Deepak, Malapaka D. Venkata Naga Sai, Maguluri Bharath Kumar Reddy, Mudrageda Vani Venkata Sri Vaishnavi, M. Hanuma Seetha Rami Reddy, Nadimpalli Ritu Sarvani, and Sridevi Bonthu. "A Prototype Decision-Support Framework for Short-Term Groundwater Level Forecasting using DWLR Time-Series and Hybrid Deep Learning." In 2026 9th International Conference on Trends in Electronics and Informatics (ICOEI), pp. 1392-1397. IEEE, 2026. 

Chandana, Veeranki Bala, and Sridevi Bonthu. "Hybrid CNN–LSTM Framework for Short-Term Reservoir Storage Forecasting: A Comparative Study with Traditional Models." In 2026 9th International Conference on Inventive Computation Technologies (ICICT), pp. 1660-1664. IEEE, 2026. 

Lakshmi Ganesh, S., B. Krishna Rao, T. V. Nagaraju, G. Sri Bala, and Bonthu Sridevi. "Regression-Based Machine Learning Models for Limestone Calcined Clay Cement (LC3) Concrete Strength Prediction." In International Conference on Artificial Intelligence for Resilient Infrastructure and Sustainable Engineering Materials, pp. 137-146. Singapore: Springer Nature Singapore, 2025. 

Bonthu, Sridevi, V. Vinuthna, R. Veera MahaLakshmi, John Dasari, Maheswara Rao VVR, and Ramachandra Rao Kurada. "Unified Model for Crop Optimization: Leveraging Deep Learning and XGBoost for Optimized Crop Management." In 2025 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), pp. 1-6. IEEE, 2025. 

Nalla, Harshitha Lakshmi Durga, Anusha Bhuchupalli, Tejasree Addala, Yasasri Sabbineni, Koppisetti Sravya Geetha, Ghantasala Aasha, and Sridevi Bonthu. "AquaMap: Empowering Communities to Report and Map Water-Related Issues in Real-Time with Deep Learning." In International Conference on Cognitive Computing and Cyber Physical Systems, pp. 296-305. Cham: Springer Nature Switzerland, 2024. 

Talla, Ganesh Venkata Sundar, Toram Rajeev Akhil, Surendra Thatikonda, Tarun potnuru, Chirravuri Surya Naga Sai Lalitha, and Sridevi Bonthu. "AI-Driven Glaucoma Susceptibility Assessment and Lifestyle Guidance." In International Conference on Cognitive Computing and Cyber Physical Systems, pp. 234-240. Cham: Springer Nature Switzerland, 2024. 

Charan Tejas, Parimi, Marnala Murali Sriram Ganapathi, Parepalli Mahesh Babu, Kosuru Surya Sai, Godi Amulya, and Sridevi Bonthu. "Optimizing Crop Health: Evaluating CNN Performance in Plant Disease Detection." In International Conference on Cognitive Computing and Cyber Physical Systems, pp. 151-162. Cham: Springer Nature Switzerland, 2024. 

Appala, Satya Vamsi Kumar, S. V. V. D. Jagadeesh, and M. Durga Satish. "Bone Fracture Prediction Using Machine Learning and Deep Learning Techniques." Advances in Machine Learning and Big Data Analytics I: ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30: 325. 

Bonthu, Sridevi, Kompella Bhargava Kiran, Mamatha Deenakonda, VVR Maheswara Rao, and S. V. V. D. Jagadeesh. "Multi-label and Multi-class Classification on a Custom Dataset using Convolution Neural Networks." In 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 576-579. IEEE, 2023. 

Mulukutla, Vamsi Krishna, Sai Supriya Pavarala, Vinay Kumar Kareti, Sujan Midatani, and Sridevi Bonthu. "Sentiment Analysis of Twitter Data on ‘The Agnipath Yojana’." In International Conference on Multi-disciplinary Trends in Artificial Intelligence, pp. 534-542. Cham: Springer Nature Switzerland, 2023. 

Bonthu, Sridevi, Abhinav Dayal, Arla Lakshmana Rao, and Sumit Gupta. "QuMaDe: Quick Foreground Mask and Monocular Depth Data Generation." In International Conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, pp. 236-246. Cham: Springer Nature Switzerland, 2023. 

Mahesh, Cheegiti, Runkana Durga Prasad, Epanagandla Asha Bibi, Abhinav Dayal, and Sridevi Bonthu. "Comparative Analysis of Pretrained Models for Speech Enhancement in Noisy Environments." In International Conference on Cognitive Computing and Cyber Physical Systems, pp. 274-287. Cham: Springer Nature Switzerland, 2023. 

