Division of Advanced Data Science

Research Publications (July 2020 – till date)

Journals: Scopus

  1. Gillala Rekha, V.Krishna Reddy, and Amit Kumar Tyagi, “An EMD-Based Undersampling Approach for Handling Class-Imbalanced Data”, International Journal of Intelligent Information and Database Systems, Inderscience, August 2020 Vol.13 No.2/3/4. (SCOPUS).
  2. Vasantha and Susan Elias, “A Survey on Lung CT Datasets and Research Trends”, Research on Biomedical Engineering, Springer (Accepted in March 2021) 
  3. Nitin Asthana and S. Shridevi, (09.02.2021)  “DECRYPTING RSA ENCRYPTION USING QUANTUM ALGORITHM, Advances in Mathematics: Scientific Journal 10 (2021), no.2, 729–742, ISSN: 1857-8365 (printed); 1857-8438 (electronic) https://doi.org/10.37418/amsj.10.2.5
  4. P V Srimukh and S Shridevi, 2020, Development of Ontology on Crime Investigation process,  Journal of Physics: Conference Series, 1716 012053, https://iopscience.iop.org/article/10.1088/1742-6596/1716/1/012053
  5. U Srinivasa Rao, L Jeganathan, Tessy Mathew, Replication in Two-Dimensional Cellular Automaton with Linear Rules. Journal of Cellular Automata, Volume 15, No.5-6, 2020, pp 377-405 (Impact factor: 0.340) 
  6. B. Prasanalakshmi, K. Murugan, Karthik Srinivasan, S. Shridevi, Shermin Shamsudheen & Yu-Chen Hu, Improved authentication and computation of medical data transmission in the secure IoT using hyperelliptic curve cryptography. Springer – Journal of Supercomputing (MAY 26, 2021). https://doi.org/10.1007/s11227-021-03861-x            
  7. Korupalli V Rajesh Kumar and Susan Elias, Use Case to Simulation: Muscular Fatigue Modelling and Analysis, Turkish Journal of Physiotherapy and Rehabilitation; 32(2) ISSN 2651-4451 | e-ISSN 2651-446X  March 2021. 
  8. Susan Elias and Nandhini L, Predictive Thin Plate Spline Model for Estimation of Load Carriage at Varying Gradient and Speed, Defence Life Science Journal (Accepted for publication – August 2021)
  9. Sajidha S A, Udai Agarwal, Pruthviraj R P, Sparsh Agarwal, Nisha V M, Amit Kumar Tyagi, A Simple, Effective Distance and Density Based Outlier Detection Algorithm, Indonesian Journal of Electrical Engineering and Computer Science Journal  (Accepted for publication – July 2021)
  10. Ezhilan, Aakash and Dheekksha, R. and Shridevi, S, Audio style conversion using deep learning, International Journal of Applied Science and Engineering, Vol 18 (5), 2021. 

 

Journals Non-Scopus:

  1. Gillala Rekha, V. Krishna Reddy, and Amit Kumar Tyagi, “CIRUS – Critical Instances removal based Under-Sampling – A solution for Class Imbalance”, International Journal of Hybrid Intelligent Systems, vol. 16, no. 2, pp. 55-66, 2020.
  2. Amit Kumar Tyagi, Meghna Manoj Nair, N Sreenath, and Ajith Abraham, “Security, Privacy Research issues in Various Computing Platforms: A Survey and the Road Ahead”, Journal of Information Assurance and Security (JIAS), 2020, Vol. 15 Issue 1, p1-16.
  3. Amit Kumar Tyagi, Meghna Manoj Nair, “Internet of Everything (IoE) and Internet of Things (IoTs): Threat Analyses, Possible Opportunities for Future”, 9th World Congress on Information and Communication Technologies (WICT 2019)/ Journal of Information Assurance and Security (JIAS), Vol. 15 Issue 4, October 2020.
  4. Varsha. R, Meghna Manoj Nair, Siddharth M Nair, Amit Kumar Tyagi, “Deep Learning Based Blockchain Solution for Preserving Privacy in Future Vehicles”, IJHIS, IOS Press, December 2020.
  5. Sravanthi, K. and Burugari, Vijay Kumar, Amit Kumar Tyagi, “Preserving Privacy Techniques for Autonomous Vehicles”, International Journal of Emerging Trends in Engineering Research, 2020, Issue 8, pp. 5180-5190
  6. Rajneel Dutta, Shridevi S, Thavavel V, Lip Reading using Deep Learning Techniques, International Journal of Advanced Research in Engineering and Technology , Volume 11, Issue 12, December 2020, pp.2088-2099.  (NOW NON SCOPUS,   WHILE SUBMISSION, IT WAS IN SCOPUS) http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=12

 

Conferences: 

