Parvathaneni Naga Srinivasu

According to our database, Parvathaneni Naga Srinivasu authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm.

Pratiyush Guleria, Parvathaneni Naga Srinivasu, M. Hassaballah

Multim. Tools Appl., April, 2024

XAI-driven model for crop recommender system for use in precision agriculture.

Parvathaneni Naga Srinivasu, Muhammad Fazal Ijaz, Marcin Wozniak

Comput. Intell., February, 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., February, 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

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., December, 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, July, 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., April, 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

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

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

A Unified Metering System Deployed for Water and Energy Monitoring in Smart City.

N. Sushma, H. N. Suresh, Mohana Lakshmi Jayaramu, Parvathaneni Naga Srinivasu, Akash Kumar Bhoi, Paolo Barsocchi

IEEE Access, 2023

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, Muhammad Fazal Ijaz

IEEE Access, 2023

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, Muhammad Fazal Ijaz

Sensors, 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

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

6G Driven Fast Computational Networking Framework for Healthcare Applications.

Parvathaneni Naga Srinivasu, Muhammad Fazal Ijaz, Jana Shafi, Marcin Wozniak, Sujatha Radhakrishnan

IEEE Access, 2022

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

Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS.

Parvathaneni Naga Srinivasu, Valentina Emilia Balas

PeerJ Comput. Sci., 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

J. Real Time Image Process., 2021

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

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

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