A survey on different approaches for software test case prioritization R Mukherjee, KS Patnaik Journal of King Saud University-Computer and Information Sciences 33 (9 …, 2021 | 76 | 2021 |
Application of deep learning techniques in diagnosis of covid-19 (coronavirus): a systematic review YH Bhosale, KS Patnaik Neural processing letters 55 (3), 3551-3603, 2023 | 75 | 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 … YH Bhosale, KS Patnaik Biomedical Signal Processing and Control 81, 104445, 2023 | 56 | 2023 |
IoT deployable lightweight deep learning application for COVID-19 detection with lung diseases using RaspberryPi YH Bhosale, KS Patnaik 2022 International conference on IoT and blockchain technology (ICIBT), 1-6, 2022 | 48 | 2022 |
Improved prediction of software defects using ensemble machine learning techniques S Mehta, KS Patnaik Neural Computing and Applications 33 (16), 10551-10562, 2021 | 47 | 2021 |
Data classification: A rough-SVM approach DK Srivastava, KS Patnaik, L Bhambhu Contemporary Engineering Sciences 3 (2), 77-86, 2010 | 27 | 2010 |
Prioritizing JUnit test cases without coverage information: An optimization heuristics based approach R Mukherjee, KS Patnaik IEEE Access 7, 78092-78107, 2019 | 15 | 2019 |
Occlusion invariant face recognition system A Khadatkar, R Khedgaonkar, KS Patnaik 2016 World Conference on Futuristic Trends in Research and Innovation for …, 2016 | 13 | 2016 |
Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and … YH Bhosale, KS Patnaik Multimedia Tools and Applications 82 (25), 39157-39210, 2023 | 12 | 2023 |
Analysis of clustering algorithms for MR image segmentation using IQI S Patel, KS Patnaik Procedia Technology 6, 387-396, 2012 | 12 | 2012 |
Perceptual resemblance of facial images: a near set approach KS Patnaik, A Mustafi Ind. J. Comp. Sci. & Engg 1 (3), 152-6, 2010 | 8 | 2010 |
Graph and capsule convolutional neural network based classification of lung cancer, pneumonia, COVID-19 using lung CT and ultrasound radiography imaging YH Bhosale, KS Patnaik 2022 8th international conference on signal processing and communication …, 2022 | 7 | 2022 |
COVID-19 and associated lung disease classification using deep learning YH Bhosale, P Singh, KS Patnaik International Conference on Innovative Computing and Communications …, 2022 | 7 | 2022 |
Stacking based ensemble learning for improved software defect prediction S Mehta, KS Patnaik Proceeding of Fifth International Conference on Microelectronics, Computing …, 2021 | 6 | 2021 |
ECG-CCNet: Cardiovascular (Cardiac) and COVID‑19 Disease Classification Using Deep Convolutional Neural Network Learning Pipeline Approaches From Electrocardiography (ECG)-A Study YH Bhosale, KS Patnaik 2022 IEEE Silchar Subsection Conference (SILCON), 1-6, 2022 | 5 | 2022 |
Introducing a fuzzy model for cost cognizant software test case prioritization R Mukherjee, KS Patnaik TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 504-509, 2019 | 5 | 2019 |
Modified rough fuzzy C means algorithm for MR image segmentation A Bhattacharya, KS Patnaik 2013 International Conference on Machine Intelligence and Research …, 2013 | 5 | 2013 |
Actor critic learning: A near set approach S Anwar, KS Patnaik Rough Sets and Current Trends in Computing: 6th International Conference …, 2008 | 5 | 2008 |
Proposed Metrics for Process Capability Analysis in Improving Software Quality: An Empirical Study KS Patnaik, P Jha International Journal of Software Engineering and Technology (IJSET) 1, 152-164, 2016 | 4 | 2016 |
Plastic surgery facial image correspondence: a near set approach KS Patnaik, A Sanober International Journal of Computer Applications 42 (1), 16-22, 2012 | 4 | 2012 |