Results 91 to 100 of about 14,047 (249)
Frontiers in Signal ProcessingThis paper presents an analysis of properties of two hybrid discretisation methods for Gaussian derivatives, based on convolutions with either the normalised sampled Gaussian kernel or the integrated Gaussian kernel followed by central differences.
Tony Lindeberg
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Structural Concrete, EarlyView.Abstract Chloride‐exposed reinforced‐concrete structures often suffer localized corrosion, so corrosion initiation time and average steel loss are poor indicators of structural performance. This paper presents a spatially resolved, proof‐of‐concept framework that couples diffusion‐based chloride ingress and initiation with a localized morphology model ...
Deniz Yilmaz, Karel Thoma, Ueli Angst
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Log data analysis through tick discretisation [PDF]
, 2016 Nowadays almost every major company has a monitoring system and produces log data to analyse their systems. To perform analysation on the log data and to extract experience for future decisions it is important to transform and synchronize different time ...
Petrov, Ilia +2 more
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Modelling of continuously distributed target for bistatic synthetic aperture radar imaging
The Journal of Engineering, 2020 The point target model is widely used in the synthetic aperture radar (SAR) imaging simulation. Based on this model, the radar echo of a continuously distributed target can be expressed as the linear summation of the echo of many point targets which are ...
Xinliang Chen +3 more
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CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li +3 more
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Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun +4 more
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FPGA‐Based Real‐Time Implementation of Closed‐Loop Brain‐Controlled Eye Movement System
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This paper presents a comprehensive closed‐loop brain‐eye movement framework, spanning parametric modelling, dynamic analysis and real‐time FPGA implementation. A simplified first‐order oculomotor model was derived from the classical Robinson formulation to preserve the essential neural‐mechanical feedback structure while enabling efficient ...
Guodao Zhang +5 more
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On the numerical discretisation of stochastic oscillators
Mathematics and Computers in Simulation, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +5 more sources
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT This study investigates early detection of heart diseases using a new Enhanced Fuzzy Min‐Max (EFMM) neural network. Two key modifications are introduced: a refined EFMM contraction procedure during the learning phase to reduce data distortion and information loss, and a new weighted validation method to optimise hyperbox selection and improve ...
Mohammed Falah Mohammed +3 more
wiley +1 more source
Holistic discretisation of shear dispersion in a two-dimensional channel [PDF]
, 2003 Consider the spread of a contaminant along a 2D channel or river. We directly derive the 1D discrete numerical model from the 2D advective and diffusive dynamics for the evolution of the contaminant.
MacKenzie, T., Roberts, A. J.
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