As a research field, social movement and political project, degrowth is a multifaceted phenomenon. It brings together a range of practices including alternative forms of living and transformative initiatives in civil society, business and the state. Yet no comprehensive theory of degrowth...

Purpose The purpose of this study is to investigate and demonstrate the advancements achieved in the field of chest X-ray image captioning through the utilization of dynamic convolutional encoder–decoder networks (DyCNN). Typical convolutional neural networks (CNNs) are unable to capture both...

Inspired by recent advances in the deep learning literature, this article introduces a novel hybrid anomaly detection framework specifically designed for limit order book (LOB) data. A modified Transformer autoencoder architecture is proposed to learn rich temporal LOB subsequence...

The EU automotive industry has important upstream linkages that affect EU regions in a different way, depending on their position into the global value chain of the automotive industry. - Therefore, policy measures addressing the EU automotive industry need to take into consideration upstream...

Deepfakes, which are synthetic yet incredibly lifelike images, sounds, and video produced by computers, are among the most recent advancements in artificial intelligence technology. Due to the speed and breadth of social media, they can swiftly spread to millions of individuals and lead to a...

chapter on deepfakes offers comprehensive insights into how this cutting-edge technology is being applied across diverse industries. Its applications are broad, impacting various sectors by enhancing capabilities, fostering innovation, and prompting critical discussions about ethical use. “The...