Cover of Hybrid Imaging and Visualization

Hybrid Imaging and Visualization

Employing Machine Learning with Mathematica - Python
Joseph Awange, Béla Paláncz, Lajos Völgyesi
Publisher: Springer Nature
Published: 2025
ISBN-13: 9783031728174
ISBN-10: 3031728173
Pages: 450
Subjects: Science / Earth Sciences / Geography, Computers / Artificial Intelligence / Computer Vision & Pattern Recognition, Computers / Image Processing, Science / Physics / Geophysics, Science / Physics / Astrophysics, Science / Space Science / General, Computers / Software Development & Engineering / General, Science / Earth Sciences / Geology
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About Hybrid Imaging and Visualization

This second edition of the book that targets those in computer algebra and artificial intelligence introduces Black Hole algorithm that is essential for optimizing hyperparameters, an important task in machine learning where mostly, stochastic global methods are used as well as ChatGPT, a novel and in the last few years, very popular Generative AI technology. In addition, fisher discriminant, a linear discriminant that can provide an optimal separation of objects, and the conversion of time series into images thereby making it possible to employ convolution neural network to classify time series effectively are presented.

Study resources for Hybrid Imaging and Visualization

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