An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...

sAwMIL (Sparse Aware Multiple-Instance Learning) is an open-source Python library providing a collection of Support Vector Machine (SVM) classifiers for multiple-instance learning (MIL). It builds ...

Hello beautiful people! Hope that 2025 is treating you well, even though it’s been buggy for me, so far. Welcome to the Doodles and Programming blog and today we’re going to build: A sentiment ...

Abstract: A resurgent zoonotic disease called monkeypox presents serious public health issues, especially in locations with low resources where prompt and correct diagnosis is essential. Due to the ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

The Tesla Model Y has been the most popular electric car for a few years now, and it makes sense. The Model Y is reasonably priced for an EV while offering a good range and an excellent software ...

Resource flow supports the delivery of products and services and plays a vital role in the low-carbon urban distribution grid. Therefore, reasonable forecasting of the resource flow is essential for ...

Abstract: In order to identify the credit card fraudulent transactions, in this paper we propose an optimized SVM model for detection of fraudulent online credit card model. The model use non-liner ...