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Unlock the future of finance with Blockchain, Crypto, and DeFi Step into the realm of blockchain and cryptocurrency like never before with Blockchain, Crypto, and DeFi: Bridging Finance and Technology. Crafted by Marco Di Maggio, not just a Harvard Professor of Finance but an esteemed advisor to giants like Coinbase, this is your roadmap from foundational theories to cutting-edge applications. This is far from an academic discourse detached from reality; it seamlessly integrates theory with practice through detailed case studies and practical coding tutorials. Navigating the digital landscape today demands more than just passing familiarity with the latest technologies. Delving deep into blockchain and cryptocurrencies has become a pivotal skill set for anyone looking to thrive in this constantly shifting digital era. Whether you're a student aiming for a career in finance and technology, an academic seeking to expand your knowledge base, or a professional looking to stay ahead of the curve, this textbook offers unparalleled insights into the mechanics and implications of blockchain technologies. What Sets This Book Apart: Expertise Beyond the Classroom: Direct from the boards of the crypto world's titans, this book offers comprehensive coverage ensuring the book stands as an indispensable industry reference. Theory Meets Practice: Engage with complex blockchain concepts through practical case studies and coding tutorials. Learn, Build, Invest: Equip yourself to navigate the industry as an investor, entrepreneur, or innovator. Master the art of assessing protocols, crafting your own, and seizing opportunities in the blockchain and crypto space. Wit Meets Wisdom: Enjoy the journey with a narrative that combines profound insights with a witty tone, ensuring both enlightenment and entertainment. Blockchain, Crypto, and DeFi is not just a textbook but a journey into the heart of digital finance, marked by Di Maggio's engaging style and deep expertise. Accompanied by additional online resources, including slide decks and tutorials, this book is your go-to resource and your gateway to mastering the blockchain revolution. Embark on your blockchain adventure today.
This book presents a collection of latest case studies on augmented reality (AR) and virtual reality (VR), extended reality (XR) and metaverse applications in various industries. AR, VR, XR and Metaverse are changing the business landscape, providing opportunities for businesses to offer unique services and experiences to their customers. The case studies explore business uses of the technology across multiple industries such as healthcare, tourism, hospitality, events, fashion, entertainment, retail, education and video gaming. The volume includes solutions of different maturities as well as those from startups to large enterprises thereby providing a thorough view of how AR, VR, XR and Metaverse can be used in business.
This textbook is an introductory guide to applied machine learning, specifically for biology students. It familiarizes biology students with the basics of modern computer science and mathematics and emphasizes the real-world applications of these subjects. The chapters give an overview of computer systems and programming languages to establish a basic understanding of the important concepts in computer systems. Readers are introduced to machine learning and artificial intelligence in the field of bioinformatics, connecting these applications to systems biology, biological data analysis and predictions, and healthcare diagnosis and treatment. This book offers a necessary foundation for more advanced computer-based technologies used in biology, employing case studies, real-world issues, and various examples to guide the reader from the basic prerequisites to machine learning and its applications.
This book introduces the Learning-Augmented Network Optimization (LANO) paradigm, which interconnects network optimization with the emerging AI theory and algorithms and has been receiving a growing attention in network research. The authors present the topic based on a general stochastic network optimization model, and review several important theoretical tools that are widely adopted in network research, including convex optimization, the drift method, and mean-field analysis. The book then covers several popular learning-based methods, i.e., learning-augmented drift, multi-armed bandit and reinforcement learning, along with applications in networks where the techniques have been successfully applied. The authors also provide a discussion on potential future directions and challenges.
This textbook offers the knowledge and the mathematical background or techniques that are required to implement encryption/decryption algorithms or security techniques. It also provides the information on the cryptography and a cryptosystem used by organizations and applications to protect their data and users can explore classical and modern cryptography. The first two chapters are dedicated to the basics of cryptography and emphasize on modern cryptography concepts and algorithms. Cryptography terminologies such as encryption, decryption, cryptology, cryptanalysis and keys and key types included at the beginning of this textbook . The subsequent chapters cover basic phenomenon of symmetric and asymmetric cryptography with examples including the function of symmetric key encryption of websites and asymmetric key use cases. This would include security measures for websites, emails, and other types of encryptions that demand key exchange over a public network.Cryptography algorithms (Caesar cipher, Hill cipher, Playfair cipher, Vigenere cipher, DES, AES, IDEA, TEA, CAST, etc.) which are varies on algorithmic criteria like- scalability, flexibility, architecture, security, limitations in terms of attacks of adversary. They are the core consideration on which all algorithms differs and applicable as per application environment. The modern cryptography starts from invent of RSA (Rivest-Shamir-Adleman) which is an asymmetric key algorithm based on prime numbers. Nowadays it is enabled with email and digital transaction over the Internet. This textbook covers Chinese remainder theorem, Legendre, Jacobi symbol, Rabin cryptosystem, generalized ElGamal public key cryptosystem, key management, digital signatures, message authentication, differential cryptanalysis, linear cryptanalysis, time-memory trade-off attack, network security, cloud security, blockchain, bitcoin, etc. as well as accepted phenomenon under modern cryptograph. Advanced level students will find this textbook essential for course work and independent study. Computer scientists and engineers and researchers working within these related fields will also find this textbook useful.
