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Deep Learning for Personalized Healthcare Services

learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding;

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Introduction to Deep Learning for Healthcare

This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that;

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Deep Learning and IoT in Healthcare Systems

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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Deep Learning in Biomedical and Health Informatics

Covers how deep learning will help in the diagnosis and the prediction of disease spread Presents a comprehensive review of research applying;

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Deep Learning Applications Volume 2

This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It;

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Deep Learning in Healthcare

This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and;

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Deep Learning in Healthcare

This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and;

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Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;

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Hands-On Deep Learning for IoT

Implement popular deep learning techniques to make your IoT applications smarter Key Features Understand how deep learning;

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Artificial Intelligence for the Internet of Health Things

applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization;

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Deep Reinforcement Learning with Python

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics;

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Emerging Technologies for Healthcare - Internet of Things and Deep Learning Models

solutions with advanced deep learning techniques. The book provides feasible solutions through various machine learning approaches and applies;

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Machine Learning and Deep Learning in Real-Time Applications

have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;

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Machine Learning for Healthcare Analytics Projects

Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learn Key Features Develop a range of healthcare;

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Deep Learning Techniques for Biomedical and Health Informatics

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim;

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Deep Learning Techniques for Biomedical and Health Informatics

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim;

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Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for;

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Deep Learning Models for Medical Imaging

Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or;

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Digital Innovations in Healthcare Education and Training

education, learning and the web and its integration and role within modern healthcare education and training. The book encompasses topics such as;

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Deep Biometrics

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it Deep Biometrics . The;

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Deep Biometrics

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it Deep Biometrics . The;

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Smart Healthcare Systems

related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing;

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Deep Learning and Edge Computing Solutions for High Performance Computing

solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and;

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are;

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Internet of Things (IoT) Technologies for HealthCare

-Health, emerging e-Health IoT applications, signal processing and analysis , the smartphones as a healthy thing, machine learning and deep;

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Deep Learning for Human Activity Recognition

This book constitutes refereed proceedings of the Second International Workshop on Deep Learning for Human Activity Recognition, DL-HAR;

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