Showing results for "athina bourdena"

The book delves into how edge AI, combined with technologies like 6G, is transforming industries by enabling decentralized decision-making and faster responses to data-intensive tasks. The book discusses how AI-driven cybersecurity tools are being developed to detect, mitigate, and prevent cyberattacks, ensuring that systems remain resilient in the face of evolving threats. The book also addresses the ethical implications of AI and big data, particularly as these technologies become more p...

This book covers a wide range of applications and scenarios of intelligent technologies for healthcare business applications. The authors adopt an interdisciplinary approach with both theoretical and practical approaches in order to be relevant to multiple audiences. This book encapsulates fundamental and cutting-edge research paradigms of intelligent healthcare environments and addresses related open-ended research issues. The authors also explore recent advances, disseminate state-of-the...

This book highlights a comprehensive overview of the recent advancements and challenges in the field of cybersecurity with a focus on the integration of artificial intelligence (AI), machine learning (ML), and blockchain technologies. The book targets both researchers and practitioners working in the field of cybersecurity and aims to fill the gap in the current literature by providing a comprehensive and up-to-date examination of the integration of AI, ML, and blockchain in cybersecurity ...

Artificial Intelligence based Solutions for Industrial Applications aims to examine the utilization of artificial intelligence (AI) technologies to tackle difficult industrial issues and offers readers a thorough understanding of how these technologies are being employed to address intricate industrial challenges and to stimulate innovation. This book explores the fundamental principles of artificial intelligence (AI) and its practical use in industrial environments. This ...

The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robu...

This book offers a contemporary and interdisciplinary perspective on the technologies shaping the next generation of intelligent decision-making. The volume features thirteen chapters that collectively explore how cognitive computing can bring together advanced technologies – like artificial intelligence, and blockchain networks – to improve healthcare, cybersecurity and human digital experiences. Rather than examining these areas in isolation, the book highlights their growing interconnec...

In an increasingly data-centric world, scholars and practitioners grapple with the complexities of harnessing data analytics effectively across various industries. The challenge lies in navigating the rapid evolution of methodologies, identifying emerging trends, and understanding the nuanced applications of data analytics in real-world scenarios. This gap between theory and practice inhibits academic progress. It hampers industry innovation, leaving stakeholders needing help to leverage d...

This book explores the transformative role of soft computing methods in increasing business analytics, providing a comprehensive look into how these advanced methods can be applied to complex business data for meaningful insights. Through the integration of neural network, fuzzy logic, genetic algorithms, artificial intelligence, machine learning, deep learning, and other innovative approaches, Intelligent Business Analytics: Harnessing the Power of Soft Computing for Data- Driven Insi...

In today's rapidly advancing digital world, governments are increasingly relying on technology to enhance security systems and streamline governance. However, this growing reliance on digital platforms and data collection also presents significant challenges. Cybersecurity threats and privacy concerns pose large risks to sensitive information and can potentially leading to inaccuracies or breaches within deep learning models. There is a pressing need for comprehensive solutions that addres...

Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. ...

This book contains a collection of research that discusses the latest ideas, applications, and technology related to smart systems, including medical applications, business intelligence, and intelligent-based education. In addition to some papers that shows how is artificial intelligence technologies deals with some problems related to environmental and sustainability.

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge has emerged, begging for an ingenious solution. The exchange and analysis of biological data faces an enduring dilemma: the struggle for data integrity and ownership. The existing conventional methods, while proficient in some domains, fall short when it comes to ensuring the seamless transfer of intricate genomic data. This impasse, though daunting, is now met with a groundbreaking solution that fus...