A framework for spontaneous Brillouin noise: unveiling fundamental limits in Brillouin metrology. [PDF]
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A novel image encryption framework using Wireworld cellular automaton and hybrid chaotic maps for enhanced security. [PDF]
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Research on a Unified Multi-Type Defect Detection Method for Lithium Batteries Throughout Their Entire Lifecycle Based on Multimodal Fusion and Attention-Enhanced YOLOv8. [PDF]
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Accelerating dictionary indexing of electron backscatter diffraction patterns with PCA and quantization. [PDF]
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MLG-STPM: Meta-Learning Guided STPM for Robust Industrial Anomaly Detection Under Label Noise. [PDF]
Huang YH, Lo SL, Chen ZQ, Wang JK.
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LiDAR-Based Long-Term Mapping in Snow-Covered Environments. [PDF]
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The chapter discusses noise mapping in relation to the control of ambient noise. Strategic noise mapping and action plans, including airports, are discussed.
Francis McManus, Andy McKenzie
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In the case of noise modelling preparation of industrial plants, if the client does not have the required quantity and quality of information and data for the proper outcome, we have to produce them for ourselves. In such instances, field survey is essential to obtain the desired data.
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Noise map validation by continuous noise monitoring
Applied Acoustics, 2011Abstract This paper presents a comparison of two noise assessments in the Gdansk agglomeration in Poland. One is based on the noise map produced by computational method for the city in 2007, the second one is based on real data from continuous measurements acquired by a noise monitoring network operating in the city since 2008.
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Image noise-informative map for noise standard deviation estimation
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011The problem of automatic detection of image areas that can be reliably selected for accurate estimation of additive noise standard deviation (STD), irrespectively to processed image properties, is considered in this paper. For getting accurate estimate of either texture or noise parameters involved, we distinguish two complementary image informative ...
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