30 Result(s)
within
Santi Kumari Behera
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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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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
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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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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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
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...
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Article
Hyperspectral imagery applications for precision agriculture - a systemic survey
Hyperspectral imaging has been extensively investigated as an emerging, promising technique for measuring the quality and protection of horticultural and agricultural products over the past 20 years. This tech...
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Article
A data constrained approach for brain tumour detection using fused deep features and SVM
The identification of MR images of the brain with tumours is one of the most critical tasks of any brain tumour (BT) detection system. Interestingly, because of its non-invasive image properties, the field of ...
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Article
Fruits yield estimation using Faster R-CNN with MIoU
Fruit yield estimation is one of the challenging tasks using on-plant images to support smart farming and provide information about the product so that storage and export facility can be arranged. The detectio...
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Article
Forecasting of Sunspot Time Series Using a Hybridization of ARIMA, ETS and SVM Methods
Solar activity directly influences the heliospheric environment and lives on the Earth. Sunspot number (SN) is one of the most crucial and commonly predicted solar activity indices. The prediction of SN time s...
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Chapter and Conference Paper
Evaluation of Transfer Learning Model for Mango Recognition
In this research article, we have performed an evaluation of transfer learning model for recognition of mango fruits. The dataset used for the experiment is generated by collecting new high-quality images that...
