Machine learning

The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic.

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data.

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps, Isomap, Semidefinite Embedding, and t-SNE to resolve the problem of dimensionality reduction in the case of non-linear relationships within the data.

This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs).

This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs).

Future predictions are always a topic of interest.

Future predictions are always a topic of interest.

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems.

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems.

Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management.

Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management.

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures.

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures.

The book explores modern sensor technologies while also discussing security issues, which is the dominant factor for many types of Internet of Things (IoT) applications.

The book explores modern sensor technologies while also discussing security issues, which is the dominant factor for many types of Internet of Things (IoT) applications.

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry.

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry.

Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.

Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.

Increasing demand on improving the resiliency of modern structures and infrastructure requires ever more critical and complex designs.

Increasing demand on improving the resiliency of modern structures and infrastructure requires ever more critical and complex designs.

Artificial Intelligence (AI) is undoubtedly playing an increasingly significant role in automobile technology.

Artificial Intelligence (AI) is undoubtedly playing an increasingly significant role in automobile technology.

This book presents two nonlinear control strategies for complex dynamical networks.

This book presents two nonlinear control strategies for complex dynamical networks.

In this book, the stability analysis and estimator design problems are discussed for delayed discrete-time memristive neural networks.

In this book, the stability analysis and estimator design problems are discussed for delayed discrete-time memristive neural networks.

Accurate, fast, and reliable fault classification techniques are an important operational requirement in modern-day power transmission systems.

Accurate, fast, and reliable fault classification techniques are an important operational requirement in modern-day power transmission systems.

Lattice theory extends into virtually every branch of mathematics, ranging from measure theory and convex geometry to probability theory and topology.

Lattice theory extends into virtually every branch of mathematics, ranging from measure theory and convex geometry to probability theory and topology.

Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach.

Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach.

Soft computing techniques are no longer limited to the arena of computer science.

Soft computing techniques are no longer limited to the arena of computer science.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine.

The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation.

The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation.

Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R.

Public Policy Analytics: Code & Context for Data Science in Government teaches readers how to address complex public policy problems with data and analytics using reproducible methods in R.

Recent progress in artificial intelligence (AI) has revolutionized our everyday life.

Recent progress in artificial intelligence (AI) has revolutionized our everyday life.

Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering.

Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering.

Introduction to AI techniques for Renewable Energy SystemArtificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy.

Introduction to AI techniques for Renewable Energy SystemArtificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy.

In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks.

In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks.

This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context.