1. Lourdu Mahimai Doss P, Muthumanickam Gunasekaran, Jungeun Kim, Seifedine Kadry, 2024, Adversarial robustness enhancement in deep learning-based breast cancer classification: A multi-faceted approach to poisoning and Evasion attack mitigation, Alexandria Engineering Journal, vol. 115, no. 2025, pp. 65-82, 2024. (Impact Factor: 6.2) - SCI Indexed

2. Xavier Wilson Selvaraj, Lourdu Mahimai Doss P, Muthumanickam Gunasekaran, Steffi Jass Jeya Chandra Babu, ‘Convolutional Neural Networks from Medical Image Analysis to Adversarial Attacks and Defenses’, Journal of Electrical Systems, vol. 20, no. 3, 2024. Scopus

3. Gunasekaran M & Prakash V S, 2021, ‘L2b: Lexicon Boosted Bayesian Classification for Popularity Prediction of Movies with Improved Accuracy using Twitter Corpus’, vol. 12, no. 7, pp. 1669-1675, April 2021.

4. V. S. Prakash & M Gunasekaran, 2021, ‘Enhanced with Disrupted Data by Choosing Features’, Turkish Journal of Computer and Mathematics Education, vol. 12, no. 7, pp. 1659-1668, April 2021.

5. P. Purusothaman & M. Gunasekaran, 2021, ‘Adaptive Neural Network with Hybrid Optimization Oriented Localization in Wireless Sensor Network: A Multi Objective Model’, International Journal of Wavelets, Multiresolution and Information Processing, vol. 19, no. 1, January 2021. (Impact Factor: 0.463) – Scopus

6. Gunasekaran Muthumanickam & Prakash V S, 2020, “Impact of Augmented Reality Applications on Fashion Industries”, Journal of Xi’an Shiyou University, Natural Science Edition, vol. 16, no. 11, pp. 82-85, November 2020. (Impact Factor: 0.29) – Scopus 

7. Sathishkumar P and Gunasekaran M, 2020, "An Improved Vertical Fragmentation, Allocation and Replication for Enhancing E-Learning in Distributed Database Environment", Computational Intelligence, Wiley, August 2020. (Impact Factor: 0.704) - Scopus 

8. Gunasekaran M, Gopalakrishnan B, 2020, “Quantum Key Distribution Based- on Refraction and Polarization Entanglement”, International Journal of Recent Technology and Engineering, vol. 8, no. 6, pp. 2911-2918, March 2020.

9. Priyadharshini K S, Gunasekaran M, 2020,” Energy Efficient Multipath Routing for Wireless Sensor Networks”, International Journal of Scientific and Technology Research, vol. 9, no. 2, pp. 2325-2329, February 2020. (Scopus)

10. Priya J and Gunasekaran M, 2020, “SSW: Smart Steering Wheel for Real – Time Heart Rate Monitoring of Drivers”, International Journal of Innovative Technology and Exploring Engineering”, vol. 9, no. 4, pp. 3040-3043, February 2020.

11. Prasanth T, Gunasekaran M, 2019, ‘Effective Big Data Retrieval Using Deep Learning Modified Neural Networks’, Mobile Networks and Applications, Springer, vol. 2019, no. 24, pp. 282-294, January 2019. (Impact Factor: 2.497) - SCI Indexed

12. Gunasekaran M, Gopalakrishnan B, Manikandan M, 2018, ‘EMDAI: An Emergency Message Diffusion for Accident Information in Vehicular Ad Hoc Networks’, International Journal of Recent Technology and Engineering, vol. 7, no. 4, pp. 187-197, November 2018. (Scopus)

13. S. Naveena, M. Gunasekaran, 2018, “Deep Learning for Pre-matured Divination of Diabetes”, Journal of Computational and Theoretical Nanoscience, vol. 15, no. 5, pp. 1739-1742, October 2018. (Scopus)

14. Prasanth T, Gunasekaran M, 2017, ‘A Mutual Refinement Technique for Big Data Retrieval using Hash Tag Graph’, Cluster Computing, Springer, vol. 2017, no. 22, pp. 2027-2037, August 2017. (Impact Factor: 2.040) – SCI Indexed

15. Gopalakrishnan B, Gunasekaran M, Purusothaman P, 2017, ‘Intra Group Key Management Scheme for Secure Data Exchange in Mobile Ad-Hoc Networks’, International Journal of Recent Engineering Research and Development, vol. 2, no. 9, pp. 40-46, September 2017.

