Graphene mesosponge synthesis, characterization, and energy applications from lab to commercializationThree-dimensional graphene-based materials offer high porosity, large specific surface area, and unique electrochemical performance for energy conversion, storage, and environmental applications. Three-Dimensional Graphene: Graphene Mesosponge Synthesis, Characterization, and Applications, written by a team of materials scientists at Tohoku University, pro...

Get savvy with R language and actualize projects aimed at analysis, visualization and machine learningAbout This BookProficiently analyze data and apply machine learning techniquesGenerate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in RConstruct a predictive model by using a variety of machine learning packagesWho This Book Is ForTh...

If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless of your level of experience, this book covers the basics of applying R to machine learning through to advanced techniques. While it is helpful if you are familiar with basic programming or machine learning concepts, you do not require prior experience to benefit from this book.

This volume presents selected papers from the 9th International Conference on Innovative Computing (IC 2026), held in Penang, Malaysia, January 18–22, 2026. It showcases cutting-edge research in information technology, science, and engineering.The book covers a wide range of topics, including cloud communications and networking, high-performance computing, secure and interactive IoT architectures, satellite communications, wearable networks and systems, and infrastructure management...

Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniquesKey Features\[\] Gain insight into how data scientists collect, process, analyze, and visualize data using some of the most popular R packages\[\] Understand how to apply useful data analysis techniques in R for real-world applications\[\] An easy-to-follow guide to make the life of data scientist easier with the problems face...

Network-Constrained Data-Driven Control of High-Speed Rail Systems: Adaptive and Learning-Based Approaches addresses critical challenges in high-speed railway (HSR) operational control systems, focusing on enhancing safety, efficiency, and automation in an era of rapid network expansion. The book introduces a transformative framework for data-driven adaptive control and multi-train cooperative control under dynamic network constraints. It integrates next-generation 5G-R communication to en...

Edge Intelligence in Cyber-Physical Systems: Foundations and Applications provides a comprehensive overview of best practices for building edge intelligence into cyber-physical systems. This book covers the foundations and applications of synergizing machine learning at the edge of CPS, leveraging an edge computing infrastructure. Divided into four parts, the first section of the book reviews the foundations, principles, and representative application domains of CPS. The second part covers...

Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R codeKey Features\[\*\]Apply R to simplify predictive modeling with short and simple code\[\*\]Use machine learning to solve problems ranging from small to big data\[\*\]Build a training and testing dataset, applying different classification methods.Book DescriptionBig data has become a popular buzzword across many industries. An...

Reaching deep into the wealth of Chinese philosophical wisdom, this book offers rich insights into a way of educating that has found staunch advocates among educators through the ages. The ‘free-spirit education’, which calls on educators to respect and nurture the natural goodness of each child, affords an educational principle that is embedded in one of the most important Confucian classics: The Doctrine of the Mean. This book analyzes the meaning, history, principles, and educational ap...

Research into minimum income standards and reference budgets around the world is compared in this illuminating collection from leading academics in the field.From countries with long established research traditions to places where it is relatively new, contributors set out the different aims and objectives of investigations into the minimum needs and requirements of populations, and the historical contexts, theoretical frameworks and methodological issues that lie behind each appro...

While the loss of sight—whether in early modern Japan or now—may be understood as a disability, blind people in the Tokugawa period (1600–1868) could thrive because of disability. The blind of the era were prominent across a wide range of professions, and through a strong guild structure were able to exert contractual monopolies over certain trades. Blind in Early Modern Japan illustrates the breadth and depth of those occupations, the power and respect that accrued to the guild m...

As unconventional reservoir activity grows in demand, reservoir engineers relying on history matching are challenged with this time-consuming task in order to characterize hydraulic fracture and reservoir properties, which are expensive and difficult to obtain. Assisted History Matching for Unconventional Reservoirs delivers a critical tool for today's engineers proposing an Assisted History Matching (AHM) workflow. The AHM workflow has benefits of quantifying uncertainty without bias or b...