Krishnaraj Chadaga

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantifying Resilience of CNN-Based Brain Tumor Classification Under FGSM, PGD, and BIM Attacks.
IEEE Access
Reeti Jaswal, Vikas Khullar, Surya Narayan Panda, Krishnaraj Chadaga, Deepali Gupta, Sapna Juneja, Abeer A. Al-Masri
2025 J jnl
Cardiac Clarity: Harnessing Machine Learning for Accurate Heart-Disease Prediction.
IEEE Access
Sujith Santhosh, Krishnaraj Chadaga, R. Vijaya Arjunan, Sandra D'Souza
2025 J jnl
Efficient Romanian Dialect Identification in Low-Resource Conditions Using Transfer-Learning and Metric-Learning.
IEEE Access
Aardra H, Ananya Angra, H. Muralikrishna, Krishnaraj Chadaga, Dileep Aroor Dinesh, Prashanth Kannadaguli
2025 J jnl
Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model.
IEEE Access
D. Cenitta, R. Vijaya Arjunan, Ganesh Paramasivam, N. Arul, Anisha Palkar, Krishnaraj Chadaga
2025 J jnl
Smart health monitoring: an interactive Raspberry Pi-based system for managing diabetes and hypertension in children.
J. Cloud Comput.
Ruppikha Sree Shankar, Tanuja Shailesh, R. Vijaya Arjunan, Krishnaraj Chadaga, D. Cenitta
2024 J jnl
An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas.
IEEE Access
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth
2024 J jnl
Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health.
IEEE Access
Venkatesh A. Bhandage, Srikanth Prabhu, Balachandra S. Hadimani, Krishnaraj Chadaga, Niranjana Sampathila, Sucharitha Shetty
2024 J jnl
Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence.
J. Intell. Syst.
Krishnaraj Chadaga, Varada Vivek Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Anisha Palkar
2024 J jnl
Detection of sickle cell disease using deep neural networks and explainable artificial intelligence.
J. Intell. Syst.
Neelankit Gautam Goswami, Anushree Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Krishnaraj Chadaga, Sushma Belurkar
2024 J jnl
Digital Pathology in Healthcare: Current Trends and Future Perspective.
Int. J. Online Biomed. Eng.
Neelankit Gautam Goswami, Niranjana Sampathila, Giliyar Muralidhar Bairy, Krishnaraj Chadaga, Anushree Goswami, Sushma Belurkar
2024 J jnl
Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI.
IEEE Access
Anisha Palkar, Cifha Crecil Dias, Krishnaraj Chadaga, Niranjana Sampathila
2024 J jnl
Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases.
IEEE Access
Roshan Kumar, V. Srirama, Krishnaraj Chadaga, H. Muralikrishna, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga
2024 J jnl
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy.
Int. J. Imaging Syst. Technol.
Liora Rosvin Dsilva, Shivani Harish Tantri, Niranjana Sampathila, Hilda Mayrose, Giliyar Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Krishnaraj Chadaga, Abdul Hafeez-Baig
2023 J jnl
Channel Intensity and Edge-Based Estimation of Heart Rate via Smartphone Recordings.
Comput.
Anusha Krishnamoorthy, Giliyar Muralidhar Bairy, Siddeshappa Nandish, Hilda Mayrose, Niranjana Sampathila, Krishnaraj Chadaga
2023 J jnl
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence.
Inf.
Susmita S., Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Swathi Katta S.
2023 J jnl
Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach.
Intell. Decis. Technol.
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga
2022 J jnl
Classification of Malaria Using Object Detection Models.
Informatics
Padmini Krishnadas, Krishnaraj Chadaga, Niranjana Sampathila, Santhosha Rao, Swathi Katta S., Srikanth Prabhu
2022 J jnl
Diagnosing COVID-19 using artificial intelligence: a comprehensive review.
Netw. Model. Anal. Health Informatics Bioinform.
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga, Shashikiran Umakanth
2022 J jnl
Supervised Learning Models for the Preliminary Detection of COVID-19 in Patients Using Demographic and Epidemiological Parameters.
Inf.
Aditya Pradhan, Srikanth Prabhu, Krishnaraj Chadaga, Saptarshi Sengupta, Gopal Nath