Machine Learning For Medical Imaging – alle Bücher und CDs, Seite 2 online kaufen

Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML). Applied Machine Learning for Data Science Practitioners offers a prac…

lieferbar ab 28.5.2025.

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A Guide to Applied Machine Learning for Biologists

This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and empha…

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Explainable Machine Learning for Multimedia Based Healthcare Applications

This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for appli…

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Yong Zhou, Yinan Zou, Youlong Wu, Yuanming Shi
Machine Learning for Low-Latency Communications

Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission l…

lieferbar in mind. 4 Wochen

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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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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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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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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 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…

lieferbar in mind. 4 Wochen

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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…

lieferbar innerhalb 1-2 Wochen

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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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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…

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