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This book comprehensively examines the rapidly changing tactics and technologies used to combat crime.
This book discusses the multifaceted nature of organisational excellence and proceeds to consider the roles played by data, technological advances leading to innovation, and value-based leadership in guiding an organisation in its journey towards excellence.
There is a need to categorize AI applications, tools, techniques, and algorithms based on their intended use in various design stages. This handbook explores various categories with compatible AI techniques, tools, and algorithms together in one place.
This book examines the digital transformation of the sports industry. It explores the digital and technological changes that will shape the sports industry for years to... Læs mere
The book looks at how artificial intelligence, geographic information systems, and multi-criteria decision making could be used to come up with strategies for building resilience and achieving sustainable development in the Asia-Pacific region.
Artificial Intelligence (AI) has revolutionized digital forensics, bringing previously unheard-of powers to this field. This book explores the advancements, applications, challenges, and solutions that AI brings to the realm of digital forensics.
This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities.... Læs mere
Data has been called the “new oil” of the 21st Century economy, yet knowledge of how to harness and comprehend data is lagging. This book presents a comprehensive guide for undergraduate students and business practitioners to acquire the core competencies to become data literate.
This volume covers the analytics revolution in Industry 4.0 for the mother industries like mining, oil & gas, steel and so forth. It fousses... Læs mere
The book examines the unique challenges and opportunities that emerged because of the pandemic. It provides a comprehensive roadmap for... Læs mere
It is divided in four parts - supply chain management, production planning and inventory management, signal processing and social sciences in such a way that researchers can follow up to date progress in the field while observing various applications with large datasets.