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List of Publication : JOURNALS
[1] Seshu Chakravarthy T, Lokesh S, 2024, ‘HIKS: A K-shell-weighted hybrid approach method for detecting influential nodes in complex networks using possible edge weights’. International Journal Communication Systems., e5722. https://doi.org/10.1002/dac.5722 [ AU Annexure I]
[2] Selvakumar K and Lokesh S 2024, ‘A cryptographic method to have a secure communication of health care digital data into the cloud’, Automatika: Journal for Control, Measurement, Electronics, Computing, and Communications, vol.65, no.1, pp. 373-386, ISSN: 51144. https://doi.org/10.1080/00051144.2023.2301240 [ AU Annexure I]
[3] M. Ramya Devi & S. Lokesh, 2024, ‘Intelligent accident detection system by emergency response and disaster management using vehicular fog computing’, Automatika, 65:1, 117-129, https://doi.org/10.1080/00051144.2023.2288483 [ AU Annexure I]
[4] Thota Seshu Chakravarthy & Lokesh. Selvaraj 2023, 'NNPEC:Neighborhood node propagation entropy centrality is a unique way to find the influential node in a complex network', Concurrency and Computation Practice & Experience, vol. 35, no. 12, p. e7685.
https://doi.org/10.1002/cpe.7685 [ AU Annexure I]
[5] Gnanendra Kotikam & Lokesh Selvaraj, 2023, ‘Golden eagle based improved Att-BiLSTM model for big data classification with hybrid feature extraction and feature selection techniques’, Network: Computation in Neural Systems, https://doi.org/10.1080/0954898X.2023.2293895 [ AU Annexure I]
[6] Krishna Kumar L. & Lokesh S, 2023, ‘Jacobian linear regression and Tate Bryant Euler angle enabled autonomous vehicle LiFi communication sustained IOT’, Automatika, 64:4, 1095-1106, https://doi.org/10.1080/00051144.2023.2247910 [ AU Annexure I]
[7] Gnanendra Kotikam & S. Lokesh, 2023, ‘Big Data Classification Using Enhanced Dynamic KPCA and Convolutional Multi-Layer Bi-LSTM Network’, IETE Journal of Research, https://doi.org/10.1080/03772063.2023.2173667 [ AU Annexure I]
[8] Aramuthakannan, S. & Devi, M. & Selvaraj, Lokesh & Ravi, Kumar. 2023. ‘Movie recommendation system using taymon optimized deep learning network’. Journal of Intelligent & Fuzzy Systems. 45. 1-16. DOI: 10.3233/JIFS-231041 [ AU Annexure I]
[9] M. Ramya Devi, I. Jasmine Selvakumari Jeya S. Lokesh (2023) Adaptive scheduled partitioning technique for reliable emergency message broadcasting in VANET for intelligent transportation systems, Automatika, 64:2, 341-354, https://doi.org/10.1080/00051144.2022.2140392 [ AU Annexure I]
[10] S. Aramuthakannan, M. Ramya Devi, S. Lokesh, and R. Manimegalai. 2023. ‘Movie recommendation system via fuzzy decision making based dual deep neural networks’. Journal of Intelligent & Fuzzy Systems, 44, 3 (2023), 5481–5494. https://doi.org/10.3233/JIFS-222970
[ AU Annexure I]
[11] R. Jayaraj and S. Lokesh, 2023 "Automatic image annotation using adaptive convolutional deep learning model," Intelligent Automation & Soft Computing, vol. 36, no.1, pp. 481–497. https://doi.org/10.32604/iasc.2023.030495
[12] Kotikam Gnanendra, Selvaraj Lokesh, 2023 YARN Schedulers for Hadoop MapReduce Jobs: Design Goals, Issues and Taxonomy, Recent Advances in Computer Science and Communications; 16 (6). https://dx.doi.org/10.2174/2666255816666220831125012
[13] S. Lokesh, Sudeshna Chakraborty, Revathy Pulugu, Sonam Mittal, Dileep Pulugu, R. Muruganantham (2022), AI-based big data analytics model for medical applications,Measurement: Sensors,Volume 24, 100534, ISSN 2665-9174. https://doi.org/10.1016/j.measen.2022.100534
[14] G. Srinivasa Sudharsan, R. Venkatasubramanian, N. Hemalatha, Radhika G. Deshmukh, Mohana Alanazi, Ahmad Almadhor, S. Lokesh, Karthikeyan N., M. Sudhakar (2022), Power yield improvement of wind turbine and fatigue load mitigation using predictive-based Active flow controller, Energy Reports, Volume 8, Supplement 8, Pages 989-998,ISSN 2352-4847, https://doi.org/10.1016/j.egyr.2022.10.285.
