K. Sridhar Patnaik

Orcid: 0000-0002-4994-4489

According to our database1, K. Sridhar Patnaik authored at least 12 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review.
Multim. Tools Appl., October, 2023

Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review.
Neural Process. Lett., June, 2023

PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray images to minimize severity and mortality rates.
Biomed. Signal Process. Control., March, 2023

2021
Improved prediction of software defects using ensemble machine learning techniques.
Neural Comput. Appl., 2021

A survey on different approaches for software test case prioritization.
J. King Saud Univ. Comput. Inf. Sci., 2021

2019
Relative risk proneness in phases of software development: metric based approach with Cox model.
Int. J. Syst. Assur. Eng. Manag., 2019

Architectural Modelling of Cyber Physical Systems Using UML.
Int. J. Cyber Phys. Syst., 2019

Prioritizing JUnit Test Cases Without Coverage Information: An Optimization Heuristics Based Approach.
IEEE Access, 2019

Introducing a Fuzzy Model for Cost Cognizant Software Test Case Prioritization.
Proceedings of the TENCON 2019, 2019

2018
Can a metric judge usability of software? A psychometric walkthrough.
Int. J. Comput. Appl. Technol., 2018

2008
Influence of temperature on Swarmbots that Learn.
Cybern. Syst., 2008

Actor Critic Learning: A Near Set Approach.
Proceedings of the Rough Sets and Current Trends in Computing, 2008


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