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.
Intelligent and Smart Computing
Explore the latest advances in intelligent computing and their application to real-life problems like energy management, healthcare, and autonomous vehicles. Case studies reveal the effectiveness of smart solutions, making this book valuable for researchers and practitioners.
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.
The Internet generates a vast, unstructured body of ‘grass-roots’ fictions. This collection explores this uncharted territory, bringing together expertise from linguistic, literary, media and cultural studies for passionate discussions of Internet Fictions.
Developing big information systems is inefficient. This book presents Knowledge Based Automated Software Engineering (KBASE), a method to improve the process by automatically generating the final software product from a verified business model.
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.
For students of statistics, mathematics, and engineering, this book provides the concepts and methods of linear and integer programming. It presents formulations of diverse problems and solutions to numerical examples, making the subject matter easier to comprehend.
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.
What if the future of construction could be redefined? Concrete is a top carbon emitter, and optimizing its composition has been a challenge for decades. This book is a groundbreaking exploration of how machine learning can revolutionize concrete mixtures for a demanding world.
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 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.
This book provides theory on artificial intelligence techniques and insight on application development. It is for academicians, practitioners, and students seeking a deep understanding of the latest paradigms in AI to develop intelligent systems for the benefit of humanity.
Navigating the Future
This book explores artificial intelligence’s dual role as a solution and a risk for humanity’s most pressing challenges. It discusses the ethical governance needed to guide AI’s transformative potential towards a sustainable, equitable, and peaceful future.
Neural Nexus
This book takes you on a captivating journey through the evolving landscape of AI. It delves into the workings of neural systems, both artificial and biological, to explore their profound implications—from groundbreaking innovations to the ethical dilemmas shaping our future.
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.
Next Generation Healthcare
This book explores how deep learning AI can solve healthcare’s challenges with fragmented data and security. It covers diverse applications from disease detection to EHR management and telemedicine, offering cutting-edge insights for researchers, practitioners, and policymakers.
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.
This book explains object-oriented programming concepts like classes, objects, inheritance, and polymorphism in a simple manner. It includes a large number of examples in C#, VB.Net, and Python, making it an indispensable resource to enhance your system development skills.
This book explores how artificial intelligence (AI) interprets behavioral patterns and their influence on personality. It discusses AI’s uses, from controlling diseases to modern personality analysis, and its challenges. Perfect for data scientists, academics, and students.
Performing Technology
This book covers design strategies for rich media environments that incorporate user-generated, locative content. Chapters cover areas such as choreography, virtual worlds, music performance, network music and computer games.