[PDF] Top 20 Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine

Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine

... The detection of coronavirus (COVID-19) is now a critical task for the medical ...The coronavirus spread so quickly between people and approaches 100,000 people ...the deep feature plus ... See full document

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Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone

... inspections. Deep learning is useful for image recognition, but it requires large amounts of data to be collected on rare ...one-class support vector machine, an unsupervised learning method, ... See full document

7

Modeling of Hybrid Intrusion Detection System in Internet of Things using Support Vector Machine and Decision Tree

... was based on the DT algorithm, due to its performance. The Support Vector Machine was used for the selection features which was based on correlation in the features of the ... See full document

8

A Face Detection Method Based on Sliding Window and Support Vector Machine

... Face recognition technology has attracted the attention of many scholars. [17] presents a facial expression recognition algorithm based on the SIFT algorithm. Using this method, the author completes the feature ... See full document

9

Anomaly Detection using Support Vector Machine

... 4]. Support vector machine is a classification technique [6] of data mining which is used for anomaly ...unique features of these algorithms make them especially suitable for binary ... See full document

6

Plain Woven Fabric Defect Detection using GLCM based Feature Extraction

... defect detection is done in based on extraction of features from Gray level co –occurrence ...salient features plays a crucial role in Automatic fabric defect ...texture features for ... See full document

6

A Widespread Study, Analysis, and Management of a Squint Eye Using Support vector Machine (SVM)

... parameters based on selected geometric natures to the ...output based on ...'Squint Detection' ...statistical features are to be calculated from enhanced ...calculated features have to ... See full document

6

Classification and Detection of Citrus Disease using Feature Extraction and Support Vector Machine (SVM)

... for detection and classification of citrus diseases but a novel model for such challenge has not been properly ...for detection and classification of citrus diseases using feature selection and ... See full document

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Linear Discriminant Analysis based Hybrid SVM-CART for Intrusion Detection System

... Analysis based Support Vector Machine-Classification and Regression ...a support vector along the main component and classifies various data into different clusters based ... See full document

7

Breast Cancer Detection using Support Vector Machine

... of disease features from histological ...a disease is present within analysed samples or ...of disease if the disease is present in the ...cancer detection and grading ... See full document

6

Image Forgery Detection using Support Vector Machine

... is based on noise discrepancies between the original image and spliced ...object detection. F. Hakim proposed a method based on improved local binary pattern (LBP) and discrete cosine transform ...as ... See full document

6

Title: Improvement of Authentication in Smartphones Using Embedded Pattern-Based Features

... biometric features for authentication, this study proposes a method to use biometric features of the pattern authentication ...biometric features, based on the way the user inputs the pattern, ... See full document

9

A HYBRID MODEL FOR CLASSIFYING PLANT STRESSES

... is based on algorithms for learning multiple levels of representation to model complex relationships among ...object detection [2], speech and audio processing [3], natural language processing [4], and ... See full document

5

Human detection and tracking through temporal feature recognition

... temporal features of a targeted hu- ...human detection algorithm based on Support Vector Machine (SVM) [5] classification of temporal features automates the initialisation ... See full document

5

Applications of different Techniques in Agricultural System: A Review

... Leaf Disease Detection and Controlling using IoT” proposed a Support Vector Machine based regression system for identification and classification of five cotton leaf diseases ... See full document

5

Online Full Text

... methods, support vector machines (SVMs) are well-known [6] by its highly accurate computational capabilities and high-dimensional data ...homology detection and represent the highest level of ... See full document

6

Machine Learning and Deep Learning Methods for Cybersecurity

... The detection and prevention of a network intrusion is a major ...concern. Machine Learning and Deep Learning methods detect network intrusions by predicting the risk with the help of training the ... See full document

6

CREDIT CARD TRANSACTION FRAUD DETECTION METHOD BASED ON SUPPORT VECTOR MACHINE

... rising. based purchases can be categorized into two types: 1) card based purchase, the cardholder presents his card physically to a merchant for making a ...Fraud detection based on the ... See full document

6

Human Face Detection Based on Skin Color Using Support Vector Machine

... Traditionally, face detection and recognition has been the main target of the leading beholding analysis thanks to its wide pertinence. Biometric systems will like characteristic the user’s face, security ... See full document

5

Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture Based Machine Learning

... A nested cross-validation scheme was used to tune the 3 hy- perparameters while keeping the assessment of accuracy com- pletely independent. In each of 100 iterations of the outer loop, 10-fold cross-validation was used ... See full document

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