Application of artificial intelligence in cognitive load analysis using functional near-infrared spectroscopy: A systematic review

MA Khan, H Asadi, L Zhang, MRC Qazani… - Expert Systems with …, 2024 - Elsevier
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 …

Real-time state estimation in a flight simulator using fNIRS

T Gateau, G Durantin, F Lancelot, S Scannella… - PloS one, 2015 - journals.plos.org
Working memory is a key executive function for flying an aircraft. This function is particularly
critical when pilots have to recall series of air traffic control instructions. However, working …

In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI

T Gateau, H Ayaz, F Dehais - Frontiers in human neuroscience, 2018 - frontiersin.org
There is growing interest for implementing tools to monitor cognitive performance in
naturalistic work and everyday life settings. The emerging field of research, known as …

Transformer model for functional near-infrared spectroscopy classification

Z Wang, J Zhang, X Zhang, P Chen… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Functional near-infrared spectroscopy (fNIRS) is a promising neuroimaging technology. The
fNIRS classification problem has always been the focus of the brain-computer interface …

Roles of the prefrontal cortex in learning to time the onset of pre-existing motor programs

BC Lee, J Choi, BJ Martin - PloS one, 2020 - journals.plos.org
The prefrontal cortex (PFC) is involved in cognitive control of motor activities and timing of
future intensions. This study investigated the cognitive control of balance recovery in …

Reinforcement learning for stock prediction and high-frequency trading with T+ 1 rules

W Zhang, T Yin, Y Zhao, B Han, H Liu - IEEE Access, 2022 - ieeexplore.ieee.org
The high-frequency trading framework for the price trend prediction model and trading
strategy has been a popular approach for T+ 0 trading in the stock market. The prediction …

Processing functional near infrared spectroscopy signal with a Kalman filter to assess working memory during simulated flight

G Durantin, S Scannella, T Gateau… - Frontiers in human …, 2016 - frontiersin.org
Working memory (WM) is a key executive function for operating aircraft, especially when
pilots have to recall series of air traffic control instructions. There is a need to implement …

TradeBot: Bandit learning for hyper-parameters optimization of high frequency trading strategy

W Zhang, L Wang, L **e, K Feng, X Liu - Pattern Recognition, 2022 - Elsevier
Quantitative trading takes advantage of mathematical functions for automatically making
stock or futures trading decisions. Specifically, various trading strategies that proposed by …

YATIRIMCILAR İÇİN TEKNİK ANALİZ: BITCOIN VE ETHEREUM UYGULAMALARI

U Uyar, GS Kelten, T Moralı - Finansal Araştırmalar ve Çalışmalar …, 2020 - dergipark.org.tr
Bireysel ve kurumsal yatırımcıların finansal piyasalarda yatırım kararları alırken sıklıkla
kullandıkları analizler temel analiz ve teknik analiz şeklinde ikiye ayrılmaktadır. Temel …

STCS: A practical solar radiation based temperature correction scheme in meteorological WSN

B Wang, X Gu, S Yan - International Journal of Sensor …, 2018 - inderscienceonline.com
Wireless sensor network (WSN) has been used to construct intelligent meteorological
observation network to achieve fine observation data. But the accuracy of the low-cost …