Diagnosis of Covid-19 Cases with X-ray Images Using MLOps
In this paper, the authors have proposed a method through which the process of Hyper Parameter Tuning of the Deep Learning Models can be automated using the concept of MLOps.
Avik Kundu
Saurabh Bilgaiyan
Diagnosis of Radiological Images using Mask R-CNN
In this study, the authors have described a Mask R-CNN (region-based convolution neural network) approach for the detection of the ground glass opacities (GGOs) in chest CT images of COVID-19 infected persons.
Avik Kundu
Chandan Mishra
Saurabh Bilgaiyan
Framework for Selection of the IoT Device on Execution Context
In this study, the authors propose a novel framework to select the most suitable device for performing the task, based on execution context.
Avik Kundu
Sankalp Nayak
Sourabh Tiwari