Publications

Journal Publications

2025

Journal Publications

  1. Juliet, S. (2025). Machine ears: Audio frequency based automobile engine health analysis. Journal of Machine and Computing, 5, 197–208.
  2. Juliet, S. (2024). Diagnostic sonance: Sound-based approach to assess engine ball bearing health in automobiles. Przegląd Elektrotechniczny, 7, 72–76.
  3. Thanka, M. R. (2025). Neurolingua stress senolytics: Innovative AI-driven approaches for comprehensive stress intervention. International Journal of Intelligent Systems and Applications, 17, 1–14. (Pages inferred from “Jan-14”; update if different.)
  4. Vidhya, K. (2025). Hexa-mobile net for NOMA Rayleigh fading channel estimator via hexagonal pilot insertion. Ain Shams Engineering Journal, 16(4), 103317.
  5. Jenefa.A, Taurshia, (2025). Advancing road maintenance with EfficientDet-based pothole monitoring. Serbian Journal of Electrical Engineering, 22(1), 57–74.
  6. Thanka, M. R., & Ebenezer, V. (2025). Ensemble of deep learning models with Walrus Optimization Algorithm for accurate botnet recognition and classification. Iran Journal of Computer Science, Advance online publication. (Pages/volume not provided; add when available.)
  7. Taurshia, A., & Jenefa, A. (2024). DeepGAN: Utilizing generative adversarial networks for improved deep learning. (Journal unspecified; SAGE—indexed April 2025.) Manuscript in press / journal name needed.
  8. Kanaga, E. G. M. (2025). An innovative approach harmonizing convolution and self-attention to enhance EEG-based seizure detection. Neural Computing and Applications. Advance online publication. (Volume/pages not provided.)
  9. Thanka, M. R. (2025). Adaptive Neuro Transformers for stroke lesion segmentation: GatedNeuroTransUNet implemented using CNNs with bottleneck residual blocks. SN Computer Science, 6, 1–17. (Pages inferred from “Jan-17”; update if different.)
  10. Thanka, M. R., & Ebenezer, V. (2025). Comparative analysis of machine learning and deep learning models for classification and prediction of liver disease in patients with hepatitis C. Journal of Studies in Science and Engineering, 5, 110–132.
  11. Babu, N. V., & Kanaga, E. G. M. (2025). A novel framework for multiclass emotion detection using EEG signals with advanced preprocessing and explainable graph attention networks. International Journal of Computers and Applications. Advance online publication. (Volume/pages not provided.)
  12. Ebenezer, A. S. (2025). An effective multi-modality analysis for stress classification: A signal-to-image conversion using local pattern techniques. Computers in Biology and Medicine, 196.
  13. Vidhya, K.,Jenefa.A. (2025, February 5–7). EchoNet Dynamic: Deep learning-driven advancements in dynamic heart function analysis through echocardiography. In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Thi (conference name truncated in source), Bengaluru, India.
  14. Vidhya, K., R., & Shirley, C. P. (2025, February 5–7). MedFuseNet: Fusion of multi-modal data for improved cervical cancer diagnostic accuracy. In 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, Bengaluru, India.
