Enhancing ECU identification security in CAN networks using distortion modeling and neural networks
A novel technique for electronic control unit (ECU) identification is proposed in this study to
address security vulnerabilities of the controller area network (CAN) protocol. The reliable …
address security vulnerabilities of the controller area network (CAN) protocol. The reliable …
Multimodal consumer choice prediction using EEG signals and eye tracking
Marketing plays a vital role in the success of a business, driving customer engagement,
brand recognition, and revenue growth. Neuromarketing adds depth to this by employing …
brand recognition, and revenue growth. Neuromarketing adds depth to this by employing …
Recognizing drivers' sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network
Y Jiao*, X He - Computer Methods in Biomechanics and …, 2025 - Taylor & Francis
Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset,
often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional …
often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional …