Praveen Kumar – författare

A concise, clinically-focused guide to the evaluation and management of infants with congenital malformations

Congenital Malformations is a comprehensive, practical text that highlights key perspectives on the medical management of infants with malformations. With its convenient system-based organization and evidence-based approach, this clinically-focused guide is designed to optimize the utilization of limited diagnostic resources. Easy-to-follow algorithms and tables enable you to rapidly identify and manage the many different malformations that commonly present in clinical practice, such as cleft lip, cardiac septal defects, and skeletal dysplasias.

Features:

Handbook on New Paradigms in Smart Charging for E-Mobility: Global Trends, Policies and Practices provides a complete package for understanding and developing smart chargers for e-mobility applications. It discusses various concepts required for developing charging infrastructure and usage of different kinds of storage technologies, power electronics converters, controllers, communication requirements, grid infrastructure, sustainable technologies, policy frameworks, and all other related crucial aspects of E-mobility.Each part of the book covers a subdomain of e-mobility, beginning with an introductory chapter reviewing existing literature; the subsequent chapters are arranged to each follow the previous one. Other available books focus on specific technical subdomains of e-mobility, but none provides the wider outlook to meet the requirements of all audiences. This book uniquely brings together topics that are not otherwise easily accessible or available to these audiences.

This book will be beneficial for engineers, scientists, and researchers, providing them with a comprehensive standard benchmark work to explore the evolving aspects of charging infrastructure for e-mobility. Further, it will also help policymakers, practitioners and government entities formulate policies for successful implementations of e-motility for their masses. The techno-socio-economic focus will serve as standard literature for all.

This book emphasizes the applications of advances in data processing methods for Artificial Intelligence in today''s fast-changing world, as well as to serve society through research, innovation, and development in this field. This book is applicable to a wide range of data that contribute to data science concerns and can be used to promote research in this high-potential new field. People''s perceptions of the world and how they conduct their lives have changed dramatically as a result of technological advancements. The world has been gripped by technology, and the advances that are being made every day are undeniably transforming the planet. In the domains of Big Data, engineering, and data science, this cutting-edge technology is ready to support us.

Artificial intelligence (AI) is a current research topic because it can be applied to a wide range of applications and disciplines to solve complicated problems and find optimal solutions. In research, medicine, technology, and the social sciences, the benefits of AI have already been proven. Data science, also known as pattern analytics and mining, is a technique for extracting useful and relevant information from databases, enabling better decision-making and strategy formulation in a range of fields. As a result of the exponential growth of data in recent years, the combined notions of big data and AI have given rise to many study areas, such as scale-up behaviour from classical algorithms. Furthermore, combining numerous AI technologies from other areas (such as vision, security, control, and biology) in order to build efficient and durable systems that interact in the real world is a new problem. Despite recent improvements in fundamental AI technologies, the integration of these skills into larger, trustworthy, transparent, and maintainable systems is still in its development. Both conceptually and practically, there are a number of unanswered issues.

This book emphasizes the applications of advances in data processing methods for Artificial Intelligence in today''s fast-changing world, as well as to serve society through research, innovation, and development in this field. This book is applicable to a wide range of data that contribute to data science concerns and can be used to promote research in this high-potential new field. People''s perceptions of the world and how they conduct their lives have changed dramatically as a result of technological advancements. The world has been gripped by technology, and the advances that are being made every day are undeniably transforming the planet. In the domains of Big Data, engineering, and data science, this cutting-edge technology is ready to support us.

Artificial intelligence (AI) is a current research topic because it can be applied to a wide range of applications and disciplines to solve complicated problems and find optimal solutions. In research, medicine, technology, and the social sciences, the benefits of AI have already been proven. Data science, also known as pattern analytics and mining, is a technique for extracting useful and relevant information from databases, enabling better decision-making and strategy formulation in a range of fields. As a result of the exponential growth of data in recent years, the combined notions of big data and AI have given rise to many study areas, such as scale-up behaviour from classical algorithms. Furthermore, combining numerous AI technologies from other areas (such as vision, security, control, and biology) in order to build efficient and durable systems that interact in the real world is a new problem. Despite recent improvements in fundamental AI technologies, the integration of these skills into larger, trustworthy, transparent, and maintainable systems is still in its development. Both conceptually and practically, there are a number of unanswered issues.