crossrefElectronics2019-07-02Cited by 19
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Advanced driver assistance systems (ADAS) are rapidly being developed for autonomous vehicles [...]
Advanced driver assistance systems (ADAS) are rapidly being developed for autonomous vehicles [...]
Victor Chang, Qianwen Ariel Xu, Anyamele Chidozie, Hai Wang
The volatile and non-linear nature of stock market data, particularly in the post-pandemic era, poses significant challenges for accurate financial forecasting. To address these challenges, this research develops advanced deep learning and machine learning algorithms to predict f…
Paweł Pawłowski, Karol Piniarski
In this paper, we introduce an efficient lossy coding procedure specifically tailored for handling video sequences of automotive high-dynamic range (HDR) image sensors in advanced driver-assistance systems (ADASs) for autonomous vehicles. Nowadays, mainly for security reasons, lo…
Omar Alqaraghuli, Abdullahi Ibrahim
The rapid growth in photovoltaic (PV) power plant installations has rendered traditional inspection methods inefficient, necessitating advanced approaches for fault detection and classification. This study introduces a novel hybrid metaheuristic method, the Dung Beetle Optimizati…
Ahmed Abu-Khadrah, Shaima AlKhudair, Mohammad R. Hassan, Ali Mohd Ali, Tareq A. Alawneh, Emad Alnawafa, et al.
Machine learning helps intrusion detection systems learn new assaults quickly. These systems train on a dataset with several threats and may identify odd behavior. This research detects intrusion using Random Forest, KNN, and Gaussian Naive Bayes. We run the model on a comprehens…
Hyunseo Shin, Wangyu Park, Suhong Kim, Juhum Kweon, Changjoo Moon
Ensuring vehicle security and preventing unauthorized driving are critical in modern transportation. Traditional driver identification methods, such as biometric authentication, require additional hardware and may not adapt well to changing driving behaviors. This study proposes…
Milkias Ghilom, Shahram Latifi
Today, the significance of biometrics is more pronounced than ever in accurately allowing access to valuable resources, from personal devices to highly sensitive buildings, as well as classified information. Researchers are pushing forward toward devising robust biometric systems…