K. Sridhar Patnaik

20 papers C 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
MammXAI: An XAI integrated adaptive multi-model deep learning approach for breast cancer detection using multi-modality images.
Biomed. Signal Process. Control.
Saket Kumar Singh, K. Sridhar Patnaik
2026 J jnl
Optimizing software defect prediction performance via call graph embedding and feature selection.
Clust. Comput.
Sweta Mehta, Sanjay Misra, Lov Kumar, K. Sridhar Patnaik
2025 J jnl
Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight.
Multim. Tools Appl.
Saket Kumar Singh, K. Sridhar Patnaik
2025 J jnl
Nested deep learning with learned network embeddings for software defect prediction.
Appl. Soft Comput.
Sweta Mehta, Lov Kumar, Sanjay Misra, K. Sridhar Patnaik, Vikram Singh
2025 J jnl
Patho-AI: A Perceptive Breast Cancer Identification and Classification Using Deep Learning Methods Integrated with Explainable AI.
SN Comput. Sci.
Saket Kumar Singh, K. Sridhar Patnaik
2025 J jnl
Thoracic-net: Explainable artificial intelligence (XAI) based few shots learning feature fusion technique for multi-classifying thoracic diseases using medical imaging.
Multim. Tools Appl.
Yogesh H. Bhosale, K. Sridhar Patnaik, Shrinivas R. Zanwar, Saket Kumar Singh, Vandana Singh, Ulhas B. Shinde
2024 J jnl
Autonomous UAV navigation using deep learning-based computer vision frameworks: A systematic literature review.
Array
Aditya Vardhan Reddy Katkuri, Hakka Madan, Narendra Khatri, Antar Shaddad Abdul-Qawy, K. Sridhar Patnaik
2024 — conf
Deep Learning Approaches for Hypoxic-Ischemic Encephalopathy Detection in Neonates Using Ultrasound Imaging.
MIND (1)
K. Sridhar Patnaik, Itu Snigdh, Rajeev Mishra, Rajeev Kumar Ranjan, M. Rajesh Kumar Rao, Chitranjan Kumar Rai, Saket Kumar Singh, Manisha Oraon, Riya Agarwal, Harish Shivprasad Gupta, Md. Shahrukh, Prakhar Suresh Srivastava, Ruchi Pandey
2023 J jnl
Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review.
Neural Process. Lett.
Yogesh H. Bhosale, K. Sridhar Patnaik
2023 J jnl
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.
Yogesh H. Bhosale, K. Sridhar Patnaik
2023 J jnl
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.
Yogesh H. Bhosale, K. Sridhar Patnaik
2021 J jnl
A survey on different approaches for software test case prioritization.
J. King Saud Univ. Comput. Inf. Sci.
Rajendrani Mukherjee, K. Sridhar Patnaik
2021 J jnl
Improved prediction of software defects using ensemble machine learning techniques.
Neural Comput. Appl.
Sweta Mehta, K. Sridhar Patnaik
2019 J jnl
Architectural Modelling of Cyber Physical Systems Using UML.
Int. J. Cyber Phys. Syst.
K. Sridhar Patnaik, Itu Snigdh
2019 C conf
Introducing a Fuzzy Model for Cost Cognizant Software Test Case Prioritization.
TENCON
Rajendrani Mukherjee, K. Sridhar Patnaik
2019 J jnl
Prioritizing JUnit Test Cases Without Coverage Information: An Optimization Heuristics Based Approach.
IEEE Access
Rajendrani Mukherjee, K. Sridhar Patnaik
2019 J jnl
Relative risk proneness in phases of software development: metric based approach with Cox model.
Int. J. Syst. Assur. Eng. Manag.
Pooja Jha, K. Sridhar Patnaik
2018 J jnl
Can a metric judge usability of software? A psychometric walkthrough.
Int. J. Comput. Appl. Technol.
Pooja Jha, K. Sridhar Patnaik
2008 — conf
Actor Critic Learning: A Near Set Approach.
RSCTC
Shamama Anwar, K. Sridhar Patnaik
2008 J jnl
Influence of temperature on Swarmbots that Learn.
Cybern. Syst.
K. Sridhar Patnaik, James F. Peters, Shamama Anwar