[15] Dillip Narayan Sahu Prasath Alias Surendhar S, S. Lokesh, Krishnakumar. N.J, T Vandarkuzhali (2022). Classification of EEG signals using machine learning and deep learning techniques, International Journal of Health Sciences, vol. 6, issue 1, 10794– 10807, https://doi.org/10.53730/ijhs.v6nS1.7595
[16] Lokesh, S., Priya, A., Sakhare, D. T., Devi, R. M., Sahu, D. N., & Reddy, P. C. S.(2022). CNN based deep learning methods for precise analysis of cardiac arrhythmias. International Journal of Health Sciences, 6(S1), 10808–10819. https://doi.org/10.53730/ijhs.v6nS1.7596
[17] Lokesh, S., Aramuthakannan, S., Darshan, B. D., Lone, F. A., Velu, C. M., & Sucharitha, Y. (2022). Data Analytics Using Machine Learning For Iot-Enabled Healthcare Systems. Journal of Positive School Psychology, 6978-6985.
[18] Easwaran, B., Aramuthakannan, S., Lokesh, S., Kumar, R., Saikia, K. J., & Saikia, U. (2022). A Study on the Use of Data Science in Healthcare Applications and the Mathematical Issues in Data Science. JOURNAL OF ALGEBRAIC STATISTICS, 13(3), 2535-2541.
[19] Jeya, I. J. S. ., Lokesh, S. ., & Devi, M. R. . (2021). Secure and Authenticate Indexing of Medical Images Using Region of Non-Interest . Recent Developments in Medicine and Medical Research Vol. 6, 47–56. https://doi.org/10.9734/bpi/rdmmr/v6/12785D
[20] Selvakumar, K., Lokesh, S. The prediction of the lifetime of the new coronavirus in the USA using mathematical models. Soft Computing (2021). Springer https://doi.org/10.1007/s00500-021-05643-2
[21] R.E. Vinodhini, Lokesh S & K. Vimalkumar, (2020), Survey on Vehicle License Number Plate Detection, Jour of Adv Research in Dynamical & Control Systems, Vol. 12, 01- Issue.
[22] Sivakumar Krishnan, S. Lokesh, M. Ramya Devi, (2019) “An efficient Elman neural network classifier with cloud supported internet of things structure for health monitoring system”, Computer Networks, Volume 151, Pages 201-210. https://doi.org/10.1016/j.comnet.2019.01.034 [ AU Annexure I]
[23] Dr. S. Lokesh, Suvetha. S, Swathi. M, (2019), Online Adaptive Assessment Platform, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Technoscience Academy, https://doi.org/10.32628/CSEIT11951144, Volume 5, issue 2.
[24] S.Lokesh, Langesh.D & Prakash.K (2019), Enhanced Online Education System using Information and Communication Technologies, International Journal of Computer Science and Network, D-LAR Labs publisher, 2019,Volume 8,Issue 2, April 2019, PP 132- 137.
