Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decisi...

With the rapid evolution of wireless communication technologies, emerging applications like autonomous driving, telemedicine, and virtual reality are becoming integral to modern life. These advancements have significantly increased computing demands and coverage requirements, posing challenges for traditional systems and resource-constrained devices. Unmanned aerial vehicle-assisted mobile edge computing (UAV-assisted MEC) offers an innovative solution, enabling rapid deployment of communi...

This monograph introduces readers to new theories and methods applying cognitive computing and geometric space transformation to the field of fault diagnosis and prognostics. It summarizes the basic concepts and technical aspects of fault diagnosis and prognostics technology. Existing bottleneck problems are examined, and the advantages of applying cognitive computing and geometric space transformation are explained. In turn, the book highlights fault diagnosis, prognostic, and health asse...

This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type of nano material problems can be better solved by which set of data science methods. The majority of material science research is thus far carried out by domain-specific experts in material engineering, chemistry/chemical engineering, and mechanical & aerospace engineering. The book could benefit materials scientists and manufacturing engineers who wer...

This book provides a state-of-the-art review of the applications of electrospun nanofibers for piezoelectric and triboelectric energy harvesting. It comprises eight chapters and covers the basis of electrospinning, nanofibers, piezoelectricity, triboelectricity and the emerging research on the use of nanofibers in energy harvesting devices. It is a key reference for graduate students, researchers and scientists in the fields of energy harvesting, sensors or nanofibers, and it will benefit ...

This volume explores the latest developments in the field and showcases the vast potential of human induced pluripotent stem cells (hiPSCs) in advancing neuroscience research. The chapters in this book are organized into three parts. Part One describes the generation, characterization, and validation of hiPSCs using different methodologies from various resources. Part Two focuses on techniques for genome editing of hiPSCs. Part Three covers various hiPSC applications in neuroscience resear...

This book offers a comprehensive review of the latest advances in developing functional electrospun nanofibers for energy and environmental applications, which include fuel cells, lithium-ion batteries, solar cells, supercapacitors, energy storage materials, sensors, filtration materials, protective clothing, catalysis, structurally-colored fibers, oil spill cleanup, self-cleaning materials, adsorbents, and electromagnetic shielding.This book is aimed at both newcomers and experien...