Actor Critic Learning: A Near Set Approach. - Shamama Anwar; K. Sridhar Patnaik (RSCTC, 2008)

Influence of temperature on Swarmbots that Learn. - K. Sridhar Patnaik; James F. Peters; Shamama Anwar (Cybern. Syst., 2008)

Can a metric judge usability of software? A psychometric walkthrough. - Pooja Jha; K. Sridhar Patnaik (Int. J. Comput. Appl. Technol., 2018)

Introducing a Fuzzy Model for Cost Cognizant Software Test Case Prioritization. - Rajendrani Mukherjee; K. Sridhar Patnaik (TENCON, 2019)

Prioritizing JUnit Test Cases Without Coverage Information: An Optimization Heuristics Based Approach. - Rajendrani Mukherjee; K. Sridhar Patnaik (IEEE Access, 2019)

Architectural Modelling of Cyber Physical Systems Using UML. - K. Sridhar Patnaik; Itu Snigdh (Int. J. Cyber Phys. Syst., 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)

A survey on different approaches for software test case prioritization. - Rajendrani Mukherjee; K. Sridhar Patnaik (J. King Saud Univ. Comput. Inf. Sci., 2021)

Improved prediction of software defects using ensemble machine learning techniques. - Sweta Mehta; K. Sridhar Patnaik (Neural Comput. Appl., 2021)

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., 2023)

Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review. - Yogesh H. Bhosale; K. Sridhar Patnaik (Neural Process. Lett., 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., 2023)

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)

Nested deep learning with learned network embeddings for software defect prediction. - Sweta Mehta; Lov Kumar; Sanjay Misra; K. Sridhar Patnaik; Vikram Singh 005 (Appl. Soft Comput., 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., 2025)

Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight. - Saket Kumar Singh; K. Sridhar Patnaik (Multim. Tools Appl., 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., 2025)