Machine Learning

Deep learning has significantly reshaped a variety of technologies, such as image processing, natural language processing, and audio processing. Th...

This book captures deploying Industry 4.0 technologies for business excellence and moving towards Society 5.0. It addresses applications of Industr...

This volume constitutes the papers of several workshops which were held in conjunction with the 6th International Workshop on Explainable and Trans...

This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools...

The two-volume set, CCIS 2184-2185, constitutes the refereed proceedings of the First International Conference on Computation of Artificial Intelli...

This book provides a platform for presenting machine learning (ML)-enabled healthcare techniques and offers a mathematical and conceptual backgroun...

Python Forensics: A Workbench for Inventing and Sharing Digital Forensic Technology, Second Edition provides never-before-published, proven forensi...

This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditio...

This book introduces the revolutionary use of AI in the field of cervical cancer detection. The book explores how advanced computer algorithms can ...

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to appl...

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering tr...

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning,...

This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security...

This book investigates how smart technologies can play a crucial role in the achievement of the UN Sustainable Development Goals. Focusing on FinTe...

Mathematical chaos in neural networks is a powerful tool that reflects the worlds complexity and has the potential to uncover the mysteries of the ...

The transition towards exascale computing has resulted in major transformations in computing paradigms. The need to analyze and respond to such lar...

This book constitutes the refereed proceedings of the 8th International Conference on Advances in Computing and Data Sciences, ICACDS 2024, held in...

Machine learning and artificial intelligence are ubiquitous terms for improving technical processes. However, practical implementation in real-worl...

A major use of practical predictive analytics in medicine has been in the diagnosis of current diseases, particularly through medical imaging. Now ...

Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of M...

In a world where communication is key to human connection, understanding, and learning from one another, the book investigates the rich and intrica...

Conducting an in-depth analysis of machine learning, this book proposes three perspectives for studying machine learning: the learning frameworks, ...

In a VUCA world, which is becoming increasingly volatile, uncertain, and complex, companies, organizations, and states must respond promptly and ad...

This six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2...