Results 151 to 160 of about 19,312,029 (301)

Electrochemistry‐Enabled Optical and Plasmonic Programmable Metasurfaces

open access: yesAdvanced Optical Materials, EarlyView.
Electrochemistry is emerging as a promising approach for engineering optical and plasmonic metasurfaces, from the fabrication of nanoscale structures to their dynamic control. This Perspective reviews electrochemical strategies for creating and tuning metasurfaces, examines current challenges and opportunities, and discusses how integration with ...
Charlène Brissaud, Leonardo Scarabelli
wiley   +1 more source

Evolutionary Multiresolution Filtering to Forecast Nonlinear Time Series

open access: yesJournal of Intelligent Systems, 2005
Gomez-Ramírez, E.   +1 more
doaj   +1 more source

An Out-of-Sample Test for Nonlinearity in Financial Time Series: An Empirical Application [PDF]

open access: yes
This paper employs a local information, nearest neighbour forecasting methodology to test for evidence of nonlinearity in financial time series. Evidence from well-known data generating process are provided and compared with returns from the Athens stock
Theodore Panagiotidis
core  

Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering

open access: yesAdvanced Photonics Research, Volume 6, Issue 5, May 2025.
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik   +7 more
wiley   +1 more source

Determinants of Rotavirus Transmission: A Lag Nonlinear Time Series Analysis. [PDF]

open access: yesEpidemiology, 2017
van Gaalen RD   +4 more
europepmc   +1 more source

Forecasting The Exchange Rate Series With Ann: The Case Of Turkey [PDF]

open access: yes
As it is possible to model both linear and nonlinear structures in time series by using Artificial Neural Network (ANN), it is suitable to apply this method to the chaotic series having nonlinear component.
Cagdas Hakan Aladag   +2 more
core  

From Rigid to Soft Robotic Approaches for Neuroendoscopy

open access: yesAdvanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday   +3 more
wiley   +1 more source

Chaotic Time Series Analysis in Economics: Balance and Perspectives [PDF]

open access: yes
To show that a mathematical model exhibits chaotic behaviour does not prove that chaos is also present in the corresponding data. To convincingly show that a system behaves chaotically, chaos has to be identified directly from the data. From an empirical
Marisa Faggini
core  

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