This book shows how artificial intelligence (AI) and machine learning (ML) are used to prevent security assaults on blockchain. It explores use cases and security methods, arguing that integrating AI and ML is crucial for increasing blockchain security.
Classical Signal Processing and Non-Classical Signal Processing
Unraveling the allure of signals, this book explores their profound impact on modern life. From classical techniques to cutting-edge advancements, it delves into fundamental concepts and diverse applications in audio, image processing, communications, and biomedical analysis.
Next Generation Peer-to-Peer Engineering
This book provides a history of peer-to-peer technology and defines the “peer-to-peer spectrum,” which expands the idea of a P2P network. It also clarifies overlay networks and provides the in-depth technical description of security and protocols to implement a P2P system.
Satellite images often suffer from interpretability issues and lost details due to sensor limitations. This book exploits deep learning to boost minute details and improve classification, showing how super-resolution improves spatial detail for precise decision-making.
Intelligent Transportation Systems
With demand for mobility growing and infrastructure limited, Intelligent Transportation Systems (ITS) are essential. This book presents the ingredients of good ITS not from a technology perspective, but from a business, management, and policy view, with real-life case studies.
A guide for business students, investors, and professionals to learn R and Python. This book uses a unique R-assisted learning environment and provides 15 weeks’ worth of teaching material.
Analysis and Forecasting of Financial Time Series
This book uses real-world cases to show how to analyse volatile financial time series with statistical analysis, machine learning, and deep learning. Learn to build predictive models to forecast stock prices and construct profitable portfolios using Python and R.
As new discoveries transform our view of the universe, this book focuses on the core questions: Is any living organism only the result of programming? What of the human being? Are we a robot participating in the living world or a consciousness in a biological habitat?
This multidisciplinary book explores COVID-19’s impact across the sciences and humanities. It offers varied perspectives on the pandemic’s challenges and solutions, with a specific focus on Indonesia. For researchers, students, the public, and policy makers.
Enhanced Learning Environments
This book looks beyond buzzwords for the ground truth in how technology can enhance education. It makes a strong case for how innovations like immersive virtual reality, accessible Hollywood technology, and the metaverse can create a new frontier for future-focused learning.
This book is the first complete overview of data compression methods in analytical spectroscopy and imaging. Its rigorous mathematical basis, detailed examples, and reproducible computer calculations make it a valuable guide for theorists, practitioners, and students.
Digital transformation has changed marketing, but its impact on consumer behaviour still requires exploration. This book sheds light on the challenges and solutions for companies, investigating customer experience, influencer marketing, and trust for the online consumer.
Using real-world cases, this book illustrates how to handle volatile financial time series data. Learn to apply statistical, machine learning, and deep learning techniques with R and Python to build robust predictive models and construct profitable investment portfolios.
The Digital Generation Reaches Maturity
This book explores the changing landscape of business and consumer behaviour, shaped by digital disruption and post-pandemic conditions. It identifies emerging trends, considering context and generation, to help you understand our world and develop better products and services.
This volume presents research merging classical measurement theory with modern data science. Discover novel methods for superior measurement design, robust data evaluation, and efficient instrumentation implementations.
The growth of cybersecurity issues affects us all. This book addresses current challenges in information security for a wide range of users, from governments to students, discussing topics like educational frameworks and applications of security principles in specific domains.
Mainframe Computer Systems
This volume describes General Electric’s venture into mainframe computers. GE pioneered commercial timesharing, and its hardware was used to develop the BASIC language and the influential Multics system. Unable to compete with IBM, GE sold its computer division to Honeywell.
This book provides a fresh look at the evolution of mobility management for next generation networks. It goes beyond traditional, centralized approaches, offering insights into practical ways of distributing mobility management for operators and end-users.
Neuroinformatics and Semantic Representations
This book proposes a neural network for structural information analysis. Inspired by the human brain, this approach reconstructs a model of the world to interpret behaviour and enables automatic semantic analysis of text, constructing a semantic portrait from any stream.
Virtual and Augmented Reality
This book explores the latest research in education design for virtual and augmented reality. Using numerous studies and examples, it will help the reader gain a better understanding of the nature of these realities and their applications in theory and practice.
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