Machine Learning For Quality Inspection – alle Bücher und CDs, Seite 2 online kaufen

Denisse L. Argote, Pedro A. López-García, Manuel A. Torres-García
Machine Learning for Archaeological Applications in R

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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Denisse L. Argote, Pedro A. López-García, Manuel A. Torres-García
Machine Learning for Archaeological Applications in R

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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Kiran
Machine Learning for Metallic Corrosion Modeling: A Computational Exploration

Metal corrosion, from rusty cars to crumbling bridges, costs billions. Enter machine learning! This powerful tool analyzes vast amounts of data to predict and prevent corrosion. By simulating how metals i…

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Machine Learning for Cyber Physical System: Advances and Challenges

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart…

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Machine Learning for Powder-Based Metal Additive Manufacturing

Machine Learning for Powder-based Metal Additive Manufacturing outlines machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing pr…

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Michael Lutter
Inductive Biases in Machine Learning for Robotics and Control

One important robotics problem is How can one program a robot to perform a task ? Classical robotics solves this problem by manually engineering modules for state estimation, planning, and control. In co…

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Modern Approaches in IoT and Machine Learning for Cyber Security

This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. T…

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Artificial Intelligence and Machine Learning for Women's Health Issues

Artificial Intelligence and Machine Learning for Women's Health Issues discusses the applications, challenges, and solutions that machine learning can bring to women's health challenges. The book illustra…

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Harnessing Automation and Machine Learning for Resource Recovery and Value Creation

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be u…

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Sanam
Machine Learning for Missing Maps: A Collaboration to Improve Disaster Relief

Disaster strikes, but where's the map? Traditional maps often lack details in vulnerable areas. Here's where machine learning (ML) and a collaborative project called Missing Maps team up to improve disast…

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Advanced Machine Learning for Cyber-Attack Detection in Iot Networks

Advanced Machine Learning for Cyber-Attack Detection in IoT Networks analyzes diverse machine learning techniques, including supervised, unsupervised, reinforcement, and deep learning, along with their ap…

lieferbar ab 1.6.2025.

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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on…

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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on…

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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing

This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on…

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Julia Hartung
Machine Learning for Camera-Based Monitoring of Laser Welding Processes

The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, an…

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Samuel Ackerman, Guy Barash, Onn Shehory, Orna Raz
Theory and Practice of Quality Assurance for Machine Learning Systems

This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that includ…

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Internet of Things and Machine Learning for Type I and Type II Diabetes

Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Typ…

lieferbar in mind. 4 Wochen

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Smith
Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids

The increasing demand for energy coupled with the environmental concerns associated with fossil fuels necessitates a shift towards renewable energy sources. Solar, wind, geothermal, and hydro power offer …

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Archon

Roberto Alonso (Violine), Christian Smith (Schlagzeug)

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Maurizio Perticarini
Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage

This book addresses the role of modern surveying and representation technologies in preserving and disseminating cultural heritage. A workflow is illustrated, describing the Former Monastery of Ss Severin…

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