An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

AI is reshaping brand engagement, but its effectiveness relies on high-quality, curated data, a significant challenge for ...

An international team of mathematicians, led by Lehigh University statistician Taeho Kim, has introduced an innovative method ...

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

Whether walking, executing tasks, or responding to natural language commands, Kepler's K2 "Bumblebee" demonstrates reliable ...

Objectives Hamstring strain injury (HSI) is the most common time-loss injury in football and is prone to recurrence. This ...

Abstract: Tendon-driven continuum robots (TDCRs) have the potential to be used in minimally invasive surgery and industrial inspection, where the robot must navigate narrow and confined spaces. We ...

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: This study develops and empirically calibrates the Community-Social Licence-Insurance Equilibrium (CoSLIE) Model, a dynamic, multi-theoretic framework that reconceptualises ...

Asymmetric interactions between different species of molecules have previously been demonstrated to result in self-organized patterns and functions. If one species A is attracted to B, but in turn, B ...

Surya, an AI model developed by NASA and IBM, tries to find hidden patterns in solar data to detect solar flares and winds. NASA and IBM have released a new open-source machine learning model to help ...