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ORCIDSanti Kumari Behera
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2020 – today
- 2024
[j19]Gyana Ranjana Panigrahi
, Prabira Kumar Sethy, Santi Kumari Behera, Manoj Gupta, Farhan A. Alenizi, Pannee Suanpang, Aziz Nanthaamornphong:
Analytical Validation and Integration of CIC-Bell-DNS-EXF-2021 Dataset on Security Information and Event Management. IEEE Access 12: 83043-83056 (2024)- [j18]Gyana Ranjana Panigrahi, Prabira Kumar Sethy, Santi Kumari Behera, Manoj Gupta, Farhan A. Alenizi, Aziz Nanthaamornphong:
Enhancing Security in Real-Time Video Surveillance: A Deep Learning-Based Remedial Approach for Adversarial Attack Mitigation. IEEE Access 12: 88913-88926 (2024) - [j17]Jagamohan Padhi, Laxminarayana Korada, Ashis Dash, Prabira Kumar Sethy, Santi Kumari Behera, Aziz Nanthaamornphong:
Paddy Leaf Disease Classification Using EfficientNet B4 With Compound Scaling and Swish Activation: A Deep Learning Approach. IEEE Access 12: 126426-126437 (2024) - [j16]Santi Kumari Behera, Mannava Srinivasa Rao, Rajat Amat, Prabira Kumar Sethy:
Bi-layer deep feature fusion based mineral classification using hand-specimen images. J. Intell. Fuzzy Syst. 46(3): 6969-6976 (2024) - [j15]Santi Kumari Behera, Komma Anitha, Rajat Amat, Prabira Kumar Sethy:
ResNet101-SVM: Hybrid convolutional neural network for citrus fruits classification. J. Intell. Fuzzy Syst. 46(3): 7035-7045 (2024) - [j14]Ankita Patra, Santi Kumari Behera, Prabira Kumar Sethy, Nalini Kanta Barpanda:
Breast mass density categorisation using deep transferred EfficientNet with support vector machines. Multim. Tools Appl. 83(30): 74883-74896 (2024) - [j13]Santi Kumari Behera, Shishir Prasad Dash, Rajat Amat, Prabira Kumar Sethy:
Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101. Int. J. Syst. Assur. Eng. Manag. 15(3): 1294-1304 (2024) - 2023
- [j12]Prabira Kumar Sethy, Millee Panigrahi, K. Vijayakumar, Santi Kumari Behera:
Machine learning based classification of EEG signal for detection of child epileptic seizure without snipping. Int. J. Speech Technol. 26(3): 559-570 (2023) - 2022
- [j11]Prabira Kumar Sethy, Santi Kumari Behera, Nithiyananthan Kannan:
Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine. J. Digit. Imaging 35(5): 1207-1216 (2022) - [j10]Prabira Kumar Sethy, Chanki Pandey, Yogesh Kumar Sahu, Santi Kumari Behera:
Hyperspectral imagery applications for precision agriculture - a systemic survey. Multim. Tools Appl. 81(2): 3005-3038 (2022) - [j9]Prabira Kumar Sethy, Santi Kumari Behera:
Automatic classification with concatenation of deep and handcrafted features of histological images for breast carcinoma diagnosis. Multim. Tools Appl. 81(7): 9631-9643 (2022) - 2021
- [j8]Sourav Kumar Purohit, Sibarama Panigrahi, Prabira Kumar Sethy, Santi Kumari Behera:
Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods. Appl. Artif. Intell. 35(15): 1388-1406 (2021) - [j7]Santi Kumari Behera, Prabira Kumar Sethy, Santosh Kumar Sahoo, Sibarama Panigrahi, Sharad Chandra Rajpoot:
On-tree fruit monitoring system using IoT and image analysis. Concurr. Eng. Res. Appl. 29(1) (2021) - [j6]Prabira Kumar Sethy, Santi Kumari Behera, Nithiyananthan Kannan, Sridevi Narayanan, Chanki Pandey:
Smart paddy field monitoring system using deep learning and IoT. Concurr. Eng. Res. Appl. 29(1) (2021) - [j5]Prabira Kumar Sethy, Chanki Pandey, Mohammad Rafique Khan, Santi Kumari Behera, K. Vijaykumar, Sibarama Panigrahi:
A cost-effective computer-vision based breast cancer diagnosis. J. Intell. Fuzzy Syst. 41(5): 5253-5263 (2021) - [j4]Santi Kumari Behera, Amiya Kumar Rath, Prabira Kumar Sethy:
Fruits yield estimation using Faster R-CNN with MIoU. Multim. Tools Appl. 80(12): 19043-19056 (2021) - [j3]Prabira Kumar Sethy, Santi Kumari Behera:
A data constrained approach for brain tumour detection using fused deep features and SVM. Multim. Tools Appl. 80(19): 28745-28760 (2021) - 2020
- [j2]Prabira Kumar Sethy, Nalini Kanta Barpanda, Amiya Kumar Rath, Santi Kumari Behera:
Deep feature based rice leaf disease identification using support vector machine. Comput. Electron. Agric. 175: 105527 (2020) - [j1]Prabira Kumar Sethy, Nalini Kanta Barpanda, Amiya Kumar Rath, Santi Kumari Behera:
Nitrogen Deficiency Prediction of Rice Crop Based on Convolutional Neural Network. J. Ambient Intell. Humaniz. Comput. 11(11): 5703-5711 (2020)
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last updated on 2024-10-04 19:58 CEST by the dblp team
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