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Artificial Intelligence and Machine Learning for Digital Pathology: State-Of-The-Art and Future Challenges

Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising;

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Artificial Intelligence and Deep Learning in Pathology

and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, with a team of experts, Dr. Stanley Cohen covers the;

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Computational Sciences and Artificial Intelligence in Industry

from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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Artificial Intelligence and Blockchain for Future Cybersecurity Applications

This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted;

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Machine Learning for Health Informatics

learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress;

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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities

theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial;

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State of the Art in Neural Networks and Their Applications

State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their;

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Artificial Intelligence and Machine Learning , An Issue of Neuroimaging Clinics of North America

This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza;

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Oracle Business Intelligence with Machine Learning

-to, why-to, and how-to approach to explain the key steps involved in utilizing the artificial intelligence components now available for a;

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Applications of Artificial Intelligence Techniques in the Petroleum Industry

the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

COMMUNICATION NETWORKS AND SERVICE MANAGEMENT IN THE ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Discover the impact that new;

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Empowering Artificial Intelligence Through Machine Learning

. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine;

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Applications of Artificial Intelligence for Smart Technology

practitioners on the specific impact that these smart technologies have and what challenges remain. Applications of Artificial Intelligence for Smart;

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Artificial intelligence and its Applications

such as Artificial Intelligence, Machine Learning and Deep Learning. In recent years, advances in these areas have influenced considerably the;

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Intelligent Learning Systems

Intelligent (machine) learning is a subfield of artificial intelligence and it originates from the researches in the pattern recognition;

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Distributed Machine Learning and Gradient Optimization

big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning;

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Enabling Healthcare 4.0 for Pandemics - A Roadmap using AI, Machine Learning, IoT and Cognitive Technologies

ENABLING HEALTHCARE 4.0 for PANDEMICS The book explores the role and scope of AI, machine learning and other current technologies to handle;

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Growing Adaptive Machines

The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and;

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Deep Learning

of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term;

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Machine Learning in Cardiovascular Medicine

machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and;

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Learning for the Age of Artificial Intelligence

Learning for the Age of Artificial Intelligence is a richly informed argument for curricular change to educate people towards achievement;

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Learning for the Age of Artificial Intelligence

Learning for the Age of Artificial Intelligence is a richly informed argument for curricular change to educate people towards achievement;

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Machine Learning for Future Wireless Communications

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single;

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Handbook of Reinforcement Learning and Control

This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory;

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)

This book presents the 2nd International Conference on Artificial Intelligence and Computer Visions (AICV 2021) proceeding, which took;

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