Digital Technologies and Applications -

Digital Technologies and Applications

Proceedings of ICDTA'23, Fez, Morocco, Volume 1

Saad Motahhir, Badre Bossoufi (Herausgeber)

Buch | Softcover
XXVI, 1021 Seiten
2023 | 1st ed. 2023
Springer International Publishing (Verlag)
978-3-031-29856-1 (ISBN)
299,59 inkl. MwSt
This book presents volume 1 of selected research papers presented at the third International Conference on Digital Technologies and Applications (ICDTA 23). This book highlights the latest innovations in digital technologies as: artificial intelligence, Internet of things, embedded systems, network technology, digital transformation and their applications in several areas as Industry 4.0, renewable energy, mechatronics, digital healthcare. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

Elman and Feed-Forward Neural Networks with Different Training Algorithms for Solar Radiation Forecasting: A Comparison with a Case Study.- An Artificial Neural Network Model based on Non-linear Autoregressive Exogenous for Predicting the Humidity of a Greenhouse System.- Towards an Adaptive Learning Process Using Artificial Intelligence Technologies.- Emotion recognition of facial expressions with Deep Learning and Transfer Learning.- A novel approach to intelligent touristic visits using Bing Maps and genetic algorithms.- Evaluating the efficiency of Multilayer Perceptron neural network architecture in classifying cognitive impairments related to human bipedal spatial navigation.- A Novel Real Time Electric Vehicles Smart Charging Approach Based on Artificial Intelligence.- Proposed hybrid model Recurrent Neural Network for Human activity recognition.- Evaluation of CMIP5 and CMIP6 performance in simulating West African precipitation.- Knowledge management, Tools and activities.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Networks and Systems
Zusatzinfo XXVI, 1021 p. 558 illus., 466 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1579 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik
Schlagworte Artificial Intelligence • Big Data • Blockchain • Embedded Systems ICDTA 2023 • ICDTA • internet of things • machine learning
ISBN-10 3-031-29856-X / 303129856X
ISBN-13 978-3-031-29856-1 / 9783031298561
Zustand Neuware
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