This review discussed the dilemma of small data faced by materials machine learning. First,
we analyzed the limitations brought by small data. Then, the workflow of materials machine …

In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies
such as artificial intelligence for more efficient and green human-centric production. In a …

We present a deformable prototypical part network (Deformable ProtoPNet), an interpretable
image classifier that integrates the power of deep learning and the interpretability of case …

Micro-pin fin heat sinks are receiving attention for their use in the thermal management of
high-heat-flux electronics systems since they can help to enhance heat transfer …

Data-driven economic tasks have gained significant attention in economics, allowing
researchers and policymakers to make better decisions and design efficient policies …

Recientes avances tecnológicos, como el almacenamiento masivo de datos y la
computación en la nube, están dando lugar a un mayor uso de la inteligencia artificial en la …

In contrast to human intelligence, which comes from innate knowledge, artificial intelligence
(AI) and big data refers to the mental capacity demonstrated by robots. AI has been …

The financial sector, by mobilizing capital, is fundamental to adapt and mitigate the impact of
climate change in the economy. This has led to the emergence of a new research field …

We present ProtoViT, a method for interpretable image classification combining deep
learning and case-based reasoning. This method classifies an image by comparing it to a …

Project risk management is pivotal in ensuring the success of endeavours within
contemporary organizations. As businesses navigate an intricate and competitive …