This paper presents an enhanced Simultaneous Localization and Mapping (SLAM) framework for mobile robot navigation.It integrates RGB-D cameras and 2D LiDAR sensors to improve both mapping accuracy and localization efficiency.We propose a data fusion strategy where RGB-D point clouds are projected into 2D and denoised alongside LiDAR data.Late fusio
Recognizing places of interest (POIs) can be challenging for humans, especially in foreign environments.In this study, we leverage smartphone sensors (i.e., camera, GPS) and deep learning algorithms to propose an intelligent solution to recognize POIs in an urban environment.Recent studies have approached landmark recognition as an image retrieval
Different soft-computing based methods have been proposed in recent years for the development of intrusion detection systems.The purpose of this work is to development, implement and evaluate an anomaly off-line based intrusion detection system using three techniques; data mining tess milne bikini association rules, decision trees, and artificial n
As electric vehicles (EVs) are growing, the fault diagnosis in their drive motor becomes more important to have optimal performance and safety.Traditional fault detection methods suffer mainly from high false positive and false negative rates, computational complexity, delta zeta jersey and lack of transparency in decision-making methods.In additio