Authors :Pratiksha S. Patil , Nilesh Vani DOI : 10.46335/IJIES.2025.10.9.8 Abstract – The growing prevalence of phishing assaults, especially in online banking and e-commerce, calls for the creation of reliable detection systems. A thorough analysis of the use of machine learning methods for phishing website identification is presented in this research. By leveraging supervised classification […]
READ MOREAuthors : Tushar Mohite Patil , Sanjay Pandey2, Ravindra Duche DOI :10.46335/IJIES.2025.10.7.12 Abstract – In this study, we propose a machine learning-based method for automatic detection of cotton leaf diseases based on Random Forest classifier. Other features extracted are color based (RGB) and texture based (GLCM) that helps a lot in increasing the classification accuracy. […]
READ MOREAuthors : Ganesh Chandra Akoliya, Sanjay Pandey, Ravindra Duche DOI : 10.46335/IJIES.2025.10.7.11 Abstract –In this study, we develop a FER system for intellectual disability people based on DWT and Gabor filter for feature extraction followed by an SVM classifier for classification of expression. Four different preprocessing techniques such as converting into grayscale, normalizing the image, and data […]
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