, M. S. S, S. Krishnamoorthy, S. Rajendran and D. M. K, "Spam Email Filtering using Machine Learning Algorithm," 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2023, pp. 1-5, doi: 10.1109/ICCMC56507.2023.10083607.

18. M. K. Dharani, R. Thamilselvan, D. Komarasamy, U. V, S. G and S. M, "Diabetes Prediction using Machine Learning Classification Algorithms," 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, 2022, pp. 264-269, doi: 10.1109/ICSCDS53736.2022.9760841.

19. Komarasamy, Dinesh, M. Gokuldhev, J. Jenita Hermina, M. Gokulapriya, and M. Manju. "Review for Detecting Smoke and Fire in Forest using Different Technologies." In IOP Conference Series: Materials Science and Engineering, vol. 993, no. 1, p. 012056. IOP Publishing, 2020. 

20. Dinesh Komarasamy and Vijayalakshmi Muthuswamy, "Adaptive Deadline Based Dependent Job Scheduling algorithm in cloud computing," Seventh International Conference on Advanced Computing (ICoAC), pp. 1-5, 2015

21. Dinesh Komarasamy and Vijayalakshmi Muthuswamy,"Job scheduling using Minimum Variation First algorithm in cloud computing," Sixth International Conference on Advanced Computing (ICoAC), pp. 195-198, 2015

22. Jeslet DS, Komarasamy D, Hermina JJ. Student result prediction in Covid-19 lockdown using machine learning techniques. InJournal of Physics: Conference Series 2021 May 1 (Vol. 1911, No. 1, p. 012008). IOP Publishing. 

Others

1. Komarasay, D., Gupta, M., Murugesan, M., Jenita Hermina, J., & Gokuldhev, M. (2022, September). Frequent Pattern Mining in Big Data Using Integrated Frequent Pattern (IFP) Growth Algorithm. In Proceedings of the 6th International Conference on Advance Computing and Intelligent Engineering: ICACIE 2021 (pp. 423-431). Singapore: Springer Nature Singapore.

2. Mohana Saranya, S., Sowmiya, S., Vinieth, S. S., Savitha, S., Mohanapriya, S., & Dinesh, K. ASPP U-NET. 

3. Dinesh Komarasamy and Vijayalakshmi Muthuswamy, “Negotiation based Cost-aware Job Scheduling Approach in Cloud Computing”, National Conference on Intelligent Computing and Data Analytics, pp. 163-172, 2016

4. Dinesh Komarasamy and Vijayalakshmi Muthuswamy, “A Parallel Bi-objective Optimized Meta Scheduling Algorithm in Cloud Computing”, National Conference on Intelligent Computing and Data Analytics, pp. 215-224, 2016

5. K Dinesh, V Venkatesa Kumar,  “Dynamic Load Balancing for a Grid Environment”, 4th National Conference on Recent Trends in Information and Communication Technology, 8-9 April 2011

6. K Dinesh, “Human face Recogination using Back Propagation”, National Conference on Computational Intelligence and Network Security, 3-4 april 2009