Results 81 to 90 of about 3,374 (214)
Computational Methods for Parameter Estimation in Nonlinear Models [PDF]
This dissertation expands on existing work to develop a dynamical state and parameter estimation methodology in non-linear systems. The field of parameter and state estimation, also known as inverse problem theory, is a mature discipline concerned with ...
Toth, Bryan Andrew
core
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Computational Methods for Design of Smart Material Morphing Structures with Localized Activation and Actuation [PDF]
There is significant ongoing interest to develop smart structure technologies, such as those that can automatically detect their condition and/or actively change their geometry or material behaviors to adapt to adverse conditions or otherwise improve ...
Wang, Shuang
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Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Speckle Skin‐Based Multimodal Tactile Perception for Fine Robotic Manipulation
SpeckleTac, a miniature vision‐based tactile sensor, utilizes a speckle‐pattern skin and optical flow‐based scalable virtual marker tracking. Combined with advanced algorithms, it achieves high‐resolution 3D surface reconstruction, precise contact perception, and stable grasping capabilities.
Jiayuan Zhang +6 more
wiley +1 more source
Modelagem de transformadores em função da frequência [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Os transformadores desempenham um papel importante nos sistemas elétricos. Ao longo do tempo as técnicas de construção e
Januário, Marconi
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Objective Parkinson's disease (PD) is increasingly conceptualized as a disorder of large‐scale brain networks, yet whether and how frequency‐specific functional connectivity reorganizes across stages remains poorly understood. In this study, we used high‐density electroencephalography (EEG) to characterize cortico‐cortical functional connectivity ...
Matteo Conti +15 more
wiley +1 more source
Abstract Improving fertilizer use efficiency is essential for reducing environmental pollution, sustaining agricultural production, and maximizing the economic profitability of crop production systems. This study tested the hypothesis that the formulation strategy of biochar‐based fertilizers, rather than nutrient addition alone, is associated with ...
Md. Al‐Amin +7 more
wiley +1 more source
Identification of coupling direction: Application to cardiorespiratory interaction
INTRODUCTION Theoretical insigths in nonlinear dynamics have been widely used in time series analysis [1]. In particular, the concepts of generalized [2] and phase [3-5] synchronization have been exploited for the identi cation of interdependencies ...
Anastasios Bezerianos +4 more
core
Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley +1 more source

