Volumetric Estimation of the Damaged Area in the Human Brain from 2D MR Image. - Parvathaneni Naga Srinivasu; T. Srinivasa Rao; Valentina Emilia Balas (Int. J. Inf. Syst. Model. Des., 2020)

A comparative review of optimisation techniques in segmentation of brain MR images. - Parvathaneni Naga Srinivasu; T. Srinivasa Rao; Anca Mihaela Dicu; Corina Anca Mnerie; Iustin Olariu (J. Intell. Fuzzy Syst., 2020)

Plant Leaf Disease Detection Using CNN Algorithm. - Deepalakshmi P.; Prudhvi Krishna T.; Siri Chandana S.; Lavanya K.; Parvathaneni Naga Srinivasu (Int. J. Inf. Syst. Model. Des., 2021)

Probabilistic Deep Q Network for real-time path planning in censorious robotic procedures using force sensors. - Parvathaneni Naga Srinivasu; Akash Kumar Bhoi; Rutvij H. Jhaveri; Thippa Reddy Gadekallu; Muhammad Bilal 003 (J. Real Time Image Process., 2021)

Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS. - Parvathaneni Naga Srinivasu; Valentina Emilia Balas (PeerJ Comput. Sci., 2021)

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM. - Parvathaneni Naga Srinivasu; Jalluri Gnana SivaSai; Muhammad Fazal Ijaz; Akash Kumar Bhoi; Wonjoon Kim; James Jin Kang (Sensors, 2021)

6G Driven Fast Computational Networking Framework for Healthcare Applications. - Parvathaneni Naga Srinivasu; Muhammad Fazal Ijaz; Jana Shafi; Marcin Wozniak; Sujatha Radhakrishnan (IEEE Access, 2022)

Mathematical modelling for prediction of spread of corona virus and artificial intelligence/machine learning-based technique to detect COVID-19 via smartphone sensors. - Sumeet Goyal; Digvijay Pandey; Harjinder Singh; Joginder Singh; Rahul Kakkar; Parvathaneni Naga Srinivasu (Int. J. Model. Identif. Control., 2022)

Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN. - Parvathaneni Naga Srinivasu; Ranjit Panigrahi; Ashish Singh; Akash Kumar Bhoi (J. Circuits Syst. Comput., 2022)

Fine-Tuned DenseNet-169 for Breast Cancer Metastasis Prediction Using FastAI and 1-Cycle Policy. - Adarsh Vulli; Parvathaneni Naga Srinivasu; Madipally Sai Krishna Sashank; Jana Shafi; Jaeyoung Choi 001; Muhammad Fazal Ijaz (Sensors, 2022)

Associative Discussion Among Generating Adversarial Samples Using Evolutionary Algorithm and Samples Generated Using GAN. - Aruna Animish Pavate; Rajesh Bansode; Parvathaneni Naga Srinivasu; Jana Shafi; Jaeyoung Choi 001; Muhammad Fazal Ijaz (IEEE Access, 2023)

A Unified Metering System Deployed for Water and Energy Monitoring in Smart City. - N. Sushma; H. N. Suresh 002; Mohana Lakshmi Jayaramu; Parvathaneni Naga Srinivasu; Akash Kumar Bhoi; Paolo Barsocchi (IEEE Access, 2023)

Multi-Features Disease Analysis Based Smart Diagnosis for COVID-19. - Sirisati Ranga Swamy; Surapaneni Phani Praveen; Shakeel Ahmed; Parvathaneni Naga Srinivasu; Abdulaziz Alhumam (Comput. Syst. Sci. Eng., 2023)

Software-driven secure framework for mobile healthcare applications in IoMT. - T. Bala Murali Krishna; Surapaneni Phani Praveen; Shakeel Ahmed; Parvathaneni Naga Srinivasu (Intell. Decis. Technol., 2023)

A transfer learning-based system for grading breast invasive ductal carcinoma. - Radhakrishnan Sujatha; Jyotir Moy Chatterjee; Anastassia Angelopoulou; Epaminondas Kapetanios; Parvathaneni Naga Srinivasu; Jude Hemanth Duraisamy (IET Image Process., 2023)

TFAD: TCP flooding attack detection in software-defined networking using proxy-based and machine learning-based mechanisms. - K. Muthamil Sudar; P. Deepalakshmi; Ashish Singh; Parvathaneni Naga Srinivasu (Clust. Comput., 2023)

A Software Framework for Intelligent Security Measures Regarding Sensor Data in the Context of Ambient Assisted Technology. - Shakeel Ahmed; Parvathaneni Naga Srinivasu; Abdulaziz Alhumam (Sensors, 2023)

Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection. - U. Sirisha; Surapaneni Phani Praveen; Parvathaneni Naga Srinivasu; Paolo Barsocchi; Akash Kumar Bhoi (Int. J. Comput. Intell. Syst., 2023)

Advanced diabetic retinopathy detection with the R-CNN: A unified visual health solution. - Valluri Sri Sravya; Parvathaneni Naga Srinivasu; Jana Shafi; Waldemar Holubowski; Adam Zielonka (Int. J. Appl. Math. Comput. Sci., 2024)

A Study on Outlier Detection and Feature Engineering Strategies in Machine Learning for Heart Disease Prediction. - Varada Rajkumar Kukkala; Surapaneni Phani Praveen; Naga Satya Koti Mani Kumar Tirumanadham; Parvathaneni Naga Srinivasu (Comput. Syst. Sci. Eng., 2024)

A novel approach for assessing the damaged region in MRI through improvised GA and SGO. - Parvathaneni Naga Srinivasu; G. Srinivas; T. Srinivasa Rao; Valentina Emilia Balas (Int. J. Adv. Intell. Paradigms, 2024)

Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays. - G. V. Eswara Rao; Rajitha Bakthula; Parvathaneni Naga Srinivasu; Muhammad Fazal Ijaz; Marcin Wozniak (Biomed. Signal Process. Control., 2024)

XAI-driven model for crop recommender system for use in precision agriculture. - Parvathaneni Naga Srinivasu; Muhammad Fazal Ijaz; Marcin Wozniak (Comput. Intell., 2024)

Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm. - Pratiyush Guleria; Parvathaneni Naga Srinivasu; M. Hassaballah 001 (Multim. Tools Appl., 2024)

SegAN for Recognition of Caries From 2D-Panoramic X-Ray Images. - Parvathaneni Naga Srinivasu; Gorli L. Aruna Kumari; D. Jaya Kumari; Paolo Barsocchi; Akash Kumar Bhoi (IEEE Access, 2025)

NLP based text classification using TF-IDF enabled fine-tuned long short-term memory: An empirical analysis. - Pratiyush Guleria; Jaroslav Frnda; Parvathaneni Naga Srinivasu (Array, 2025)

Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8. - Rohan Vaghela; Darsh Vaishnani; Parvathaneni Naga Srinivasu; Yashvi Popat; Jigar Sarda; Marcin Wozniak; Muhammad Fazal Ijaz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Benchmarking YOLO Variants for Enhanced Blood Cell Detection. - Pooja Mehta; Rohan Vaghela; Nensi Pansuriya; Jigar Sarda; Nirav Bhatt; Akash Kumar Bhoi; Parvathaneni Naga Srinivasu (Int. J. Imaging Syst. Technol., 2025)