Guru Ghasidas Vishwavidyalaya

गुरु घासीदास विश्‍वविद्यालय, बिलासपुर

Guru Ghasidas Vishwavidyalaya, Bilaspur

Department of Electronics and Communication Engineering

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Dr. Prabira Kumar Sethy

Associate Professor

Work Experience

14.5 Years

Area of Specialization

Image Processing, Machine Learning, Deep Learning

Projects & Patents

1. Project Title: Deep Learning-based automatic classification of histological images for breast cancer diagnosis
Principal Investigator: Dr. Prabira Kumar Sethy
Scheme: Faculty Research Scheme, SRIC, Sambalpur University
Funding Agency: Sambalpur University
2. Project Title: Yield and Maturity Estimation of Fruits in Deep Learning-based Method
CO-PI: Dr. Prabira Kumar Sethy
Scheme: Faculty Research Scheme, SRIC, Sambalpur University
Funding Agency: Sambalpur University
3. Project Title: Identification of Diseases and Mineral Deficiencies of Rice Plant based on Machine Learning Approach in the natural Environment.
PI-Dr. Prabira Kumar Sethy
Scheme: Mukhyamantri Research and Innovation Fellowship Program (MRIP) Extramural Funding Funding Agency: Odisha State Higher Education Council
4. Patent Title: “n4riceleaf: AN ANDROID/WEB BASED APPLICATION TO ESTIMATE NITROGEN CONCENTRATION IN RICE CROP”. Granted on dated 19.09.2020. Patent No. 2020102343. Patent Application No. 2020102343.
5. Copy Right Title: “IOT BASED MANAGEMENT AND PREDICTION OF CURRENCY FLOW THROUGH UPI TRANSACTION”. Granted on date of Registration 26.09.2022. Date of Issue 21.11.2022. Copyright No. 1196409.

Education

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

Achievments/Awards/Honors

1. Best Paper Award for the research paper “Face Mask Detection in Public Places Using Small CNN Models”, in 2nd International Conference on Intelligent and Cloud Computing 2021, organized by Department of Computer Science and Engineering, ITER, SOA University, Bhubaneswar.
2. “InSc Young Achiever Award” for the research paper “Detection of coronavirus (COVID-19) based on Deep Features and Support Vector Machine, organized by Institute of Scholars, Registered under Ministry of MSME, Government of India, in the year 2020.
3. Best Research Paper presented award in IEEE International Conference on Communication and Signal Processing (ICCSP-2017), Chennai, India.

Publications

[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)