  15. Jenefa, A., Vidhya, K., R., & Antony Taurshia, A. (2025, May 16–17). Secure message embedding with AES-GCM, LSB steganography, and quantum key distribution. In 3rd International Conference on Data Science and Information System (ICDSIS 2025), Chennai, India.
  16. Jenefa, A., Vidhya, K., R., & Stewart Kirubakaran, S. (2025, May 9–10). Enhancing emergency response with real-time video analytics for natural disaster management. In Proceedings of the 4th International Conference on Smart Technologies, Communication and Robotics 2025, Chennai, India.
  17. Jenefa, A., Emmanuel Joy, P., Stewart Kirubakaran, S., & Ebenezer, V. (2025, April 19–20). IWMS: Integrated workspace management system using centralized database. In AIP Conference Proceedings, Chennai, India.
  18. Jenefa, A., Vidhya, K., & R. (2025, June 4–6). TabNet fusion framework for explainable multi-omics Alzheimer’s disease classification. In Proceedings of the 2025 3rd International Conference on Inventive Computing and Informatics, Bangalore, India.
  19. Jenefa, A., Vidhya, K., R., & Stewart Kirubakaran, S. (2025, June 11–13). Enhancing diagnostic precision: Advanced neural networks for sleep disorder classification. In Proceedings of the 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSS), Coimbatore, India.
  20. Jenefa, A., Vidhya, K., R., & Santhiya, P. (2025, June 11–13). Deep learning handwritten text recognition from ancient manuscripts using hybrid CNN-Transformer with PARSeq model. In Proceedings of the 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSS), Coimbatore, India.
  21. Jenefa, A., Ebenezer, V., & Shirley, C. P. (2025, June 17–19). Enhancing wildlife monitoring: Real-time alerts through email and messaging. In Proceedings of the 6th International Conference on Intelligent Communication Technologies and Virtua (conference name truncated in source), Tirunelveli, India.
  22. Jenefa, A., Ebenezer, V., & Shirley, C. P. (2025, June 17–19). AI-based carbon footprint tracking and reduction. In Proceedings of the 6th International Conference on Intelligent Communication Technologies and Virtua (conference name truncated in source), Bengaluru, India.
  23. Jenefa, A., Vidhya, K., & R. (2025, June 25–27). NeuroSage: A scalable deep retrieval framework for early neurological disease detection. In Proceedings of the 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.
  24. Vidhya, K., R., & Santhiya, P.,Jenefa.A (2025, June 25–27). Smart Focus: A deep learning-based student engagement tracking system. In Proceedings of the 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.
  25. Santhiya, P., Ebenezer, V., & Jenefa, A. (2025, June 13–14). HearTheSigns: AI-based road sign detection with real-time voice feedback for blind. In 2025 International Conference on Computing Technologies (ICOCT 2025), Bengalore, India. (City spelling as provided.)
  26. Ebenezer, V., R., & Vidhya, K. (2025, May 23–25). DL-Medic: Deep learning-based software for accurate medicinal plant identification and benefit extraction. In 2025 6th International Conference for Emerging Technology (INCET 2025), Belgaum, India.
  27. Jenefa, A.,& Vidhya, K. (2025, July 9–11). DL-GIS fusion for spatiotemporal vulnerability mapping of plantation ecosystems under extreme climate events. In 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2025), Tirunelveli, India.

