£83.99
£83.99
Harness computational intelligence to solve global sustainability challenges. This book moves from theory to real-world applications in energy, smart cities, and agriculture, showing how to optimize resources and build resilient systems to drive transformative solutions.
The book offers a comprehensive and advanced exploration of how computational intelligence (CI) methods can be harnessed to tackle the multidimensional challenges of sustainability. Grounded in foundational principles, the book examines core CI paradigms, including neural networks, fuzzy logic, and evolutionary algorithms, providing both theoretical underpinnings and methodological rigor. It advances into cutting-edge domains with deep learning architectures and hybrid models that integrate adaptive and data-driven decision-making techniques. The volume transitions from theory to practice through real-world applications across critical sectors, energy, smart cities, agriculture, and climate change adaptation, demonstrating how CI can model complex systems, optimize resource use, and enable resilience in dynamic environments. It emphasizes the synergy of intelligence and sustainability, highlighting computational frameworks for building future-ready, low-carbon, and efficient infrastructures. The final section explores emerging trends, ethical dilemmas, and integration challenges in deploying hybrid CI systems at scale. With a forward-looking perspective, this book equips researchers, engineers, and practitioners with the knowledge to drive transformative solutions using computational intelligence for global sustainability. It is an essential reference for advanced study and application at the intersection of artificial intelligence and sustainable development.
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.
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.
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.
This book explores artificial intelligence through the unique lens of art, showing how we can engage with AI without being subjugated by it. Each chapter begins with a work of art to guide the reader through philosophical keywords like “author,” “memory,” and “human.”
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.
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.
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 surge of interest in post-editing, the oldest form of human-machine cooperation for translation, is fundamentally changing the industry. This volume compiles work by researchers, developers, and practitioners on this essential, evolving practice.
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 examines the technological landscape that underpins the future of sustainable agriculture. From precision farming and robotics to crop genetics, it unveils diverse tools for more efficient practices, fostering increased food production to address global food shortages.
Processing Your Order
Please wait while we securely process your order.
Do not refresh or leave this page.
You will be redirected shortly to a confirmation page with your order number.
