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Springer Positioning and Navigation Machine Learning Methods - AI Book

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Description

Positioning and Navigation Using Machine Learning Methods is a comprehensive guide published by Springer as part of the Navigation: Science and Technology series (volume 14). This book explores advanced machine learning techniques applied to positioning and navigation systems, providing readers with in-depth knowledge of cutting-edge computational methods in this specialised field. Ideal for researchers, engineers and academics working in navigation technology, computer science and artificial intelligence, this volume combines theoretical foundations with practical applications. The book covers essential concepts and methodologies that bridge machine learning innovation with real-world navigation challenges, making it an invaluable resource for professionals seeking to understand how modern AI techniques can improve accuracy, efficiency and reliability in positioning systems across various industries and applications.

Key Features

Positioning and Navigation Using Machine Learning Methods covers advanced computational techniques for modern navigation applications.

Published by Springer as volume 14 in the Navigation: Science and Technology series, ensuring authoritative academic content.

Comprehensive coverage of machine learning methods applied specifically to positioning and navigation system design.

Ideal reference for researchers, engineers and academics in artificial intelligence, computer science and navigation technology fields.

Combines theoretical foundations with practical applications relevant to contemporary navigation challenges and solutions.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 September 2025
Listed Since
23 September 2025

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