16. Gunasekaran M, Sathishkumar P, 2017 ‘A Study on Big Data Integration with Enduring Computational Technologies in Transition towards Smart Learning Framework’, International Journal of Innovation and Advancement in Computer Science, vol. 6, no. 7, pp. 156-160.

17. Gunasekaran, M & Gopalakrishnan B, 2016, ‘STARP: Secured Trusted Anonymity-Based Routing Protocol in Mobile Ad Hoc Networks for Internet of Things’, Journal of Information Technology and Sciences, vol. 2, no.3, pp. 1- 10.

18. Gunasekaran, M & Gopalakrishnan B, 2016, ‘Privacy-Preserving Secure On- Demand Routing Protocol for Adversarial Environments’, Asian Journal of Research in Social Sciences and Humanities, vol. 6, no.11, pp. 218-236, November 2016.

19. Ramkumar S & Gunasekaran, M 2016, ‘Secure Communication using Elliptic Curve Cryptography on Android Devices’, South Asian Journal of Engineering and Technology, vol. 2, no.20, pp. 11-13.

20. Gunasekaran, M & Premalatha, K 2014, ‘An Anonymity-Based Secure On- Demand Routing for Mobile Ad Hoc Networks’, International Journal of Computer, Information Science and Engineering, World Academy of Science, Engineering and Technology, vol. 8, no.1, pp. 94-103.

21. Gunasekaran, M & Premalatha, K 2013, ‘TEAP: Trust Enhanced Anonymous On-Demand Routing Protocol for Mobile Ad Hoc Networks’, IET Information Security, vol. 7, no. 3, pp. 203-211. (Impact Factor: 1.037) – SCI Indexed

22. Gunasekaran, M & Premalatha, K 2013, ‘SPAWN: A Secure Privacy- Preserving Architecture in Wireless Mobile Ad Hoc Networks’, EURASIP Journal on Wireless Communication and Networking, Springer Open Journal, vol. 2013, no. 1, pp. 1-12. (Impact Factor: 1.529) – SCI Indexed

23. Gunasekaran, M & Premalatha, K 2013, ‘POR: Privacy-Preserving On- Demand Routing Scheme to Mitigate Malicious Nodes in Mobile Ad Hoc Networks’, International Journal of Computer Applications, vol. 82, no. 10, pp. 42-48. (Impact Factor: 0.821)

24. M. Gunasekaran, K. Premalatha and B. Gopalakrishnan, “A Survey on DoS Attacks and Countermeasures in Mobile Ad Hoc Networks”, International Journal of Advanced Research in Computer Science, vol. 1, no. 4, pp. 156- 164, Nov- Dec 2010.

25. M. Gunasekaran, P. Sampath and B. Gopalakrishnan, “AAS: An Authenticated Acknowledgement-Based Scheme for Preventing Selfish Nodes in Mobile Ad Hoc Networks”, International Journal of Recent Trends in Engineering (Computer Science), vol.1, no.1, pp. 294-298, July 2009.

SCI / WOS JOURNAL PUBLICATIONS

1. Image Analysis and Classification Using HRSVM-CNN for Land-Cover Classification by Using Remote Sensing Images, 2024,  G Vinuja, NB Devi, GAA Mary, Indian Journal of Science and Technology 17 (12), 1129-1142

2. A New Design of Custom Optimized CNN-LSTM Assists to Detect Network Anomaly Using Categorical Data, 2024, NB Devi, R Kanmani, E Sivanantham, R Ramya, G Vinuja, Journal of Electrical Systems 20 (3), 1812-1822

3. Bharatha Devi. N, B B Beenarani, E. Sivanantham 2023 ‘Satellite Image Detection and Classification using Hybrid Segmentation and Feature Extraction with Probabilistic Neural Network’, Earth Science Informatics, ISSN 1865 0473, (Impact Factor : 2.7) – PUBLISHED

4. G. Vinuja, Bharatha Devi. N 2023, ‘Multitemporal hyperspectral satellite image analysis and classification using fast scale invariant feature transform and deep learning neural network classifier’, Earth Science Informatics, ISSN 1865 0473, https://doi.org/10.1007/s12145-023-00948-2 (Impact Factor: 2.87) - PUBLISHED

5. Vinuja G, Bharatha Devi. N, 2023 ‘Image Analysis and Classification using HRSVM-CNN for Landcover Classification using Remote Sensing Images’, Indian Journal of Science and Technology (Impact Factor: 0.159) – PUBLISHED

