| A comprehensive and systematic review of the network virtualization techniques in the IoT J Ramakrishnan, MS Shabbir, NM Kassim, PT Nguyen, D Mavaluru International Journal of Communication Systems 33 (7), e4331, 2020 | 64 | 2020 |
| A new efficient design for random access memory based on quantum dot cellular automata nanotechnology A Mubarakali, J Ramakrishnan, D Mavaluru, A Elsir, O Elsier, K Wakil Nano Communication Networks 21, 100252, 2019 | 46 | 2019 |
| Fog-based delay-sensitive data transmission algorithm for data forwarding and storage in cloud environment for multimedia applications A Mubarakali, AD Durai, M Alshehri, O AlFarraj, J Ramakrishnan, ... Big Data 11 (2), 128-136, 2023 | 28 | 2023 |
| Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network J Ramakrishnan, D Mavaluru, RS Sakthivel, AS Alqahtani, A Mubarakali, ... Neural Computing and Applications, 1-15, 2022 | 25 | 2022 |
| WITHDRAWN: An evolutionary study on the threats, trust, security, and challenges in SIoT (social internet of things) R Faqihi, J Ramakrishnan, D Mavaluru Materials today: proceedings, 2020 | 15 | 2020 |
| An enhanced network intrusion detection system for malicious crawler detection and security event correlations in ubiquitous banking infrastructure S Eswaran, V Rani, D Daniel, J Ramakrishnan, S Selvakumar International Journal of Pervasive Computing and Communications 18 (1), 59-78, 2021 | 10 | 2021 |
| Investigation of hybrid spectrum slicing-wavelength division multiplexing (SS-WDM) in transparent medium for mode division multiplexing applications AS Alqahtani, UA Kumar, J Ramakrishnan, P Parthasarathy, A Mubarakali, ... Optical and Quantum Electronics 55 (3), 243, 2023 | 9 | 2023 |
| A framework for fraud detection system in automated data mining using intelligent agent for better decision making process R Jayabrabu, V Saravanan, JJ Tamilselvi 2014 International Conference on Green Computing Communication and …, 2014 | 9 | 2014 |
| Classification of silicon (SI) wafer material defects in semiconductor choosers using a deep learning ShuffleNet-V2-CNN Model R Doss, J Ramakrishnan, S Kavitha, S Ramkumar, ... Advances in Materials Science and Engineering 2022, 1-12, 2022 | 8 | 2022 |
| A framework: Cluster detection and multidimensional visualization of automated data mining using intelligent agents R Jayabrabu, V Saravanan, K Vivekanandan arXiv preprint arXiv:1202.1945, 2012 | 8 | 2012 |
| High performance computation of human computer interface for neurodegenerative individuals using eye movements and deep learning technique J Ramakrishnan, R Doss, T Palaniswamy, R Faqihi, D Fathima, ... The Journal of Supercomputing, 1-21, 2022 | 7 | 2022 |
| Opinion mining using machine learning approaches: a critical study J Ramakrishnan, D Mavaluru, K Srinivasan, A Mubarakali, C Narmatha, ... 2020 international conference on computing and information technology (ICCIT …, 2020 | 7 | 2020 |
| Electrooculogram-aided intelligent sensing and high-performance communication control system for massive ALS individuals J Ramakrishnan, R Sivasakthivel, T Akila, M Retnadhas, TT Uthup The Journal of Supercomputing 77, 6961-6978, 2021 | 5 | 2021 |
| A. Kumar, ESR Gopal, P. Chandrasekhar and G. Ananthakrishna J Ramakrishnan, N Nagarajan J. Chem. Phys 68, 4098, 1978 | 5 | 1978 |
| Software agents paradigm in automated data mining for better visualization using intelligent agents R Jayabrabu, V Saravanan, K Vivekanandan Journal of Theoretical and Applied Information Technology 24, 167-177, 2012 | 4 | 2012 |
| Investigating the Impact of Strategic Planning on Targeting Production-oriented Organizations Using BSC J Ramakrishnan, D Mavaluru, A Mubarakali Journal of Management and Accounting Studies 7 (04), 61-67, 2019 | 2 | 2019 |
| A framework and implementation of an online research management system J Ramakrishnan, A Mahendran Indian Journal of Science and Technology, 2016 | 2 | 2016 |
| Prof. K. Vivekanandan,“A Framework: Cluster Detection and Multidimensional Visualization of Automated Data Mining Using Intelligent Agents” R Jayabrabu, DV Saravanan International Journal of Artificial Intelligence & Applications (IJAIA) 3 (1), 2012 | 2 | 2012 |
| A deep convolution neural network for automated COVID-19 disease detection using chest X-ray images R Thangaraj, P Pandiyan, J Ramakrishnan, R Nallakumar, S Eswaran Healthcare Analytics 4, 100278, 2023 | 1 | 2023 |
| IRIS PATTERN RECOGNITION: A QUANTITATIVE REVIEW ON HOW TO IMPROVE IRIS-BASED PATTERN RECOGNITION SECURITY SYSTEM G Malathi, D Mavaluru, K Srinivasan | 1 | 2020 |
Dr Dinesh MavaluruEducator, Saudi Electronic University || Microsoft Certified: Azure Data ScientistVerified email at seu.edu.sa
