Noureddine Aboutabit & Mohamed Lazaar 
Advances in Machine Intelligence and Computer Science Applications [PDF ebook] 
Proceedings of the International Conference ICMICSA’2022

Wsparcie

This book encloses latest and advanced researches on artificial intelligence and its applications in computer science. It is an interesting book that aims to help students, researchers, industrialists, and policymakers understand, promote, and synthesize innovative solutions and think of new ideas with the application of artificial intelligence concepts. It also allows to know the existing scientific works and contributions in the literature. This book identifies original research in new directions and advances focused on multidisciplinary areas and closely related to the use of artificial intelligence in applications of computer science, communication, and technology. The present book contains selected and extended high-quality papers of the 1st international conference on Machine Intelligence and Computer Science Applications (ICMICSA’2022). It is the result of a reviewed, evaluated, and presented work in ICMICSA’2022 held on November 28–29, 2022, in Khouribga, Morocco.

€213.99
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Spis treści

A new adaptation mechanism of the ALNS algorithm using reinforcement learning.- A solution based on Faster R-CNN for augmented reality markers’ detection: Drawing courses case study.- Unsupervising denoising model based generative adversarial networks.- Meta-heuristic algorithms for text feature selection problems.- A Deep learning approach for Hand Gestures Recognition.- An Io T ecosystem-based architecture of a Smart Livestock Farm.- Analyzing Instagram images to predict personality traits.- Heuristic algorithm for extracting frequent patterns in transactional databases.

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Język Angielski ● Format PDF ● Strony 374 ● ISBN 9783031293139 ● Rozmiar pliku 32.3 MB ● Redaktor Noureddine Aboutabit & Mohamed Lazaar ● Wydawca Springer Nature Switzerland ● Miasto Cham ● Kraj CH ● Opublikowany 2023 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 8900903 ● Ochrona przed kopiowaniem Społeczny DRM

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