Results 41 to 50 of about 6,799,249 (280)
Cavity‐Enhanced Eye‐Readable Detection of 0.1% H2 via Active Modulation of Charge‐Transfer Plasmons
A cavity‐structured nanoparticle sensor is developed for highly sensitive, eye‐readable hydrogen detection. Its excellent colorimetric response arises from a hydrogen‐induced charge‐transfer mechanism: reduction of the dielectric oxide shell in H2 triggers a transition from the plasmonic gap mode to the charge‐transfer plasmon mode.
Xuemin Zhang +9 more
wiley +1 more source
SURVEILLANCE OF RARE EVENTS. ON EVALUATION OF THE SETS METHOD [PDF]
Continual surveillance aiming to detect an increased frequency of some rare event is of interest in several different situations in quality control, medicine, economics and other fields.
Arnkelsdóttir, Hrafnhildur
core +1 more source
A versatile hardware architecture for a constant false alarm rate processor based on a linear insertion sorter [PDF]
Constant False Alarm Rate (CFAR) algorithms are used in digital signal processing applications to extract targets from background in noisy environments.
JOSE ROBERTO PEREZ ANDRADE +3 more
core
Energy‐harvesting‐integrated sensors couple ambient energy conversion with sensing, processing, and wireless communication. This review organizes recent progress through integration architectures and operating principles, revisiting co‐packaged, monolithic, and co‐functional designs together with always‐on, event‐driven, and multi‐modal sensing modes ...
Taehyun Park +5 more
wiley +1 more source
Wavelength-resolution SAR change detection with constant false alarm rate
The paper introduces an incoherent change detection algorithm with constant false alarm rate (CFAR). The algorithm is based on a CFAR detector that preceded with an adaptive noise smoothing filter while the input of the filter is preliminary changes ...
Viet T. Vu +9 more
core +1 more source
Robust CFAR Detector With Ordered Statistic of Sub-Reference Cells in Multiple Target Situations
Herein, a robust constant false alarm rate (CFAR) detector with ordered statistic of sub-reference cells (OSS-CFAR) is proposed in multiple target situations. This detector can improve background level estimation and reduce computational complexity using
Taehee Jeong +3 more
doaj +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
This paper proposes a joint domain localized matrix constant false alarm rate detector based on the space-time adaptive processing and information geometry method to improve the detection performance for high-frequency surface wave radar.
Lei Ye +3 more
doaj +1 more source

