Results 51 to 60 of about 51,989 (223)

A Gaussian Process Method with Uncertainty Quantification for Air Quality Monitoring

open access: yesAtmosphere, 2021
The monitoring and forecasting of particulate matter (e.g., PM2.5) and gaseous pollutants (e.g., NO, NO2, and SO2) is of significant importance, as they have adverse impacts on human health.
Peng Wang   +9 more
doaj   +1 more source

Photonic Hybrid Integration: Strategies and Promises of Advanced Additive Manufacturing

open access: yesAdvanced Optical Materials, EarlyView.
Heterogeneous photonic integration combines wafer bonding, transfer printing, and advanced multi‐photon lithography to realize compact, adaptable photonic systems. This review highlights breakthroughs in hybrid materials, metrology, and 4D printing, revealing how the convergence of traditional and emerging fabrication unlocks scalable, high‐performance
Zhitian Shi   +3 more
wiley   +1 more source

Two Features of the GINAR(1) Process and Their Impact on the Run-Length Performance of Geometric Control Charts

open access: yesEntropy, 2023
The geometric first-order integer-valued autoregressive process (GINAR(1)) can be particularly useful to model relevant discrete-valued time series, namely in statistical process control.
Manuel Cabral Morais
doaj   +1 more source

An Intelligent Magneto‐Mechanical Platform for Cellular Sensing in 3D Microenvironments

open access: yesAdvanced Science, EarlyView.
This study presents MagMI, a pioneering machine intelligence‐driven magneto‐mechanical sensing platform. It utilizes magneto‐mechanical arrays and machine learning to achieve label‐free, real‐time monitoring and classification of cellular proliferation dynamics within 3D microenvironments.
Yue Quan   +4 more
wiley   +1 more source

Strategies of method selection for fine-scale PM2.5 mapping in an intra-urban area using crowdsourced monitoring [PDF]

open access: yesAtmospheric Measurement Techniques, 2019
Fine particulate matter (PM2.5) is of great concern to the public due to its significant risk to human health. Numerous methods have been developed to estimate spatial PM2.5 concentrations in unobserved locations due to the sparse number of fixed ...
S. Xu   +5 more
doaj   +1 more source

Condition monitoring wind turbine gearboxes using on-line/in-line oil analysis techniques [PDF]

open access: yes, 2011
Paper examining condition monitoring wind turbine gearboxes using on-line/in-line oil analysis ...
Quail, Francis J.
core  

Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update

open access: yesAdvanced Science, EarlyView.
This review explores recent advances in the past five years for non‐traditional RAFT polymerization, focusing on new activation strategies, sustainable depolymerization, and integration with automated and AI‐driven synthesis. Together, these innovations advance polymer chemistry and reveal how the pieces of the non‐traditional RAFT puzzle are steadily ...
Vianna F. Jafari   +10 more
wiley   +1 more source

Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian   +37 more
wiley   +1 more source

Collaborative Multi-Expert Active Learning for Mobile Health Monitoring: Architecture, Algorithms, and Evaluation

open access: yesSensors, 2020
Mobile health monitoring plays a central role in the future of cyber physical systems (CPS) for healthcare applications. Such monitoring systems need to process user data accurately.
Ramyar Saeedi   +2 more
doaj   +1 more source

Design of a Capacitance-to-Digital Converter Based on Iterative Delay-Chain Discharge in 180 nm CMOS Technology

open access: yesSensors, 2021
The design of advanced miniaturized ultra-low power interfaces for sensors is extremely important for energy-constrained monitoring applications, such as wearable, ingestible and implantable devices used in the health and medical field.
Mattia Cicalini   +3 more
doaj   +1 more source

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