Frontiers

Soft Computing and Machine Learning Applications for Healthcare Systems

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...
IEEE

Comparative Analysis of Support Vector Machine and Convolutional Neural Network for Image Classification

Abstract: The rapid growth of image classification tasks in various applications, from facial recognition to object detection, highlights the importance of developing efficient and accurate ...
Mid-Day

When Microseconds Decide Millions, Some Researchers Are Turning to Quantum Physics

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.
Frontiers

Disease classification via interpretable machine learning based on multi-center routine coagulation test

Data from 11 hospitals were collected. An unsupervised clustering model was used to extract classification patterns, and clinical experts assigned disease labels. Multiple machine learning models, ...
IEEE

A Topical Review of Quantum and Classical Machine Learning Approaches to Disaster Escape Routing Problems

Abstract: The pathfinding problem in a graph has been solved using several classical algorithms, notably Dijkstra’s and A* algorithms. However, most classical algorithms are most effective on static ...