2024

Journal Publications

  1. Ebenezer, V., & Jenefa, A. (2023, August). Gender classification from fingerprint using hybrid CNN–SVM. , 4(1), 82–87. (Scopus indexed.)
  2. Jenefa, A. (2024, March). DEEPSCAN: Integrating vision transformers for advanced skin lesion diagnostics, 18, 1. (Scopus indexed; impact factor ~0.1 as noted.)
  3. Navin, S. (2024, January). Fuzzy Swin transformer for land use/land cover change detection using LISS-III satellite data. , 17, 1745–1764. (Scopus indexed.)
  4. Ebenezer, S. (2024, February). Detection of lung and colon cancer using average and weighted-average ensemble models. , 10, 1. (Scopus indexed.)
  5. Ebenezer, S. (2024, January). Secure smart city application using web service model and mayfly optimization-based lightweight CNN. , 35, e4869. (Scopus indexed.)
  6. Kanaga, E. G. M. (2024, February). Enhanced D-CNN architecture and centroid-based algorithm for real-time vehicle tracking and accident detection from surveillance videos. 26, 4803–4816
  7. Ebenezer, V. (2024, January 18). Fortifying blockchain: Streamlined lattice signatures amid quantum threats to blockchain. In 5th International Conference on Mobile Computing and Sustainable Informatics. Tribhuvan University, Nepal. ISBN 979-835039523-5.
  8. Shamila Ebenezer, S. (2024, February 9). Stress detection using CNN on the WESAD dataset. In 2024 International Conference on Emerging Systems and Intelligent Computing (ESIC) (IEEE). Bhubaneswar, India. ISBN 979-8-3503-4986-3.
  9. Uma Maheswari, —. (2024, May). Monarch butterfly optimization-based multi-convolution neural network for lung cancer classification. In 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT) (IEEE). Bengaluru, India. ISBN 979-8-3503-8296-9.
  10. Darshika Kelin, A. R. (2024, May). Birds species identification using deep learning model. In International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS) (IEEE). Chennai, India. ISBN 979-8-3503-6483-5.
  11. Darshika Kelin, A. R. (2024, May). Fault classification based on deep learning for photovoltaic systems. In 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT) (IEEE). Bengaluru, India. ISBN 979-8-3503-8296-9.
  12. Santhiya, P., Jenefa, A., Immanuel Johnraja, J., & Getzi Jeba Leelipushpam, P. (2024, May). BIPOOLNET: An advanced U-Net architecture for enhanced lane detection in autonomous vehicles. Intelligent Decision Technologies, 18, 743–757. https://doi.org/10.3233/idt-240162
  13. Jenefa, A., & Manoranjitham, R. (2024, August). Enhancing quantum state tomography: Utilizing advanced statistical techniques for optimized quantum state reconstructions. Journal of the Korean Physical Society. Advance online publication. https://doi.org/10.1007/s40042-024-01155-y
  14. Jenefa, A., Vidhya, K., Vijula, V., & Antony Taurshia, A. (2024, August). Enhancing distributed agent environments with quantum multi-agent systems and protocols. Multiagent and Grid Systems, 20, 109–127. https://doi.org/10.3233/mgs-230127
  15. Jenefa, A. (2024, September). Fault detection and semantic segmentation on railway track using deep fusion model. IEEE Access. Advance online publication. https://doi.org/10.1109/access.2024.3462822
  16. Jenefa, A. (2024, December). An unmanned aerial vehicle captured dataset for railroad segmentation and obstacle detection. Scientific Data, 11, 1–12. https://doi.org/10.1038/s41597-024-03952-3
  17. Jenefa, A., & Vidhya, K. (2024, December). EFR-NET: Enhanced fracture prediction in osteoporosis with U-Net-based analysis. Journal of Engineering and Technology for Industrial Applications, 10, 128–137. https://doi.org/10.5935/jetia.v10i50.947.
  18. Jenefa, A., & Antony Taurshia, A. (2024, May). DeepGAN: Utilizing generative adversarial networks for improved deep learning. International Journal of Knowledge-Based and Intelligent Engineering Systems, 28, 684–700. https://doi.org/10.3233/kes-230326.
  19. Jenefa, A., Santhiya, P., Immanuel Johnraja, J., & Getzi Jeba Leelipushpam, P. (2024, June 11–12). Deep Vision: Lane detection in ITS—A deep learning segmentation perspective. In 2nd International Conference on Inventive Computing and Informatics (ICICI 2024), Bengaluru, India.
  20. Jenefa, A., & Santhiya, P. (2024, July 29–30). CloudSec innovation: Enhanced data security with multi-tier encryption systems. In Proceedings of the 2024 8th International Conference on Inventive Systems and Control (ICISC 2024), Coimbatore, India.
  21. Jenefa, A., & Ebenezer, V. (2024, August 28–30). Securing vehicle-to-everything (V2X) communication in AI-empowered electric vehicles. In 2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI 2024), Coimbatore, India.
  22. Jenefa, A., Antony Taurshia, A., & Vidhya, K. (2024, August 28–30). FDM: NutriGuide—A cross-platform Flutter application for managing and educating on nutritional deficiencies. In 2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI 2024), Coimbatore, India.
  23. Jenefa, A., Ebenezer, V., Jerlin Rajan, J., & Catherine Joy, R. (2024, March 14–15). Neural nets in trading: Unveiling the potential of LSTM for stock predictions. In 10th International Conference on Advanced Computing and Communication Systems (ICACCS 2024), Coimbatore, India.
  24. Santhiya, P., & Jenefa, A. (2024, June 4–5). AI-powered trauma chat assistance: Identifying trauma symptoms from voice and text communications. In International Conference on Inventive Communication and Computational Technologies (ICICCT 2024), Coimbatore, India.
  25. Santhiya, P., Jenefa, A., Getzi Jeba Leelipushpam, P., Rajeswari, M., & Stewart Kirubakaran, S. (2024, October 23–25). NLP-ML Hybrid: Identifying signs of suicidal thoughts in social media content. In 2nd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS 2024), Erode, India.

