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 …
Real-time state estimation in a flight simulator using fNIRS
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
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 …
stock or futures trading decisions. Specifically, various trading strategies that proposed by …
YATIRIMCILAR İÇİN TEKNİK ANALİZ: BITCOIN VE ETHEREUM UYGULAMALARI
Bireysel ve kurumsal yatırımcıların finansal piyasalarda yatırım kararları alırken sıklıkla
kullandıkları analizler temel analiz ve teknik analiz şeklinde ikiye ayrılmaktadır. Temel …
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 …
observation network to achieve fine observation data. But the accuracy of the low-cost …