Search Results - "Behera, Santi Kumari"

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  1. 1

    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
  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

    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
  6. 6

    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
  7. 7

    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
  8. 8

    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
  9. 9

    Maximizing steel slice defect detection: Integrating ResNet101 deep features with SVM via Bayesian optimization by Sethy, Prabira Kumar, Korada, Laxminarayana, Behera, Santi Kumari, Shirole, Akshay, Amat, Rajat, Nanthaamornphong, Aziz

    Published in Systems and soft computing (01-12-2024)
    “…•Robust method leveraging ResNet101 deep features and SVM classification for accurate steel defect detection.•Bayesian optimization used to fine-tune SVM…”
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    Journal Article
  10. 10

    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
  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

    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
  15. 15

    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
  16. 16

    Statistical Selection of CNN Models for Citrus Fruit Disease Prediction by Amat, Rajat, Sethy, Prabira Kumar, Behera, Santi Kumari, Mallick, Sunil

    “…Automatic prediction of citrus fruit diseases requires the selection of a suitable classification model among various Convolutional Neural Network (CNN)…”
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    Conference Proceeding
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    Breast Cancer Cell Segmentation Using Attention-Based Deep Neural Network by Patra, Ankita, Barpanda, Nalini Kanta, Sethy, Prabira Kumar, Das, Ashis, Behera, Santi Kumari, Nanda, Amlan

    “…Early diagnosis is crucial for the treatment of breast cancer, the most prevalent disease in women globally. Segmenting cancer cells from photographs of breast…”
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    Conference Proceeding
  19. 19

    Automated Breast Density Assessment using Image Processing Techniques by Patra, Ankita, Behera, Santi Kumari, Kanta Barpanda, Nalini, Sethy, Prabira Kumar

    “…Breast density estimation with visual evaluation is still challenging due to low contrast and significant fluctuations in the mammograms' fatty tissue…”
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    Conference Proceeding
  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