2023

Journal Publications

  1. Ebenezer, V., & Jenefa, A. J. (2023). Gender classification from fingerprint using hybrid CNN-SVM. Journal Title, 4(1), 82-87.
  2. Jenefa.A, Kuriakose, Bessy M. "EDSR: Empowering super-resolution algorithms with high-quality DIV2K images." Intelligent Decision Technologies (2023) 1-15.
  3. Jenefa, A., Ebenezer Veemaraj, and A. Lincy. "ABM-OCD: Advancing ovarian cancer diagnosis with attention-based models and 3D CNNs." ITEGAM-JETIA 9, no. 43 (2023): 23-33.
  4. Jenefa, A., and Naveen V. Edward. "The ascent of network traffic classification in the dark net: A survey." Journal of Intelligent & Fuzzy Systems (2023): 1-22.
  5. Bhuvaneshwari M, Grace Mary Kanaga E, George ST. Classification of SSVEP-EEG signals using CNN and Red Fox Optimization for BCI applications. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 2023;237(1):134-143. doi:10.1177/09544119221135714
  6. Juliet, S. (2023). An enhanced hybrid deep learning model for efficient automatic image captioning. In Proceedings of the 7th International Conference On Computing, Communication, Control And Automation (pp. 1-1). Pune, India: Pimpri Chinchwad College of Engineering (PCCOE). ISBN 979-835030426-8. Scopus.
  7. Juliet, S. (2023). Social media analytics for disaster management using BERT model. In Proceedings of the 1st International Conference on Emerging Research in Computational Science (pp. 1-1). Coimbatore, India: Karpagam Academy of Higher Education. ISBN 979-835035975-6. Scopus.
  8. Ebenezer, V. (2024). Fortifying blockchain: Streamlined lattice signatures amid quantum threats to blockchain. In Proceedings of the 5th International Conference on Mobile Computing and Sustainable Informatics (pp. 1-1). Tribhuvan University, Nephal: Tribhuvan University. ISBN 979-835039523-5. Scopus.
  9. Ebenezer, S. (2024). Stress detection using CNN on the WESAD dataset. In Proceedings of the 2024 International Conference on Emerging Systems and Intelligent Computing (pp. 1-1). Bhubaneswar, India: IEEE. ISBN 979-8-3503-4986-3. Scopus.
  10. Maheswari, U. (2024). Monarch butterfly optimization based multi-convolution neural network for lung cancer classification. In Proceedings of the 2024 International Conference on Distributed Computing and Optimization Techniques (pp. 1-1). Bengaluru, India: IEEE. ISBN 979-8-3503-8296-9. Scopus.
  11. Kelin, A.R.D. (2024). Birds species identification using deep learning model. In Proceedings of the International Conference on Advances in Data Engineering and Intelligent Computing Systems (pp. 1-1). Chennai, India: IEEE. ISBN 979-8-3503-6483-5. Scopus.
  12. Kelin, A.R.D. (2024). Fault classification based on deep learning for photovoltaic systems. In Proceedings of the 2024 International Conference on Distributed Computing and Optimization Techniques (pp. 1-1). Bengaluru, India: IEEE. ISBN 979-8-3503-8296-9. Scopus.
  13. Jenefa, A., Aanya Khan, Esther Alice Mathew, Junia Sam Dani, Giftlin Olivia, and T. S. Shivani. "Enhancing Human Behaviour Analysis through Multi-Embedded Learning for Emotion Recognition in Images." In 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 331-336. IEEE, 2023.
  14. Jenefa, A., Shebin Sam, Varun Nair, Boney George Thomas, Anson Saju George, Rino Thomas, and Alwin Dany Sunil. "A Robust Deep Learning-based Approach for Network Traffic Classification using CNNs and RNNs." In 2023 4th International Conference on Signal Processing and Communication (ICSPC), pp. 106-110. IEEE, 2023.
