Results 71 to 80 of about 953 (204)
Our study reveals that caving‐enhanced geothermal systems (C‐EGS) with adequately fractured reservoirs achieve optimal heat extraction by minimizing preferential flow paths, while conventional fracturing (F‐EGS) and pipe‐based (P‐EGS) systems suffer accelerated thermal drawdown.
Fangchao Kang +4 more
wiley +1 more source
This work reveals a “Photovoltaic‐Capacitance” coupling mechanism in stacked Ga2O3/ZnO devices, defining the ZnO/graphene interface as a novel Photovoltaic Dynamic‐Capacitor (PDC). The wavelength‐selective bipolar response enables a physical layer secure communication protocol based on ternary optical logic (“1,” “0,” “−1”).
Songqi Zhao +6 more
wiley +1 more source
A Risk-Based Sensor Management using Random Finite Sets and POMDP
International audienceIn this paper, we consider the problem of scheduling an agile sensor to perform an optimal control action in the case of the multi-target tracking scenario.
Emmanuel Duflos +7 more
core +1 more source
Our computational model of the optical absorption from multiwalled carbon nanotubes suggests the optical absorption depends strongly on the in‐plane electrical conductivity, and weakly on the through‐plane conductivity. Such strong absorption enables solar‐to‐thermal conversion for heat scavenging in cold climates and radiative cooling in hot climates,
José V. Anguita +8 more
wiley +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Body‐integrated photonic biosensors: Illuminating the path to active healthcare
Body‐integrated photonic biosensors are promising tools for active healthcare. These optical devices can be worn, implanted, or swallowed to monitor health signals continuously. This review introduces key sensing modalities, including fluorescence, colorimetry, SPR, LSPR, SERS, and light‐modulating materials.
Jiayue Gu +10 more
wiley +1 more source
MCMC-based posterior independence approximation for RFS multitarget particle filters
The objective of this paper is to approximate the unlabelled posterior random finite set (RFS) density in multitarget tracking (MTT) using particle filters (PFs).
Vo, Ba Tuong +2 more
core
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
As a fundamental information fusion approach, the arithmetic average (AA) fusion has recently been investigated for various random finite set (RFS) filter fusion in the context of multi-sensor multi-target tracking.
Li, Tiancheng
core
This investigation was conducted in two phases. Phase I involved the classification and clinical profiling of AC‐30. In Phase II, quantitative image analysis was performed to explore its associations with clinical parameters. ABSTRACT Background The International Consensus on ANA Patterns (ICAP) recently codified the AC‐30 nuclear pattern ...
Changmeng Wu +5 more
wiley +1 more source

