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Titlebook: Recent Advances in Knowledge-based Paradigms and Applications; Enhanced Application Jeffrey W. Tweedale,Lakhmi C. Jain Book 2014 Springer I

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樓主: STRI
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發(fā)表于 2025-3-23 13:19:13 | 只看該作者
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發(fā)表于 2025-3-23 21:25:26 | 只看該作者
Advances in Modern Artificial Intelligence,(AI), even if it is embedded within many of the consumer products being marketed. The reality is that society is already in the throws of digitizing its past and continues progressively moves on-line. The volume and breadth of data being processed is becoming unfathomable. This digital future herald
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發(fā)表于 2025-3-23 23:04:38 | 只看該作者
Computing Efficiently Spectral-Spatial Classification of Hyperspectral Images on Commodity GPUs,essing, in particular, for computing on Graphics Processing Units (GPUs). In this paper an efficient projection on the GPUs for the spectral–spatial classification of hyperspectral images using the Compute Unified Device Architecture (CUDA) for NVIDIA devices is presented. A watershed transform is a
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發(fā)表于 2025-3-24 05:47:24 | 只看該作者
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發(fā)表于 2025-3-24 10:05:43 | 只看該作者
Using Evolved Artificial Neural Networks for Providing an Emergent Segmentation with an Active Net ere used, model which integrates features of region-based and boundary-based segmentation techniques. The model deformation through time is controlled by an Artificial Neural Network (ANN) that learns how to move the nodes of the model based on their energy surrounding. The ANN is applied to each of
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發(fā)表于 2025-3-24 12:02:10 | 只看該作者
Shape from SEM Image Using Fast Marching Method and Intensity Modification by Neural Network,ape, one can apply the algorithm based on the solving the Eikonal equation with Fast Marching Method (FMM). However, when the oblique light source image is observed, the correct shape cannot be obtained by the usual one-pass FMM. The approach proposes a method to modify the original SEM image with i
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發(fā)表于 2025-3-24 16:27:49 | 只看該作者
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發(fā)表于 2025-3-25 01:44:26 | 只看該作者
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