  15. Jenefa, A., Aaron Ande, Thejas Mounikuttan, M. D. Anuj, G. Jenulin Makros, G. Rachel Rejoice, and T. Mary Shalini. "Real-Time Rail Safety: A Deep Convolutional Neural Network Approach for Obstacle Detection on Tracks." In 2023 4th International Conference on Signal Processing and Communication (ICSPC), pp. 101-105. IEEE, 2023.
  16. Regi, Ansu Elsa, A. Jenefa, SV Evangelin Sonia, Edward Naveen, A. Lincy, and K. Vidya. "Multidisciplinary Approach to Physical Rehabilitation on Left and Right Ventricular Function in Heart Failure Patients." In 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), pp. 823-829. IEEE, 2023.
  17. Regi, Ansu Elsa, A. Jenefa, and Edward Naveen. "Liquid Biopsy for Non-Invasive Monitoring of Tumour Evolution and Response to Therapy." In 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), pp. 815-822. IEEE, 2023.
  18. Jenefa, A., Joshua Samuel, Giri Balan, and Joshua Premkumar. "Enhancing public safety through license plate recognition for counter terrorism through deep learning technique." In 2023 4th International Conference on Signal Processing and Communication (ICSPC), pp. 96-100. IEEE, 2023.
  19. Jenefa, A., F. T. Josh, Antony Taurshia, K. Rathina Kumar, S. Kowsega, and Edward Naveen. "PQC Secure: Strategies for Defending Against Quantum Threats." In 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), pp. 1799-1804. IEEE, 2023.
  20. Jenefa, A., S. Esswari, and Bessy M. Kuriakose. "Utilizing RL and Web-Enhanced Commuting for Traffic Congestion Mitigation and Public Transportation Enhancement." In 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 1760-1766. IEEE, 2023.
  21. Jenefa, A., S. Rithick, A. Vishal, T. Jesman, Richin Christ Robert, and Bessy M. Kuriakose. "Smart Sleep Monitoring: IoMT and GRU for Effective Sleep Disorders Management." In 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 1767-1773. IEEE, 2023.
  22. Jenefa, A., V. Ebenezer, A. Joshua Isaac, Joe Marshell, P. Pradeepa, and V. Naveen. "Adversarial Attacks on Generative AI Anomaly Detection in the Quantum Era." In 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 1833-1840. IEEE, 2023.
  23. Lincy, A., V. Ebenezer, Arul Xavier VM, A. Joshua Isaac, A. Jenefa, and Edward Naveen. "Analyzing DNA Pattern Matching through String Similarity Measurements in Cancer Sequence Data." In 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), pp. 1373-1381. IEEE, 2023.
  24. Jenefa, A., V. Ebenezer, E. Bijolin Edwin, J. Jerlin Rajan, P. Kingston Stanley, and M. Roshni Thanka. "Automating MRI-Based Ovarian Cancer Diagnosis with a DCNN." In 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), pp. 1353-1360. IEEE, 2023.
  25. Jenefa, A., V. Ebenezer, G. Gifta Jerith, S. Jim Reeves, and I. Solomon. "IoMT-Enabled Wearable Sensors for Continuous Glucose Monitoring in Diabetes Management." In 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), pp. 1248-1253. IEEE, 2023.
  26. Jenefa, A., V. Ebenezer, K. Rajkumar, M. Vargheese, and K. Arul Jeyaraj. "COPD Assessment Through Multimodal Analysis: Exploiting the Synergy of CNNs and LSTM Networks." In 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), pp. 13-18. IEEE, 2023.
  27. G. S. Mouni, E. G. Mary Kanaga, M. Bhuvaneswari and S. P. Gandu, "An Experimental Investigation on the Classification Accuracy of Visual, Audio and Cognitive Stimuli-based EEG Signals for BCI Application," 2023 International Conference on Inventive Computation Technologies (ICICT), Lalitpur, Nepal, 2023, pp. 982-987, doi: 10.1109/ICICT57646.2023.10134045.

