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All issues Volume 392 (2024) MATEC Web Conf., 392 (2024) 01109 References
Open Access
Issue
MATEC Web Conf.
Volume 392, 2024
International Conference on Multidisciplinary Research and Sustainable Development (ICMED 2024)
Article Number 01109
Number of page(s) 17
DOI https://doi.org/10.1051/matecconf/202439201109
Published online 18 March 2024
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  2. Ajith. S 1, Chandru. S 1, Boopalan. E 1, Periyathambi. P 2[ Cloud Based Forest Fire Alert System using IoT] International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 4 Issue 2, February 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 –6470 [Google Scholar]
  3. R. Niranjana, Dr.T.HemaLatha, Associate Professor[An Autonomous IoT Infrastructure for Forest Fire Detection and Alerting System] International Journal of Pure and Applied Mathematics Volume 119 No. 12 2018, 16295-16304 ISSN: 1314-3395 (on-line version) [Google Scholar]
  4. Mrs. Pavitra N, India Sania Khan, Seeksha Jain, Anusha MN, Y Pavan Kalyan [FOREST FIRE DETECTION SYSTEM USING IOT] International Journal of Engineering Applied Sciences and Technology, 2020 Vol. 5, Issue 4, ISSN No. 2455-2143, Pages 331-336 [Google Scholar]
  5. O. Minu1, M. Ramsiya2, A. Thasini3, K. Vinduja Narayanan4 *, K. Arun 5[ Forest Fire Detection and Alerting System] International Journal of Research in Engineering, Science and Management Volume-3, Issue-5, May-2020 ISSN (Online): 2581-5792 [Google Scholar]
  6. Miss Aachal Ramteke 1, Prof. Rohini Pochhi 2, Prof Rahul Dhuture [IoT Based Forest Fire Detection System Using Raspberry PI and GSM] International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) Volume 5, Issue 2, May 2021 [Google Scholar]
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  8. Sonal Singh [Color Detection Technique to Curb Forest Fire Identifying Fire, Its Location and Intimation to Help In Controlling Forest Fire.] International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 IJERTV11IS010109 (This work is licensed under a Creative Commons Attribution 4.0 International License) Vol. 11 Issue 01, January-2022 [Google Scholar]
  9. [Miss Aachal Ramteke 1, Prof. Rohini Pochhi 2, Prof Rahul Dhuture 3[ IoT Based Forest Fire Detection System Using Raspberry PI and GSM] International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) Volume 5, Issue 2, May 2021 [Google Scholar]
  10. Deepthi S, Shushma G Krishna, Sahana KB, Vandana, Latha [IOT Enabled Forest Fire Detection and Management] International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 [Google Scholar]
  11. M. Trinath Basu1 *, Ragi Pati Karthik 2, J. Mahitha 3, V. Lokesh Reddy 4[ IoT based forest fire detection system] International Journal of Engineering & Technology, 7 (2.7) (2018) 124-126 [CrossRef] [Google Scholar]
  12. Yerragudipadu subbarayudu, alladi Sureshbabu “Distributed Multimodal Aspective on Topic Model Using Sentiment Analysis for Recognition of Public Health Surveillance” Expert Clouds and Applications, 16 July 2021, DOI: https://doi.org/10.1007/978-981-16-2126-0_38 Springer, Singapore Print ISBN 978-981-16-2125-3 Online ISBN 978-981-16-2126-0 [Google Scholar]
  13. Yerragudipadu Subbarayudu, Adithi Soppadandi, Shreya Vyamasani and Supriya Bandanadam1, The Distributed Deep Learning Paradigms for Detection of Weeds from Crops in Indian Agricultural Farms, E3S Web of Conferences 391, 01057 (2023) https://doi.org/10.1051/e3sconf/202339101057 ICMED-ICMPC 2023. [CrossRef] [EDP Sciences] [Google Scholar]
  14. Subbarayudu Yerragudipadu, Vijendar Reddy Gurram, Navya Sri Rayapudi, Bhavana Bingi, Likhitha Gollapalli1 and Ukritha peddapatlolla, An Efficient Novel Approach on Machine Learning Paradigmsfor Food Delivery Company through Demand Forecastıng in societal community, E3S Web of Conferences 391, 01089 (2023) https://doi.org/10.1051/e3sconf/202339101089 ICMED-ICMPC 2023. [CrossRef] [EDP Sciences] [Google Scholar]
  15. Yerragudipadu Subbarayudu, G Vijendar Reddy, M Vamsi Krishna Raj, K Uday, MD Fasiuddin, and P Vishal, An efficient novel approach to E-commerce retail price optimization through machine learning, E3S Web of Conferences 391, 01104 (2023) https://doi.org/10.1051/e3sconf/202339101104 ICMED-ICMPC 2023. [CrossRef] [EDP Sciences] [Google Scholar]
  16. Subbarayudu, Y., Sureshbabu, A. (2023). A distributed densely connected convolutional network approach for enhanced recognition of health-related topics: A societal analysis case study. Ingénierie des Systèmes d’Information, Vol. 28, No. 3, pp. 677-684. https://doi.org/10.18280/isi.280317. [Google Scholar]
  17. Subbarayudu Yerragudipadu, Alladi Sureshbabu, ”The Evaluation of Distributed topic models for recognition of health-related topics in social media through Machine Learning Paradigms” International Journal of Intelligent Systems and Applications in Engineering (IJISAE), https://ijisae.org ISSN:2147-6799,2023 [Google Scholar]

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