Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...
Abstract: This research classifies the smoker status dataset using two algorithms, i.e., Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). Researchers used several kernels in the SVM model: ...
Abstract: Properly evaluating food freshness is critical to ensure safety, quality, and customer satisfaction in the food industry. While numerous datasets exist for individual food items, a unified ...
A comprehensive dataset of fruit images in both raw and ripe states, designed for fruit maturity recognition tasks. The dataset includes images of 10 different fruit types, enabling various ...
This repository contains an Intelligent Fault Detection (IFD) System to detect motor bearing faults in industrial machinery. Uses a 1D-CNN to achieve end-to-end classification from raw vibration ...