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Artificial Intelligence for
Radiographers

Artificial Intelligence for Radiographers

Basic Principles, Clinical Applications and Implementation Considerations

Written by a data scientist with decades of practical experience on some of the most challenging datasets, this book caters to both novices and professionals working in the fields of data science and machine learning. It enables novices to enter these fields with confidence and ease. There are no formal prerequisites. An introduction to Python is included. The book then proceeds to cover some of the language's most advanced features. The mathematical foundations that follow are meticulously explained. The discussion then proceeds to a practical consideration of data science and machine learning. The material is delivered through case studies developed on real datasets. The reader is invited to follow these case studies, and so develop experience in working with real data. Numerous solved exercises make this work suitable for self-study. The contents of this book have been taught by the author to students of different age groups and levels of experience at Imperial College London and at the Thalesians Intensive Summer School in Artificial Intelligence over the years.

Introduction To Python For Quantitative Finance, An: From Scratch To Productivity

Resistance in the Age of Artificial Intelligence

Algorithmic Capital

Medical Robots and Devices: New Developments and Advances

From Technology to Clinical Practice

Robotics for Intervention in Healthcare

Eeg Signal Classification Using Machine Learning

A story of unexpected love at the end of the world

Some Body Like Me

Neurodegenerative disorders encompass a wide range of conditions resulting from progressive damage to cells and nervous system connections, most common are Alzheimer's disease and Parkinson's disease. Millions are diagnosed each year using various forms of neuroimaging techniques, however, with new innovations there are new forms of assessments. Behavioral Biometrics and Artificial Intelligence for Neurodegenerative Diseases Assessment reviews new innovated non-invasive behavioral biometrics and artificial intelligence techniques for early neurodegenerative disease assessment. Unlike standard biometrics, behavioral biometrics is interested in non-directly measurable physical properties. It seeks patterns that are recognized only when the subject performs a particular behavior. This book reviews several AI techniques including machine learning and deep neural networks for computer vision to help observe gait, handwriting, and speech. Chapters on wearable sensors, smartphones and tablet use for neurodegenerative disease assessments are also included.

Behavioral Biometrics and Artificial Intelligence for Neurodegenerative Diseases Assessment

Human Machine Integration in Industry 5.0

Digital Twin and Digital Triplet Technologies

Deep Learning in Computer Vision

Shaping the Future of Cities

AI-Driven Urban Planning

Malware detection is exceedingly challenging, requiring deeper expertise in two domains: machine learning (ML) and malware analysis.This comprehensive collection guides ML practitioners and researchers into the state-of-the-art and underlying insights needed to work in and research problems at the intersection of machine learning and cyber security, particularly around the problem of malware targeting the Windows platform.This useful volume's contributions come from a range of experts, representing large companies, major universities, and government labs, all working at the frontiers of malware detection and remediation research.

Machine Learning For Malware Detection

AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity

More Everything Forever

Strukturen - grundlegende Eigenschaften

Werkstoffkunde

Artificial Intelligence for Radiographers

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