Digital Technologies and Applications
Springer International Publishing (Verlag)
978-3-031-68659-7 (ISBN)
This book presents volume 3 of selected research papers presented at the fourth International Conference on Digital Technologies and Applications (ICDTA'24). Highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of Things, embedded systems, chatbot, network technology, digital transformation and their applications in several areas as Industry 4.0, sustainability, energy transition, and healthcare, the book encourages and inspires researchers, industry professionals, and policymakers to put these methods into practice.
Predicting loquat quality using visible, near infrared spectroscopy and artificial neural network.- Contribution of Artificial Intelligence in Entrepreneurship Systematic Literature Review.- American Sign Language Recognition with Convolutional Neural Networks A Gateway to Enhanced Inclusivity.- Emerging Research of Artificial Intelligence in Education A Literature Survey.- Are Preservice Teachers Totally PACKaged A Quantitative Study of Pre Service Teachers Knowledge and Skills to Ethically Integrate Artificial Intelligence AI based Tools into Education.- How GPUs Kill Threads in Neural Network Training.- Intelligent Approaches for Optimal Irrigation Management A Comprehensive Review.- Exploring Moroccan medical students perception of Artificial Intelligence.- Big data and management control in tourist destinations.- Selective Filter System based on Multi Defectives Resonators inserted in 1D Acoustic Periodic Star Waveguides.
| Erscheinungsdatum | 29.08.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Networks and Systems |
| Zusatzinfo | XVI, 589 p. 254 illus., 203 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Artificial Intelligence • Big Data • Blockchain • Embedded Systems ICDTA 2024 • ICDTA • internet of things • machine learning |
| ISBN-10 | 3-031-68659-4 / 3031686594 |
| ISBN-13 | 978-3-031-68659-7 / 9783031686597 |
| Zustand | Neuware |
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