Results 71 to 80 of about 25,409,385 (300)
High‐Quality Free‐Standing Diamond Micromembranes for Nanoscale Quantum Sensing
We report a procedure for fabricating low‐damage free‐standing diamond micromembranes, and we show that this fabrication scheme preserves the optical and spin properties of state‐of‐the‐art shallow NV center quantum sensors, within nanometers of the diamond surface, while providing significant photonic enhancement.
Alexander C Pakpour‐Tabrizi +6 more
wiley +1 more source
Analysis of Semi-Blind Channel Estimation in Multiuser Massive MIMO Systems With Perturbations
In the massive multiple-input multiple-output (MIMO) systems, pilot contamination and signal perturbation are two important issues in the semi-blind channel estimation methods.
Cheng Hu, Hong Wang, Rongfang Song
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Canonical correlation analysis (CCA) study the linear combinations between a two multivariate set of variable that have the maximum association among these two sets of variables. The main computation of the CCA is depend on the sample mean and covariance
Mufda Jameel Alrawashdeh +3 more
doaj +1 more source
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source
Inverse problems in covariate data analysis
The fact that Pearson's correlation coefficient and effect size are perspective functions of covariance parameters demonstrates that how covariance is defined is one of the most important issues in data analysis.
Stanley Luck
doaj +1 more source
Sleep Alters the Velocity of Physiological Brain Pulsations in Humans
Sleep alters I/CSF oscillatory flow, driven by increased respiratory (29%) and vasomotor pulsation (21%) velocities, while cardiovascular pulsations decreased by (22%). Velocity is quantified using optical flow analysis of MREG data. Spectral power increases alongside these pulsations (spatial correlation, r = 0.35 and r = 0.39, respectively ...
Ahmed Elabasy +13 more
wiley +1 more source
The Performance Analysis Based on SAR Sample Covariance Matrix
Multi-channel systems appear in several fields of application in science. In the Synthetic Aperture Radar (SAR) context, multi-channel systems may refer to different domains, as multi-polarization, multi-interferometric or multi-temporal data, or even a ...
Esra Erten
doaj +1 more source
Heuristically Adaptive Diffusion‐Model Evolutionary Strategy
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl +3 more
wiley +1 more source
Consensus Formation and Change are Enhanced by Neutrality
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source

