Guru Ghasidas Vishwavidyalaya

गुरु घासीदास विश्‍वविद्यालय, बिलासपुर

Guru Ghasidas Vishwavidyalaya, Bilaspur

इलेक्ट्रॉनिक्स और संचार इंजीनियरिंग विभाग

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डॉ. प्रबीरा कुमार सेठी

सह-प्राध्यापक

कार्य अनुभव

14.5 Years

विशेषज्ञता का क्षेत्र

इमेज प्रोसेसिंग, मशीन लर्निंग, डीप लर्निंग

परियोजनाएं और पेटेंट

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शिक्षा

B.E., M. Tech., Ph.D.

उपलब्धियां/पुरस्कार/सम्मान

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प्रकाशनों

-[1] Naik, N. K., Sethy, P. K., Behera, S. K., & Amat, R. (2024). A methodical analysis of deep learning techniques for detecting Indian lentils. Journal of Agriculture and Food Research, 15. https://doi.org/10.1016/j.jafr.2023.100943 (Impact Factor: 3.8)
[2] Naik, N. K., Sethy, P. K., Devi, A. G., Behera, S. K., & Amat, R. (2024). Few-shot learning convolutional neural network for primitive Indian paddy grain identification using 2D-DWT injection and grey wolf optimizer algorithm. Journal of Agriculture and Food Research. https://doi.org/10.1016/j.jafr.2023.100929 (Impact Factor:3.8)
[3] Behera, S. K., Dash, S. P., Amat, R., Sethy, P. K., (2023). Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101. International Journal of Systems Assurance Engineering and Management. https://doi.org/10.1007/s13198-023-02220-8 (Impact Factor:2.0)
[4] Dash, A., Sethy, P. K., Behera, S. K. (2023). Maize disease identification based on optimized support vector machine using deep feature of Densenet201. Journal of Agriculture and Food Research. https://doi.org/10.1016/j.jafr.2023.10082(Impact Factor:3.8)
[5] Dash, A., Sethy, P. K., Patro, S. G. K., Salau, A. O. (2023). Deep feature extraction based cascading model for the classification of Fusarium stalk rot and charcoal rot disease in maize plant. Informatics in Medicine Unlocked, 42. https://doi.org/10.1016/j.imu.2023.101363
[6] Sethy, Prabira Kumar et al. (2023). Lung Cancer Histopathological Image Classification Using Wavelets and AlexNet. Journal of X-Ray Science and Technology, vol. Pre-press, no. Pre-press, pp. 1-11.DOI: 10.3233/XST-221301. (SCI Indexed)
[7] PK Sethy*, SK Behera (2022). Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine. Journal of Digital Imaging, Springer. DOI: 10.1007/s10278-022-00632-9 (SCI Indexed)
[8] PK Sethy*, SK Behera (2022). Automatic Classification with Concatenation of Deep and Handcrafted Features of Histological Images for Breast Carcinoma Diagnosis. Multimedia Tools and Applications, Springer. Vol. 81, pp. 9631–9643.DOI : 10.1007/s11042-021-11756-5 (SCI Indexed)
[9] PK Sethy*, C. Pandey, YK Sahu, SK Behera (2022). Hyperspectral imagery applications for precision agriculture - a systemic survey. Multimed Tools Appl., Springer. Vol. 81, pp. 3005–3038 https://doi.org/10.1007/s11042-021-11729-8
[10] S Panigrahi, SK Behera, PK Sethy (2021). Time Series Forecasting of Agricultural Products using Hybrid Methods. Applied Artificial Intelligence, Taylor Francis.Vol. 35, No. 15, pp. 1388-1406 https://doi.org/10.1080/08839514.2021.1981659 (SCI Indexed)
[11] PK Sethy*, SK Behera (2021). A Data Constrained Approach for Brain Tumour Detection using Fused Deep Features and SVM. Multimedia Tools and Applications, Springer; Vol. 80, pp. 28745–28760. DOI:10.1007/s11042-021-11098-2 (SCI Indexed)