2022

Journal Publications

  1. Dr. E. Grace Mary Kanaga, (2022) Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review, Journal of Neuro Science method
  2. M. Bhuvaneswari,E. Grace Mary Kanaga,J. Anitha,"Bio-inspired Red Fox-Sine cosine optimization for the feature selection of SSVEP-based EEG signals for BCI applications ", Biomedical Signal Processing and Control, 80 , 104245
  3. Yogapriya, J., Chandran, V., Sumithra, M.G., Elakkiya, B., Shamila Ebenezer, A. and Suresh Gnana Dhas, C., Automated Detection of Infection in Diabetic Foot Ulcer Images Using Convolutional Neural Network. Journal of Healthcare Engineering, 2022. (IF 1.44) (SCI indexed)
  4. Priscilla Joy, Roshni Thanka, and Bijolin Edwin, “Smart Self-Pollination for Future Agricultural-A Computational Structure for Micro Air Vehicles with Man-Made and Artificial Intelligence”, Int J Intell Syst Appl Eng, vol. 10, no. 2, pp. 170–174, May 2022.
  5. Shyam, S., Juliet, S and Ezra, K. (2022). ‘Indoor positioning systems: A blessing for seamless object identification, monitoring, and tracking’ Frontiers in Public Health, 10, IF: 5.2
  6. Diana Baby, Sujitha Juliet Devaraj, M Anishin Raj, (2022) Leukocyte classification based on statistical measures of radon transform for monitoring health condition, Biomedical Physics and Engineering Express, DOI: 10.1088/2057-1976/ac2e16
  7. Nirmal Varghese Babu, Dr. E. Grace Mary Kanaga (2022), “Sentiment Analysis in Social Media Data for Depression Detection using Artificial Intelligence: A Review”, Springer Nature Computer Science, 3, Article number: 74 (2022).
  8. Edwin, Bijolin, Ebenezer Veemaraj, Pradeepa Parthiban, Joseph Pushparaj Devarajan, Vargheese Mariadhas, Ahila Arumuganainar, and Maheshwar Reddy. "Smart agriculture monitoring system for outdoor and hydroponic environments." Indones. J. Electr. Eng. Comput. Sci 25, no. 3 (2022): 1679-1687.
  9. Chowdary, Vamsi Tej, M. Robinson Joel, V. Ebenezer, Bijolin Edwin, Roshni Thanka, and Arul Jeyaraj. "A Novel Approach for Effective Crop Production using Machine Learning." In 2022 International Conference on Electronics and Renewable Systems (ICEARS), pp. 1143-1147. IEEE, 2022.
  10. Radhakrishnan, B. L., E. Kirubakaran, V. Ebenezer, R. V. Belfin, and Derrick I-Hsien Ting. "Remote sleep monitoring and 5G." Secure Communication for 5G and IoT Networks (2022): 173-195.
  11. Mahima, S., Mathu, T., & Raimond, K. (2022). COVID-19 Symptom Analysis and Prediction Using Machine Learning Techniques. In Disruptive Technologies for Big Data and Cloud Applications: Proceedings of ICBDCC 2021 (pp. 847-857). Singapore: Springer Nature Singapore.
  12. Dr. E. Grace Mary Kanaga, MISP 2022 International NIT, Raipur, 12- 14th March 2022
  13. J. A. Sharon and S. Juliet, "Efficient Business Intelligence Implementation: A Systematic Review," 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2022, pp. 144-149, doi: 10.1109/ICAAIC53929.2022.9793012.
  14. Swetha L. ; Praiscia A. ; Sujitha Juliet (2022) "Pain assessment model using facial recognition"Proceedings 6th International Conference on Intelligent Computing and Control Systems, ICICCS,25-27 May 2022
  15. M. R. Thanka, E. B. Edwin, R. P. Joy, S. J. Priya and V. Ebenezer, "Varicose Veins Chronic Venous Diseases Image Classification Using Multidimensional Convolutional Neural Networks," 2022 6th International Conference on Devices, Circuits and Systems (ICDCS), 2022, pp. 364-368, doi: 10.1109/ICDCS54290.2022.9780842.
  16. Mr. Nirmal Varghese Babu,"Depression Analysis using Electroencephalography Signals and Machine Learning Algorithms", Depression Analysis using Electroencephalography Signals and Machine Learning Algorithms International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) ,11-12 Aug. 2022
  17. A. Bertia; S. Basil Xavier; G. Jaspher W. Kathrine; G. Matthew Palmer, “A Study about Detecting Ransomware by Using Different Algorithms”, 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC).
  18. E. Grace Mary Kanaga, M. Roshni Thanka, J.Anitha,"A Pilot Investigation on the Performance of Auditory Stimuli based on EEG Signals Classification for BCI Applications,rnational Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT),11-12 Aug. 2022
  19. Shilpa Shyam,Dr.Sujitha Juliet,Asso.Prof,Kirubakaran Ezra, Tracking and Monitoring of Medical Equipments using UWB for Smart Healthcare, , 6th International Conference on Computing Methodologies and Communication, ICCMC 2022, 29 March 2022 through 31 March 2022, Erode
  20. Simy Mary Kurian,Dr.Sujitha Juliet, An Improved Deep Neural Learning Classifier for Brain Tumor Detection, 6th International Conference on Computing Methodologies and Communication, ICCMC 2022, 29 March 2022 through 31 March 2022, Erode
  21. Preethi Vahitha Sankineni, Angeline Holyah M Grace, Dr.Sujitha Juliet,Lincy Esther U, Joanna J., Data Analytics in Wind Turbine Generators for Improving Efficiency, International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022, 7 April 2022 through 9 April 2022, Erode
  22. Shilpa Shyam, Dr.Sujitha Juliet,Kirubakaran Ezra, Vehicle Monitoring and Localization using UWB in Complex Parking Lot, International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022, 7 April 2022 through 9 April 2022, Erode

