Abstract: Using a privacy-preserving federated hybrid architecture that combines Long Short-Term Memory (LSTM) and Multilayer Perceptron networks (MLP), the research suggests a novel method. Our ...

In the context of global energy shortages, traditional energy sources face issues of limited reserves and high prices. As a result, the importance of energy storage technology is increasingly ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

FICO, the eponymous credit score provider, announced three artificial intelligence language models for financial services firms on Tuesday: Focused Foundation Model, Focused Language Model and Focused ...

Abstract: Zenith Tropospheric Delay (ZTD) is one of the primary error sources impacting the accuracy of Global Navigation Satellite System (GNSS) Precise Point ...

For the field of drug development, hitting the right target with atomic precision to achieve therapeutic effect remains the core challenge. While traditional R&D pipelines are dependent on ...

Sequence labeling models are quite popular in many NLP tasks, such as Named Entity Recognition (NER), part-of-speech (POS) tagging and word segmentation. State-of-the-art sequence labeling models ...

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

The development of a high-precision displacement prediction model for landslide geological hazards is crucial for the early warning of such disasters. Landslide deformation typically exhibits a ...

Climate change has significantly impacted vulnerable communities globally, with rising temperatures caused by greenhouse gas emissions accelerating global Sea Level Rise (SLR), threatening coastal ...