Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review
Cognitive load theory suggests that overloading of working memory may negatively affect
the performance of human in cognitively demanding tasks. Evaluation of cognitive load is a …
the performance of human in cognitively demanding tasks. Evaluation of cognitive load is a …
Feature selection and hyperparameters optimization employing a hybrid model based on genetic algorithm and artificial neural network: Forecasting dividend payout …
Among the most crucial factors that should be considered in the fundamental decision-
making processes of companies is dividend policy. All market participants pay close …
making processes of companies is dividend policy. All market participants pay close …
[PDF][PDF] Mind Unveiled: Cutting-Edge Neuroscience and Precision Brain Mapping
Neuroscience, a dynamic field at the forefront of scientific exploration, is unravelling the
complexities of the human brain. By merging biology, psychology, physics, and computer …
complexities of the human brain. By merging biology, psychology, physics, and computer …
Enhancing Mental Workload Classification in Neuroscience: Deep Learning Approaches
This study aims to classify mental workload levels from n-back cognitive data by employing a
diverse set of deep learning approaches capable of accommodating both dense and sparse …
diverse set of deep learning approaches capable of accommodating both dense and sparse …
Decoding the Flow Experience in Video Games: An Analysis of Physiological and Performance Metrics
D Zhang, Q Wu, X Huang, B Zhang - International Forum on Digital TV and …, 2023 - Springer
We explore the application of psychophysiological measures to gain real-time and objective
insights into the flow experience of gamers, aiming to overcome the limitations of traditional …
insights into the flow experience of gamers, aiming to overcome the limitations of traditional …