IEEE

Change Detection in Remote Sensing Optical Images Using a SPSA-Based Improved Random Forest Algorithm

Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Comparative Analysis of the Proportional Distribution Method and the Random Forest Algorithm for Predicting Pedestrian Traffic Accident Risk

Abstract: The risk of pedestrian-involved traffic accidents represents a significant challenge to road safety and necessitates objective methods for analyzing the contributing factors. This study ...
JD Supra

AI, Algorithms and Abstract Ideas: Federal Circuit Reinforces Limits in Recentive v. Fox

In April, the Federal Circuit issued a significant patent law ruling involving artificial intelligence. In Recentive Analytics, Inc. v. Fox Corp, the Court addressed a core question facing many ...
Scientific Research Publishing

Widiyasono, A., Fakhrulddin, M. and Kusuma, Y. (2021) IoT Device Malware Detection Using Random Forest Algorithm. Proc. Int. Conf. Inf. Technol. Syst., 2021, 234-240.

ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...
Scientific Research Publishing

Salman, H.A., Kalakech, A. and Steiti, A. (2024) Random Forest Algorithm Overview. Babylonian Journal of Machine Learning, 2024, 69-79.

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...