Neural networks and fuzzy systems

This comprehensive guide addresses key challenges at the intersection of data science, graph learning, and privacy preservation.

This book introduces an auto design based optimization for building frames using an artificial neural network (ANN) based Lagrange method and novel genetic algorithm (GA).

This book is a guide to navigating the evolving landscape of artificial intelligence.

While many companies have already begun their journey towards high automation and AI-powered operations, the landscape continues to shift rapidly.

This book provides a comprehensive exploration of generalization in deep learning, focusing on both theoretical foundations and practical strategies.

This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare.

This book provides insights into how AI is changing legal practice, government processes, and individuals' access to those processes, encouraging each of us to consider how technological advances are changing the legal system.

This book provides insights into how AI is changing legal practice, government processes, and individuals' access to those processes, encouraging each of us to consider how technological advances are changing the legal system.

What are the principles behind intelligent systems?

No detailed description available for "e;Applied Deep Learning on Graphs"e;.

This book provides a comprehensive overview of the concept of digital twins, emphasising its strategic importance across various commercial domains.

Why has so much of our recent attention been focused on AI while RI (Real Intelligence) is all but forgotten?

This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.

Artificial Intelligence and Ethics is a general and wide-ranging survey of the benefits and ethical dilemmas of artificial intelligence (AI).

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering.

Work on 10 practical projects, each with a blueprint for a different machine learning technique, and apply them in the real world to fight against cybercrimePurchase of the print or Kindle book includes a free PDF eBookKey FeaturesLearn how to frame a cyber security problem as a machine learning problemExamine your model for robustness against adversarial machine learningBuild your portfolio, enhance your resume, and ace interviews to become a cybersecurity data scientistBook DescriptionMachine learning in security is harder than other domains because of the changing nature and abilities of adversaries, high stakes, and a lack of ground-truth data.

This book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering.

Ontologies are formal knowledge representation methods that can provide means for a shared understanding of a given domain.

The masterpiece of Joseph Conrad's later years, the autobiographical short novel The Shadow-Line depicts a young man at a crossroads in his life, facing a desperate crisis that marks the "shadow-line" between youth and maturity.

Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems.

This book presents the state-of-the-art methods in Linear Integer Programming, including some new algorithms and heuristic methods developed by the authors in recent years.

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate students of Mathematics.

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate students of Mathematics.

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis.

This book presents a comprehensive study of different tools and techniques available to perform network forensics.

Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis.

The publication is attempted to address emerging trends in machine learning applications.

The publication is attempted to address emerging trends in machine learning applications.

This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges.

The Tale by Joseph Conrad brings together in one collection four stories by Joseph Conrad.

Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of artificial intelligence (AI), Internet of Things (IoT) and data science for future communications systems.