Results 221 to 230 of about 40,986 (266)

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

International 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, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

DEVELOPMENT OF ECOSYSTEM MODEL OF CORBICULA JAPONICA PRIME BY USING CELL AUTOMATON

, 2001
Yasushi Ichimura, Yuhei MATSUBARA, Mikio Nakamura   +2 more
openalex   +2 more sources

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

International Journal of Adaptive Control and Signal Processing, EarlyView.
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

Generation of Finite Automaton by Genetic Algorithms

, 2001
Tomoyuki Yokoi, Toshihiko Ono
openalex   +2 more sources

Effects of Dalcroze Eurhythmics Exercise Versus Multicomponent Exercise on Physical and Cognitive Function, and Falls in Older Adults: The EPHYCOS Randomized Controlled Trial

Advanced Biology, EarlyView.
In this randomized clinical trial conducted among 142 community‐dwelling older adults at high risk for falls over 12 months, a Dalcroze Eurhythmics exercise intervention (once weekly, group‐based) improved a variety of physical and cognitive/executive function outcomes compared with a multicomponent exercise intervention (twice weekly, group‐ and home ...
Mélany Hars, Natalia Fernandez, François Herrmann, René Rizzoli, Serge Ferrari, Christophe Graf, Patrik Vuilleumier, Andrea Trombetti   +7 more
wiley   +1 more source

Multilevel automaton-based image retrieval and searching

, 2001
Adli AbuShaban
openalex   +2 more sources

Elucidating the Supramolecular Interaction of Positively Supercharged Fluorescent Protein with Anionic Phthalocyanines

Advanced Biology, EarlyView.
Positively supercharged mGreenLatern protein is self‐assembled electrostatically with negatively charged zinc phthalocyanines to yield bio‐based photoactive materials in aqueous media. The addition of phthalocyanines results in the formation of large complexes fully quenching of the protein fluorescence. The results indicate an energy transfer from the
Sharon Saarinen, Ramsha Khan, Marta Patrian, Juan Pablo Fuenzalida‐Werner, Rubén D. Costa, Petr Zimcik, Veronika Novakova, Tero‐Petri Ruoko, Nikolai V. Tkachenko, Eduardo Anaya‐Plaza, Mauri A. Kostiainen   +10 more
wiley   +1 more source

Rules for a cellular automaton to model quantum-dot cellular automata

, 2002
T. Cole, John C. Lusth
openalex   +2 more sources

Distinct Network Morphologies from In Situ Polymerization of Microtubules in Giant Polymer‐Lipid Hybrid Vesicles

Advanced Biology, EarlyView.
The successful in situ polymerization of microtubules in giant polymer‐lipid hybrid vesicles is illustrated. The microtubules formed in the giant hybrid vesicles exhibit different morphologies including lumenal network formation and membrane association. Abstract Creating artificial cells with a dynamic cytoskeleton, akin to those in living cells, is a
Paula De Dios Andres, Mousumi Akter, Cecilie Ryberg, Brigitte Städler, Allen P. Liu   +4 more
wiley   +1 more source

Scaling Up Synthetic Cell Production Using Robotics and Machine Learning Toward Therapeutic Applications

Advanced Biology, EarlyView.
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker, Ido Galil, Omer Kfir, Gal Chen, Rotem Menachem, Jeny Shklover, Avi Schroeder, Shanny Ackerman   +7 more
wiley   +1 more source