Results 151 to 160 of about 188,817 (310)

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Parameter estimation in nonlinear AR–GARCH models [PDF]

This paper develops an asymptotic estimation theory for nonlinear autoregressive models with conditionally heteroskedastic errors. We consider a general nonlinear autoregression of order p (AR(p)) with the conditional variance specified as a general ...
Mika Meitz, Pentti Saikkonen
core  

Flexible Pressure Sensor With Co‐Optimized Sensitivity and Linearity Based on Gradient Toroidal Microstructures

Advanced Materials Technologies, EarlyView.
A flexible piezoresistive pressure sensor with gradient toroidal CNT/PDMS microstructures is reported. The hierarchical geometry enables sequential electrode contact, achieving a sensitivity of 256.20 kPa−1 and linear response (R2 = 0.99) over 0–1000 kPa.
Rongmei Wang, Ruolin Liu, Ming Lei, Yifan Liu, Fengming Hu, Bing Ji, Chao Peng, Jianyi Luo, Bingpu Zhou   +8 more
wiley   +1 more source

Fully Printed Electrocaloric Heat Pump

Advanced Materials Technologies, EarlyView.
A system based on a flexible printed PEDOT:PSS/P(VDF‐TrFE‐CFE) electrocaloric membrane. The membrane periodically alternates between the cold and hot sides following its electrocaloric cycle and successfully generates a temperature difference. The entire fabrication process is industrially scalable, cost‐effective, and based on widely accessible ...
Adrian Agreda, Florian Le Goupil, Guillaume Payrot, Sokha Khiev, Jean‐David Isasa, Wiljan Smaal, Guillaume Fleury, Georges Hadziioannou   +7 more
wiley   +1 more source

Evolutionary Multiresolution Filtering to Forecast Nonlinear Time Series

Journal of Intelligent Systems, 2005
Gomez-Ramírez, E., Ayala-Hernández, A.   +1 more
doaj   +1 more source

Empirical Analysis of Time Series

Time series occur in many fields of biology, physics, chemistry, engineering. Much work has been recently performed in statistical physics using specific mathematical techniques on various time series pertaining to so-called nonlinear phenomena.
Ausloos, M
core  

Thickness‐Dependent Infrared Emissivity of Ultrathin Freestanding MoSiN Nanocomposite Membranes

Advanced Optical Materials, EarlyView.
ABSTRACT Metals and dielectrics show opposite trends in thickness‐dependent infrared emissivity: metallic films exhibit a rise in emissivity below a critical thickness, while dielectric films show a corresponding decline. For applications demanding both high emissivity and mechanical strength in membranes with nanoscale thickness, combining these ...
Reethu Sebastian, Amrid Amnache, Nadi Braidy, Luc G. Fréchette   +3 more
wiley   +1 more source

Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering

Advanced 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, Fedor Kovalev, Mingkai Liu, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Mariusz Martyniuk, Ilya Shadrivov   +7 more
wiley   +1 more source

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

Epidemiology, 2017
van Gaalen RD, van de Kassteele J, Hahné SJM, Bruijning-Verhagen P, Wallinga J.   +4 more
europepmc   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced 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, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source