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.
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.
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.
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.
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 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.
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?
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.
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.
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.
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.
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.
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.
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.
This book discusses traffic information estimation methods using cellular network data for Intelligent Transportation Systems. It proposes three key methods: Handover (HO)-based, Fingerprint Positioning Algorithm (FPA)-based, and Cell Probe (CP)-based.
This book offers an integral view of human speech behavior, uniting biology, linguistics, math, and AI. It explores neural networks and microelectronics for speech recognition, text-to-speech synthesis, and dialogue systems. For a broad professional audience.
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.
Understanding the Metaverse and its Technological Marvels
Explore the Metaverse, the new digital frontier where VR, AR, and AI converge. This guide details its transformative potential in education, healthcare, and commerce, while addressing the critical challenges of privacy, security, and inclusivity for a responsible future.
Are we alone? Journey into the Search for Extraterrestrial Intelligence (SETI), from its origins to the Drake equation. Explore AI-driven searches, first contact scenarios, and radical theories connecting the hunt for alien life with parallel universes.
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.