2021

Journal Publications

  1. Radha Subramanyam,G. Josemin Bala,Nagabushanam Perattur, E. Grace Mary Kanaga (2021), “Energy Efficient MAC with Variable Duty Cycle for Wireless Sensor Networks”, International Journal of Electronics, Taylor & Francis (Article in Press) [https://doi.org/10.1080/00207217.2021.1892202] (SCI Indexed) [Impact Factor 1.004]
  2. A.Shamila Ebenezer, Kanmani SD, Sivakumar M, Priya SJ. Effect of image transformation on EfficientNet model for COVID-19 CT image classification. Materials Today: Proceedings. Elsevier, 13 Dec 2021. (IF 1.24) (Scopus Indexed)
  3. A.Shamila Ebenezer et al., Identification of Civil Infrastructure Damage Using Ensemble Transfer Learning Model, Advances in Civil Engineering, Volume 2021, Hindawi publications, https://doi.org/10.1155/2021/5589688 (IF1.924) (SCI indexed)
  4. T.Mathu, Dr. Kumudha Raimond (2021) A novel deep learning architecture for drug named entity recognition” Telkomnika (Telecommunication Computing Electronics and Control), 19(6), pp. 1884-1891.
  5. P Anandan, S Kirubakaran, M.Roshni Thanka , N Geethanjali, Amit Kumar and Sivakumar Ponnusamy. Architectures and Uses of Artificial Neural Networks in Water Resources Engineering Infrastructure and Applications, J Nucl Ene Sci Power Generat Technol
  6. Iwin Thanakumar Joseph S, J. Sasikala, Sujitha Juliet, Dr.S.Velliangiri,Hybrid Spatio-Frequency Domain Global Thresholding Filter (HSFGTF) Model for SAR Image Enhancement,Pattern Recognition Letters,Vol 146, Pg No.:8-14,SCI, IF=3.255
  7. Ben Varkey, V.Ebenezer, E.Bijolin Edwin, K.Arul Jeyaraj, M.Varghese, M.Roshni Thanka,Smart Aquaponics: Challenges and Opportunities,Annals of the romanian society for cell biology Vol.25, No.4, April 2021
  8. Jenefa, A., and M. BalaSingh Moses. A multi-phased statistical learning based classification for network traffic. Journal of Intelligent & Fuzzy Systems 40, no. 3 (2021): 5139-5157.
  9. Bhuvaneshwari, M.,,Dr. E. Grace Mary Kanaga, “Convolutional Neural Network for Addiction Detection using Improved Activation Function,International Conference on Computing Methodologies and Communication [10.1109/ICCMC51019.2021.9418022], 8 - 10 April 2021, Surya Engineering College , Erode
  10. M.Bhuvaneshwari, Dr.E.Grace Mary Kanaga, Dr.J.Anitha, “Enhanced Monotonic Activation Function in Convolutional Neural Network for Multi-class EEG Signal Classification”, 2021 International Conference on Big Data and Cloud Computing (ICBDCC-21).
  11. Nirmal Varghese Babu, Fabeela Ali Rawther(2021), “ Multiclass Sentiment Analysis in Text and Emoticons of Twitter Data: A Review, “ Second International Conference on Networks and Advances in Computational Technologies.
  12. Mathu, T., Raimond, K., & Priya, S. J. (2021, August). An Overview of Technological Revolution in Deep Learning Architectures for Biomedical Named Entity Recognition. In 2021 Asian Conference on Innovation in Technology (ASIANCON) (pp. 1-6). IEEE.
  13. E. Grace Mary Kanaga, Lecture Notes on Data Engineering and Communications Technologies, Classification of VEP-Based EEG Signals Using Time and Time-Frequency Domain Features, Springer, 2021, Pp. 737-747
  14. Bhuvaneshwari , E. Grace Mary Kanaga, J. Anitha, Kumudha Raimond, and S. Thomas George,Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare,A comprehensive review on deep learning techniques for a BCI-based communication system,Elsevier, 2021, 978-0-12-821633-0 Pages 131-157

