Machine Learning For Wearable Devices – alle Bücher, Seite 2

Machine Learning for Drone-Enabled IoT Networks

Advances in Science, Technology & Innovation

This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aer…

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Hongyang Gu, Yao Ding, Xiaogang Yang, Ruitao Lu
Automated Machine Learning for Person Re-Identification

Intelligent Perception and Information Processing

This book delves into the cutting-edge field of person re-identification (ReID), a critical area within deep learning and computer vision. Addressing key challenges in current ReID models, it presents nov…

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Internet of Things enabled Machine Learning for Biomedical Applications

The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes…

lieferbar in mind. 4 Wochen

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Simon Liu
AI and Machine Learning for E-Commerce Risk Management

Transactions on Computer Systems and Networks

This book presents a practical, end-to-end approach to risk management in modern e-commerce platforms using machine learning. It covers buyer abuse, seller governance, collusion networks, and payment and …

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Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection

Currently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few deca…

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Machine Learning for Radio Resource Management and Optimization in 5G and Beyond

Machine Learning for Radio Resource Management and Optimization in 5G and Beyondhighlights a new line of research that uses innovative technologies and methods based on artificial intelligence/machine lea…

lieferbar in mind. 4 Wochen

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Kenichiro Ishii, Naonori Ueda, Eisaku Maeda, Hiroshi Murase
Pattern Recognition and Machine Learning for Self-Study I

Springer Asia Pacific Mathematics Series - Band 1

This book explains the basic principles of pattern recognition (PR) and machine learning (ML) in an easy-to-understand manner for beginners who are trying to learn these principles on their own. Readers w…

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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization too…

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Christian Morten Schierholz
Methods of Machine Learning for Analysis and Decoupling of Power Delivery Networks on Printed Circuit Boards

Berichte aus der Elektrotechnik

Increasing challenges in the design process of power delivery networks on printed circuit boards require new and adapted tools. Therefore, in this thesis artificial neural networks are investigated to enh…

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Fadele Ayotunde Alaba, Alvaro Rocha
Malware Detection on Smart Wearables Using Machine Learning Algorithms

Studies in Systems, Decision and Control - Band 549

This book digs into the important confluence of cybersecurity and big data, providing insights into the ever-changing environment of cyber threats and solutions to protect these enormous databases. In the…

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Wearable Smart Sensing Devices for Sustainable Healthcare

Wearable Smart Sensing Devices for Sustainable Healthcare: Techniques, Fabrication, Data Collection and Analysispresents a complete overview of the techniques for developing integrated wearable sensors, t…

lieferbar ab 1.10.2026.

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Federica Barontini
Wearable Haptic Devices for Realistic Scenario Applications

Springer Series on Touch and Haptic Systems

This book delves into the application of wearable haptic feedback technology in various contexts, focusing on prosthetics for individuals with upper limb loss and navigation systems for the visually impai…

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Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

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Durai Rajamanickam
Causal Inference for Machine Learning Engineers

.- Introduction to Causal Thinking. .- Treatments, Outcomes, and Confounding: Core Concepts. .- Causal Estimation Basics. .- Causal Graphs: Structure and Assumptions. .- Interventions and Counterfactuals.…

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Anand Rangarajan, Jaemoon Lee, Liangji Zhu, Qian Gong
Machine Learning Methods for Scientific Data Compression

This groundbreaking book, Machine Learning Methods for Scientific Data Compression , delivers an essential exploration into the rapidly evolving field of data reduction for scientific applications. As sci…

lieferbar ab 27.11.2026.

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Charu C. Aggarwal
Linear Algebra and Optimization for Machine Learning

This textbook is the second edition of the linear algebra and optimization book that was published in 2020. The exposition in this edition is greatly simplified as compared to the first edition. The secon…

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Machine Learning and AI Technology for Agricultural Applications

Machine Learning and AI Technology in Agricultural Applications offers a comprehensive overview of how artificial intelligence and machine learning are transforming the agricultural industry. By delving i…

lieferbar ab 1.11.2026.

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Benjamin Hao
Build a Machine Learning Platform (From Scratch)

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.Deliveri…

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Alma Yunuen Raya-Tapia, Francisco Javier López-Flores, César Ramírez-Márquez, José María Ponce-Ortega
Machine Learning and Clustering for a Sustainable Future

This book explores cutting-edge machine learning and clustering techniques to tackle critical challenges in engineering, environmental science, and sustainability. The book provides an in-depth examinatio…

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