VVR, Maheswara Rao, N. Silpa, Shiva Shankar Reddy, Sridevi Bonthu, Ramachandra Rao Kurada, and Vunnam Vaishalini. "An Optimized Ensemble Machine Learning Framework for Water Quality Assessment System by Leveraging Forward Sequential Minimum Redundancy Maximum Relevance Feature Selection Method." In 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), pp. 1-8. IEEE, 2023. 

Bonthu, Sridevi, Hema Sankar Sai Ganesh Babu Muddam, Koushik Varma Mudunuri, Abhinav Dayal, VVR Maheswara Rao, and Bharat Kumar Bolla. "TextRank–Based Keyword Extraction for Constructing a Domain-Specific Dictionary." In International Conference on Cognitive Computing and Cyber Physical Systems, pp. 340-349. Cham: Springer Nature Switzerland, 2023. 

Silpa, N., Vunnam Vaishalini, Sripada VSS Lakshmi, Maheswara Rao VVR, Ramachandra Rao Kurada, and Sridevi Bonthu. "Empowering Diabetic Prediction through MRMR-Driven Feature Selection and Robustness of Ensemble Machine Learning." In 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS), pp. 1-7. IEEE, 2023. 

Maheswara Rao, V. V. R., N. Silpa, Shiva Shankar Reddy, S. Mahaboob Hussain, Sridevi Bonthu, and Padma Jyothi Uppalapati. "An Optimized Ensemble Machine Learning Framework for Multi-class Classification of Date Fruits by Integrating Feature Selection Techniques." In International Conference on Cognitive Computing and Cyber Physical Systems, pp. 12-27. Cham: Springer Nature Switzerland, 2023. 

Tiwari, Anubhav, Bharath Kumar Bolla, and Sridevi Bonthu. "Machine Learning and NLP Approach to Predict Hospitalization Upon Adverse Drug Reaction Symptoms of Covid-19 Vaccine Administration." In International Conference on Artificial Intelligence and Knowledge Processing, pp. 344-358. Cham: Springer Nature Switzerland, 2023. 

Kurada, Ramachandra Rao, Sunil Pattem, Y. Ramu, Maheswara Rao VVR, N. Silpa, and Sridevi Bonthu. "Raitu Vrudhi–An Android based Mobile Application for Agro-Marketing." In 2023 4th International Conference for Emerging Technology (INCET), pp. 1-7. IEEE, 2023. 

Jyothi, Uppalapati Padma, Madhavi Dabbiru, Sridevi Bonthu, Abhinav Dayal, and Narasimha Rao Kandula. "Comparative analysis of classification methods to predict diabetes mellitus on noisy data." In Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021, pp. 301-313. Singapore: Springer Nature Singapore, 2023. 

VVR, Maheswara Rao, N. Silpa, Mahesh Gadiraju, Shiva Shankar Reddy, Sridevi Bonthu, and Ramachandra Rao Kurada. "A plausible RNN-LSTM based profession recommendation system by predicting human personality types on social media forums." In 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), pp. 850-855. IEEE, 2023. 

Kovvuri, Avinash Reddy, Padma Jyothi Uppalapati, Sridevi Bonthu, and Narasimha Rao Kandula. "Water level forecasting in reservoirs using time series analysis–auto ARIMA model." In International Conference on Cognitive Computing and Cyber Physical Systems, pp. 192-200. Cham: Springer Nature Switzerland, 2022. 

Boddapati, Mohan Sai Dinesh, Madhavi Sai Chatradi, Sridevi Bonthu, and Abhinav Dayal. "YouTube comment analysis using lexicon based techniques." In International Conference on Cognitive Computing and Cyber Physical Systems, pp. 76-85. Cham: Springer Nature Switzerland, 2022. 

Bonthu, Sridevi, Abhinav Dayal, M. Sri Lakshmi, and S. Rama Sree. "Effective text augmentation strategy for nlp models." In Proceedings of third international conference on sustainable computing: SUScOM 2021, pp. 521-531. Springer Singapore, 2022. 

Bonthu, Sridevi, S. Rama Sree, and M. H. M. Krishna Prasad. "Text2pycode: machine translation of natural language intent to python source code." In Machine Learning and Knowledge Extraction: 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17–20, 2021, Proceedings 5, pp. 51-60. Springer International Publishing, 2021. 

Bonthu, Sridevi, S. Rama Sree, and M. H. M. Krishna Prasad. "Automated short answer grading using deep learning: A survey." In Machine Learning and Knowledge Extraction: 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021, Virtual Event, August 17–20, 2021, Proceedings 5, pp. 61-78. Springer International Publishing, 2021. 

Arla, Lakshmana Rao, Sridevi Bonthu, and Abhinav Dayal. "Multiclass spoken language identification for Indian Languages using deep learning." In 2020 IEEE Bombay Section Signature Conference (IBSSC), pp. 42-45. IEEE, 2020.