Prabira Kumar Sethy

Orcid: 0000-0003-3477-6715

Affiliations:
  • Sambalpur University, Odisha, India


According to our database1, Prabira Kumar Sethy authored at least 25 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Breast mass density categorisation using deep transferred EfficientNet with support vector machines.
Multim. Tools Appl., September, 2024

Statistical analysis and comparison of deep convolutional neural network models for the identification and classification of maize leaf diseases.
Multim. Tools Appl., August, 2024

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., March, 2024

Bi-layer deep feature fusion based mineral classification using hand-specimen images.
J. Intell. Fuzzy Syst., March, 2024

ResNet101-SVM: Hybrid convolutional neural network for citrus fruits classification.
J. Intell. Fuzzy Syst., March, 2024

Transformative insights: Image-based breast cancer detection and severity assessment through advanced AI techniques.
J. Intell. Syst., February, 2024

Analytical Validation and Integration of CIC-Bell-DNS-EXF-2021 Dataset on Security Information and Event Management.
IEEE Access, 2024

Enhancing Security in Real-Time Video Surveillance: A Deep Learning-Based Remedial Approach for Adversarial Attack Mitigation.
IEEE Access, 2024

Paddy Leaf Disease Classification Using EfficientNet B4 With Compound Scaling and Swish Activation: A Deep Learning Approach.
IEEE Access, 2024

Advancements in Deep Learning for Automated Diagnosis of Ophthalmic Diseases: A Comprehensive Review.
IEEE Access, 2024

2023
Machine learning based classification of EEG signal for detection of child epileptic seizure without snipping.
Int. J. Speech Technol., September, 2023

2022
Hyperspectral imagery applications for precision agriculture - a systemic survey.
Multim. Tools Appl., 2022

Automatic classification with concatenation of deep and handcrafted features of histological images for breast carcinoma diagnosis.
Multim. Tools Appl., 2022

Identification of wheat tiller based on AlexNet-feature fusion.
Multim. Tools Appl., 2022

Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine.
J. Digit. Imaging, 2022

2021
A data constrained approach for brain tumour detection using fused deep features and SVM.
Multim. Tools Appl., 2021

Fruits yield estimation using Faster R-CNN with MIoU.
Multim. Tools Appl., 2021

Extraction of melody from polyphonic music using modified morlet wavelet.
Microprocess. Microsystems, 2021

A cost-effective computer-vision based breast cancer diagnosis.
J. Intell. Fuzzy Syst., 2021

Speech quality evaluation for different pitch detection algorithms in LPC speech analysis-synthesis system.
Int. J. Speech Technol., 2021

Smart paddy field monitoring system using deep learning and IoT.
Concurr. Eng. Res. Appl., 2021

On-tree fruit monitoring system using IoT and image analysis.
Concurr. Eng. Res. Appl., 2021

Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods.
Appl. Artif. Intell., 2021

2020
Nitrogen Deficiency Prediction of Rice Crop Based on Convolutional Neural Network.
J. Ambient Intell. Humaniz. Comput., 2020

Deep feature based rice leaf disease identification using support vector machine.
Comput. Electron. Agric., 2020


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