Enabling AI Applications in Data Science
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- Artikel-Nr.: 10422577
Beschreibung
Part I: Artificial Intelligence and Optimization.- Stochastic Proximal Gradient Algorithm with Minibatches Application to Large Scale Learning Models.- The Human Mental Search Algorithm for Solving Optimisation Problems.- Reducing Redundant Association Rules Using Type-2 Fuzzy Logic.- Identifiability of Discrete Concentration Graphical Models with a Latent Variable.- An Automatic Classification of Genetic Mutations by Exploring Different Classifiers.- Towards Artificial Intelligence: Concepts, Applications, and Innovations.- Part II: Big Data and Artificial Intelligence Applications.- In Depth Analysis, Applications and Future Issues of Artificial Neural Network.- Big Data and Deep Learning in Plant Leaf Diseases Classification for Agriculture.- Machine Learning Cancer Diagnosis Based on Medical Image Size and Modalities.
Eigenschaften
Breite: | 161 |
Gewicht: | 1149 g |
Höhe: | 44 |
Länge: | 242 |
Seiten: | 650 |
Sprachen: | Englisch |
Autor: | Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa |
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