Journal Publications

1.  Hemalatha Krishnamoorthy, R. Ramyea, Ayyadurai Maruthu, Kannan Kandasamy, Monika Michalska, Senthil Kumar Kandasamy, Synthesis methods of carbonaceous materials from different bio-wastes as electrodes for supercapacitor and its electrochemistry - A review, Bioresource Technology Reports, Volume 19,2022,101187,ISSN 2589-014X, https://doi.org/10.1016/j.biteb.2022.101187. 

2. Kandasamy, S.K., Ravindaran, Ramyea., Michalska, M. et al. Highly carbonized Prunus dulcis shell-derived activated carbon for high-performance supercapacitor applications. Polym. Bull. (2023). https://doi.org/10.1007/s00289-022-04562-y 

3. Ramyea R, Sathya Narayanan V, Sowntharya S, Yoga Lakshmi M, Vishal Kumar P M, "Wideband Cooperative Spectrum Sensing In Cognitive Radio Network" , International Journal of Advanced Science and Technology 29 No. 3, 2020.

4. V. Sathya Narayanan, R. Ramyea, R. Vinoth Kumar, C. S. Thiru Selvam, B. Vishnu Priyan. (2020). A Deftly Anticipated Augmented Reality in Restaurant. International Journal of Advanced Science and Technology, 29(06), 7651-7658. 

5. Ramyea R, Dr. Kasthuri N, Dr. Balambigai S. (2020). Cyclostationary Based Spectrum Sensing In Cognitive Radio Networks With Rls Filter. International Journal of Advanced Science and Technology, 29(05), 6890-6898.

International Conference & Book Chapter Publications

1. Kandasamy, S.K. and Ramyea, R. (2024). Waste to Energy Technologies for Energy Recovery. In Clean and Renewable Energy Production (eds S. Mondal, A. Kumar, R.K. Pachauri, A.K. Mondal, V.K. Singh and A.K. Sharma). https://doi.org/10.1002/9781394174805.ch12 

2. Ramyea Ravindaran et al., "Performance Analysis of a VGG based Deep Learning Model for Classification of Weeds and Crops," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10307169.

3. K. N, Ramyea Ravindaran, A. V. Saravanan, D. K, H. V and D. S. M, "Epileptic Seizure Recognition with Wavelet Transform using Machine Learning," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10307658. 

4. K. N, Ramyea Ravindaran, A. V. S, A. S, D. K and C. N. Kasthuri, "Cardiac Arrhythmia Analysis using Spectrogram and Deep Learning," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-4, doi: 10.1109/ICCCNT56998.2023.10307868. 

5. R. Ramyea, S. Preethi, K. Keerthana, R. Keerthana and J. Kavivarman, "An Intellectual Supervised Machine Learning Algorithm for the Early Prediction of Hyperglycemia," 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), Kuala Lumpur, Malaysia, 2021, pp. 1-7, doi: 10.1109/i-PACT52855.2021.9696956. 

6. N. Kasthuri, R. Ramyea, D. Jeffrin, N. K. Chitrasena and K. Divveshwari, "CNN Based Automatic Segmentation of Scaling in 2-D Psoriasis Skin Images," 2022 International Conference on Connected Systems & Intelligence (CSI), Trivandrum, India, 2022, pp. 1-7, doi: 10.1109/CSI54720.2022.9924079 

7. Ramyea Ravindaran et al., "Design and Characterization of Polymer based Microstrip Patch Antenna," 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), Lonavla, India, 2023, pp. 1-5, doi: 10.1109/I2CT57861.2023.10126488. 

8. R. Ramyea et al., "Performance Analysis of a Machine Learning Enabled Anomaly Intruder Detector in Wireless Networks," 2022 IEEE 6th Conference on Information and Communication Technology (CICT), Gwalior, India, 2022, pp. 1-5, doi: 10.1109/CICT56698.2022.9997990. 

9. Kandasamy, S.K, R.Ramyea.et.al (2023). Highly Carbonized, Porous Activated Carbon Derived from Ziziphus Jujuba for Energy Storage. In: Doolla, S., Rather, Z.H., Ramadesigan, V. (eds) Advances in Clean Energy and Sustainability. ICAER 2022. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-99-2279-6_48 

10. Preethi, S., Arun Prakash, A., Ramyea, R., Ramya, S., Ishwarya, D. (2022). Classification of Autism Spectrum Disorder Using Deep Learning. In: Udgata, S.K., Sethi, S., Gao, XZ. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 431. Springer, Singapore. https://doi.org/10.1007/978-981-19-0901-6_24 

11.  R. Ramyea, S. Preethi, K. Keerthana, R. Keerthana and J. Kavivarman, "An Intellectual Supervised Machine Learning Algorithm for the Early Prediction of Hyperglycemia," 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 2021, pp. 1-7, doi: 10.1109/i-PACT52855.2021.9696956. 

12.  Preethi S; Arun Prakash A; Ramyea R; Rahul K P; Ramnath K; Pravenkumar C J , "CNN Based Automated Land Use Classification from Remotely Sensed Image," 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 2021, pp. 1-4, doi: 10.1109/i-PACT 52855.2021.9696772. 

13. R.Ramyea, Dr.N.Kasthuri "Performance Analysis of Non Cooperative Spectrum Sensing Schemes in 5G Cognitive Radio Networks" I2C2SW- IEEE xplorer 2019.

14. R. Ramyea, S. Kuppuswami, M. Joseph Auxilius Jude and V. C. Diniesh, "Performance Analysis of Standard Routing Algorithms in LEO Satellite Network", IEEE International Conference on Electronics and Communication Systems (ICECS,2016), vol.5, Feb. 2016, pp. 2727-273

Paper Presented in National Conferences

1.R.Ramyea,  “Routing Protocols in Low Earth Orbit Satellite Networks: A Survey"  in National Conference VESCOM, March 2015