Gurrapu, N., & Baydeti, N. (2022). Composite user behaviour assisted rumour detection over online social media. 2022 International Conference on Recent Trends in Microelectronics and Telecommunications (ICRTMT).

Gavarraju, L. N. J., Rao, P. S., Gurrapu, N., Prakash, D. R. V. N. V. S., et al. (2024). Efficient detection of tomato leaf diseases using GPU-accelerated deep learning frameworks. Journal of Theoretical and Applied Information Technology, 102(8).

Gurrapu, N., Reddy, C. L., Rama Krishnaiah, V. V. J., Aalam, S. S., & Suresh, K. (2024). Evaluating the potential of mesh networks in enhancing rural connectivity based on Internet of Things. Journal of Intelligent Systems & Internet of Things, 12(2).

Shaik, R., Mandala, S. K., Aluri, Y. K., Kumar, V. P., Supriya, P. L., & Gurrapu, N. (2025). Wireless energy harvesting (WEH) and spectrum sharing in cognitive radio networks. 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI).

Kaur, A., & Gurrapu, N. (2025). Smart diagnosis: Transforming nail disease identification with deep learning. 2025 International Conference on Next Generation Communication & Information Systems (NGCIS).

Gurrapu, N., & Baydeti, N. (2025). Rumor detection from online social media through feature selection and machine learning. Multimedia Tools and Applications, 1–25.

Gurrapu, N., Krishna, J. S. V. G., Dhumpati, R., Mantena, J. S., & Penubaka, K. K. R. (2025). Effective summarization techniques for legal document analysis. 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL).

Reddy, L. C. S., Gottipalli, M., Sravanthi, P., Rajanikanth, J., Yalamarthi, G., et al. (2024). Bridging horizons in diabetes prediction: A comparative exploration of machine learning and deep learning approaches in Pima Indian women. 2024 2nd International Conference on Advancement in Computation & Computer Communication Technologies (ACCCT).

Subrahmanyam, V., Janaki, V., Rao, P. S., Gurrapu, N., Mandala, S. K., & Roshan, R. (2024). Internet of Things (IoT) based data analysis for feature selection by hybrid swarm intelligence (SI) algorithm. 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management (INTCON).

Md.Umal Wara,G.Neelima, ” An Efficient Intrusion Detection Scheme for Mitigating Nodes Using Data Aggregation in Delay Tolerant Network”, International Journal of Research, p-ISSN: 2348-6848 e-ISSN: 2348-795X, Volume 03 ,Issue 13 ,September 2016.

Godde.Varamma, Gurrapu.Neelima, “The Effective Genuine Significant Exchange Protocal For Pnfs”, International Journal Of Merging Technology And Advanced Research In Computing”, IJMTARC – VOLUME – V – ISSUE - 18 – JUNE , 2017, ISSN: 2320-1363

Sushmitha. M, . G. Neelima, “Distributed Opportunistic Routing in wireless ad hoc networks”, Journal for Studies in Management and Planning”, ISSN: 2395-0463 ,Volume 03 ,Issue 03 ,June 2017.

Suresh Kumar Mandala, Neelima Gurrapu, Mahipal Reddy Pulyala, “ A Study on the Development of Machine Learing in Health Analysis”, Indian Journal of Public Health Research & Development, volume 9, Number 12, December 2018, [ISSN-0976-0245(Print)-ISSN-0976-5506 (Electronic)]

Suresh Kumar Mandala, Neelima Gurrapu, “Machine Learning Method That Integrates Domain Name Understanding Throughout Model Selection”, Airo International Research Journal, Volume VII,March 2016[ISSN: 2320-3714].

Suresh Kumar Mandala.Neelima Gurrapu, “Advanced machine learning and data science based approach for prediction of cancer using dynamic clustering”, Materials Today: Proceedings,2021,ISSN 2214-7853,https://doi.org/10.1016/j.matpr.2021.01.456.

Neelima Gurrapu,Nagaraju Baydeti, ” Composite User Behaviour Assisted Rumour Detection over Online Social Media”, INSPEC Accession Number: 22960445, DOI: 10.1109/ICMACC54824.2022.10093405