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KSridhar Patnaik
KSridhar Patnaik
Dept of Computer Science and Engg,BIT Mesra Ranchi,India
Dirección de correo verificada de bitmesra.ac.in
Título
Citado por
Citado por
Año
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
952023
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
882021
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
812023
Improved prediction of software defects using ensemble machine learning techniques
S Mehta, KS Patnaik
Neural Computing and Applications 33 (16), 10551-10562, 2021
702021
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
572022
Data classification: A rough-SVM approach
DK Srivastava, KS Patnaik, L Bhambhu
Contemporary Engineering Sciences 3 (2), 77-86, 2010
282010
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
222023
Prioritizing JUnit test cases without coverage information: An optimization heuristics based approach
R Mukherjee, KS Patnaik
IEEE Access 7, 78092-78107, 2019
162019
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
142022
Occlusion invariant face recognition system
A Khadatkar, R Khedgaonkar, KS Patnaik
2016 World Conference on Futuristic Trends in Research and Innovation for …, 2016
142016
Analysis of clustering algorithms for MR image segmentation using IQI
S Patel, KS Patnaik
Procedia Technology 6, 387-396, 2012
122012
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
112022
COVID-19 and associated lung disease classification using deep learning
YH Bhosale, P Singh, KS Patnaik
International Conference on Innovative Computing and Communications …, 2022
102022
Perceptual resemblance of facial images: a near set approach
KS Patnaik, A Mustafi
Ind. J. Comp. Sci. & Engg 1 (3), 152-6, 2010
82010
Stacking based ensemble learning for improved software defect prediction
S Mehta, KS Patnaik
Proceeding of Fifth International Conference on Microelectronics, Computing …, 2021
72021
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
A survey on different approaches for software test case prioritization
M Rajendrani, KS Patnaik
Journal of King Saud University Computer and Information Sciences, 2018
52018
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
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Artículos 1–20