Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications - Couverture souple

Couverture souple

ISBN 10 : 9819753678 ISBN 13 : 9789819753673

Editeur : Springer Verlag, Singapore, 2025

Synopsis

This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.

Détails de l'édition

• Éditeur: Springer Verlag, Singapore
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 9819753678
• ISBN 13: 9789819753673
• Reliure: Broché
• Nombre de pages: 182
• Éditeur: Devi V. Ajantha
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne