Search Results - "Sethy, Prabira Kumar"

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  1. 1

    Enhancing Security in Real-Time Video Surveillance: A Deep Learning-Based Remedial Approach for Adversarial Attack Mitigation by Ranjana Panigrahi, Gyana, Kumar Sethy, Prabira, Kumari Behera, Santi, Gupta, Manoj, Alenizi, Farhan A., Nanthaamornphong, Aziz

    Published in IEEE access (2024)
    “…This paper introduces an innovative methodology to disrupt deep-learning (DL) surveillance systems by implementing an adversarial framework strategy, inducing…”
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    Journal Article
  2. 2

    Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine by Sethy, Prabira Kumar, Behera, Santi Kumari, Ratha, Pradyumna Kumar, Biswas, Preesat

    “…The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner. The coronavirus spread so quickly between people and approaches…”
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    Journal Article
  3. 3

    Maturity status classification of papaya fruits based on machine learning and transfer learning approach by Behera, Santi Kumari, Rath, Amiya Kumar, Sethy, Prabira Kumar

    Published in Information processing in agriculture (01-06-2021)
    “…Papaya (Carica papaya) is a tropical fruit having commercial importance because of its high nutritive and medicinal value. The packaging of papaya fruit as per…”
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    Journal Article
  4. 4

    Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods by Purohit, Sourav Kumar, Panigrahi, Sibarama, Sethy, Prabira Kumar, Behera, Santi Kumari

    Published in Applied artificial intelligence (15-12-2021)
    “…Accurate prediction of crop prices assists farmers to decide the best time to sell their produce so as to get maximum benefit and assists Government for…”
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    Journal Article
  5. 5

    Advancements and Challenges in the Image-Based Diagnosis of Lung and Colon Cancer: A Comprehensive Review by Patharia, Pragati, Sethy, Prabira Kumar, Nanthaamornphong, Aziz

    Published in Cancer informatics (2024)
    “…Image-based diagnosis has become a crucial tool in the identification and management of various cancers, particularly lung and colon cancer. This review delves…”
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    Journal Article
  6. 6

    Maize disease identification based on optimized support vector machine using deep feature of DenseNet201 by Dash, Arabinda, Sethy, Prabira Kumar, Behera, Santi Kumari

    Published in Journal of agriculture and food research (01-12-2023)
    “…In recent times, maize diseases have become widespread globally, adversely impacting agricultural productivity and causing significant financial losses…”
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    Journal Article
  7. 7

    Cervical Transformation Zone Segmentation and Classification based on Improved Inception-ResNet-V2 Using Colposcopy Images by Dash, Srikanta, Sethy, Prabira Kumar, Behera, Santi Kumari

    Published in Cancer informatics (01-01-2023)
    “…The second most frequent malignancy in women worldwide is cervical cancer. In the transformation(transitional) zone, which is a region of the cervix, columnar…”
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    Journal Article
  8. 8

    Paddy Leaf Disease Classification Using EfficientNet B4 With Compound Scaling and Swish Activation: A Deep Learning Approach by Padhi, Jagamohan, Korada, Laxminarayana, Dash, Ashis, Sethy, Prabira Kumar, Behera, Santi Kumari, Nanthaamornphong, Aziz

    Published in IEEE access (2024)
    “…This research presents an advanced paddy disease classification model utilizing the EfficientNet B4 deep learning architecture trained on the publicly…”
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    Journal Article
  9. 9

    Enhancing oral squamous cell carcinoma detection: a novel approach using improved EfficientNet architecture by Soni, Aradhana, Sethy, Prabira Kumar, Dewangan, Amit Kumar, Nanthaamornphong, Aziz, Behera, Santi Kumari, Devi, Baishnu

    Published in BMC oral health (23-05-2024)
    “…Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer globally, leading to the loss of structural integrity within the oral cavity layers and…”
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    Journal Article
  10. 10

    Transformative insights: Image-based breast cancer detection and severity assessment through advanced AI techniques by Patra, Ankita, Biswas, Preesat, Behera, Santi Kumari, Barpanda, Nalini Kanta, Sethy, Prabira Kumar, Nanthaamornphong, Aziz

    Published in Journal of intelligent systems (07-10-2024)
    “…In the realm of image-based breast cancer detection and severity assessment, this study delves into the revolutionary potential of sophisticated artificial…”
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    Journal Article
  11. 11