6. Aloy Anuja Mary G, Sathyasri B, Murali. K, Bharatha Devi.N, 2023 ‘Electrocardiogram Signal Classification in an IOT Environment using Adaptive Deep Neural Networks’, Neural Computing and Applications, (Impact Factor : 5.102) – PUBLISHED

7. Alice K, Deepa N, Devi T, Beenarani B B, Bharatha Devi. N, Nagaraju. V, 2023 ‘Effect of Multi Filters in Glucoma Detection using Random Forest Classifier’, Measurement: Sensors, https://doi.org/10.016/j.measen.2022.100566- PUBLISHED

8. Aloy Anuja Mary. G, Bharatha Devi.N Murali, B B Beenarani, 2023, ‘Diagnosis of Brain Tumor Detection system using MRI Images based on Hybrid Cascade Deep Network Architecture’, Medical Imaging Process and Technology – PROOF READING DONE

9. K Kala, US Kumar, KY Devi, BSC Kapali, NB Devi, 2023, “Optical Biosensor manufacturing for Chronic Lymphocytic Leukemia Biomarker Detection with Walled Carbon Nanotubes-based Multi Electrodes”, Surfaces and Interfaces (Impact Factor : 6.2) – PUBLISHED

10. M. Vanitha Lakshmi, G. Aloy Anuja Mary, I Chandra, Bharatha Devi. N, Ravindra , Pravin , Mahseena, 2023, ‘A New Framework of Software Defined Enabled Networks with VGG-16 Net Based BAT Technique for VANET’, Discover Computing (Impact Factor : 1.7) – REVIEWS COMPLETED

11. Bharatha Devi. N, 2022, ‘Satellite Image Retrieval of random forest (rf-PNN) based Probabilistic Neural Network’, Earth Science Informatics, ISSN 1865 0473, 10.1007/s12145-021-00759-3 (Impact Factor: 2.87) – PUBLISHED

12. Bharatha Devi. N, Celine Kavida. A & Murugan. R 2022, ‘Feature Extraction and Object Detection using FAST Convolutional Neural Network for Remote sensing Satellite image’, Journal of the Indian Society of Remote Sensing, ISSN 0974 3006, https://doi.org/10.1007/s12524-022-01506-x (Impact Factor: 1.56) - PUBLISHED

SCOPUS PUBLICATIONS

13. An effective approach to detect aquatic debris in ocean surfaces using AlexNet algorithm in comparison with gradient boosting algorithm, TM Kamal, NB Devi, V Karpagam, A Deepak, S Mac, CY Lau, AIP Conference Proceedings 3161 (1)

14. Detection of fake reviewer groups in product reviews using novel bidirectional encoder revolutionary transformer compared with stochastic gradient descent, K. Karthikeyan, B. N. Devi, C. H. C. Alexander, AIP Conf. Proc. 3161, 020189 (2024)

15. Multi-Modal Integration for Motor Imagery EEG Signal Classification Combining with DNN and Functional Near-infrared Spectroscopy, NB Devi, SR Devi, R Ramya, V Jayasudha, G Vinuja, 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)

16. Mitigating Ground Bounce Noise With Super Stacking Structure For Energy Efficient Mpsoc, NB Devi, R Ramya, G Vinuja, SR Devi, M Meikandan, 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS).

17. Optimizing the Tensile and Flexural Properties of Flax/Sisal with SiO2 Nanocomposites Using Response Surface Methodology, M. Vanitha Lakshmi, G. Aloy Anuja Mary, I. Chandra, E. Sivanantham, N. Bharatha Devi, J. Environ. Nanotechnol., Volume 13, No 3 (2024) pp. 271-281

18. Nano-structured Molybdenum Trioxide Nano-hybrid based Conductive Platform for Breast Cancer Detection, 2024, NB Devi, B Satyasri, R Ramya, R Kanmani, G Vinuja, J. Environ. Nanotechnology, 13 (2), 418-426

19. Medical Remote Sensing and Internet of Things for Detection of Epileptic Seizure Using Deep Neural Networks, 2024, Vinuja, G., Devi, N.B. International Conference on Distributed Computing and Optimization Techniques, ICDCOT 2024.

20. Detection and Classification of Satellite Remote Sensing Images Using Hybrid Segmentation and Feature Extraction with Effective Algorithms, 2024, Vinuja, G., Devi, N.B. International Conference on Distributed Computing and Optimization Techniques, ICDCOT 2024.