[25] Vijayarangam, S., Megalai, J., Krishnan, S. et al. (2018) “Vehicular Cloud for Smart Driving Using Internet of Things “ Journal Medical System 42: 240. https://doi.org/10.1007/s10916-018-1105-4[ AU Annexure I]
[26] Krishnan, S., Lokesh, S. & Ramya Devi, M. (2018) “Internet of things for knowledge administrations by wearable gadgets”, Journal Medical System 42: 230. https://doi.org/10.1007/s10916-018-1081-8 [ AU Annexure I]
[27] Ramya Devi M, Krishnan S, Lokesh S. (2018), An optimal Internet of Things–based smart cities using vehicular cloud for smart driving. Concurrency Computat Pract Exper. 2018; e5037. https://doi.org/10.1002/cpe.5037[ AU Annexure I]
[28] Lokesh, S., Kanisha, B., Nalini, S. et al. (2018) “Speech to speech interaction system using Multimedia Tools and Partially Observable Markov Decision Process for visually impaired students”, Multimed Tools Appl. PP.1-20, https://doi.org/10.1007/s11042-018-6264-2[ AU Annexure I]
[29] Priyan Malarvizhi Kumar, S. Lokesh, R. Varatharajan, Gokulnath Chandra Babu, P. Parthasarathy, Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier, Future Generation Computer Systems,2018, https://doi.org/10.1016/j.future.2018.04.036. [ AU Annexure I]
[30] Lokesh, S., Malarvizhi Kumar, P., Ramya Devi, M. et al. An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map Neural Comput & Applic (2018). https://doi.org/10.1007/s00521- 018-3466-5[ AU Annexure I]
[31] Kumar R, Lokesh S & Ramya Devi, M. (2018), Identifying Camouflaging
Adversary in MANET Using Cognitive Agents, Wireless Personal Communication, https://doi.org/10.1007/s11277-018-5378-1. [ AU Annexure I]
[32] Kanisha, B., Lokesh, S., Kumar, P.M. et al. Speech recognition with improved support vector machine using dual classifiers and cross fitness validation Pers Ubiquit Comput (2018). https://doi.org/10.1007/s00779-018-1139-0[ AU Annexure I]
[33] Lokesh, S. & Devi, M.R. Speech recognition system using enhanced mel frequency cepstral coefficient with windowing and framing method Cluster Comput (2017). https://doi.org/10.1007/s10586-017-1447-6[ AU Annexure I]
[34] Manikandan, T. Senthilkumar, Dr. S. Lokesh, M. Ramya Devi, " Opportunities and Challenges in Airborne Internet with Fly-In, Fly-Out Infrastructure", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4 Issue 4, pp.1464-1469, March-April 2018.
[35] T. Senthilkumar, B. Manikandan, M. Ramya Devi, S. Lokesh, "Technologies Enduring in Internet of Medical Things (IoMT) for Smart Healthcare System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3 Issue 5, pp. 566- 572, May-June 2018.
[36] M. Ramya Devi, S. Lokesh, B. Manikandan, T.Senthilkumar, "Vehicular Cloud Computing Based Intelligent Transportation System for Traffic Management and Road Safety", International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.970-975, 2018.
[37] Kumar, R., & Lokesh, S. (2015). “Fast and secure transmission of information among groups using a key management scheme”. International Journal of Computer Science and Mobile Computing, 4(11), 40–47.
[38] Selvaraj, L., and Ganesan, B. (2014) Enhancing speech recognition using improved particle swarm optimization based Hidden Markov Model. Scientific World J. DOI: 10.1155/2014/270576.
[39] S.Lokesh and G.Balakrishnan, "Speech Enhancement using Mel-LPC Cepstrum and Vector Quantization for ASR", European Journal of Scientific Research, vol.73,No.2, pp. 202-209, 2012.
[40] S. Lokesh, G. Balakrishnan, S. Malathy, and K. Murugan, “Computer
Interaction to human through photorealistic facial model for inter-process communication”, in International Conference on Computing Communication and Networking Technologies (ICCCNT), 2010, pp. 1-7.
[41] Lokesh, S & Balakrishnan, G, Accelerating Vector Quantization Algorithm for Codebook Design in Speech Recognition System, International Journal of Applied Engineering Research, republication, 2014, Vol. 1,No.10, pp. 43-45.
[42] S. Lokesh, S. Malathy, K. Murugan and, G. Sudhasadasivam (2010), Adaptive Slot Allocation and Bandwidth Sharing for Prioritized Handoff Calls in Mobile Networks, International Journal of Computer Science and Information Security, Vol.8 , 52-57.
[43] S.Lokesh and G.Balakrishnan, "Robust Speech Feature Prediction Using Mel-LPC to Improve Recognition Accuracy", Information Technology Journal, vol. 11, no.11, pp. 1644-1699, 2012.
[44] Lokesh, S & Balakrishnan, G, Fast Vector Quantization Codebook Generation Based on Observance Parameter and Improved Clustering Algorithm, Archives Des Sciences 2013, vol.66,no.2, pp.368- 376.
[45] Lokesh, S & Balakrishnan, G, Analysis of various Efforts to compensate for Automatic Speech Recognition Deficiencies in Spoken Dialogue System, Asian Journal of Information Technology, Medwell journals, 2013, vol.12, no.1, pp.1-13