Search Results - "Sethy, Prabira Kumar"
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Enhancing Security in Real-Time Video Surveillance: A Deep Learning-Based Remedial Approach for Adversarial Attack Mitigation
Published in IEEE access (2024)“…This paper introduces an innovative methodology to disrupt deep-learning (DL) surveillance systems by implementing an adversarial framework strategy, inducing…”
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Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine
Published in International journal of mathematical, engineering and management sciences (01-08-2020)“…The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner. The coronavirus spread so quickly between people and approaches…”
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Maturity status classification of papaya fruits based on machine learning and transfer learning approach
Published in Information processing in agriculture (01-06-2021)“…Papaya (Carica papaya) is a tropical fruit having commercial importance because of its high nutritive and medicinal value. The packaging of papaya fruit as per…”
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4
Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods
Published in Applied artificial intelligence (15-12-2021)“…Accurate prediction of crop prices assists farmers to decide the best time to sell their produce so as to get maximum benefit and assists Government for…”
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Advancements and Challenges in the Image-Based Diagnosis of Lung and Colon Cancer: A Comprehensive Review
Published in Cancer informatics (2024)“…Image-based diagnosis has become a crucial tool in the identification and management of various cancers, particularly lung and colon cancer. This review delves…”
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Maize disease identification based on optimized support vector machine using deep feature of DenseNet201
Published in Journal of agriculture and food research (01-12-2023)“…In recent times, maize diseases have become widespread globally, adversely impacting agricultural productivity and causing significant financial losses…”
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Cervical Transformation Zone Segmentation and Classification based on Improved Inception-ResNet-V2 Using Colposcopy Images
Published in Cancer informatics (01-01-2023)“…The second most frequent malignancy in women worldwide is cervical cancer. In the transformation(transitional) zone, which is a region of the cervix, columnar…”
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Paddy Leaf Disease Classification Using EfficientNet B4 With Compound Scaling and Swish Activation: A Deep Learning Approach
Published in IEEE access (2024)“…This research presents an advanced paddy disease classification model utilizing the EfficientNet B4 deep learning architecture trained on the publicly…”
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9
Enhancing oral squamous cell carcinoma detection: a novel approach using improved EfficientNet architecture
Published in BMC oral health (23-05-2024)“…Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer globally, leading to the loss of structural integrity within the oral cavity layers and…”
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Transformative insights: Image-based breast cancer detection and severity assessment through advanced AI techniques
Published in Journal of intelligent systems (07-10-2024)“…In the realm of image-based breast cancer detection and severity assessment, this study delves into the revolutionary potential of sophisticated artificial…”
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Analytical Validation and Integration of CIC-Bell-DNS-EXF-2021 Dataset on Security Information and Event Management
Published in IEEE access (2024)“…Contemporary culture presents a substantial obstacle for cyber security experts in the shape of software vulnerabilities, which, if taken advantage of, can…”
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12
Few-shot learning convolutional neural network for primitive indian paddy grain identification using 2D-DWT injection and grey wolf optimizer algorithm
Published in Journal of agriculture and food research (01-03-2024)“…Rice (Oryza sativa) is extensively taken and sold throughout the world. The most common primitive paddy are Goswami, Jamuna, Jamut, Mamata, Pooja, Rambanbas,…”
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A methodical analysis of deep learning techniques for detecting Indian lentils
Published in Journal of agriculture and food research (01-03-2024)“…Automatic identification of Indian lentils requires the selection of a suitable classification model among various CNN models. The CNN models are the most…”
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14
A Dynamic-SUGPDS Model for Faults Detection and Isolation of Underground Power Cable Based on Detection and Isolation Algorithm and Smart Sensors
Published in Journal of electrical engineering & technology (01-07-2021)“…This paper proposes a SUGPDS model based on Detection and Isolation algorithm and smart sensors, namely micro phasor measurement unit, smart sensing and…”
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Machine learning with analysis-of-variance-based method for identifying rice varieties
Published in Journal of agriculture and food research (01-12-2024)“…Rice, which has the highest production and consumption rates worldwide, is one of the main nutrients in our country because it is economical and nutritious…”
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Deep feature extraction based cascading model for the classification of Fusarium stalk rot and charcoal rot disease in maize plant
Published in Informatics in medicine unlocked (2023)“…Maize stalk rot infection is one of the most important causes of production loss in some regions of India. However, it is difficult to diagnose maize disease…”
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Identification of wheat tiller based on AlexNet-feature fusion
Published in Multimedia tools and applications (01-03-2022)“…Wheat genotype identification is possible with proper recognition of its tiller. It is again challenging to recognize the wheat tiller in complex imaging…”
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Deep feature based rice leaf disease identification using support vector machine
Published in Computers and electronics in agriculture (01-08-2020)“…•This study evaluates the performance of 13 CNN models for rice disease identification in transfer learning and deep features plus SVM approach.•The…”
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Statistical analysis and comparison of deep convolutional neural network models for the identification and classification of maize leaf diseases
Published in Multimedia tools and applications (07-02-2024)“…Maize, as well as other plants, are particularly susceptible to various illnesses. Therefore, one of the most crucial ways for farmers to prevent crop loss is…”
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Almond Quality Assessment using Image Processing Techniques
Published in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT) (07-04-2023)“…In the last ten years, almond production has grown because an increasing number of people believe that almonds are good for their health. Almond kernels…”
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