Results 71 to 80 of about 108,365 (267)

Full‐Spectrum Solar Harvesting and Desalination Enabled by Supra‐Nano Amorphous Ruthenium Dioxide – Mineral Composites

open access: yesAdvanced Functional Materials, EarlyView.
A mineral‐based supra‐nano amorphous ruthenium dioxide composite (a‐Ru0.5‐AM) was designed, achieving 97% broadband solar absorption. Under one sun, it reaches 87.91 ± 0.32 °C with a distinct thermal buffering effect that favors thermal confinement.
Yunchen Long   +13 more
wiley   +1 more source

ViGLAD: Vision Graph Neural Networks for Logical Anomaly Detection

open access: yesIEEE Access
Quality inspection is an industrial field with a growing interest in anomaly detection research. An anomaly in an image can either be structural or logical.
Firas Zoghlami   +4 more
doaj   +1 more source

Recent Progress of Anomaly Detection

open access: yesComplexity, 2019
Anomaly analysis is of great interest to diverse fields, including data mining and machine learning, and plays a critical role in a wide range of applications, such as medical health, credit card fraud, and intrusion detection.
Xiaodan Xu, Huawen Liu, Minghai Yao
doaj   +1 more source

High‐Rate FA‐Based Co‐Evaporated Perovskites: Understanding Rate Limitations and Practical Considerations to Overcome Their Impact

open access: yesAdvanced Functional Materials, EarlyView.
Vacuum‐based deposition is promising for perovskite solar cells to be successfully commercialized. However, co‐evaporation, the most common vapor phase deposition technique, suffers from very low deposition rates. In this work, we reveal that high deposition rates can lead to carbon flakes depositing into the perovskite absorber layers due to material ...
Thomas Feeney   +13 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Research on traffic representation in network anomaly detection

open access: yesTongxin xuebao
Aiming to address the problem of information loss in traffic representation for network anomaly detection, the impact of feature information dimension of different traffic representation on anomaly detection performance was analyzed from the perspective ...
SUN Jianwen, ZHANG Bin, CHANG Heyu
doaj  

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Anomalous Stiffening of a Conjugated Polymer During Electrochemical Oxidation

open access: yesAdvanced Functional Materials, EarlyView.
The electromechanical response of a thienothiophene‐based conjugated polymer with triethylene glycol side chains is investigated. Electrochemical nanoindentation and atomic force microscopy reveal a modest and reversible increase in elastic modulus at room temperature upon electrochemical oxidation.
Judith Pons i Tarrés   +17 more
wiley   +1 more source

Electro‐Active Polymer Actuated Microfiltration Membranes: Design, Performance, and Particle Dynamics

open access: yesAdvanced Functional Materials, EarlyView.
The concept of foulant particle manipulation and detachment from active microfiltration membranes via voltage‐driven vibrations is introduced. Actuator components are initially integrated onto the filtration membranes using an airbrush spray printing technique.
Irem Gurbuz, Hanieh Bazyar, Andres Hunt
wiley   +1 more source

A systematic survey: role of deep learning-based image anomaly detection in industrial inspection contexts

open access: yesFrontiers in Robotics and AI
Industrial automation is rapidly evolving, encompassing tasks from initial assembly to final product quality inspection. Accurate anomaly detection is crucial for ensuring the reliability and robustness of automated systems.
Vinita Shukla   +3 more
doaj   +1 more source

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