Results 171 to 180 of about 3,557 (290)

Interfacial Regulation–Driven Dual‐Enrichment SERS Coupled With Deep Learning Enable Ultrasensitive and In Situ Identification of Microplastics in Natural Waters

open access: yesSmall, EarlyView.
A membrane‐confined SERS platform constructs a dense network of vertical hotspots using PSS‐Na‐modified Au@Ag nanocubes for sensitive and reproducible microplastic detection in complex environmental water matrices. Coupled with an attention‐based 1D‐CNN, it enables accurate polymer identification and semi‐quantitative mixture prediction for intelligent
Chaochao Ma   +9 more
wiley   +1 more source

A Context‐Aware Decision Support Framework for Scientific Experiment Configuration

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri   +3 more
wiley   +1 more source

Portable Radar for Noncontact Heart Rate Monitoring and Estrus Detection in Dairy Cows

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
This study introduces a portable radar system for real‐time monitoring of respiratory and heart rates in dairy cows. It uses millimeter‐wave Frequency Modulated Continuous Wave (FMCW) radar to perform noncontact physiological sensing, reducing behavioral disturbance. The radar system's design prioritizes portability, cost‐effectiveness, and robustness,
Yingxiu Li   +7 more
wiley   +1 more source

AI‐assisted automated endpoint interpretation for turbidity‐based digital LAMP using bright‐field microscopy

open access: yesVIEW, EarlyView.
Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen   +7 more
wiley   +1 more source

YOLO‐GDCNN: Real‐Time Operating Point Detection for Live Working Robots in the Power Industry

open access: yesHigh Voltage, EarlyView.
ABSTRACT In the power industry maintenance, the capability of live working robots to detect and operate with power components in real time is paramount. This paper proposes a cascaded detection framework for real‐time detection of live working operation points, named YOLO‐GDCNN. The framework consists of two parts.
Haoning Zhao   +7 more
wiley   +1 more source

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