Betsy began her career in international finance and it has since grown into a comprehensive approach to journalism as she's been able to tap into that experience along with her time spent in academia ...

Abstract: Invasion incident pattern recognition is crucial for a distributed optical fiber vibration sensing system based on a phase-sensitive time-domain reflectometer. Despite traditional pattern ...

To run our anticipation step with LLAMA, you must be granted access to the models by Meta here. Place them wherever you like, and recall to update the paths whenever ...

American Amara Majeed was accused of terrorism by the Sri Lankan police in 2019. Robert Williams was arrested outside his house in Detroit and detained in jail for 18 hours for allegedly stealing ...

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For the world to realize the benefits brought by AI, it is important to ensure artificial intelligent (AI) systems are responsibly developed, used throughout their entire life cycle, and trusted by ...

Abstract: Data association is one of the most important problems in multiple-sensor multiple-target tracking systems. A novel approach for biased-data association based on patterns extracted from ...

Recognizing emotion from Electroencephalography (EEG) is a promising and valuable research issue in the field of affective brain-computer interfaces (aBCI). To improve the accuracy of emotion ...

Erika Rasure is globally-recognized as a leading consumer economics subject matter expert, researcher, and educator. She is a financial therapist and transformational coach, with a special interest in ...

Surface electromyogram-based pattern recognition (sEMG-PR) has been considered as the most promising method to control multifunctional prostheses for decades. However, the commercial applications of ...

This paper mainly studies the data characteristics of high order cumulants using digitally modulated signals, and constructs the identification feature parameters that can distinguish the signal ...