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KSridhar Patnaik
KSridhar Patnaik
Dept of Computer Science and Engg,BIT Mesra Ranchi,India
Verified email at bitmesra.ac.in
Title
Cited by
Cited by
Year
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
742023
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
742021
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
522023
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
472022
Improved prediction of software defects using ensemble machine learning techniques
S Mehta, KS Patnaik
Neural Computing and Applications 33 (16), 10551-10562, 2021
452021
Data classification: A rough-SVM approach
DK Srivastava, KS Patnaik, L Bhambhu
Contemporary Engineering Sciences 3 (2), 77-86, 2010
272010
Prioritizing JUnit test cases without coverage information: An optimization heuristics based approach
R Mukherjee, KS Patnaik
IEEE Access 7, 78092-78107, 2019
152019
Occlusion invariant face recognition system
A Khadatkar, R Khedgaonkar, KS Patnaik
2016 World Conference on Futuristic Trends in Research and Innovation for …, 2016
132016
Analysis of clustering algorithms for MR image segmentation using IQI
S Patel, KS Patnaik
Procedia Technology 6, 387-396, 2012
122012
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
112023
Perceptual resemblance of facial images: a near set approach
KS Patnaik, A Mustafi
Ind. J. Comp. Sci. & Engg 1 (3), 152-6, 2010
82010
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
72022
COVID-19 and associated lung disease classification using deep learning
YH Bhosale, P Singh, KS Patnaik
International Conference on Innovative Computing and Communications …, 2022
72022
Stacking based ensemble learning for improved software defect prediction
S Mehta, KS Patnaik
Proceeding of Fifth International Conference on Microelectronics, Computing …, 2021
62021
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
52022
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
52019
Modified rough fuzzy C means algorithm for MR image segmentation
A Bhattacharya, KS Patnaik
2013 International Conference on Machine Intelligence and Research …, 2013
52013
Actor critic learning: A near set approach
S Anwar, KS Patnaik
Rough Sets and Current Trends in Computing: 6th International Conference …, 2008
52008
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
42016
Plastic surgery facial image correspondence: a near set approach
KS Patnaik, A Sanober
International Journal of Computer Applications 42 (1), 16-22, 2012
42012
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