Results 161 to 170 of about 10,780,976 (339)
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source
Using the job demands‐resources model to predict burnout and performance [PDF]
Arnold B. Bakker+2 more
openalex +1 more source
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley +1 more source
The level of job satisfaction has a significant impact on an individual's job behaviors. In any organization, job satisfaction affects performance as part of job behavior significantly. Its importance in developing nations like Bangladesh is clear.
Md. Abu Issa Gazi+4 more
doaj
Generative Artificial Intelligence Literacy: Scale Development and Its Effect on Job Performance. [PDF]
Liu X, Zhang L, Wei X.
europepmc +1 more source
Employees' Goal Orientations, the Quality of Leader-Member Exchange, and the Outcomes of Job Performance and Job Satisfaction [PDF]
Onne Janssen, Nico W. Van Yperen
openalex +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam+2 more
wiley +1 more source
The effect of work-family conflict on staff nurses' job performance: the mediating role of emotional intelligence. [PDF]
Aldhafeeri NA+2 more
europepmc +1 more source
Neural Network Adaptive Control With Long Short‐Term Memory
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc+4 more
wiley +1 more source