An Efficient Machine Learning Model for Prediction of Dyslexia from Eye Fixation Events

Dyslexia is a learning condition in which a person has difficulty spelling and reading words correctly. Dyslexia is not curable, although dyslexics can achieve great success in school and in life with the right remedial support. Eye movement patterns during

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Study on Opinion Mining Framework Using Proposed RB-Bayes Model for Text Classification

Everyone is on social media, and their motivation is not only to be active but also to generate knowledge. We always read reviews on social media before making a purchase. Information mining is a capable concept with enormous potential for

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Obstacles Detection at a Railroad Crossing Using the Histogram of Oriented Gradients Method and Support Vector Machine Classifier

The goal of this project was to use the histogram of oriented gradients approach and a support vector machine to detect impediments at railroad crossings. A railroad crossing is a location where train tracks cross other routes, such as a

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Application of EEG Signals – A Case Study

Traditional iterative estimate methods are replaced by the Gauss-Jacobi combinatorial algorithm. In nonlinear models, where other parameter estimate approaches fail, the combinatorial approach is frequently employed for outlier diagnosis. The purpose of this study is to compare the effectiveness of

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