Results 81 to 90 of about 10,821 (279)

Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses

Advanced Electronic Materials, EarlyView.
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol, Nikhil Garg, Matteo Mazza, Yanming Zhang, Elisa Zaccaria, Wooseok Choi, Bert Jan Offrein, Laura Bégon‐Lours   +7 more
wiley   +1 more source

A Novel Power Curve Modeling Framework for Wind Turbines

Advances in Electrical and Computer Engineering, 2019
This paper presents two main novelties concerning power curve modeling of wind turbines. First novelty lies in the hybridization of 5 widely-used parametric functions and 8 recently-developed metaheuristic optimization algorithms.
YESILBUDAK, M.
doaj   +1 more source

From Flexible to Conformable Pressure Sensors: Mechanisms, Materials, and Biomedical Applications

Advanced Electronic Materials, EarlyView.
This review highlights recent progress, challenges and future opportunities in pressure sensing for advanced biomedical applications. We summarize key transduction mechanisms and emerging material strategies, discuss representative wearable and implantable applications for continuous physiological monitoring and provide a focused perspective on barrier
Rishabh B. Mishra, Andrea Ottomaniello, Virgilio Mattoli   +2 more
wiley   +1 more source

Onset and Risk Period of Functional Sound Tooth Loss: A Hyperbolic Tangent Model

International Dental Journal
Objectives: Existing percentile analyses describe age-related tooth loss trajectories but do not quantify when accelerated loss begins or how long the high-risk period lasts.
Jaesung Lee, Jeong Woo Lee
doaj   +1 more source

Prediction of Availability Indicator of Water Pipes Using Artificial Intelligence

E3S Web of Conferences, 2017
The paper presents the results of artificial neural networks application to the availability indicator prediction. The forecasted results indicate that artificial networks may be used to model the reliability level of the water supply systems.
Kutyłowska Małgorzata
doaj   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Nonlinear convective and radiated flow of tangent hyperbolic liquid due to stretched surface with convective condition

Results in Physics, 2017
The current study compacts with effect of nonlinear convection and radiation on tangent hyperbolic fluid flow of through a convectively heated vertical surface.
B. Mahanthesh, P.B. Sampath Kumar, B.J. Gireesha, S. Manjunatha, R.S.R. Gorla   +4 more
doaj   +1 more source

Selection of MR damper model suitable for SMC applied to semi-active suspension system by using similarity measures

Open Engineering, 2022
This article discusses the research to determine the suitable magnetorheological (MR) damper model to produce the damping force generated by the sliding mode control (SMC) strategy.
Hidayat Raymundus Lullus Lambang Govinda, Wibowo, Santoso Budi, Imaddudin Fitrian, Ubaidillah   +4 more
doaj   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source