A new deep learning model combining Bi-LSTM and attention mechanisms detects campus online opinion storms early, ...
A simulated 10-year study found that AI forecasting and flexible investment timing raised modeled wastewater biorefinery ...
While AI enhances the expressive power of quantitative systems, it does not resolve the low signal-to-noise ratio or ...
Manufacturing managers, engineers, and IT professionals interested in AI technologySummary: This article explains real-time ...
Predictive AI uses advanced deep learning architectures to analyze structured and unstructured datasets to forecast financial ...
Artificial intelligence can analyze massive amounts of market data, but it cannot reliably or consistently predict exact stock prices. How AI Tries to Predict Stocks Data Sources: AI models scan ...
Uncover the latest and most impactful research in Digital and Analog Signal Processing. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field. An ...
Accurate river water level estimation is crucial for flood prevention, disaster mitigation and water resource management, yet ...
Water level data traditionally come from hydrological stations, but sparse spatial coverage, high operational costs and ...
Hybrid quantum algorithms for ECG image-based arrhythmia detection are increasingly used, but their performance under lower resolutions and varied training initialisations remains unclear. This study ...
El Congreso XoveTIC ha premiado en su novena edición diversos proyectos de investigación con el objetivo de impulsar la ...
O Congreso XoveTIC, organizado polo CITIC e a Facultade de Informática da Universidade da Coruña, recoñeceu os mellores ...