21. CNN Shines in Brain Tumor Detection: Insights from Deep Learning, 2023, NB Devi, R Ramya, AN Ahamed, S Lekashri, G Vinuja, IEEE International Conference on Integrated Intelligence and Communication Systems.

22. IoT Based Epilepsy Patient Monitoring System To Analyze Various Medical Parameter(S) Abhishek Sebastian1 ,R.Pragna , V.R. Balaji, Bharatha Devi N, R.Aswin and K.S Geetha, AIP Conf. Proc. 2946, 060009 (2023) https://doi.org/10.1063/5.0178124

23. Remote Sensing Evaluation of Environmental Factors for Disease Prediction by RS-GIS, G Vinuja, NB Devi, 2023, IEEE International Conference on Evolutionary Algorithms and Soft Computing Techniques

24. Improved Prediction Accuracy of House Price Using Decision Tree Algorithm over Linear Regression Algorithm, P Chandu, NB Devi, 2023, IEEE Eighth International Conference on Science Technology Engineering and Mathematics

25. Detection of Plant Disease using ResNet framework in Comparison with Neural Network Classifier to Improve Classification Accuracy, N Chandu, NB Devi, 2023, IEEE Eighth International Conference on Science Technology Engineering and Mathematics

26. An Effective Analysis of Palm Print Detection Using SVM over ANN with Improved Accuracy, E Apoorva, NB Devi, 2023, IEEE International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering

27. Application and Result Analysis of Forest Fire Image Retrieval by Weighted Brownian Motion-Based Monarch Butterfly Optimization, G Vinuja, NB Devi, 2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE)

28. Bharatha Devi. N, V.R. Balaji, B B Beenarani, K Kala 2022 ‘Traffic Light Detection and Control with connected Vehicle for Automated Car using ML Algorithm’, International Journal of Health Sciences, https://doi.org/10.53730/ijhs.v6ns7.13115 

29. An Efficient Quality Analysis of Rice Grains Using Support Vector Machine Over Random Forest With Improved Accuracy, Shaik Imam Rahaman Basha, N. Bharatha Devi, 2023, European Chemical Bulletin, 12 (S1), 4389– 4395

30. Medical Remote Sensing And Internet Of Things For Detection Of Epileptic Seizure Using Deep Neural Networks G. Vinuja, N. Bharatha Devi, 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)

31. An Efficient Quality Analysis of Rice Grains Using Novel Support Vector Machine Over K-Nearest Neighbor With Improved Accuracy, Shaik Imam Rahaman Basha, N. Bharatha Devi, 2023, European Chemical Bulletin, 12 (S1), 4375 – 4381

32. Detection and Classification of Satellite Remote Sensing Images Using Hybrid Segmentation And Feature Extraction With Effective Algorithms G. Vinuja, N. Bharatha Devi, 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)

33. Prediction of Breast Cancer Using Novel Multi Layer Perceptron in Comparison with Support Vector Machine to Improve Accuracy, S. Iyswarya Lakshmi, N. Bharatha Devi, 2023, European Chemical Bulletin, 12 (S1), 4680 – 4685

34. Detection of Plant Disease using ResNet Framework in Comparison with Support Vector Machine to Improve Classification Accuracy, Nindra Chandu, N. Bharatha Devi, 2023, European Chemical Bulletin, 12 (S1), 3475 – 3481

35. An Efficient Quality Analysis of Rice Grains Using Support Vector Machine Over Convolutional Neural Network With Improved Accuracy, Shaik Imam Rahaman Basha, N. Bharatha Devi, 2023, European Chemical Bulletin, 12 (S1), 4382 – 89.

1. A Real-Time Monitoring Tool for Analyzing Ethereum Digital Currency in Global Business Transaction Logu, K., Devi, T., Deepa, N., Gayathri, N., Rakesh kumar, S.EAI/Springer Innovations in Communication and Computing, 2022, pp. 167–188.

2. Hospital appointment prediction using classification of big data Adi Narayana, G., Stewart Kirubakaran, K., Logu, K. Test Engineering and Management,   2019, 81(11-12), pp. 5439–5442.

3. Blockchain-Based Decentralized Applications in Secure Transaction using Digital Trust Signature Berlin Sujo, K., Logu, K., Jaisharma, K. Test Engineering and Management, 2019, 81(11-12), pp. 5592–5599.

