Results 241 to 250 of about 175,129,583 (297)

Control over Recommendation Algorithms in Heterogeneous Modular Systems with Dynamic Opinions. [PDF]

Entropy (Basel)
Gezha V, Kozitsin I.
europepmc   +1 more source

Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring

Advanced Functional Materials, EarlyView.
A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng, Shawn Kim, Jonathan Avery, Younghoon Kwon, Jae‐Hyun Chung   +4 more
wiley   +1 more source

Identifiable learning of dissipative dynamics. [PDF]

Nat Commun
Zhu A, Soh BW, Pavliotis GA, Li Q.
europepmc   +1 more source

Echo state network-based model reference adaptive predefined time control for magnetic levitation linear synchronous motor. [PDF]

Sci Rep
Sun Y, Bai W, Xu Z, Chai A, Li H, Wang J.   +5 more
europepmc   +1 more source

seqme: a Python library for evaluating biological sequence design from generative models. [PDF]

Bioinform Adv
Møller-Larsen R, Izdebski A, Olszewski J, Gawade P, Kmicikiewicz M, Zarzecki W, Szczurek E.   +6 more
europepmc   +1 more source

Two-Temperature and Thermal Plasma Kinetic Theories. [PDF]

Entropy (Basel)
Giovangigli V.
europepmc   +1 more source

A protection strategy for distribution networks using IoT technology and support vector machine. [PDF]

Sci Rep
Shalby EM, Abdelaziz AY, Ahmed ES, Rashad BA.   +3 more
europepmc   +1 more source

Modeling Heterogeneity in Health Risk Behaviors With a Dynamic Mixture Model Informed by Textual Occupational Data. [PDF]

Stat Med
Schiavon L, Stival M, Andreella A, Campostrini S.   +3 more
europepmc   +1 more source

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Local Function Approximation in Evolutionary Algorithms for the Optimization of Costly Functions

IEEE Transactions on Evolutionary Computation, 2004
We develop an approach for the optimization of continuous costly functions that uses a space-filling experimental design and local function approximation to reduce the number of function evaluations in an evolutionary algorithm. Our approach is to estimate the objective function value of an offspring by fitting a function approximation model over the k
Rommel G. Regis, Christine A. Shoemaker
exaly   +3 more sources