Results 161 to 170 of about 5,322,488 (334)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
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

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva   +4 more
wiley   +1 more source

Activation of NF‐κB Signaling by Optogenetic Clustering of IKKα and β

open access: yesAdvanced Biology, EarlyView.
This study presents an optogenetic approach for graded clustering of eGFP‐fused proteins using an eGFP‐specific nanobody and engineered Cryptochrome 2 variants. The method enables potent, reversible activation of NF‐κB signaling via endogenous pathways, as confirmed by RNA sequencing. This versatile system provides a spatially and temporally controlled
Alexandra Anna Maria Fischer   +8 more
wiley   +1 more source

Genetic algorithm for parameter optimization of supercapacitor model. [PDF]

open access: yesPLoS One
Menezes F   +6 more
europepmc   +1 more source

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