Advances in Machine Intelligence and Computer Science Applications
Proceedings of the International Conference ICMICSA'2022
(Sprache: Englisch)
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...
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Klappentext zu „Advances in Machine Intelligence and Computer Science Applications “
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.Inhaltsverzeichnis zu „Advances in Machine Intelligence and Computer Science Applications “
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 IoT ecosystem-based architecture of a Smart Livestock Farm.- Analyzing Instagram images to predict personality traits.- Heuristic algorithm for extracting frequent patterns in transactional databases.
Bibliographische Angaben
- 2023, 1st ed. 2023, IX, 374 Seiten, 103 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Noureddine Aboutabit, Mohamed Lazaar, Imad Hafidi
- Verlag: Springer, Berlin
- ISBN-10: 3031288459
- ISBN-13: 9783031288456
Sprache:
Englisch
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