[12] SC Rajpoot, C Pandey*, PK Sethy, PS Rajpoot and Prof. SK Singhai (2021). A Dynamic- SUGPDS model for Faults Detection and Isolation of Underground power cable based on Detection and Isolation Algorithm and Smart Sensors. Journal of Electrical Engineering & Technology, Springer.Vol. 16, pp. 1799–1819https://doi.org/10.1007/s42835-021-00715-7 (SCI Indexed)
[13] SK Behera, AK Rath, PK Sethy* (2021). Fruits Yield Estimation using Faster R-CNN with MIoU. Multimedia Tools and Applications, Springer. Vol. 80, pp. 19043–19056. https://doi.org/10.1007/s11042-021-10704-7 (SCI Indexed).
[14] PK Sethy, C Pandey*, Dr. M.R. Khan, SK Behera, Vijaykumar K and S Panigrahi (2021). A Cost-Effective Computer-Vision Based Breast Cancer Diagnosis. Journal of Intelligent and Fuzzy Systems, vol. 41, no. 5, pp. 5253-5263, 2021, IOS Press. DOI: 10.3233/JIFS-189848 (SCI Indexed).
[15] R Pradhan, MR Khan, PK Sethy and SK Majhi (2021). QALO-MOR: Improved Antlion Optimizer Based on Quantum Information Theory for Model Order Reduction. Journal of Intelligent and Fuzzy Systems, IOS Press. vol. 41, no. 5, pp. 5747-5757. DOI: 10.3233/JIFS-189894 (SCI Indexed)
[16] Sethy, P.K.(2021) Identification of wheat tiller based on AlexNet-feature fusion. Multimed Tools Appl 81, 8309–8316 (2022). https://doi.org/10.1007/s11042-022-12286-4
[17] PK Sethy*, SK Behera, A Komma, C Pandey and M.R. khan (2021). Computer aid screening of COVID-19 using X-ray and CT scan images:.An inner comparison. Journal of X-Ray Science and Technology. vol. 29, no. 2, pp. 197-210. DOI: 10.3233/XST-200784. (SCI Indexed)
[18] PK Sethy, SK Behera*, N Kannan, S Narayanan, and C Pandey. “Smart Paddy Field Monitoring System Using Deep Learning and IoT.” Concurrent Engineering, SAGE. Vol. 29(1), pp. 16-24. https://doi.org/10.1177/1063293X21988944. (SCI Indexed)
[19] SK Behera, PK Sethy*, SK Sahoo, S Panigrahi, and SC Rajpoot. “On-Tree Fruit Monitoring System Using IoT and Image Analysis.” Concurrent Engineering, SAGE, Vol.29(1), pp. 6-15. https://doi.org/10.1177/1063293X20988395. (SCI Indexed)
[20] S Panigrahi, R M Pattanayak, PK Sethy, SK Behera (2020). Sunspot Time Series Forecasting using a Hybrid Ensemble of ARIMA, ETS and SVM. Solar Physics 296, 6 (2021). https://doi.org/10.1007/s11207-020-01757-2 (SCI Indexed)
[21] N Kumar, R Kumar, G Murmu, PK Sethy*. Extraction of Melody from Polyphonic Music using Modified Morlet Wavelet. Microprocessors and Microsystems: 103612. DOI: 10.1016/j.micpro.2020.103612 (SCI Indexed)
[22] PK Sethy*, NK Barpanda, AK Rath, SK Behera (2020). Deep Feature Based Rice Leaf Disease Identification using Support Vector Machine. Computers and Electronics in Agriculture, Elsevier. https://doi.org/10.1016/j.compag.2020.105527. (SCI Indexed)
[23] SK Behera, AK Rath, A Mahapatra, PK Sethy*(2020). Identification, classification & grading of fruits using machine learning & computer intelligence: a review. Journal of Ambient Intelligence and Humanized Computing. Springer. DOI: https://doi.org/10.1007/s12652-020-01865-8. (SCI Indexed)
[24] PK Sethy*, NK Barpanda, AK Rath, SK Behera (2020). Nitrogen Deficiency Prediction of Rice Crop Based on Convolutional Neural Network. Journal of Ambient Intelligence and Humanized Computing. Springer. DOI: https://doi.org/10.1007/s12652-020-01938-8. (SCI Indexed)