  1. Amit Kumar Tyagi, Shabnam Kumari, et. al., “P3 Block: Privacy Preserved, Trusted Smart Parking Allotment for Future Vehicles of Tomorrow”, July 1-4, 2020, in Proceeding of Springer/ 20th International Conference ICCSA, Italy,
  2. Shaveta Malik, Archana M, Amit Kumar Tyagi, “A Novel Feature Extractor Based on the Modified Approach of Histogram of Oriented Gradient”, July 1-4, 2020, in Proceeding of Springer/ 20th International Conference ICCSA, Italy. (Best Paper Award).
  3. Sakshi Purwar, Amit Kumar Tyagi “Recent Advancement in Deep Learning: Open Issues, Challenges and A Way to Forward”, 2-4 July 2020, in Proceeding of Springer/ 2nd International Conference on Emerging Technologies in Data Mining and Information Security, Kolkata, India.
  4. Shivani Banal, Meenu Gupta, Amit Kumar Tyagi, A Necessary Review on Optical Character Recognition (OCR) System for Vehicular Applications, 15 -17 July 2020, in Proceeding of IEEE/ 2nd International Conference on Inventive Research in Computing Applications (ICIRCA), 2020, Tamilnadu, India.
  5. Meghna Manoj Nair, Shabnam Kumari, Amit Kumar Tyagi, and Sravanthi Reddy “Deep Learning for Medical Image Recognition: Open Issues and A Way to Forward”, 24-25th July, in Proceeding of Springer/ ICIMMI-2020, 2nd International Conference on Information Management & Machine Intelligence, India, 2020.
  6. Geeta M, G Rekha, Amit Kumar Tyagi, “Performance Analysis of Under-sampling Approaches for Solving Customer Churn Prediction”, 24-25th July, in Proceeding of Springer/ ICIMMI-2020, 2nd International Conference on Information Management & Machine Intelligence, India, 2020.
  7. Meghna Manoj Nair, Shabnam Kumari, Amit Kumar Tyagi “Internet of Things, Cyber Physical System and Data Analytics: Open Questions and Future Perspectives”, 24-25th July, in Proceeding of Springer/ ICIMMI-2020, 2nd International Conference on Information Management & Machine Intelligence, India, 2020.
  8. Amit Kumar Tyagi, Terrance Frederick Fernandez, and Aswathy S U, Blockchain and Aadhaar Based Electronic Voting System, in Proceeding of IEEE/ 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2020), November 2020, Tamilnadu, India.
  9. Bhavya Gudeti, Terrance Frederick Fernandez, Shashvi Mishra, Amit Kumar Tyagi, Shaveta Malik and Shabnam Kumari, A Novel Approach to Predict Chronic Kidney Disease using Machine Learning Algorithms, in Proceeding of IEEE/ 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2020), November 2020, Tamilnadu, India.
  10. Shridevi S, Shashwat Sanket, Jayraj Thakor, Dhivya M, Analysis of Semantic and Non-Semantic crawlers, (2021),CEUR Workshop Proceedings for ISIC 2021. https://rename-z.github.io/ISIC-2021/ (PRE-PROCEEDINGS PUBLICATION)
  11. Prasad S., Agyeya O., Singh P., Krishnakumar S.S. (2021) Deep Network for Network Intrusion with Concept Drift. In: Ranganathan G., Chen J., Rocha Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-15-7345-3_79. 
  12. Rachana L., Shridevi S. (2021) A Literature Survey: Semantic Technology Approach in Machine Learning. In: Zhou N., Hemamalini S. (eds) Advances in Smart Grid Technology. Lecture Notes in Electrical Engineering, vol 688. Springer, Singapore. https://doi.org/10.1007/978-981-15-7241-8_34
  13. Venkata Srimukh P., Shridevi S. (2020) Ontology-Based Crime Investigation Process. In: Siano P., Jamuna K. (eds) Advances in Smart Grid Technology. Lecture Notes in Electrical Engineering, vol 687. Springer, Singapore. https://doi.org/10.1007/978-981-15-7245-6_37
  14. Preethi, Ankitha, Pranav, Rudra, Vedanth and Susan Elias,  Vax India Tech – A Provident Vaccine Distribution Stratergy for India,  International Conference “Vaccine for All”, MIT Boston USA, Dec 11, 2020.  
  15. Amit Kumar Tyagi, et al., “Blockchain Technology – A New Technology for Creating Distributed and Trusted Computing Environment”, 29-30th October, in Proceeding of Springer/ ICAAAIML-2020: International Conference on Advances and Applications of Artificial Intelligence and Machine Learning, Greater Noida, India, 2020.
  16. Thavavel Vaiyapuri, Hayaa Alaskar, Zohraa Sbai, Shridevi S, ‘GA-based Multi-objective Optimization Technique for Medical Image Denoising in Wavelet Domain’, 11 August 2021, Journal of Intelligent & Fuzzy Systems, vol. 41, no. 1, pp. 1575-1588, 2021. DOI: 10.3233/JIFS-210429