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 ...

In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms that can significantly transform ...

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

Biopharma researchers and translational scientists are facing a challenge –understanding the tumor microenvironment (TME).

Abstract: To simultaneously suppress the periodic and aperiodic disturbances experienced by permanent magnet synchronous motors in model predictive control, a model-free predictive current control ...

Categorical distinctions remain vital for clarity, prognosis, and treatment in personality disorder diagnosis.

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 ...

Abstract: This article presents a dimension-reduced, line-constrained explicit model predictive direct speed control (DRLC-EPDSC) strategy for interior permanent magnet synchronous motor (IPMSM).