User profiles for Manas R. Prusty
Manas Ranjan PrustyAssistant Professor Verified email at vit.ac.in Cited by 268 |
COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network
COVID-19 had caused the whole world to come to a standstill. The current detection methods
are time consuming as well as costly. Using Chest X-rays (CXRs) is a solution to this …
are time consuming as well as costly. Using Chest X-rays (CXRs) is a solution to this …
[HTML][HTML] Application of CRISPR/Cas9-mediated gene editing for abiotic stress management in crop plants
Abiotic stresses, including drought, salinity, cold, heat, and heavy metals, extensively
reducing global agricultural production. Traditional breeding approaches and transgenic …
reducing global agricultural production. Traditional breeding approaches and transgenic …
[HTML][HTML] Newly identified wild rice accessions conferring high salt tolerance might use a tissue tolerance mechanism in leaf
Cultivated rice (Oryza sativa L.) is very sensitive to salt stress. So far a few rice landraces
have been identified as a source of salt tolerance and utilized in rice improvement. These …
have been identified as a source of salt tolerance and utilized in rice improvement. These …
Weighted-SMOTE: A modification to SMOTE for event classification in sodium cooled fast reactors
MR Prusty, T Jayanthi, K Velusamy - Progress in Nuclear Energy, 2017 - Elsevier
Traditionally, the plight of imbalanced dataset and its classification quandary has been
counteracted mostly using under-sampling, over-sampling or ensemble sampling methods. …
counteracted mostly using under-sampling, over-sampling or ensemble sampling methods. …
Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network
N Muralidharan, S Gupta, MR Prusty, RK Tripathy - Applied Soft Computing, 2022 - Elsevier
The Coronavirus disease 2019 (COVID19) pandemic has led to a dramatic loss of human life
worldwide and caused a tremendous challenge to public health. Immediate detection and …
worldwide and caused a tremendous challenge to public health. Immediate detection and …
[HTML][HTML] Outlier-SMOTE: A refined oversampling technique for improved detection of COVID-19
VPK Turlapati, MR Prusty - Intelligence-based medicine, 2020 - Elsevier
Almost every dataset these days continually faces the predicament of class imbalance. It is
difficult to train classifiers on these types of data as they become biased towards a set of …
difficult to train classifiers on these types of data as they become biased towards a set of …
[HTML][HTML] Enhanced cyber attack detection process for internet of health things (IoHT) devices using deep neural network
…, K Pradeep, A Balasundaram, MR Prusty - Processes, 2023 - mdpi.com
Internet of Health Things plays a vital role in day-to-day life by providing electronic healthcare
services and has the capacity to increase the quality of patient care. Internet of Health …
services and has the capacity to increase the quality of patient care. Internet of Health …
Automated cataract disease detection on anterior segment eye images using adaptive thresholding and fine tuned inception-v3 model
Early detection of cataracts plays a vital role in ensuring the prevention of vision loss. This
paper aims to propose an algorithm that will act as an assistive measure in the process of …
paper aims to propose an algorithm that will act as an assistive measure in the process of …
[HTML][HTML] Elicitation of fruit fungi infection and its protective response to improve the postharvest quality of fruits
Fruit diseases brought on by fungus infestation leads to postharvest losses of fresh fruit.
Approximately 30% of harvested fruits do not reach consumers’ plates due to postharvest losses. …
Approximately 30% of harvested fruits do not reach consumers’ plates due to postharvest losses. …
[HTML][HTML] A novel data augmentation approach for mask detection using deep transfer learning
MR Prusty, V Tripathi, A Dubey - Intelligence-Based Medicine, 2021 - Elsevier
At the onset of 2020, the world saw the rise and spread of a global pandemic named COVID-19
which caused numerous deaths and affected millions of people around the world. Due to …
which caused numerous deaths and affected millions of people around the world. Due to …