4. Auditing and compilations sharing with sensitive information bidding for secured cloud storage Sasank, P., Logu, K. Test Engineering and Management,     2019, 81(11-12), pp. 5566–5570.

5. Massive random access in automobile-to-automobile communications using honey-bee algorithm Logu, K., Vani, B. International Journal of Engineering    and Advanced Technology, 2019, 9(1), pp. 7063–7068.

6. Server to client communication for web usage using knowledge mining Anvesh, K.N., Subramanian, E.K., Logu, K. Test Engineering and Management,     2019, 81(11-12), pp. 5423–5428.

1. P. Suresh, R. H. Aswathy, Veena Divya Krishnappa & P. M. Rajasree (2024),” Efficient IoT -Machine Learning Based Smart Irrigation Using Support Tree Algae Algorithm”, IETE Journal of Research, DOI: 10.1080/03772063.2024.2319707 (SCI Indexed)

2. Suresh, P, G. Jenifa, S. Srithar, G. Johncy, and R. H. Aswathy. "ASI (Agriculture Smart Irrigation) Multiparameter Optimization System for Precision Agriculture" International Journal of Intelligent Systems and Applications in Engineering 12, no. 8s (2024): 326-333. (Scopus Indexed)

3. R.H., Aswathy & S., Srithar & Dayana, K. & Padmavathi, Padmavathi & P Suresh (2023), “MIAS: An IoT based Multiphase Identity Authentication Server for Enabling Secure Communication”, Journal of Internet Services and Information Security. 13. 114-126. 10.58346/JISIS.2023.I4.008. (Scopus Indexed)

4. Naik, N., Suresh, P., Yadav, S., Nisha, M. P., Arias-Gonzáles, J. L., Cotrina-Aliaga, J. C., ... & Kunjibettu, A. B. (2023). “A Review on Composite Materials for Energy Harvesting in Electric Vehicles”. Energies, 16(8), 3348. (SCIE Indexed), (IF: 3.252).

5. Karthikeyan, B., R. Mohanasundaram, P. Suresh, and J. Jagan Babu. "Deep learning and machine learning based air pollution prediction model for smart environment design planning." (2023), Global NEST Journal, Vol 25, No 5, pp 11-19. (SCI Indexed), (IF: 1.134).

6. Muruganandam, S., Joshi, R., Suresh, P., Balakrishna, N., Kishore, K. H., & Manikanthan, S. V. (2022).  “A deep learning based feed forward artificial neural network to predict the K-barriers for intrusion detection using a wireless sensor network”. Measurement: Sensors, 100613. (Scopus Indexed).

7. Suresh, P., K. Justin Jayaraj, V. C. Aravintha Prasad, Abishek Velavan, Gokulnath." Deep Learning for Covid-19 Identification: A Comparative Analysis". International Research Journal on Advanced Science Hub 4, no. 11 (2022).

8. Suresh, P., S. Maheshwaran, R. Pavithra, and N. Monisha. "Autonomous Home Gardening System Using IOT." Journal of Survey in Fisheries Sciences 10, no. 2S (2023): 1093-1099. (Scopus Indexed).

9. Priyankadevi.A.M, Suresh, P and Aswathy R H, "AGRIMART: An E-Platform for Agro Products with Voice based Chat Bot," 2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), Bangalore, India, 2022, pp. 1-5, doi: 10.1109/ICATIECE56365.2022.10047116. (Scopus Indexed).

10. Suresh P, Aswathy R H,  Sridevi Arumugam,  Amani Abdulrahman Albraikan, Fahd N. Al-Wesabi,  Anwer Mustafa Hilal and Mohammad Alamgeer, “IoT with Evolutionary Algorithm Based Deep Learning for Smart Irrigation System”, CMC-Computers, Materials & Continua, 71(1), 1713–1728., DOI:10.32604/cmc.2022.021789, (SCIE Indexed), (IF: 3.772)

11. R. Gopi, P. Muthusamy, P. Suresh, C. G. Gabriel Santhosh Kumar, Irina V. Pustokhina, Denis A. Pustokhin, K. Shankar,“Optimal Confidential Mechanisms in Smart City Healthcare”, CMC-Computers, Materials & Continua, vol.70(3), pp.4883-4896, DOI:10.32604/cmc.2022.019442, (SCIE Indexed), (IF: 3.772).

