K. Sridhar Patnaik

According to our database, K. Sridhar Patnaik authored at least 17 papers between 2008 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Patho-AI: A Perceptive Breast Cancer Identification and Classification Using Deep Learning Methods Integrated with Explainable AI.

Saket Kumar Singh, K. Sridhar Patnaik

SN Comput. Sci., August, 2025

Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight.

Saket Kumar Singh, K. Sridhar Patnaik

Multim. Tools Appl., May, 2025

Thoracic-net: Explainable artificial intelligence (XAI) based few shots learning feature fusion technique for multi-classifying thoracic diseases using medical imaging.

Yogesh H. Bhosale, K. Sridhar Patnaik, Shrinivas R. Zanwar, Saket Kumar Singh, Vandana Singh, Ulhas B. Shinde

Multim. Tools Appl., March, 2025

Nested deep learning with learned network embeddings for software defect prediction.

Sweta Mehta, Lov Kumar, Sanjay Misra, K. Sridhar Patnaik, Vikram Singh

Appl. Soft Comput., 2025

2024

Autonomous UAV navigation using deep learning-based computer vision frameworks: A systematic literature review.

Aditya Vardhan Reddy Katkuri, Hakka Madan, Narendra Khatri, Antar Shaddad Abdul-Qawy, K. Sridhar Patnaik

Array, 2024

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.

Yogesh H. Bhosale, K. Sridhar Patnaik

Multim. Tools Appl., October, 2023

Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review.

Yogesh H. Bhosale, K. Sridhar Patnaik

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.

Yogesh H. Bhosale, K. Sridhar Patnaik

Biomed. Signal Process. Control., March, 2023

2021

Improved prediction of software defects using ensemble machine learning techniques.

Sweta Mehta, K. Sridhar Patnaik

Neural Comput. Appl., 2021

A survey on different approaches for software test case prioritization.

Rajendrani Mukherjee, K. Sridhar Patnaik

J. King Saud Univ. Comput. Inf. Sci., 2021

2019

Relative risk proneness in phases of software development: metric based approach with Cox model.

Pooja Jha, K. Sridhar Patnaik

Int. J. Syst. Assur. Eng. Manag., 2019

Architectural Modelling of Cyber Physical Systems Using UML.

K. Sridhar Patnaik, Itu Snigdh

Int. J. Cyber Phys. Syst., 2019

Prioritizing JUnit Test Cases Without Coverage Information: An Optimization Heuristics Based Approach.

Rajendrani Mukherjee, K. Sridhar Patnaik

IEEE Access, 2019

Introducing a Fuzzy Model for Cost Cognizant Software Test Case Prioritization.

Rajendrani Mukherjee, K. Sridhar Patnaik

Proceedings of the TENCON 2019, 2019

2018

Can a metric judge usability of software? A psychometric walkthrough.

Pooja Jha, K. Sridhar Patnaik

Int. J. Comput. Appl. Technol., 2018

2008

Influence of temperature on Swarmbots that Learn.

K. Sridhar Patnaik, James F. Peters, Shamama Anwar

Cybern. Syst., 2008

Actor Critic Learning: A Near Set Approach.

Shamama Anwar, K. Sridhar Patnaik

Proceedings of the Rough Sets and Current Trends in Computing, 2008