IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
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 ...
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 ...
IEEE

Hybrid Machine Learning–Genetic Algorithm Approach for QoS-Based Task Scheduling in Cloud

Abstract: Efficient task scheduling in cloud computing is critical to maintain the Quality-of-Service (QOS) while optimizing task allocation and reducing energy consumption. This paper proposes a ...
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' ...
Frontiers

Advances in machine and deep learning for ECG beat classification: a systematic review

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...