12. R. H. Aswathy, P. Suresh, Mohamed Yacin Sikkandar, S. Abdel-Khalek, Hesham Alhumyani, Rashid A. Saeed, Romany F. Mansour, “Optimized Tuned Deep Learning Model for Chronic Kidney Disease Classification”, CMC-Computers, Materials & Continua, Vol.70(2), pp.2097-2111, DOI:10.32604/cmc.2022.019790, (SCIE Indexed), (IF: 3.772).

13. A. Sheryl Oliver, P. Suresh, A. Mohanarathinam, Seifedine Kadry, Orawit Thinnukool, “Optimal Deep Dense Convolutional Neural Network Based Classification Model for COVID-19 Disease”, CMC-Computers, Materials & Continua, Vol.70(1),pp.2031-2047, DOI:10.32604/cmc.2022.019876, (SCIE Indexed), (IF:3.772).

14. G. Mani, T Shanthi, N. R. Nagarajan, Bharatiraja Chokkalingam, Suresh P, Anuradha Muthukrishnan, “Intrusion Detection System for Big Data Analytics in IoT Environment”, Computer Systems Science and Engineering, Vol.43(1), pp.381-396, DOI:10.32604/csse.2022.023321, (SCIE Indexed), (IF:1.486).

15. Suresh, P., K. Sujith, G. Thilak, and K. Sakthivel. "Advanced Automated Crop Predictive Irrigation System”, An Ambient Communications and Computer Systems, pp. 267-277. Springer, Singapore, 2022. (Scopus Indexed).

16. R.H.Aswathy, P. Suresh, K. Roslin Dayana, P.Robert ,“Multiparameter Optimization Technique Based on Enhanced Neuro Genetic Model (ENGM) for Precision Agriculture”, Journal of Computation and Theoretical nano science (ASP), DOI:https://doi.org/10.1166/jctn.2021.9703, (Scopus Indexed).

17. P. Suresh, S. Koteeswaran, R.H.Aswathy, “Closed-Loop Irrigation Decision Support System: An Internet of Things Based Closed Loop Irrigation Decision Support System for Precision Agriculture Using Machine Learning”, Journal of Computation and Theoretical nano science (ASP),DOI: https://doi.org/10.1166/jctn.2021.9689, (Scopus Indexed)

18. Suresh, P., P. Robert, and A. Padmavathi. "Deep Learning Applications and Perspectives: COVID 19”, Advances in Computing, Communication, Automation and Biomedical Technology,pp. 487 – 490, (Scopus Indexed).

19. Suresh P, Aswathy RH, Jeeva Kumar VK, Gowtham R, Gopalakrishnan T,“E-Agronomy: Smart Irrigation Decision Making System Using  Machine Learning In Precision Agriculture”,Turkish online Journal of Qualitative Inquiry, Volume 12,Issue 3,June 2021, (Scopus Indexed).

20. Robert, P., Velmurugan, A. K., Suresh, P., & Kumar, A. S. (2021). Analysis And Comparison Of Various Machines Learning Algorithm For Credit Card Fraud Detection. Design Engineering, 493-507.

21. P.Suresh , S.Koteeswaran , R.H.Aswathy, N. Malar vizhi , C.Balamurugan, “An IoT based Innovative Irrigation Model for Smart and Precision Agriculture”, Tierärztliche Praxis ISSN: 0303-6286 Vol 39, Issue 11.

22. R.H.Aswathy, P Suresh, N.Malarvizhi, M.Akila, “The Performance Evaluation Of Transport Layer Protocol In Constrained Environment Of IoT”, International Journal of Civil Engineering and Technology (IJCIET) Volume 8, Issue 12, December 2017, pp. 243–258, Article ID: IJCIET_08_12_028, (Scopus Indexed)

23. Suresh, P., and S. Koteeswaran. "An effective novel IOT framework for water irrigation system in smart precision agriculture." International Journal of Innovative Technology and Exploring Engineering 8, no. 6 (2019): 558-564. (Scopus Indexed).

24. Suresh, P., S. Koteeswaran, N. Malarvizhi, and R. H. Aswathy. "Internet of things (IoT): a study on key elements, protocols, application, research challenges, and fog computing." Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science (2018): 124-148., (Scopus Indexed).

25. Suresh, P., and S. Koteeswaran. "Conclave of Internet of Things for Smart Applications: A concise Review." International Journal of Engineering & Technology 7, no. 2.19 (2018): 36-40. (Scopus Indexed).

