Krishnaraj Chadaga

According to our database, Krishnaraj Chadaga authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

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, G. Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Krishnaraj Chadaga, Abdul Hafeez-Baig

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

2023

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

Anusha Krishnamoorthy, G. 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