Results 101 to 110 of about 5,452,269 (307)
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
Switchable Thermal Mid‐IR Conducting Polymer Antenna Arrays
This study presents switchable mid‐infrared plasmonic resonances in PEDOT antenna arrays. Their optical extinction peaks can be reversibly switched ‘OFF’ and ‘ON’ by tuning the polaronic charge carrier concentration via the polymer's redox state, offering modulation of optical responses in the thermal mid‐infrared range including around 10 µm ...
Pravallika Bandaru +5 more
wiley +1 more source
Research on the Combined Detection of Magnetic Anomaly and Shaft‐Rate Magnetic Field Signals
Due to the stable propagation of magnetic signals in ocean and air, magnetic detection technology has become an effective means for nonacoustic detection.
Honglei Wang +2 more
doaj +1 more source
One of the significant challenges with traditional single-task learning-based anomaly detection using noisy hyperspectral images (HSIs) is the loss of anomaly targets during denoising, especially when the noise and anomaly targets are similar. This issue
Yingzhao Shao +5 more
doaj +1 more source
Stacking‐Engineered Magnonic Topology and Transport in Honeycomb Homobilayers
ABSTRACT Topological magnons have emerged as a promising platform for dissipationless bosonic transport. However, a straightforward and effective strategy to engineer such topological states in real materials has yet to be fully realized. Here, a general scheme for controlling magnonic topological states via stacking engineering in van der Waals ...
Xiaoran Feng +6 more
wiley +1 more source
Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa +6 more
wiley +1 more source
Collaborative Anomaly Detection
In recommendation systems, items are likely to be exposed to various users and we would like to learn about the familiarity of a new user with an existing item. This can be formulated as an anomaly detection (AD) problem distinguishing between "common users" (nominal) and "fresh users" (anomalous). Considering the sheer volume of items and the sparsity
Bai, Ke +5 more
openaire +2 more sources
This study shows that lizard osteoderm capping tissue is a hyper‐mineralized hydroxyapatite layer consistently covering the superficial osteoderm surface in those species studied here, yet it varies greatly in morphology, nanostructure, and mechanical performance across species.
Adrian Rodriguez‐Palomo +10 more
wiley +1 more source
Enhancing Time Series Anomaly Detection: A Knowledge Distillation Approach with Image Transformation
Anomaly detection is critical in safety-sensitive fields, but faces challenges from scarce abnormal data and costly expert labeling. Time series anomaly detection is relatively challenging due to its reliance on sequential data, which imposes high ...
Haiwoong Park, Hyeryung Jang
doaj +1 more source
In this report, we demonstrate that a crystalline phase of 52nm thick NiFe2O4 can be grown by RF sputtering on top of γ‐Al2O3(8nm)/SrTiO3 at a significantly low temperature (150 °C) without compromising the mobility and carrier density of the 2D electron gas at the γ‐Al2O3(8nm)/SrTiO3 interface.
Amit Chanda +11 more
wiley +1 more source

