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Reinventing Technological Innovations with Artificial Intelligence delves into the transformative impact of Augmented and Virtual Reality (AVR) technology across industries. The book explores the merging of real and digital worlds, paving the way for personalized experiences in areas such as tourism, marketing, education, and more. With the potential to redefine business practices and societal norms in the era of Industry 4.0, AVR technologies hold untapped potential beyond gaming and entertainment. This volume presents a comprehensive overview of the current landscape, challenges, and prospects of integrating AVR with Artificial Intelligence (AI) for innovation and sustainability in various domains.

The book presents 11 edited chapters contributed by technology and innovation experts that explore applications of AI, AR and VR technologies in different sectors in both public and private sectors. The editors have included reviews of technologies that impact human resource management, corporate social responsibility, healthcare, supply chain and criminal investigation. The reviews also highlight the role of AI in sustainable agriculture and smart cities.

Key Features:

Unveils the role of AVR in transforming real surroundings into digitally enhanced personal experiences.
Explores AVR's applications beyond gaming in diverse sectors like marketing, construction, education, and more.
Discusses challenges such as technical limitations, high costs, and resistance to adopting AVR.
Addresses the need to enhance the reliability and effectiveness of AVR technologies in various industries.
Provides a comprehensive perspective on AI innovations, AR, and VR technologies with real-world examples.

The book is an informative reference for researchers, professionals, and experts in technology, innovation, who are interested in the convergence of Augmented and Virtual Reality with AI for practical applications in diverse industries.

Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems

Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems

Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems

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