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ORCIDNalini Chintalapudi
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2020 – today
- 2024
[j10]Gopi Battineni, Nalini Chintalapudi
, Giovanna Ricci, Ciro Ruocco, Francesco Amenta:
Exploring the integration of artificial intelligence (AI) and augmented reality (AR) in maritime medicine. Artif. Intell. Rev. 57(4): 100 (2024)- 2023
- [j9]Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi:
Automatic Classification of Hypertensive Retinopathy by Gray Wolf Optimization Algorithm and Naïve Bayes Classification. Axioms 12(7): 625 (2023) - [j8]Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi:
Improved Optimization Algorithm in LSTM to Predict Crop Yield. Comput. 12(1): 10 (2023) - [j7]Vinto Gujjar, Neeru Mago, Raj Kumari, Shrikant Patel, Nalini Chintalapudi, Gopi Battineni:
A Literature Survey on Word Sense Disambiguation for the Hindi Language. Inf. 14(9): 495 (2023) - 2022
- [j6]Gopi Battineni, Nalini Chintalapudi, Gregory Zacharewicz:
Process Mining in Clinical Practice: Model Evaluations in the Central Venous Catheter Installation Training. Algorithms 15(5): 153 (2022) - [j5]Usharani Bhimavarapu, Nalini Chintalapudi, Gopi Battineni:
A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN. Algorithms 15(6): 186 (2022) - [j4]Usharani Bhimavarapu, M. Sreedevi, Nalini Chintalapudi, Gopi Battineni:
Physical Activity Recommendation System Based on Deep Learning to Prevent Respiratory Diseases. Comput. 11(10): 150 (2022) - [j3]Manish Kumar Pandey, Anu Saini, Karthikeyan Subbiah, Nalini Chintalapudi, Gopi Battineni:
Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms. Inf. 13(8): 369 (2022) - 2021
- [j2]Nalini Chintalapudi, Gopi Battineni, Marzio Di Canio, Getu Gamo Sagaro, Francesco Amenta:
Text mining with sentiment analysis on seafarers' medical documents. Int. J. Inf. Manag. Data Insights 1(1): 100005 (2021) - [c3]Gopi Battineni, Nalini Chintalapudi, Francesco Amenta, Enea Traini:
Deep Learning Type Convolution Neural Network Architecture for Multiclass Classification of Alzheimer's Disease. BIOIMAGING 2021: 209-215 - 2020
- [j1]Gopi Battineni, Nalini Chintalapudi, Francesco Amenta:
Performance analysis of different machine learning algorithms in breast cancer predictions. EAI Endorsed Trans. Pervasive Health Technol. 6(23): e4 (2020) - [c2]Gopi Battineni, Nalini Chintalapudi, Francesco Amenta:
Comparative Machine Learning Approach in Dementia Patient Classification using Principal Component Analysis. ICAART (2) 2020: 780-784 - [c1]Madhu Arora, Lalit Mohan Goyal, Nalini Chintalapudi, Mamta Mittal:
Factors affecting digital education during COVID-19: A statistical modeling approach. ICCCS 2020: 1-5
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