This book explores the rich history of the keyword from its earliest manifestations (long before it appeared anywhere in Google Trends or library cataloging textbooks) in order to illustrate its implicit and explicit mediation of human cognition and communication processes. The author covers the concept of the keyword from its deictic origins in primate and proto-speech communities, through its development within oral traditions, to its initial appearances in numerous graphical forms and its workings over time within a variety of indexing traditions and technologies. The book follows the history all the way to its role in search engine optimization and social media strategies and its potential as an element in the slowly emerging semantic web, as well as in multiple voice search applications. The author synthesizes different perspectives on the significance of this often-invisible intermediary, both in and out of the library and information science context, helping readers to understand how it has come to be so embedded in our daily life.This book: Provides a thorough history of the keyword, from primate and proto-speech communities to current timesExplains how the concept of the keyword relates to human cognition and communication processesHighlights the applications of the keyword, both in and out of the library and information science context
Young Adulthood Across Platforms explores from a feminist and intersectional perspective, how young adults engage with mobile applications, incorporating them into their daily lives and everyday practices.
This book offers a comprehensive overview of the current state of cybersecurity in smart cities and explores how AI and IoT technologies can be used to address cybersecurity challenges.
This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis and how they are applied to solve various environmental problems from forestry to climate change.
This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression. The Second Edition is thoroughly revised, featuring a new chapter on the emerging topic of physics-informed machine learning and additional material on deep neural networks.Combining theory and practice, this book is suitable for the graduate or advanced undergraduate level classroom and self-study. It fills the need of a mathematically-rigorous text that is relevant to the practitioner as well, with datasets from applications in bioinformatics and materials informatics used throughout to illustrate the theory. These datasets are available from the book website to be used in end-of-chapter coding assignments based on python and Keras/Tensorflow. All plots in the text were generated using python scripts and jupyter notebooks, which can be downloaded from the book website.
More figures will bridge the gap between mathematics and visualization of the communication systemKEY FEATURES ¿ More figures to visualize the communication system.¿ Limited mathematics to explain the concept.¿ Complete overview of the communication system.DESCRIPTION In today's tech-driven world, communication systems play a crucial role in sharing information effectively. The book, Analog and Digital Communication helps you grasp the fundamental principles of these systems, enabling you to analyze and visualize information flow.This book on communication systems teaches you the basics of how information travels. It covers key concepts and tools, showing how analog information is transmitted on a carrier signal using techniques like AM and FM. You will also learn about converting analog signals to digital data and using modulation techniques like ASK and PSK. The book explains handling noise in communication and introduces information theory to understand data capacity and noise impact. It covers performance metrics like BER and channel coding for error correction. Additionally, it explores wireless and optical communication technologies like cellular networks, Wi-Fi, and optical fiber communication.By the end of this book, you will master analyzing digital modulation, understanding noise in communication, and using error correction methods. You will explore modern wireless and optical communication with light pulses, gaining skills to navigate the communication world confidently.WHAT YOU WILL LEARN¿ Visualize communication techniques.¿ Relate the mathematical expressions with communication techniques.¿ Find out the importance of different parameters in the performance of the communication system.¿ Understand the impact of noise and techniques to overcome it.WHO THIS BOOK IS FORThis book is suitable for undergraduate ECE students in all universities, as well as students of ICT and anyone interested in communication. It is ideal for engineering students, aspiring communication professionals, and curious individuals seeking insights into the technology connecting our world.
This book delves into cutting-edge research, encompassing both theoretical and experimental aspects, as well as innovations in the domains of cyberspace and outer space security.
This book provides a detailed description of the topics related to XAI and Blockchain.
This new edition has been revised and expanded with new drawings to give the reader a complete picture of HVAC and heat pump systems.
Design Integration Using Autodesk Revit 2025 is designed to provide you with a well-rounded knowledge of Autodesk Revit tools and techniques. All three disciplines of the Revit platform are introduced in this textbook.
Commercial Design Using Autodesk Revit 2025 is designed for the architectural student using Revit 2025. The intent is to provide you with a well-rounded knowledge of tools and techniques for use in both school and industry.
Parametric Modeling with Autodesk Inventor 2025 contains a series of seventeen tutorial style lessons designed to introduce Autodesk Inventor, solid modeling, and parametric modeling. It uses a hands-on, exercise-intensive approach to all the important parametric modeling techniques and concepts.
This book examines the uses and potential risks of location-based services (LBS) in the context of big data, with a focus on location privacy protection methods.
This concise and accessible guide equips readers with the knowledge and skills needed to implement digital control algorithms to design efficient and reliable power converters using STM32 microcontrollers.
This book addresses the most common questions raised by parents regarding the impact of media on children. It offers insights on suitable media choices for children, fostering healthy media usage, determining appropriate age for media consumption, and navigating related technologies.
This book introduces the centralized robust H¿ team formation tracking control strategy of multi-UAV network system under intrinsic random fluctuation, time-varying delay and packet dropout in wireless communication, and external disturbance.
AI and ML for Sustainable Development: Innovations, Challenges, and Applications is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development.
The book aims to increase the efficiency of the algorithms with a lesser number of computations as well as optimize the resources with cost-effective solutions.
This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing. It uses case studies and examples to discuss the potential of machine learning in the realm of multimedia.
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