26. Suresh, P.,Sowkarthika,D., Praveena,S., and Ramya,S., "A Review on Artificial Conversations for Chatbots: Architecture and Algorithms." International Journal of Innovations in Engineering Research and Technology 6, no. 2 (2019): 1-7.

27. P.Suresh et.al.,(2017), “Ri-Mada: An Effective Ring Model Approach To Defend Distributed-Dos Attack”,IJPT| April-2017| Vol. 9 | Issue No.1 | 28272-28279  ISSN: 0975-766X. (Scopus Indexed).

28. Siva, S., P. Suresh, S. Seeba Merlin, and R. Punidha. "A Smart heart rate sensing system in the internet of Internet of Things." IJCTA 9, no. 9 (2016): 3659-3663. (Scopus Indexed)

29. Rajapriya, S., M. Shifa Parveen, S. V. Vasunthra, S. Vinu Bharathi, and P. Suresh. "An IoT Based Self Propelled Irrigation System for Agriculture”, Journal of Critical Reviews 7, no. 8 (2020). (Scopus Indexed).

30. P.Suresh et,al,,“Privacy Preserving Chatting in Vehicular Peer-to-Peer Networks, International   Journal Of Pure And Applied Research In Engineering And Technology”, ,ISSN :2319-507X ,Volume 2, Issue 1 ,August  2013 and Page No:26-35.

31. P.Suresh, (2013),”Enhanced Intrusion Detection Systems for Discovering Malicious Nodes in Mobile ad hoc Network”, International Journal of Electronic Governance and Research, Vol 2 Issue 4 May 2013,ISSN 2319 – 8451.

32. P.Suresh, “High Performance Burst Transmission in OBCS Networks”, International Journal for Scientific Research and Development (IJSRD) Volume : 3, Issue : 2 ISSN 2321 – 0613

33. P.Suresh, “Multiclass Routing and Medium Access Control for Heterogeneous Mobile Ad hoc Networks”,International Journal of Computers and Distributed Systems, ISSN :2278-5183 ,Volume 3, Issue 1 ,April-May 2013 and Page No:8-14”.

34. P. Suresh, J. Vijay Daniel ,RH Aswathy, Dr.V.Parthasarathy, (2015),“A state of the art review on the Internet of Things (IoT) history, technology and fields of deployment”, ICSEMR,IEEE,INSPEC Accession Number: 14935101, DOI: 10.1109/ICSEMR.2014.7043637, (Scopus Indexed)

35. Tamizharasi, A, Suresh.P, "Bio Inspired Approach for Generating Test data from User Stories”, Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 412-419.DOI:https://doi.org/10.17762/turcomat.v12i2.826 (Scopus Indexed)

SCI Journal Publications:

1. Ramya, Rajendran, and Thangavel Swaminathan Sivakuaran. "An efficient RFCSA control strategy for PV connected quasi Z‐source cascaded multilevel inverter (QZS‐CMI) system." International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 33.1 (2020): e2660.

2. Balamurugan, A., Shunmugakani, S., Ramya, R., & Saravanan, S. (2024). Fault Diagnosis of Three-Phase Induction Motor (IM) Using a Hybrid ELSE-RNN Technique. IETE Journal of Research, 1-10.

Scopus Publications :

3. Ramya, R., & Sivakumaran, T. S. (2020, March). Design and control strategies of quasi–z source inverter for photovoltaic power generation systems. In 2020 5th International Conference on Devices, Circuits and Systems (ICDCS) (pp. 262-266). IEEE.

4. Devi, N. B., Satyasri, B., Ramya, R., Kanmani, R., & Vinuja, G. (2024). Nano-structured Molybdenum Trioxide Nano-hybrid based Conductive Platform for Breast Cancer Detection. J. Environ. Nanotechnol, 13(2), 418-426.

5. Mary, G. A. A., Uma, P., Ramya, R., Sunitha, T., & Devi, S. R. (2024). Characterization of Mechanical Properties of Ramie/SiO2 Hybrid Composite by Incorporation of Kenaf Fiber. J. Environ. Nanotechnol, 13(3), 449-455.

6. Annapandi, P., Ramya, R., Kotaiah, N. C., Rajesh, P., & Subramanian, A. (2023). Optimal energy management system for the design of off grid hybrid renewable energy systems: A hybrid technique. Journal of Intelligent & Fuzzy Systems, 44(2), 2593-2614.

