Abstract: An approach to multiclass tumor classification using the K-Nearest Neighbour(KNN) classification model. The model is trained on the original dataset. We also performed various Statistical ...

This repo contains an App Designer app for training an image classification deep neural networks in MATLAB. Using this app, you can: Import data and apply standard augmentations. Choose a pretrained ...

This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...

In this tutorial, we will be implementing a custom Model Context Protocol (MCP) Client using Gemini. By the end of this tutorial, you will be able to connect your own AI applications with MCP servers, ...

Roku TV vs Fire Stick Galaxy Buds 3 Pro vs Apple AirPods Pro 3 M5 MacBook Pro vs M4 MacBook Air Linux Mint vs Zorin OS 4 quick steps to make your Android phone run like new again How much RAM does ...

Abstract: This paper presents a novel locally linear KNN model with the goal of not only developing efficient representation and classification methods, but also establishing a relation between them ...

Brooks, T., 2023: Creating a Large Language Model Application Using Gradio. Carnegie Mellon University, Software Engineering Institute's Insights (blog), Accessed ...

Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to predict the species of a wheat seed based on seven predictor variables such as seed length, width and perimeter. The ...

Electrical grid power quality is a global issue. The grid must supply electricity at sinusoidal voltages and currents without frequency or amplitude fluctuations. Harmonics from non-linear loads ...