CRC Press

The cytokines are a group of peptides secreted by cells of the immune system such as macrophages, lymphocytes and T cells. The term cytokine is however simplistic and in fact they can be divided into...

This recent book provides a detailed presentation of damage tolerance assessment and characterization methods for advanced composites, as well as an examination of the role of damage tolerance in the...

This monograph seeks to strengthen the contributions of Polish scientists and engineers to the study of problems of mechanical vibrations and noise. It presents research covering such topics as:...

The increasing number of dams built in the last century has underlined the necessity of these constructions to the all-round development of a country. The advent of rock mechanics, engineering...

Ideal for anyone interested in environmental issues, this dictionary draws together information from a variety of sources to better facilitate understanding of this wide-ranging subject. Detailed...

Whoever has the data has the ability to extract information promptly and effectively to make pertinent decisions. The premise of this handbook is to empower users and tool developers with a...

This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the...

The focus of this book is data analytics for COVID-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and...

With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends, methodologies, and applications. This book investigates the role of...

Focusing on the practical clinical and statistical issues that arise in pharmaceutical industry trials, this book summarizes the author's experience in serving on many data monitoring committees...

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues...

One of the main problems in science and engineering is to provide a quantitative description of the systems under investigation, leveraging collected noisy data. Such a description may be a complete...

Fills the Existing Gap of Mathematics for Data FusionData fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required...

Data Integration, Manipulation and Visualization of Phylogenetic Trees introduces and demonstrates data integration, manipulation and visualization of phylogenetic trees using a suite of R packages,...

This book is for those involved in a research study involving original data collection. Whilst it focuses on quantitative data, collected from human participants, many of the practices covered apply...

This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the...

Healthcare management has rapidly changed over the last few years from disease centered to patient centered. The analysis of healthcare data plays an important role in healthcare management, but the...

Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and...

This book discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains,...

Data Science and Machine Learning Application in Subsurface Engineering apply unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput...

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of...

Mathematicians have skills that would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of...

This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are...

This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along...

This book will focus on RFID (Radio Frequency Identification), IoT (Internet of Things), and WSN (Wireless Sensor Network). It will include contributions that discuss the security and privacy issues...

The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for...

The data structure is a set of specially organized data elements and functions are defined to store, retrieve, remove and search for individual data elements. This book covers all issues related to...

This book gives a holistic overview of creating appropriate charts by describing a sequence of visualizations. The book presents step by step implementation in Tableau to convey information through...

This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach. It examines the methodologies for data-centric...

Since the beginning of the 21st century, there has been an explosion in startup organizations. Together, these organizations have been valued at over $3 trillion. In 2019, alone, nearly $300 billion...