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 [...]
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…
Gourav Gupta, Kiran Raja, Manish Gupta, Tony Jan, Scott Thompson Whiteside, Mukesh Prasad
Recent advances in Generative Artificial Intelligence (AI) have increased the possibility of generating hyper-realistic DeepFake videos or images to cause serious harm to vulnerable children, individuals, and society at large with misinformation. To overcome this serious problem,…
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…
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…
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…