EEG data quality
Quality metrics for the EEG data included the proportion of bad channels and the number of ICA components removed to correct for artifacts such as eye movement. We also evaluated the consistency of neural responses across…
Quality metrics for the EEG data included the proportion of bad channels and the number of ICA components removed to correct for artifacts such as eye movement. We also evaluated the consistency of neural responses across…
The aspect-level sentiment analysis quadruple task is formalized below:
Input: X = [\(x_1\),…\(x_i\),…\(x_n\)], i \(\in\) (1,n) where X is an input instance. n is the number of tokens…
Everyday life is filled with situations in which people must rely on their ability to inhibit prepotent, yet inappropriate, actions to achieve their goals. For example, when someone sees a traffic light turn from green to amber while driving,…
Through an analysis of 203 short videos, six tourism imaginaries of Anhui were summarized. These imaginaries were categorized based on their unique attributes, and their prevalence was…
This section introduces the two plays that represent the samples of the contrastive analysis. Then, both are brought to scrutiny in two-dimensional analysis, literary analysis, and computational analysis. The latter depends on NLP tools to…
Denote the period \(\left[0,{T}_{0}\right]\) as the departure period. Vehicles always depart origins during departure period. Denote the period \(\left[0,T\right]\) as assignment period. The assignment period ends when the last vehicle on the…
Davis et al. Global, regional, and national burden of suicide, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Public Health 10, e189–e202 (2025).
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Adam M, Wessel M, Benlian A (2021) AI-based chatbots in customer service and their effects on user compliance. Electron. Mark. 31(2):427–445
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Al-Ansi AM, Jaboob M, Garad A, Al-Ansi A (2023) Analyzing augmented reality (AR) and virtual reality (VR) recent development in education. Soc Sci Hum Open 8(1):100532. https://doi.org/10.1016/j.ssaho.2023.100532
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Using global land use and carbon storage data from the past 175 years, researchers at The University of Texas at Austin and Cognizant AI Labs have trained an artificial intelligence system to develop optimal environmental policy solutions that…