38 Result(s)
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Prabira Kumar Sethy
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Article
Open AccessEnhancing oral squamous cell carcinoma detection: a novel approach using improved EfficientNet architecture
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 membranes. Despite its high prevalence, early dia...
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Article
Diagnosis of retinal damage using Resnet rescaling and support vector machine (Resnet-RS-SVM): a case study from an Indian hospital
This study aims to address the challenge of identifying retinal damage in medical applications through a computer-aided diagnosis (CAD) approach. Data was collected from four prominent eye hospitals in India f...
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Article
Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101
As semiconductor processing technologies continue to advance, semiconductor wafers are becoming more densely packed and intricate, resulting in a higher incidence of surface imperfections. Therefore, it is cru...
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Article
Breast mass density categorisation using deep transferred EfficientNet with support vector machines
Breast carcinoma or breast cancer is the most common type of cancer in women. It is very dangerous, and early detection is important for proper diagnosis and reduction of mortality rate. Cancer starts in a ben...
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Article
Statistical analysis and comparison of deep convolutional neural network models for the identification and classification of maize leaf diseases
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 through early diagnosis of plant diseases. The app...
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Chapter and Conference Paper
Rock Segmentation of Real Martian Scenes Using Dual Attention Mechanism-Based U-Net
Segmentation of Martian rocks is essential for future space exploration and scientific research. In this study, we propose a dual attention mechanism-based U-Net for the segmentation of Real Martian scenes. Th...
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Article
Machine learning based classification of EEG signal for detection of child epileptic seizure without snip**
The electroencephalogram (EEG) signal is very important in the diagnosis of epilepsy. Long-term EEG recordings of an epileptic patient contain a huge amount of EEG data. Therefore, detecting epileptic activity...
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Chapter and Conference Paper
Convolutional Neural Network-Enabling Speech Command Recognition
The speech command recognition system based on deep image classification is the key that would tremendously promise to revolutionize research and development by overcoming the communication barrier between hum...
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Chapter and Conference Paper
Maturity Status Estimation of Banana Using Image Deep Feature and Parallel Feature Fusion
Immediately following mango, the banana (Musa sp.) is India’s second most important fruit crop. Once again, bananas are the most important fruit in worldwide trade and the most widely consumed, ranking second onl...
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Chapter and Conference Paper
Support Vector Machine Classifier for Wheat Grain Identification Based on Grid Search Optimization Technique
India is one of the biggest places that grows and eats wheat grains, so it makes sense that they would want to know the quality and variety of wheat to meet the needs of the food industry. Moreover, because th...
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Chapter and Conference Paper
Environmental Characteristics Leveraging Crop Recommendation Based on Bayesian Optimisation-Support Vector Machine (BO-SVM) Approach
Agriculture automation is a mechanical process that can be done with or without human intervention. Due to the limited space available on domestic lands, it has become critical to select the most appropriate c...
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Chapter and Conference Paper
Defect Discrimination of Mango Using Image Processing Techniques
Defect discrimination is a crucial factor in evaluating the quality of mango. The flaw mark on the flesh remark about the defunctness of mango fruit. The internal defect of mango fruit is often directly propor...
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Chapter and Conference Paper
Nerve Segmentation Using Multi-scale Attention Mechanism-U-Net
In the medical field, surgical treatment is a major aspect of diagnosing any disease. To do the surgical procedure, it is very important to identify the nerve position. In most cases, ultrasound images are use...
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Chapter and Conference Paper
Energy Efficient Adaptive Multi-hop Wireless Sensor Network with Multimode Alpha Barrier
A sensor node has a limited radio range to subsequently cover a limited geographical area. In real-world setting, it is not always possible to have a single-hop wireless network. Most of the wireless network a...
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Article
Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine
The skin is the main organ. It is approximately 8 pounds for the average adult. Our skin is a truly wonderful organ. It isolates us and shields our bodies from hazards. However, the skin is also vulnerable to ...
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Article
Automatic classification with concatenation of deep and handcrafted features of histological images for breast carcinoma diagnosis
The second leading cause of death from cancer among women is breast cancer. In order to prevent avoidable deaths, early detection is extremely necessary. Malignancy evaluation of tissue biopsies, however, is c...
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Article
Identification of wheat tiller based on AlexNet-feature fusion
Wheat genotype identification is possible with proper recognition of its tiller. It is again challenging to recognize the wheat tiller in complex imaging conditions such as blurred image due to motion and dens...
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Chapter and Conference Paper
Face Mask Detection in Public Places Using Small CNN Models
The spread of coronavirus can be prevented among the people in a crowded place by making face mask mandatory so that the droplets from the mouth and nose would not reach the masses nearby. The negligence of so...
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Chapter and Conference Paper
Cloud Classification-Based Fine KNN Using Texture Feature and Opponent Color Features
Weather forecasting and alerts are issued by the meteorological department to alert citizens. Cloud image classification is a challenging task for the research community of meteorology and machine learning. Mo...
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Chapter and Conference Paper
Machine Learning-Based Diabetes Prediction Using Missing Value Impotency
Diabetes is a chronic disease that has been impacting an increasing number of people throughout the years. Each year, it results in a huge number of deaths. Since late diagnosis results in severe health compli...
