CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938768
Abstract: Driving conditions greatly affect the energy control and the fuel economy of a hybrid electric vehicle (HEV). In this paper, an automated feature extraction scheme based on convolution neural networks (CNNs) and Kernel PCA (KPCA)… read more here.
Keywords: feature extraction; automated feature; extraction; cnn ... See more keywords
A Novel Driving Pattern to Actualize Haptic Effects in Mobile Devices
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2021.3079855
Abstract: Haptic interactions in consumer devices have become more critical with immersive streaming content by including high-resolution video and sound as well as tactile information. Mobile devices such as tablets and smartphones are significantly limited for… read more here.
Keywords: tex math; haptic effects; inline formula; driving pattern ... See more keywords