How can quantum field theories be best formulated on a lattice to optimally simulate them on a computer? The answer comes ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
I'm working on a project to implement an FGSM (Fast Gradient Sign Method) attack on an LSTM model for stock price prediction using TensorFlow and Keras. Despite my efforts, I'm encountering persistent ...
Abstract: In this study, we propose novel approaches for generating adversarial examples targeting machine learning-based image cropping systems. Image cropping is crucial for meeting display space ...
ABSTRACT: This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a ...
In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, ...
Abstract: Sionna™ is a GPU-accelerated open-source library for link-level simulations based on TensorFlow. Since release v0.14 it integrates a differentiable ray tracer (RT) for the simulation of ...
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