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Deep Learning and Missing Data in Engineering Systems

Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation;

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Deep Learning for Data Analytics

of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications;

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics

industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear;

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Future Data and Security Engineering

Studies in Machine Learning, Advances in Query Processing and Optimization, Big Data Analytics and Distributed Systems, Deep Learning and;

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Deep Learning and Parallel Computing Environment for Bioengineering Systems

Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement;

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Handbook of Deep Learning in Biomedical Engineering

-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and;

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Proceedings of International Conference on Data Science and Applications

, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image;

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Recent Advances in Artificial Intelligence and Data Engineering

This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various;

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Web Information Systems Engineering - WISE 2019

topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity;

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Applications of Artificial Intelligence in Process Systems Engineering

resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems;

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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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Deep Learning Techniques for Biomedical and Health Informatics

Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to;

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Handbook of Deep Learning in Biomedical Engineering and Health Informatics: Biomedical Engineering

Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used;

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Computational Reconstruction of Missing Data in Biological Research

data. In this book, we introduce different types of biological data missing scenarios and propose machine learning models to improve the data;

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14th International Conference on Theory and Application of Fuzzy Systems and Sof

include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning-machine learning, fuzzy logic in data;

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Deep Learning for Internet of Things Infrastructure

investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things;

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Deep Learning with Structured Data

most businesses and organisations. Deep learning offers the potential to identify complex patterns and relationships hidden in data;

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Machine Learning and Systems Engineering

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October;

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural;

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Knowledge Science, Engineering and Management

Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge;

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Knowledge Science, Engineering and Management

Processing and Data Mining; Image and Video Data Analysis; Deep Learning; Knowledge Graph and Knowledge Management; Machine Learning; and Knowledge;

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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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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical;

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Intelligent Data Engineering and Automated Learning - IDEAL 2016

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning;

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Intelligent Information and Database Systems

Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The;

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Intelligent Information and Database Systems

Learning and Data Mining, Deep Learning Models, Advanced Data Mining Techniques and Applications, Multiple Model Approach to Machine Learning. The;

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