7. Kumar, C. A., Gnanasekar, A., Ramya, R., Narmatha, S. U., Arunadevi, R., & Ravi, C. N. (2024, April). Exploring the Experimental Possibilities of AI based Real-Time Virtual Reality Assisted Touchless Home Appliance Control. In 2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS) (pp. 1-6). IEEE..

8. Saravanan, V., Lekashri, S., Jayasudha, V., Ramya, R., & Nivedha, M. (2023, November). Performance Evaluation of Denial of Service Attack Detection in Cloud Computing Environments. In 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS) (pp. 1-5). IEEE.

9. Devi, N. B., Ramya, R., Ahamed, A. N., Lekashri, S., & Vinuja, G. (2023, November). CNN Shines in Brain Tumor Detection: Insights from Deep Learning. In 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS) (pp. 1-6). IEEE.

10. Ramya, R., et al. "Energy efficient enhanced LEACH protocol for IoT based applications in wireless sensor networks." 2022 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2022.

11. Ramya, R., et al. "Z Source Integrated Sepic Converter With Fuzzy Control For Grid Connected PV System." 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT). Vol. 1. IEEE, 2024.

12. Nirmaladevi, K., Nagarajan, A., Tamizharasi, A., Ramya, R., Allirani, P., & Reddy, M. S. (2024, August). Exploring the Hidden Potential of Cyber Security Oriented Intelligent Data Hiding in Encrypted Images. In 2024 First International Conference on Electronics, Communication and Signal Processing (ICECSP) (pp. 1-5). IEEE.

13. Ramya, R., Yazhini, A., Geetha, T., Devi, R. S., Kavin, K. S., & Dhanalakshmi, S. (2024, August). Chaotic Particle Swarm Optimization Based Shortest Path Routing in VANET. In 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT) (Vol. 1, pp. 1405-1409). IEEE.

14. Vinuja, G., Saravanan, V., Maharajan, K., Jayasudha, V., & Ramya, R. (2024). Diagnostic Device for Sustainable Medical Care Using Hyperspectral Imaging. In Emerging Advancements in AI and Big Data Technologies in Business and Society (pp. 128-142). IGI Global.

15. Chitra, K., Gnanasekar, A., Ravi, C. N., Jaisudha, J., Ramya, R., & Jithendar, P. (2024, August). A Comprehensive Evaluaion of Solar Powered Electric Vehicle Charging Station Design Using Internet of Things. In 2024 First International Conference on Electronics, Communication and Signal Processing (ICECSP) (pp. 1-6). IEEE.

16. Saravanan, V., Ramya, R., Sajitha, M. S., & Meikandan, M. (2024, August). Collision Detection Based Neighbor Discovery for Wireless Networks using Maximum Weighted Spanning Tree Algorithm. In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) (pp. 1-6). IEEE.

17. Ramya, R., Hussein, A. H. A., Adnan, M. M., Shilpa, N., & Priya, S. (2023, November). Intrusion Detection in Healthcare using Sand-Cat Optimization based Long-Short Term Memory. In 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS) (pp. 1-5). IEEE.

18. Devi, N. B., Ramya, R., Vinuja, G., Devi, S. R., & Meikandan, M. (2024, August). Mitigating Ground Bounce Noise With Super Stacking Structure For Energy Efficient Mpsoc. In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) (pp. 1-5). IEEE.

19. Devi, N. B., Devi, S. R., Ramya, R., Jayasudha, V., & Vinuja, G. (2024, August). Multi-Modal Integration for Motor Imagery EEG Signal Classification Combining with DNN and Functional Near-infrared Spectroscopy. In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) (pp. 1-7). IEEE.

20. Rajasubha, J., Ramya, R., Juliet, A. H., Janakiraman, V., Devi, S. R., & Karuppaiah, S. (2024, April). An Industrial IoT Driven Approach for Sewage Gas Identification and Reporting System using Intelligent Sensors with Logical Controller. In 2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS) (pp. 1-6). IEEE.

21. Ramya, R., Yahya, M., Adnan, M. M., Reddy, R. A., & Velumani, J. (2023, November). Automatic Skin Cancer Segmentation and Classification using Fuzzy C-means Clustering-based Convolutional Neural Network. In 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS) (pp. 1-5). IEEE.

22. Kumar, R. T., Sireesha, G., Sakthidhasan, K., Permila, T. R., Ramya, R., & Subasini, P. T. (2024, February). Interleaved Luo Converter for PV Based BLDC Vehicle System. In 2024 2nd International Conference on Computer, Communication and Control (IC4) (pp. 1-6). IEEE.