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The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine ...
Robotics plays a pivotal role in many domains such as industry and medicine. Robots allow for increased safety, production rates, accuracy, and quality; however, robots must be well designed and controlled to achieve the required performance. The design and control of robotics involve many varying disciplines, such as mechanical engineering, electronics, and automation, and must be further studied to ensure the technology is utilized appropriately. Design and Control Advances in Robotics considers the most recent applications and design advances in robotics and highlights the latest developments and applications within the field of robotics. Covering key topics such as deep learning, machine learning, programming, automation, and control advances, this reference work is ideal for engineers, computer scientists, industry professionals, academicians, practitioners, scholars, researchers, instructors, and students.
This book continues the discussion of the effects of artificial intelligence in terms of economics and finance. In particular, the book focuses on the effects of the change in the structure of financial markets, institutions and central banks, along with digitalization analyzed based on fintech ecosystems. In addition to finance sectors, other sectors, such as health, logistics, and industry 4.0, all of which are undergoing an artificial intelligence induced rapid transformation, are addressed in this book. Readers will receive an understanding of an integrated approach towards the use of artificial intelligence across various industries and disciplines with a vision to address the strategic issues and priorities in the dynamic business environment in order to facilitate decision-making processes. Economists, board members of central banks, bankers, financial analysts, regulatory authorities, accounting and finance professionals, chief executive officers, chief audit officers and chief financial officers, chief financial officers, as well as business and management academic researchers, will benefit from reading this book.
In just the last few years, the visualization industry has arguably become the fastest-growing 3D industry and may soon overtake all others in total number of users. Just as the use of computer-aided design became the norm for nearly all architectural, engineering, and construction firms in the 1990s, 3D visualizations have become standard practice today. Autodesk® 3ds Max® is a powerful and versatile 3D software package that requires a thorough understanding in order to use it effectively. 3D Modeling Using Autodesk 3ds Max With Rendering View considers the challenges of learning 3ds Max®, focuses on the critical aspects of the program needed to produce stunning architectural visualizations, and discusses some of the fastest and most efficient ways to accomplish tasks. Covering a range of topics such as camera rendering and standard light effects, this reference work is ideal for researchers, academicians, scholars, practitioners, industry professionals, instructors, and students.
In recent years, we have ushered in a new age where applications will become smaller, distributed, JavaScript-laden, microservices-infused, and utilize the hardware of the client to operate. A new paradigm has been forced upon us by the large search providers, and because of this, we can now leverage them to help our applications obtain influence where our applications become the voice of authority on the internet and consequently help our organizations reap the benefits of mass adoption. To better understand this, we must first consider the history that has taken us to where we find ourselves. Architectural Framework for Web Development and Micro Distributed Applications helps readers to co...
The rise of metaverse technologies has had a critical impact on the modern world. Due to the recent popularity of this technology, it is important to understand the strategies, opportunities, and challenges contained in the metaverse world in order to appropriately utilize it across fields. Strategies and Opportunities for Technology in the Metaverse World explores the opportunities and challenges facing the metaverse and considers the strategies and opportunities of metaverse technologies in various industries and countries. Covering a range of topics such as blockchain, artificial intelligence, virtual reality, and machine learning, this reference work is ideal for computer scientists, researchers, scholars, policymakers, academicians, practitioners, educators, and students.
The rapid increase of web pages has introduced new challenges for many organizations as they attempt to extract information from a massive corpus of web pages. Finding relevant information, eliminating irregular content, and retrieving accurate results has become extremely difficult in today’s world where there is a surplus of information available. It is crucial to further understand and study web mining in order to discover the best ways to connect users with appropriate information in a timely manner. Advanced Practical Approaches to Web Mining Techniques and Application aims to illustrate all the concepts of web mining and fosters transformative, multidisciplinary, and novel approaches that introduce the practical method of analyzing various web data sources and extracting knowledge by taking into consideration the unique challenges present in the environment. Covering a range of topics such as data science and security threats, this reference work is ideal for industry professionals, researchers, academicians, practitioners, scholars, instructors, and students.
In todays digital society, organizations must utilize technology in order to engage their audiences. Innovative game-like experiences are an increasingly popular way for businesses to interact with their customers; however, correctly implementing this technology can be a difficult task. To ensure businesses have the appropriate information available to successfully utilize gamification in their daily activities, further study on the best practices and strategies for implementation is required. The Handbook of Research on Gamification Dynamics and User Experience Design considers the importance of gamification in the context of organizations improvements and seeks to investigate game design from the experience of the user by providing relevant academic work, empirical research findings, and an overview of the field of study. Covering topics such as digital ecosystems, distance learning, and security awareness, this major reference work is ideal for policymakers, technology developers, managers, government officials, researchers, scholars, academicians, practitioners, instructors, and students.
This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
Internet of things networks have shown promising outcomes in the provisioning of potentially critical services such as safety applications, healthcare, and manufacturing. However, there are many challenges related to the security, data analysis, and limited resources of the performed operations that require further investigation. Additional research is necessary to address the concerns and doubts of researchers and industry professionals in the Internet of Things. Security, Data Analytics, and Energy-Aware Solutions in the IoT reports novel methodologies, theories, technologies, and solutions for security and data analytics techniques and energy-aware solutions for the Internet of Things. Covering a wide range of topics such as laser attacks and personal data, it is ideal for academicians, industry professionals, researchers, instructors, and students.