Krishnaraj Chadaga

According to our database, Krishnaraj Chadaga authored at least 19 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Quantifying Resilience of CNN-Based Brain Tumor Classification Under FGSM, PGD, and BIM Attacks.

Reeti Jaswal, Vikas Khullar, Surya Narayan Panda, Krishnaraj Chadaga, Deepali Gupta, Sapna Juneja, Abeer A. Al-Masri

IEEE Access, 2026

2025

Smart health monitoring: an interactive Raspberry Pi-based system for managing diabetes and hypertension in children.

Ruppikha Sree Shankar, Tanuja Shailesh, R. Vijaya Arjunan, Krishnaraj Chadaga, D. Cenitta

J. Cloud Comput., December, 2025

Cardiac Clarity: Harnessing Machine Learning for Accurate Heart-Disease Prediction.

Sujith Santhosh, Krishnaraj Chadaga, R. Vijaya Arjunan, Sandra D'Souza

IEEE Access, 2025

Efficient Romanian Dialect Identification in Low-Resource Conditions Using Transfer-Learning and Metric-Learning.

Aardra H, Ananya Angra, H. Muralikrishna, Krishnaraj Chadaga, Dileep Aroor Dinesh, Prashanth Kannadaguli

IEEE Access, 2025

Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model.

D. Cenitta, R. Vijaya Arjunan, Ganesh Paramasivam, N. Arul, Anisha Palkar, Krishnaraj Chadaga

IEEE Access, 2025

2024

Detection of sickle cell disease using deep neural networks and explainable artificial intelligence.

Neelankit Gautam Goswami, Anushree Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Krishnaraj Chadaga, Sushma Belurkar

J. Intell. Syst., February, 2024

Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence.

Krishnaraj Chadaga, Varada Vivek Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Anisha Palkar

J. Intell. Syst., February, 2024

Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy.

Liora Rosvin Dsilva, Shivani Harish Tantri, Niranjana Sampathila, Hilda Mayrose, Giliyar Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Krishnaraj Chadaga, Abdul Hafeez-Baig

Int. J. Imaging Syst. Technol., January, 2024

Digital Pathology in Healthcare: Current Trends and Future Perspective.

Neelankit Gautam Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Krishnaraj Chadaga, Anushree Goswami, Sushma Belurkar

Int. J. Online Biomed. Eng., 2024

Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI.

Anisha Palkar, Cifha Crecil Dias, Krishnaraj Chadaga, Niranjana Sampathila

IEEE Access, 2024

Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases.

Roshan Kumar, V. Srirama, Krishnaraj Chadaga, H. Muralikrishna, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga

IEEE Access, 2024

An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas.

Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth

IEEE Access, 2024

Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health.

Venkatesh A. Bhandage, Srikanth Prabhu, Balachandra S. Hadimani, Krishnaraj Chadaga, Niranjana Sampathila, Sucharitha Shetty

IEEE Access, 2024

2023

Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings.

Anusha Krishnamoorthy, Giliyar Muralidhar Bairy, Siddeshappa Nandish, Hilda Mayrose, Niranjana Sampathila, Krishnaraj Chadaga

Comput., February, 2023

Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence.

Susmita S., Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Swathi Katta S.

Inf., 2023

Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach.

Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga

Intell. Decis. Technol., 2023

2022

Classification of Malaria Using Object Detection Models.

Padmini Krishnadas, Krishnaraj Chadaga, Niranjana Sampathila, Santhosha Rao, Swathi Katta S., Srikanth Prabhu

Informatics, December, 2022

Diagnosing COVID-19 using artificial intelligence: a comprehensive review.

Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Shashikiran Umakanth

Netw. Model. Anal. Health Informatics Bioinform., 2022

Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters.

Aditya Pradhan, Srikanth Prabhu, Krishnaraj Chadaga, Saptarshi Sengupta, Gopal Nath

Inf., 2022