Results 241 to 250 of about 733,000 (317)

Nanoplasmonic Sensing of Heterogeneous Extracellular Vesicles: From Bulk to Single Vesicles

open access: yesSmall Methods, EarlyView.
Extracellular vesicles (EVs) are highly heterogeneous nanoscale blood biomarkers. With their tunable implementations, nanoplasmonic platforms can capture myriad vesicular information via scalable bulk analyses of EV biomarkers or high‐resolution single‐vesicle measurements.
Yan Zhang, Chao Wang, Huilin Shao
wiley   +1 more source

Evaluating Multi‐Label Machine Learning Models for Smart Home Environments

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Context Smart home devices have become increasingly popular in modern households, powered by the Internet of Things (IoT) advances. The data generated by smart devices can provide valuable insights into users' behavior and preferences. By analyzing the data, one can understand how people interact with their homes, thus creating a “smart home ...
Diego Corrêa da Silva   +10 more
wiley   +1 more source

Physically Unclonable Function Utilizing Stochastic Indirect Exchange Interaction

open access: yesSmall Structures, EarlyView.
A physically unclonable function (PUF) utilizes manufacturing variations to create secret keys. This study proposes a spin–orbit torque PUF model based on the Ruderman–Kittel–Kasuya–Yosida interaction. It features near‐ideal properties that can operate under zero magnetic field and varying temperatures.
Jeong Kyu Lee   +3 more
wiley   +1 more source

All‐Dielectric Metalens for Efficient Chiral Characterization

open access: yesSmall Structures, EarlyView.
In this article, a versatile all‐dielectric metalens is reported for compact and efficient chirality characterization. In silicon (Si) nanopillars with large height, it is revealed that the phases of two closely spaced wavelengths can be controlled independently without crosstalk.
Baichuan Bo   +6 more
wiley   +1 more source

Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models

open access: yesStructural Concrete, EarlyView.
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou   +3 more
wiley   +1 more source

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