Results 211 to 220 of about 2,443,182 (340)

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

Calculating Bias in Test Score Equating in a NEAT Design. [PDF]

Appl Psychol Meas
Wiberg M, Laukaityte I.
europepmc   +1 more source

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

Dissociating external and internal attentional selection. [PDF]

iScience
Arora K, Gayet S, Kenemans JL, Van der Stigchel S, Chota S.   +4 more
europepmc   +1 more source

Toward Design Principles for Biomolecular Condensates for Metabolic Pathways

Advanced Biology, EarlyView.
Biomolecular condensates are membrane‐less compartments found through‐out nature which can serve as reaction crucibles for biochemical processes. This review explores the design strategies underlying how condensates can be used in biotechnology to enhance multistep enzyme cascades including enhancement by mass action and substrate channeling, and ...
Alain A.M. André, Nikita Rehnberg, Ankush Garg, Magnus Kjærgaard   +3 more
wiley   +1 more source

The Contribution of Negative Expectancies to Emotional Resilience. [PDF]

Behav Sci (Basel)
Tough J, Grafton B, MacLeod C, Van Bockstaele B.   +3 more
europepmc   +1 more source

Bias Analysis of Experiments for Multi-Item Multi-Period Inventory Control Policies [PDF]

X. Chen, Xingyu Bai, Zeyu Zheng, Nian Si
openalex   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Therapeutic Exercise Prescription for Overhead Athletes with Shoulder Impingement Syndrome: A Systematic Review and CERT Analysis. [PDF]

J Clin Med
Guérineau F, Sosa-Reina MD, Almazán-Polo J, Bailón-Cerezo J, González-de-la-Flor Á.   +4 more
europepmc   +1 more source

Ultra‐Shallow Flat Heat Waves on Low Thermal Conductivity Flexible Polyimide Substrate for Millisecond Thermal Analysis of Materials and Bioelectronic Applications

Advanced Engineering Materials, EarlyView.
An electronic system is presented consisting of a silver thin‐film electrode on a polyimide substrate working both as a heating element and a resistive temperature sensor, generating millisecond heat pulses with very fast heating and cooling rates and a flat peak temperature with a tunable duration.
Bahman K. Boroujeni, Jan Frede, Simon T. Herrmann, Natalie Heinen, Hans Kleemann, Stephanie Pfaender   +5 more
wiley   +1 more source