WiFi-based pose estimation models exhibit severe performance degradation when deployed in environments different from their training setting. A model trained in Room A with a specific transceiver ...

Neural activity data can be associated with behavioral and physiological variables by analyzing their changes in the temporal domain. However, such relationships are often difficult to quantify and ...

Abstract: In order to predict long-term series, a Bayesian enhanced approach (BEA) combining permutation entropy (BEMA) is presented. The motivation of the proposed filter is to predict long-term time ...

ABSTRACT: It is difficult for the existing Automated External Defibrillator (AED) on-board microprocessors to accurately classify electrocardiographic signals (ECGs) mixed with Cardiopulmonary ...

Journal of Nuclear Medicine June 2024, jnumed.124.267434; DOI: https://doi.org/10.2967/jnumed.124.267434 These aggregative approaches raise an interesting question ...

This study explores the efficacy of various EEG complexity measures in detecting mind wandering during video-based learning. Employing a modified probe-caught method, we recorded EEG data from ...

State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, and Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian ...

Abstract: Fault detection can provide constructive guidance for the predictive maintenance of rolling element bearings. For detecting different faults, permutation entropy (PE) has served as an ...

Implementation of an SP Network using a new modified Playfair Cipher for substitution and the chaotic Logistic-Tent Map for permutation, in Python. This new algorithm has been named Playfair ...

As gliomas proliferate, they infiltrate healthy brain tissue. Often, patients with such tumors in the language areas of the brain develop aphasia. Understanding how gliomas interact with normal neural ...