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P
Prabira Kumar Sethy
Sambalpur University
29
H指数
183
论文数
3.9K
被引数
0
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26
发表时间
发表时间
IF
被引数
A benchmark dataset of Primitive Indian Paddy Panicle Images and identification via deep residual transfer learning
原始印度稻穗图像的基准数据集及基于深度残差迁移学习的识别
Data in Brief
IF
1.4
2026-06-01
0
OA
AI
Mishra, Kunal; Behera, Santi Kumari; Sethy, Prabira Kumar; Pamerelli, Ranjith; Smerat, Aseel; Khanna, Anita; Nanthaamornphong, Aziz
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Assessment of nutrient deficiency of rice plant based on modified ResNet50
基于改进ResNet50的水稻植物营养缺乏评估
Open Life Sciences
IF
1.7
2026-01-23
0
OA
AI
Behera, Santi Kumari; Muktinutalapati, Maruthi Venkata Bala Murali Krishna; Sethy, Prabira Kumar; Varma, N. Udaya Bhaskara; Nanthaamornphong, Aziz; Smerat, Aseel
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Computational Approaches to Neurological Disorder Diagnosis: An In-Depth Review of Current Methods and Future Prospects
神经系统疾病诊断的计算方法:当前方法与未来前景的深度综述
Current Medical Imaging
IF
1.1
2026-01-01
0
PRE
AI
Patel, Kabita; Sarathamani, T.; Kothandasamy, Kavitha; Sethy, Prabira Kumar; Behera, Santi Kumari; Nanthaamornphong, Aziz
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Enhanced Diagnosis of Lung and Colon Cancer Severity Through Deep Feature Analysis Using DenseNet201 and SVM With Histopathological Images: A Super-Resolution Approach
通过DenseNet201和SVM对组织病理图像进行深度特征分析,以超分辨率方法增强肺癌和结直肠癌严重程度的诊断
Cancer Reports
IF
1.9
2025-12-23
0
OA
AI
Patharia, Pragati; Rao, B. Surya Prasad; Sethy, Prabira Kumar; Ratha, Ashoka Kumar; Nanthaamornphong, Aziz
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A hybrid approach for soil classification: integrating lightweight convolutional neural network, attention mechanisms, and color features under resource constraints
一种土壤分类的混合方法:在资源约束条件下集成轻量级卷积神经网络、注意力机制和颜色特征
Proceedings of the Indian National Science Academy
IF
2.1
2025-12-01
0
PRE
AI
Behera, Santi Kumari; Vishwakarma, Sachin; Teresa, V. V.; Ratha, Ashoka Kumar; Sethy, Prabira Kumar; Nanthaamornphong, Aziz
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Domain-aligned feature extraction with Mobilenetv2-GRL and KNN for wheat leaf disease detection
基于MobileNetv2-GRL和KNN的领域对齐特征提取用于小麦叶部病害检测
Results in Engineering
IF
7.9
2025-11-07
0
OA
AI
M. Chilakarao; Santi Kumari Behera; K. Pavan Raju; Pratyush Preetam Dash; Prabira Kumar Sethy; Aziz Nanthaamornphong
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Detection of wheat panicle diseases with synthetic oversampling and quantum kernel-enhanced ResNet50-SVM
利用合成过采样和量子核增强的ResNet50-SVM检测小麦穗部病害
ENGINEERING RESEARCH EXPRESS
IF
1.6
2025-09-30
0
OA
AI
Chilakarao, M.; Behera, Santi Kumari; Ratha, Ashoka Kumar; Sethy, Prabira Kumar
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Optimizing papaya disease classification: A hybrid approach using deep features and PCA-enhanced machine learning
优化木瓜病害分类:一种结合深度特征和PCA增强机器学习的混合方法
JOURNAL OF INTELLIGENT SYSTEMS
IF
2
2025-09-19
0
OA
AI
Ratha, Ashoka Kumar; Barpanda, Nalini Kanta; Sethy, Prabira Kumar; Behera, Santi Kumari; Nanthaamornphong, Aziz
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Enhancing paddy leaf disease diagnosis -a hybrid CNN model using simulated thermal imaging
SMART AGRICULTURAL TECHNOLOGY
IF
5.7
2025-03-01
0
OA
AI
Padhi, Jagamohan; Mishra, Kunal; Ratha, Ashoka Kumar; Behera, Santi Kumari; Sethy, Prabira Kumar; Nanthaamornphong, Aziz
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Machine learning with analysis-of-variance-based method for identifying rice varieties