    Analytical Validation and Integration of CIC-Bell-DNS-EXF-2021 Dataset on Security Information and Event Management by Panigrahi, Gyana Ranjana, Sethy, Prabira Kumar, Behera, Santi Kumari, Gupta, Manoj, Alenizi, Farhan A., Suanpang, Pannee, Nanthaamornphong, Aziz

    Published in IEEE access (2024)
    “…Contemporary culture presents a substantial obstacle for cyber security experts in the shape of software vulnerabilities, which, if taken advantage of, can…”
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    Journal Article
  12. 12

    Few-shot learning convolutional neural network for primitive indian paddy grain identification using 2D-DWT injection and grey wolf optimizer algorithm by Naik, Nabin Kumar, Sethy, Prabira Kumar, Devi, A. Geetha, Behera, Santi Kumari

    Published in Journal of agriculture and food research (01-03-2024)
    “…Rice (Oryza sativa) is extensively taken and sold throughout the world. The most common primitive paddy are Goswami, Jamuna, Jamut, Mamata, Pooja, Rambanbas,…”
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    Journal Article
  13. 13

    A methodical analysis of deep learning techniques for detecting Indian lentils by Naik, Nabin Kumar, Sethy, Prabira Kumar, Behera, Santi Kumari, Amat, Rajat

    Published in Journal of agriculture and food research (01-03-2024)
    “…Automatic identification of Indian lentils requires the selection of a suitable classification model among various CNN models. The CNN models are the most…”
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    Journal Article
  14. 14

    A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors by Rajpoot, Sharad Chandra, Pandey, Chanki, Rajpoot, Prashant Singh, Singhai, Sanjay Kumar, Sethy, Prabira Kumar

    “…This paper proposes a SUGPDS model based on Detection and Isolation algorithm and smart sensors, namely micro phasor measurement unit, smart sensing and…”
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    Journal Article
  15. 15

    Machine learning with analysis-of-variance-based method for identifying rice varieties by Naik, Nabin Kumar, Subbarao, M. Venkata, Sethy, Prabira Kumar, Behera, Santi Kumari, Panigrahi, Gyana Ranjan

    Published in Journal of agriculture and food research (01-12-2024)
    “…Rice, which has the highest production and consumption rates worldwide, is one of the main nutrients in our country because it is economical and nutritious…”
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    Journal Article
  16. 16

    Deep feature extraction based cascading model for the classification of Fusarium stalk rot and charcoal rot disease in maize plant by Dash, Arabinda, Sethy, Prabira Kumar, Patro, S Gopal Krishna, Salau, Ayodeji Olalekan

    Published in Informatics in medicine unlocked (2023)
    “…Maize stalk rot infection is one of the most important causes of production loss in some regions of India. However, it is difficult to diagnose maize disease…”
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    Journal Article
  17. 17

    Identification of wheat tiller based on AlexNet-feature fusion by Sethy, Prabira Kumar

    Published in Multimedia tools and applications (01-03-2022)
    “…Wheat genotype identification is possible with proper recognition of its tiller. It is again challenging to recognize the wheat tiller in complex imaging…”
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    Journal Article
  18. 18

    Deep feature based rice leaf disease identification using support vector machine by Sethy, Prabira Kumar, Barpanda, Nalini Kanta, Rath, Amiya Kumar, Behera, Santi Kumari

    Published in Computers and electronics in agriculture (01-08-2020)
    “…•This study evaluates the performance of 13 CNN models for rice disease identification in transfer learning and deep features plus SVM approach.•The…”
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    Journal Article
  19. 19

    Statistical analysis and comparison of deep convolutional neural network models for the identification and classification of maize leaf diseases by Dash, Arabinda, Sethy, Prabira Kumar

    Published in Multimedia tools and applications (07-02-2024)
    “…Maize, as well as other plants, are particularly susceptible to various illnesses. Therefore, one of the most crucial ways for farmers to prevent crop loss is…”
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    Journal Article
  20. 20

    Almond Quality Assessment using Image Processing Techniques by Kumar Naik, Nabin, Kumar Sethy, Prabira, Kumari Behera, Santi

    “…In the last ten years, almond production has grown because an increasing number of people believe that almonds are good for their health. Almond kernels…”
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    Conference Proceeding