Следене
KSridhar Patnaik
KSridhar Patnaik
Dept of Computer Science and Engg,BIT Mesra Ranchi,India
Потвърден имейл адрес: bitmesra.ac.in
Заглавие
Позовавания
Позовавания
Година
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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