Results 101 to 110 of about 271,753 (311)

Stochastic post-processing calculation of iron losses – application to a PMSM [PDF]

open access: yes, 2013
To take account of the uncertainties introduced on the magnetic properties during the manufacturing process, the present work aims to focus on the stochastic modelling of iron losses in electrical machine stators.
RAMAROTAFIKA, Rindra   +5 more
core   +1 more source

Stochastic Small Signal Stability of a Power System with Uncertainties

open access: yesEnergies, 2018
The ever-increasing penetration of wind power generation and plug-in electric vehicles introduces stochastic continuous disturbances to the power system.
Yan Xu   +5 more
doaj   +1 more source

PolyGraph – Flexible, Biocompatible & Electrically Optimized Graphene‐Polymer Composites for Next‐Generation Neural Interfaces

open access: yesAdvanced Healthcare Materials, EarlyView.
PolyGraph, a flexible graphene‐polycaprolactone nanocomposite, unites conductivity, biocompatibility, and processability for next‐generation neural interfaces. Fabricated into microneedle arrays with ultra‐flexible backings, PolyGraph enables bidirectional neuronal recording and stimulation in brain tissue, advancing brain‐computer interface (BCI) and ...
Jack Maughan   +12 more
wiley   +1 more source

Functional Methods in Stochastic Systems [PDF]

open access: yes, 2012
Plenary talk presented at Mathematical Modeling and Computational Science.
openaire   +2 more sources

Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration

open access: yesAdvanced Healthcare Materials, EarlyView.
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu   +4 more
wiley   +1 more source

The Evaluation Of Barrier Option Prices Under Stochastic Volatility [PDF]

open access: yes
This paperc onsiders the problem o fnumerically evaluating barrier option prices when the dynamics of the underlying are driven by stochastic volatility following the square root process of Heston (1993). We develop a method of lines approach to evaluate
Boda Kang   +2 more
core  

Effects of Wiener process on analytical wave solutions for (3+1) dimensional nonlinear Schrödinger equation using modified extended mapping method

open access: yesResults in Physics
In this study, we investigate the soliton solutions for stochastic (3+1) dimensional nonlinear Schrödinger equation (NLSE). Our Study mainly depends on applying the modified extended mapping method to construct various and novel stochastic solutions for ...
Mohammed F. Shehab   +4 more
doaj   +1 more source

Vehicle Relocation Triggering Thresholds Determination in Electric Carsharing System under Stochastic Demand

open access: yesJournal of Advanced Transportation, 2018
Vehicle unbalance usually occurs in multistation electric carsharing systems. Threshold triggering method is one of the most practicable approaches for vehicle relocation, while determination of thresholds has not been sufficiently studied particularly ...
Wanjing Ma, Lei Wang, Lin Li
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Adam: A Method for Stochastic Optimization

open access: yes, 2014
We introduce Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates of lower-order moments. The method is straightforward to implement, is computationally efficient, has little memory requirements, is invariant to diagonal rescaling of the gradients, and is well suited for problems ...
Kingma, D.P., Ba, L.J.
openaire   +3 more sources

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