Open Access
Issue |
ITM Web Conf.
Volume 56, 2023
First International Conference on Data Science and Advanced Computing (ICDSAC 2023)
|
|
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Article Number | 05004 | |
Number of page(s) | 10 | |
Section | Machine Learning & Neural Networks | |
DOI | https://doi.org/10.1051/itmconf/20235605004 | |
Published online | 09 August 2023 |
- D. Ioannou, W. Huda, and A. F. Laine, “Circle recognition through a 2d hough transform and radius histogramming,” Image and vision computing, vol. 17, no. 1, pp. 15–26, 1999. [CrossRef] [Google Scholar]
- D. G. Lowe, “Distinctive image features from scale-invariant keypoints,” Int. journal ofcomputer vision, vol. 60, no. 2, pp. 91–110, 2004. [CrossRef] [Google Scholar]
- H. K., Anandhi, R.J. An efficient and scalable dynamic session identification framework for web usage mining. Int. j. inf. tecnol. 14, 1515-1523 (2022). https://doi.org/10.1007/s41870-022-00867-3. [CrossRef] [Google Scholar]
- R. J. Anandhi, S. Baswaraju, S. S., S. P. Nandagopalan and S. J. Rao, “Survey on IOT Based Pothole Detection,” 2022 IEEE Delhi Section Conference (DELCON), 2022, pp. 1-6, DOI: 10.1109/DELCON54057.2022.9753122. [Google Scholar]
- Mohan H.S. and Rajesh, L., “Adaptive Group Teaching Based Clustering and Data Aggregation with Routing in Wireless Sensor Network.”, published in Wireless Pers Commun 122, 1839-1866 (2022). [CrossRef] [Google Scholar]
- Mohan H. S. and Rajesh L., “Shuffled Shepherd Squirrel Optimization and Fractional LMS Model for In-Network Aggregation in Wireless Sensor Network” International Journal of Business Data Communications and Networking Volume 18 September 23, 2022, Issue 1, DOI: 10.4018/IJBDCN.309412 [Google Scholar]
- Saravanan, K., “Review on IOT Based Fire Alarm Notification and Extinguisher System” Asian Journal of Convergence in Technology. Issue: 1, Volume 8, April 2022; ISSN: 2350-1146; Impact factor- 5.71; www.asianssr.org. [Google Scholar]
- Saravanan, K., S. Anthoni Raj, “Optimal Design and performance analysis of VerticallyStacked Nanosheet Tunnel Field Effect Transistor” Springer-Silicon; https://doi.org/10.1007/s12633-022-01829-x; April 2022. (Indexed in WOS, SCI & SCOPUS) [Google Scholar]
- Ms. Priyanka V. Deshmukh, Dr. Avinash S. Kapse, Dr. V. M. Thakare, Dr. Arvind S. Kapse, “An Effective High Level Capacity Reversible Data Hiding in Encrypted Images”, Proceedingsof the Second International Conference on Artificial Intelligence and Smart Energy (ICAIS- 2022) IEEE Xplore Part Number: CFP22OAB ART; ISBN: 978-1-6654-0052-7, pp. 602-606 [Google Scholar]
- Mangayarkarasi, P., & Muhammad Shahbaz, K., & Sunil, K., & Pramod, S. (2020). Smart Vision System for Visually Impaired People. International Research Journal of Engineering and Technology, 4(7), 943–946. [Google Scholar]
- L. Srinivasan, Venkatesh, G. Pranay Deepak Reddy, B. Sai Pramath and J. A. Trivedh, “IoT Based Low-Cost Robotic Agent Design for Covid-19 affected people,” 2022 International Conference on Electronics and Renewable Systems (ICEARS), 2022, pp. 468-473, DOI: 10.1109/ICEARS53579.2022.9751926. [CrossRef] [Google Scholar]
- Gautam, K. S. “Video Analytics based Intelligent Transport System for passenger flow forecast and Social Distancing Indication.” Turkish Journal of Computer and MathematicsEducation (TURCOMAT) 12.7 (2021): 2709-2721. [Google Scholar]
- Karthiyayini, J., & Dhanya Shree, & Simran Killedar, & Ummadi Pawan Kumar, & Kishan Kumar, (2020). Charging station for E-Vehicles using solar with IOT. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 5(8), (2040-2043). [CrossRef] [Google Scholar]
- Sivaramakrishnan, S., et al. “Augmentationof Terahertz Communication in 6G and Its Dependency for Future State-of-the-Art Technology.” Challenges and Risks Involved in Deploying 6G and NextGen Networks. IGI Global, 2022. 91-105. [Google Scholar]
- Sivaramakrishnan, S. (2021). Terrance Frederick Fernandez; R. G. Babukarthik; S. Premalatha, “4Forecasting Time Series Data Using ARIMA and Facebook Prophet Models. In Big Data Managementin Sensing: Applications in AI and IoT (pp. 47-60). River Publishers. [Google Scholar]
- Karthiyayini J., Arpita Chowdary Vantipalli Darshana Sailu Tanti, Malvika Ravi K., Krtin Kannan (2022). IOT based AquaSwach, 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP) | 978-1-6654-4290-9/22/$31.00 ©2022 IEEE | DOI: 10.1109/AISP53593.2022.9760657 [Google Scholar]
- Shanmugam Shobha, M., & Vijay Hegde, S., & Yashwanth, C. V., & Chandra Kiran, S., (2020). Crop Yield Production using Machine Learning Algorithm. International Research Journal of Engineering and Technology (IRJET), 4(7), (3328-3330). 4 [Google Scholar]
- Vandana, C.P., & Aashika M. Suresh, & Nikitha Nanju, K., & Sanjana V. Nagvekar, (2020). Solar Energy Equipped IoT Based Vacuum Cleaner. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 3(6),(325-331). [Google Scholar]
- Vandana, C.P., & Ajeeth A. Chikkamannur, (2020). SCOAP: Semantic Enrichment of COAP for Resource Discovery. SN Computer Science (2020) 1:88 Springer Nature Singapore, SN Computer Science(2020) 1:88. [Google Scholar]
- Arvind S. Kapse, Shanmugam Shoba, Ritom Tamuli, Ayush Sinha, and Srutibanta Samantara, “Android Based Fall Detection and Tracking App for Aged People”, Proceedings of the Second International Conference on Artificial Intelligence and Smart Energy (ICAIS-2022) IEEE Xplore Part Number: CFP22OAB-ART; ISBN: 978-1-6654-0052-7, 2022, pp. 1113-1116 [Google Scholar]
- Priyanka V. Deshmukh, Avinash S. Kapse, V. M. Thakare, Arvind S. Kapse, “High capacity reversible data hiding in encrypted images using multi-MSB data hiding mechanism with elliptic curve cryptography”, Multimedia Tools and Applications, 16 February 2023, pp. 1-29 [Google Scholar]
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