IEEE

Detecting HLS Hardware Trojans using Random Forest Classifier

Abstract: High-level Synthesis (HLS) generated IP designs are widely and effectively used in several image/video processing applications, consumer electronics applications as well as multimedia ...
IEEE

Facilitating Seamless Communication through Voice-Enhanced Sign Language and Gesture Recognition with Random Forest Classifier and Graph Convolution Networks

Abstract: An innovative system designed to enhance communication for individuals using sign language. Developed in Python, the system leverages a Random Forest classifier to accurately interpret hand ...
IEEE

Android Malware Detection Using API Calls and Permissions with Random Forest Classifier

Abstract: Android malware poses a persistent and evolving threat to mobile security, considering its capability to compromise sensitive user data and evade traditional detection methods. While ...
IEEE

Collating Random Forest Classifier and Artificial Neural Networks for the Risk Detection of Maternal Health

Abstract: This paper compares the performance of ANN models to Random Forests on benchmarking a test dataset against the risk levels of maternal health as low, mid, or high. The features considered ...
IEEE

Random Forests Relay Selector in Buffer-Aided Cooperative Networks

Abstract: This paper presents a data-driven Random Forest (RF) framework for the joint relay–link selection and buffer management problem in buffer-aided cooperative relay networks, with the goal of ...