Abstract: For hyperspectral subpixel target detection tasks, conventional mixing model (CMM) is one of the most intensively used models. Despite the flexibility of CMM in terms of mixing coefficient, ...

LCGC International provides separation science insights, including liquid chromatography (HPLC), gas chromatography (GC), and ...

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 ...

Is Netflix stock overvalued? Analyze NFLX's key ratios, competition, and growth headwinds to decide if it's time to secure ...

Applied Computational Psychiatry Lab, Mental Health Neuroscience Department, Division of Psychiatry and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Department of Imaging ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...

The final, formatted version of the article will be published soon. Understanding brain-behavior relationships and predicting cognitive and clinical outcomes from neuromarkers are central tasks in ...

A one-page summary of the course can be found here. This document is still a work in progress. We will update this as we progress through the course. You are encouraged to keep a copy of this document ...

Due to the electrification megatrend, estimating battery model parameters using impedance data is of great interest, since typically battery model parameters are estimated using time domain data, and ...

Abstract: Widely linear (WL) robust adaptive beamforming exhibits superior performance by effectively leveraging the additional noncircularity information. However, existing studies focus solely on ...