Abstract: The CAN protocol, widely used in vehicles, lacks authentication and encryption, making it prone to spoofing, injection, and denial-of-service attacks. This work proposes a detection method ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...

Nvidia and Alphabet are two tech titans benefiting from AI. GitLab has a strong growth opportunity in front of it as AI accelerates software development. Dutch Bros and e.l.f. are two of the most ...

Image Denoising with Autoencoders in R (University Project) Built a convolutional autoencoder in R using Keras/TensorFlow to perform image denoising on MNIST and CIFAR-10 datasets with varying levels ...

This is a tensorflow implementation of the paper "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling" 3dgan_mit_biasfree.py 3dgan as mentioned in the paper, ...

ABSTRACT: In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was ...

A compelling new study from Germany critiques the EU AI Act's definition of the term ‘deepfake' as overly vague, particularly in the context of digital image manipulation. The authors argue that the ...