Open Access
Issue
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
Article Number 01091
Number of page(s) 12
DOI https://doi.org/10.1051/e3sconf/202343001091
Published online 06 October 2023
  1. G. Vijendar Reddy, Sukanya Ledalla, Avvari Pavithra, A quick recognition of duplicates utilizing progressive methods ‘International Journal of Engineering and Advanced Technology (IJEAT)’ at Volume-8 Issue-4, April 2019. [Google Scholar]
  2. Wei, B.; Hu, W.; Yang, M.; Chou, C.T. From real to complex: Enhancing radio-based activity recognition using complex-valued CSI. ACM Trans. Sens. Netw. (TOSN) 2019, 15, 35. [CrossRef] [CrossRef] [Google Scholar]
  3. Avvari, Pavithra, et al. “An Efficient Novel Approach for Detection of Handwritten Numericals Using Machine Learning Paradigms.” Advanced Informatics for Computing Research: 5th International Conference, ICAICR 2021, Gurugram, India, December 18–19, 2021, Revised Selected Papers. Cham: Springer International Publishing, 2022. [Google Scholar]
  4. Ledalla, Sukanya, R. Bhavani, and Avvari Pavitra. “Facial Emotional Recognition Using Legion Kernel Convolutional Neural Networks.” Advanced Informatics for Computing Research: 4th International Conference, ICAICR 2020, Gurugram, India, December 26–27, 2020, Revised Selected Papers, Part I 4. Springer Singapore, 2021. [Google Scholar]
  5. Bae, J.; Kim, D.-S. End-to-End Speech Command Recognition with Capsule Network. In Proceedings of the Interspeech, Hyderabad, India, 2–6 September 2018; pp. 776–780. [Google Scholar]
  6. Fiore, U.; Florea, A.; Pérez Lechuga, G. An Interdisciplinary Review of Smart Vehicular Traffic and Its. Applications and Challenges. J. Sens. Actuator Netw. 2019, 8, 13. [CrossRef] [Google Scholar]
  7. Kim, S.; Guy, S.J.; Hillesland, K.; Zafar, B.; Gutub, A.A.-A.; Manocha, D. Velocity-based modeling of physical interactions in dense crowds. Vis. Comput. 2015, 31, 541–555. [CrossRef] [CrossRef] [Google Scholar]
  8. Badshah, A.M.; Rahim, N.; Ullah, N.; Ahmad, J.; Muhammad, K.; Lee, M.Y.; Kwon, S.; Baik, S.W. Deep features-based speech emotion recognition for smart affective services. Multimed. Tools Appl. 2019, 78,5571–5589. [CrossRef] [Google Scholar]
  9. Mao, Q.; Dong, M.; Huang, Z.; Zhan, Y. Learning salient features for speech emotion recognition using convolutional neural networks. IEEE Trans. Multimed. 2014, 16, 2203–2213. [CrossRef] [Google Scholar]
  10. Kang, S.; Kim, D.; Kim, Y. A visual-physiology multimodal system for detecting outlier behavior of participants in a reality TV show. Int. J. Distrib. Sens. Netw. 2019. [Google Scholar]
  11. Dias, M.; Abad, A.; Trancoso, I. Exploring hashing and cryptonet based approaches for privacy-preserving speech emotion recognition. In Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 15–20 April 2018; pp. 2057–2061. [Google Scholar]
  12. Busso, C.; Bulut, M.; Lee, C.-C.; Kazemzadeh, A.; Mower, E.; Kim, S.; Chang, J.N.; Lee, S.; Narayanan, S.S. IEMOCAP: Interactive emotional dyadic motion capture database. Lang. Resour. Eval. 2008, 42, 335. [CrossRef] [Google Scholar]
  13. Ledalla, Sukanya & Mahalakshmi, Tummala. (2018). Multilingual Sentiment Analysis of Hinglish Tweets. Indian Journal of Public Health Research & Development. 9. 1627. 10.5958/0976-5506.2018.02092.2. [CrossRef] [Google Scholar]
  14. Y Jeevan Nagendra Kumar, V Spandana, VS Vaishnavi, K Neha, VGRR Devi, “Supervised Machine Learning approach for Crop Prediction in Agriculture Sector”, IEEE - 5th International Conference on Communication and Electronics Systems (ICCES), ISBN: 978-1-7281-5370-4 pg: 736-741. [Google Scholar]
  15. Sukanya Ledalla, Tummala Sita Mahalakshmi, ìAn Investigation on Sentiment Analysis,î International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.770-779, 2018. [CrossRef] [Google Scholar]
  16. Indian sign language recognition using convolution neural network. Sukanya L, Tharun E, Anup Raj G, Shreyas Singh T and Srinivas S E3S Web Conf., 391 (2023) 01058. DOI: https://doi.org/10.1051/e3sconf/202339101058 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  17. Racism detection using deep learning techniques. Sukanya L, Aniketh J, Abhiman Sathwik E, Sridhar Reddy M, Hemanth Kumar N E3S Web Conf. 391 01052 (2023). DOI: 10.1051/e3sconf/202339101052. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  18. Y. Jeevan Nagendra Kumar, Dr. T. V. Rajini Kanth, “GIS-MAP Based Spatial Analysis of Rainfall Data of Andhra Pradesh and Telangana States Using R”, International Journal of Electrical and Computer Engineering (IJECE), Vol 7, No 1, February 2017, Scopus Indexed Journal, ISSN: 2088-8708. [Google Scholar]
  19. Kumar, V. Vijay, NV Ganapathi Raju, and O. Srinivasa Rao. “Histograms of Term Weight Feature (HTWF) model for Authorship Attribution‖.” International Journal of applied Engineering Research 10.16 (2015): 36622-36628. [Google Scholar]
  20. Brain Tumors Classification System Using Convolutional Recurrent Neural Network V. Akila, P.K. Abhilash, P Bala Venakata Satya Phanindra, J Pavan Kumar, A. Kavitha E3S Web Conf. 309 01075 (2021) DOI: 10.1051/e3sconf/202130901075. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  21. Raju, NV Ganapathi, V. Vijay Kumar, and O. Srinivasa Rao. “AUTHORSHIP ATTRIBUTION OF TELUGU TEXTS BASED ON SYNTACTIC FEATURES AND MACHINE LEARNING TECHNIQUES.” Journal of Theoretical & Applied Information Technology 85.1 (2016). [Google Scholar]
  22. Prasanna Lakshmi, K., Reddy, C.R.K. A survey on different trends in Data Streams (2010) ICNIT 2010 - 2010 International Conference on Networking and Information Technology, art. no. 5508473, pp. 451-455. [CrossRef] [Google Scholar]
  23. Jeevan Nagendra Kumar, Y., Spandana, V., Vaishnavi, V.S., Neha, K., Devi, V.G.R.R. Supervised machine learning Approach for crop yield prediction in agriculture sector (2020) Proceedings of the 5th International Conference on Communication and Electronics Systems, ICCES 2020, art. no. 09137868, pp. 736-741. [Google Scholar]
  24. Sankara Babu, B., Suneetha, A., Charles Babu, G., Jeevan Nagendra Kumar, Y., Karuna, G. Medical disease prediction using grey wolf optimization and auto encoder based recurrent neural network (2018) Periodicals of Engineering and Natural Sciences, 6 (1), pp. 229-240. [CrossRef] [Google Scholar]
  25. Nagaraja, A., Boregowda, U., Khatatneh, K., Vangipuram, R., Nuvvusetty, R., Sravan Kiran, V. Similarity Based Feature Transformation for Network Anomaly Detection (2020) IEEE Access, 8, art. no. 9006824, pp. 39184-39196 [CrossRef] [Google Scholar]

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