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In the present study, a different observer's approach is proposed using eigen/fisher features of multi-scaled face components and artificial neural networks. The basic idea of the proposed method is to construct facial feature vector by down-sampling face components such as eyes, nose, mouth and...
Kayci, "Application of Artificial Neural Network for Automatic Detection of Butterfly Species Using Color and Texture Features," Visual Comput., vol 60, no. 1, pp. 57-64, Feb. 2014.Y. Kaya and L. Kayci, "Application of artificial neural network for automatic detection of butterfly species...
Importance estimate of features via analysis of their weight and gradient profile Article Open access 09 October 2024 Ranking Feature-Block Importance in Artificial Multiblock Neural Networks Chapter © 2022 Second Order Training and Sizing for the Multilayer Perceptron Article 08 October 2019 Re...
New physics-based self-learning machines could replace current artificial neural networks and save energy Artificial intelligence not only affords impressive performance, but also creates significant demand for energy. The more demanding the tasks for which it is trained, the more energy it consumes. ...
In the field of tribology, many studies now use machine learning (ML). However, ML models have not yet been used to evaluate the relationship between the friction coefficient and the elemental distribution of a tribofilm formed from multiple lubricant ad
3-D ADI-FDTD modeling of GPR backscatter from complex targets for the training of artificial neural networks Artificial neural networks can provide approximate solutions to ground-penetrating radar (GPR) problems in cases where real time performance is needed. Exa... DS Sassen,ME Everett - AGUFM...
Framework tracks 'learning curve' of AI to decode complex genomic data Researchers have introduced Annotatability—a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain ... ...
(e.g., artificial neural networks (ANNs) and convolutional neural networks (CNNs)). Rule-based methods often have a narrow application range, limited to specific features of specific parts, and most of them cannot handle complex machining features such as intersecting features. In contrast, ...
Lightweight neural network enables realistic rendering of woven fabrics in real-time Recent advances in the field of artificial intelligence (AI) and computing have enabled the development of new tools for creating highly realistic media, virtual reality (VR) environments and video games. Many of th...