Parvathaneni Naga Srinivasu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Health Insurance

Top Venues

Diagnostics (Basel, Switzerland)

Journal of healthcare engineering

Sensors (Basel, Switzerland)

Healthcare (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Parvathaneni Naga Srinivasu, Uddagiri Sirisha, Kotte Sandeep, S Phani Praveen, Lakshmana Phaneendra Maguluri, Thulasi Bikku
An Interpretable Approach with Explainable AI for Heart Stroke Prediction. Diagnostics (Basel, Switzerland) 14 (2) (2024)
Parvathaneni Naga Srinivasu, Uddagiri Sirisha, Kotte Sandeep, S Phani Praveen, Lakshmana Phaneendra Maguluri, Thulasi Bikku
An Interpretable Approach with Explainable AI for Heart Stroke Prediction. Diagnostics (Basel, Switzerland) 14 (2) (2024)
Parvathaneni Naga Srinivasu, T Balamurali Krishna, Shakeel Ahmed, Naif Almusallam, Fawaz Khaled Alarfaj, Nasser Allheeib
Variational Autoencoders-BasedSelf-Learning Model for Tumor Identification and Impact Analysis from 2-D MRI Images. Journal of healthcare engineering 2023 (2023)
Shakeel Ahmed, Parvathaneni Naga Srinivasu, Abdulaziz Alhumam
A Software Framework for Intelligent Security Measures Regarding Sensor Data in the Context of Ambient Assisted Technology. Sensors (Basel, Switzerland) 23 (14) (2023)
Parvathaneni Naga Srinivasu, T Balamurali Krishna, Shakeel Ahmed, Naif Almusallam, Fawaz Khaled Alarfaj, Nasser Allheeib
Variational Autoencoders-BasedSelf-Learning Model for Tumor Identification and Impact Analysis from 2-D MRI Images. Journal of healthcare engineering 2023 (2023)
Parvathaneni Naga Srinivasu, T Balamurali Krishna, Shakeel Ahmed, Naif Almusallam, Fawaz Khaled Alarfaj, Nasser Allheeib
Variational Autoencoders-BasedSelf-Learning Model for Tumor Identification and Impact Analysis from 2-D MRI Images. Journal of healthcare engineering 2023 (2023)
Parvathaneni Naga Srinivasu, T Balamurali Krishna, Shakeel Ahmed, Naif Almusallam, Fawaz Khaled Alarfaj, Nasser Allheeib
Variational Autoencoders-BasedSelf-Learning Model for Tumor Identification and Impact Analysis from 2-D MRI Images. Journal of healthcare engineering 2023 (2023)
Parvathaneni Naga Srinivasu, Jana Shafi, T Balamurali Krishna, Canavoy Narahari Sujatha, S Phani Praveen, Muhammad Fazal Ijaz
Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data. Diagnostics (Basel, Switzerland) 12 (12) (2022)
Shakeel Ahmed, Parvathaneni Naga Srinivasu, Abdulaziz Alhumam, Mohammed Alarfaj
AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients. Diagnostics (Basel, Switzerland) 12 (11) (2022)
S Phani Praveen, Parvathaneni Naga Srinivasu, Jana Shafi, Marcin Woźniak, Muhammad Fazal Ijaz
ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides. Scientific reports 12 (1) (2022)
Pratiyush Guleria, Shakeel Ahmed, Abdulaziz Alhumam, Parvathaneni Naga Srinivasu
Empirical Study on Classifiers for Earlier Prediction of COVID-19 Infection Cure and Death Rate in the Indian States. Healthcare (Basel, Switzerland) 10 (1) (2022)
Parvathaneni Naga Srinivasu, Jana Shafi, T Balamurali Krishna, Canavoy Narahari Sujatha, S Phani Praveen, Muhammad Fazal Ijaz
Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data. Diagnostics (Basel, Switzerland) 12 (12) (2022)
Adarsh Vulli, Parvathaneni Naga Srinivasu, Madipally Sai Krishna Sashank, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz
Fine-Tuned DenseNet-169 for Breast Cancer Metastasis Prediction Using FastAI and 1-Cycle Policy. Sensors (Basel, Switzerland) 22 (8) (2022)
Parvathaneni Naga Srinivasu, Jalluri Gnana SivaSai, Muhammad Fazal Ijaz, Akash Kumar Bhoi, Wonjoon Kim, James Jin Kang
Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM. Sensors (Basel, Switzerland) 21 (8) (2021)