Teen Develops Flood-Detecting CubeSat

High school sophomore Abigail Merchant has made it her mission to use technology to reduce flood-related deaths. The ...
IEEE

A Novel Machine Learning Algorithm to Reduce Prediction Error and Accelerate Learning Curve for Very Large Datasets

Abstract: This paper presents a novel machine learning algorithm with an improved accuracy and a faster learning curve, for very large datasets. Previously, an algorithm using lr-partitions was ...
IEEE

Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm

Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
IEEE

Intelligent Image Processing Control Algorithm Based on Machine Learning

Abstract: As computer vision and AI technologies advance at an accelerated pace, image processing has permeated critical domains like healthcare diagnostics, surveillance systems, and autonomous ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
GitHub

cynthiayry/DATA2060-Machine-Learning-Algorithm-Project--CART

A robust, from-scratch implementation of the CART (Classification and Regression Trees) algorithm for classification tasks, developed as part of the DATA2060 Machine Learning course. ├── data/ # Train ...
GitHub

Reinforcement Machine Learning Minesweeper Algorithm

A Reinforcement Machine Learning Minesweeper Algorithm written in Java. It learns Minesweeper by failing repeatedly and learning from its mistakes. It scans a Minesweeper board for subsets of numbers, ...
IEEE

The Application of Intelligent Recommendation Systems in Personalized Learning Path Planning: Combining CNN and Genetic Algorithms

Abstract: Aiming at the problem that traditional personalized learning path planning methods rely on expert experience and are difficult to accurately capture the deep relationship between learners' ...