We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Researchers at the University of California San Diego were selected for a $5 million award from the U.S. Department of Energy ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

Data-driven advertising should be rooted in real-time consumer data, allowing your brand to not only react to shifting trends ...

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

Hackers are flooding users with social engineering attacks across email and tools like WhatsApp, Slack, and Teams. SlashNext allows Varonis to provide CISOs with a complete and consolidated threat ...

Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free ...

Abstract: The increasing number of facts that banks have access to has led to the need for superior predictive modeling techniques to make knowledgeable decisions. However, conventional modeling ...