基于机器学习和方差分析的水稻品种识别方法
JOURNAL OF AGRICULTURE AND FOOD RESEARCH
IF
6.2
2024-12-01
0
OA
AI
Naik, Nabin Kumar; Subbarao, M. Venkata; Sethy, Prabira Kumar; Behera, Santi Kumari; Panigrahi, Gyana Ranjan
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A methodical analysis of deep learning techniques for detecting Indian lentils
JOURNAL OF AGRICULTURE AND FOOD RESEARCH
IF
6.2
2024-03-01
1
OA
AI
Naik, Nabin Kumar; Sethy, Prabira Kumar; Behera, Santi Kumari; Amat, Rajat
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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
IF
6.2
2024-03-01
1
OA
AI
Naik, Nabin Kumar; Sethy, Prabira Kumar; Devi, Geetha; Behera, Santi Kumari
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Breast mass density categorisation using deep transferred EfficientNet with support vector machines
MULTIMEDIA TOOLS AND APPLICATIONS
IF
3
2024-02-13
0
PRE
AI
Patra, Ankita; Behera, Santi Kumari; Sethy, Prabira Kumar; Barpanda, Nalini Kanta
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Statistical analysis and comparison of deep convolutional neural network models for the identification and classification of maize leaf diseases
深度卷积神经网络模型在玉米叶部病害识别分类中的统计分析与比较
MULTIMEDIA TOOLS AND APPLICATIONS
IF
3
2024-02-07
1
PRE
AI
Dash, Arabinda; Sethy, Prabira Kumar
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Paddy Leaf Disease Classification Using EfficientNet B4 With Compound Scaling and Swish Activation: A Deep Learning Approach
使用具有复合缩放和Swish激活功能的EfficientNet B4进行水稻叶病分类: 一种深度学习方法
IEEE ACCESS
IF
3.6
2024-01-01
2
OA
AI
Padhi, Jagamohan; Korada, Laxminarayana; Dash, Ashis; Sethy, Prabira Kumar; Behera, Santi Kumari; Nanthaamornphong, Aziz
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Enhancing Security in Real-Time Video Surveillance: A Deep Learning-Based Remedial Approach for Adversarial Attack Mitigation
IEEE ACCESS
IF
3.6
2024-01-01
0
OA
AI
Ranjana Panigrahi, Gyana; Kumar Sethy, Prabira; Kumari Behera, Santi; Gupta, Manoj; Alenizi, Farhan A.; Nanthaamornphong, Aziz
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Advancements in Deep Learning for Automated Diagnosis of Ophthalmic Diseases: A Comprehensive Review
IEEE ACCESS
IF
3.6
2024-01-01
0
OA
AI
Dash, Shreemat Kumar; Sethy, Prabira Kumar; Das, Ashis; Jena, Sudarson; Nanthaamornphong, Aziz
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Analytical Validation and Integration of CIC-Bell-DNS-EXF-2021 Dataset on Security Information and Event Management
IEEE ACCESS
IF
3.6
2024-01-01
1
OA
AI
Panigrahi, Gyana Ranjana; Sethy, Prabira Kumar; Behera, Santi Kumari; Gupta, Manoj; Alenizi, Farhan A.; Suanpang, Pannee; Nanthaamornphong, Aziz
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Maize disease identification based on optimized support vector machine using deep feature of DenseNet201
基于DenseNet201深度特征优化支持向量机的玉米病害识别
JOURNAL OF AGRICULTURE AND FOOD RESEARCH
IF
6.2
2023-12-01
9
OA
AI
Dash, Arabinda; Sethy, Prabira Kumar; Behera, Santi Kumari
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Automatic classification with concatenation of deep and handcrafted features of histological images for breast carcinoma diagnosis
MULTIMEDIA TOOLS AND APPLICATIONS
IF
3
2022-02-10
16
PRE
AI
Sethy, Prabira Kumar; Behera, Santi Kumari
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研究方向
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合作学者
合作期刊
S
Santi Kumari Behera
H 指数: 27 · 论文数: 159
A
Amiya Kumar Rath
H 指数: 27 · 论文数: 142
M
Manoj Gupta
H 指数: 20 · 论文数: 93
A
Aseel Smerat
H 指数: 16 · 论文数: 190
P
Pannee Suanpang
H 指数: 15 · 论文数: 50
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