Digital Technologies and Applications
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Digital Technologies and Applications

Proceedings of ICDTA 21, Fez, Morocco
 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783030738822
Veröffentl:
2021
Einband:
eBook
Seiten:
1836
Autor:
Saad Motahhir
Serie:
211, Lecture Notes in Networks and Systems
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This book gathers selected research papers presented at the First International Conference on Digital Technologies and Applications (ICDTA 21), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 29-30 January 2021. highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of things, embedded systems, network technology, information processing, and their applications in several areas such as hybrid vehicles, renewable energy, robotic, and COVID-19. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

This book gathers selected research papers presented at the First International Conference on Digital Technologies and Applications (ICDTA 21), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 29–30 January 2021. highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of things, embedded systems, network technology, information processing, and their applications in several areas such as hybrid vehicles, renewable energy, robotic, and COVID-19. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.


Restoration losses by using the chaotic inertia weight and success rate in particle swarm optimization.- Convolutional Neuronal Networks for Tumor Regions Detection in Histopathology Images.- Early detection of wheat diseases in Morocco by Convolutional Neutral Network.- Genetic Algorithm Design Optimization for Non-standard Spur Gears.- A robust method for face classification based on Binary Genetic Algorithm combined with NSVC classifier

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