2020

Journal Publications

  1. Sminesh, C.N., Grace Mary Kanaga, E., Sreejish, A.G.,A multi-controller placement strategy in software defined networks using affinity propagation,International Journal of Internet Technology and Secured Transactions,Volume 10, Issue 1-2, 2020, Pages 229-253
  2. S. Seetha, Sharmila Anand John Francis, E. Grace Mary Kanaga, Esther Daniel (2020), “ESAM - Energy Saving Slot Allocation Based Multicast Routing in Wireless Mesh Network”, EAI Endorsed Transactions on Energy Web, SCI indexed, Impact Factor: 0.38, ISSN: 2032944X.
  3. Sminesh, C.N., Dr.Grace Mary Kanaga, ,E.G., Sreejish, A.G.,Augmented affinity propagation-based network partitioning for multiple controllers placement in software defined networks,Journal of Computational and Theoretical Nanoscience,Volume 17, Issue 1, 2020, Pages 228-233
  4. Robinson Joel, V.Ebenezer , M.Navaneethakrishnan , N.Karthik, Encrypting and decrypting different files over different algorithm on Cloud Platform, International journal of Emerging Trends in Engineering Research,Vol.8, No.4,1379-1383,2020.
  5. Prasanth,Christopher Santhosh.C,Allwin Edilbert,T.Mathu, Applications of greedy algorithm in human life and the natural world,Journal of Green Engineering, 10(6), pp. 2826-2838,Aug 2020
  6. Preethi Sheba Hepsib,E. Grace Mary Kanaga,An osmosis-based intelligent agent scheduling framework for cloud bursting in a hybrid cloud,International Journal of Distributed Systems and Technologies, pp. 68-88, IGI Global, vol. 11(3), July2020
  7. Shamila Ebenezer, Elijah Blessing Rajsingh, and Baskaran Kaliaperumal,Support vector machine-based proactive fault-tolerant scheduling for grid computing environment,International Journal of Advanced Intelligence Paradigms,16, no. 3-4 (2020): 381-403,IF: 0.54
  8. RoshniThanka,E.BijolinEdwin,ShinuDeula,V.Ebenezer,Automated diagnosis of skin disease multiclass image classification,using deep convolution neural network (Article),Journal of Green Engineering,Volume 10, Issue 10, October 2020, Pages 7646-7660
  9. Radha , E . Grace Mary Kanaga and P. Nagabushanam , Scheduling and adapti v e listening approaches in MA C for WSN applications: A surv e y,Journal o f High Speed Networks 26 (2020) 325–338