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 ex...Loe edasi...
The book provides comprehensive and in-depth exploration of how soft computing techniques can be applied in the domain of business analytics. The book shows these techniques can be leveraged to extract valuable insights from vast and complex dataset...Loe edasi...
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 pla...Loe edasi...
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....Loe edasi...
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 come. Topics covered include digital innovation, AI, machine learning, optimizat...Loe edasi...
This book addresses social and complex network analysis challenges, exploring social network structures, dynamic networks, and hierarchical communities. Emphasising network structure heterogeneity, including directionality and dynamics, it covers co...Loe edasi...
This volume covers the analytics revolution in Industry 4.0 for the mother industries like mining, oil & gas, steel and so forth. It fousses on use of advanced analytics and artificial intelligence to improve the business decisions aimed to increase...Loe edasi...
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 competen...Loe edasi...
As more companies go digital and conduct their business online, this book provides practical examples of how companies can better manage their data and use it to generate maximum value. The book offers an integrated approach by treating data as an a...Loe edasi...
Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems: Defense, Biomedical, Infrastructure, and Transportation offers an introductory exploration of the fundamental theories and concepts of Artificial Intelligence...Loe edasi...
The book examines the application of machine learning to enhance resource allocation in IoT networks, with a specific focus on energy efficiency. It discusses various algorithms, including neural networks and reinforcement learning, to optimize reso...Loe edasi...
The book explores the intersection of cutting-edge technologies and industrial trends. Researching Artificial Intelligence, machine learning, and data analytics, it examines the transformative potential of computational intelligence in shaping the f...Loe edasi...
Volumes have been written on the need for high-quality data to support organizational decision-making. Navigating the Data Minefields: Managements Guide to Better Decision-Making provides executives and SMEs with a reasonable set of (useful) tools t...Loe edasi...
The increasing prominence of Generative AI presents healthcare integration opportunities. From generating valuable patient insights to automating operations, streamlining patient care, and implementing preventive technologies, Generative AI has the...Loe edasi...
Crime-Related Events Identification Based on Text Analytics Approach describes the possibilities of extracting crime-related facts from semi-structured information from various Internet sources, so that crime can be combatted. The book is aimed at p...Loe edasi...
This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. Youll learn how to overcome these hurdles without needing to set up complex infrastructure. Written by developers of the Arrow R package,...Loe edasi...
The book discusses various partitioning strategies tailored for traditional machine learning algorithms. This book is a vital resource, illuminating the path towards unlocking the full potential of partitioning in shaping the future of AI technologi...Loe edasi...
A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB®, which are available o...Loe edasi...
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 application...Loe edasi...
This book explores the application of the complex relationship between concept drift and cutting-edge large language models to address the problems and opportunities in navigating changing data landscapes....Loe edasi...
