Results 101 to 110 of about 49,604 (295)

Conundrums of Localized Surface Plasmon Resonance Biosensors

Small, EarlyView.
Localized surface plasmon resonance (LSPR) biosensing faces fundamental conundrums arising from finite field decay lengths, environmental cross‐sensitivities, and batch variability. Competing surface, bulk, and electrostatic effects can induce red or blue spectral shifts, complicating quantification, reproducibility, and interpretation in complex or ...
Nikhil Bhalla
wiley   +1 more source

Empirical Physics‐Based Normal Behavior Modeling of Drive Train Temperatures With High‐Resolution Wind Turbine Operating Data

Wind Energy, EarlyView.
ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein, Victor von Maltzahn, Karoline Pelka   +2 more
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

Clearing the Air: How Fine Particulate Matter Regulations Reshape Farmland Values in U.S. Corn and Soybean Regions

Journal of Agricultural Economics, EarlyView.
ABSTRACT We investigate the impact of air quality regulations targeting fine particulate matter (PM2.5) on farmland values in corn and soybean producing counties in the United States over the period 1997–2022. Using self‐reported farmland value data from the Agricultural Census and county‐level pollution classifications provided by the Environmental ...
Cécile Couharde, Rémi Generoso
wiley   +1 more source

The importance of considering regimes in long‐term asset allocation to real estate

Real Estate Economics, EarlyView.
Abstract We investigate the long‐term, regime‐dependent asset allocation of an investor's wealth in a mixed‐asset portfolio that includes publicly traded real estate. We show that augmenting standard VAR models with Markov‐switching features not only improves predictive power for asset returns but also introduces economically meaningful horizon effects
Massimo Guidolin, Mingwei (Max) Liang, Milena Petrova   +2 more
wiley   +1 more source

Stabilization of fast recursive least-squares transversal filters

, 1986
Disponible dans les fichiers attachés à ce ...
Botto, Jean-Luc, Moustakides, George
openaire   +1 more source

Sustainability in Healthcare: The Role of Digital Technologies for Improving Patient Engagement

Business Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT Sustainability in healthcare is getting considerable research attention as systems worldwide tend to balance environmental, social, and economic factors. In this context, digital technologies have demonstrated significant potential to enhance engagement among different consumer groups across various industries.
Francesco Schiavone, Federica Zeuli, Olga Grieva, Octavio Escobar, Fabian Bernhard   +4 more
wiley   +1 more source

Combining Forgetting Factor Recursive Least Squares and Adaptive Extended Kalman Filter Techniques for Dynamic Estimation of Lithium Battery State of Charge

Engineering Proceedings
For electric vehicles widely used recently, lithium-ion batteries serve as the primary energy storage units, affecting the vehicles’ performance, safety, and lifespan. Accurate state of charge (SOC) estimation is pivotal for the battery management system
En-Jui Liu, Cai-Chun Ting, Wei-Hsuan Hsu, Pei-Zhang Chen, Wei-Hua Hong, Hung-Chih Ku   +5 more
doaj   +1 more source

Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Intensive longitudinal data are often found to be non‐stationary, namely, showing changes in statistical properties, such as means and variance‐covariance structures, over time. One way to accommodate non‐stationarity is to specify key parameters that show over‐time changes as time‐varying parameters (TVPs). However, the nature and dynamics of
Meng Chen, Michael D. Hunter, Sy‐Miin Chow   +2 more
wiley   +1 more source

Extending reliability to intensive longitudinal data with the Kalman filter

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is central to how researchers approach measurement in standard, group‐based analyses of single‐time‐point data, yet this critical aspect is often overlooked in the analysis of repeated observations. Since its inception, reliability has been a between‐person concept, but we redevelop this notion for within‐person designs by ...
Michael D. Hunter
wiley   +1 more source