Yasakethu (36 results)

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Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides an extensive discussion and methodologies related to STEM education to enhance future educational opportunities.Inclusive Education: STEM in the Age of Modern AI explores and provides an educational support system for students with special needs within the STEM education framework. The book is composed of five chapters. Chapter 1 introduces the evolution of inclusive education during the last two decades. This chapter also discusses the importance of having an equal education and current challenges in inclusive education. Chapter 2 discusses the AI methodologies that can provide solutions to inclusive education. Furthermore, it discusses how modern AI approaches, such as Generative AI (GenAI) and Large Language Models (LLMs), are integrated into inclusive education support systems. Chapter 3 introduces AI-supported systems for analyzing emotional and behavioral aspects in STEM education. Enhancing STEM learning for visual and hearing impairments has been discussed in Chapter 4. Finally, Chapter 5 introduces the Metaverse approach as a methodology for inclusive learning support in distance learning education.The book is written for a wide audience, such as STEM module learners, teachers, researchers, system developers, medical professionals, and industrial professionals, who interact in modern AI and education support system development.

Condition: New.

Condition: New.

Paperback. Condition: New. This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides an extensive discussion and methodologies related to STEM education to enhance future educational opportunities.Inclusive Education: STEM in the Age of Modern AI explores and provides an educational support system for students with special needs within the STEM education framework. The book is composed of five chapters. Chapter 1 introduces the evolution of inclusive education during the last two decades. This chapter also discusses the importance of having an equal education and current challenges in inclusive education. Chapter 2 discusses the AI methodologies that can provide solutions to inclusive education. Furthermore, it discusses how modern AI approaches, such as Generative AI (GenAI) and Large Language Models (LLMs), are integrated into inclusive education support systems. Chapter 3 introduces AI-supported systems for analyzing emotional and behavioral aspects in STEM education. Enhancing STEM learning for visual and hearing impairments has been discussed in Chapter 4. Finally, Chapter 5 introduces the Metaverse approach as a methodology for inclusive learning support in distance learning education.The book is written for a wide audience, such as STEM module learners, teachers, researchers, system developers, medical professionals, and industrial professionals, who interact in modern AI and education support system development.

paperback. Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Paperback. Condition: Brand New. 174 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Condition: New. Eng. H.M.K.K.M.B. Herath is a Lecturer-Higher Grade in Mechatronics Engineering at Sri Lanka Technology Campus (SLTC) and Co-Investigator at the Computational Intelligence and Robotics (CIR) Research Laboratory. He teaches advanced modules including Arti.

Paperback. Condition: New. This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides an extensive discussion and methodologies related to STEM education to enhance future educational opportunities.Inclusive Education: STEM in the Age of Modern AI explores and provides an educational support system for students with special needs within the STEM education framework. The book is composed of five chapters. Chapter 1 introduces the evolution of inclusive education during the last two decades. This chapter also discusses the importance of having an equal education and current challenges in inclusive education. Chapter 2 discusses the AI methodologies that can provide solutions to inclusive education. Furthermore, it discusses how modern AI approaches, such as Generative AI (GenAI) and Large Language Models (LLMs), are integrated into inclusive education support systems. Chapter 3 introduces AI-supported systems for analyzing emotional and behavioral aspects in STEM education. Enhancing STEM learning for visual and hearing impairments has been discussed in Chapter 4. Finally, Chapter 5 introduces the Metaverse approach as a methodology for inclusive learning support in distance learning education.The book is written for a wide audience, such as STEM module learners, teachers, researchers, system developers, medical professionals, and industrial professionals, who interact in modern AI and education support system development.

Paperback. Condition: New. This book combines modern Artificial Intelligence (AI) and inclusive education learning systems methodologies. The book also provides an extensive discussion and methodologies related to STEM education to enhance future educational opportunities.Inclusive Education: STEM in the Age of Modern AI explores and provides an educational support system for students with special needs within the STEM education framework. The book is composed of five chapters. Chapter 1 introduces the evolution of inclusive education during the last two decades. This chapter also discusses the importance of having an equal education and current challenges in inclusive education. Chapter 2 discusses the AI methodologies that can provide solutions to inclusive education. Furthermore, it discusses how modern AI approaches, such as Generative AI (GenAI) and Large Language Models (LLMs), are integrated into inclusive education support systems. Chapter 3 introduces AI-supported systems for analyzing emotional and behavioral aspects in STEM education. Enhancing STEM learning for visual and hearing impairments has been discussed in Chapter 4. Finally, Chapter 5 introduces the Metaverse approach as a methodology for inclusive learning support in distance learning education.The book is written for a wide audience, such as STEM module learners, teachers, researchers, system developers, medical professionals, and industrial professionals, who interact in modern AI and education support system development.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

hardcover. Condition: Very Good. Some minimal external wear. Otherwise, very clean, tight, and unmarked. A very good copy! Pages are clean, text and pictures are intact and unmarred.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Hardcover. Condition: Brand New. 174 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Condition: new. Hardcover. This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data protection and new technologies, emphasising the growing need to safeguard personal and confidential data from unauthorised access and change. The authors emphasize the crucial need of strong data protection regulations, focusing on the consequences of AI and ML breakthroughs for privacy and individual rights. This book emphasizes the multifarious aspect of data protection, which goes beyond technological solutions to include ethical, legislative and societal factors.This book explores into the complexity of data protection in the age of AI and ML. It investigates how massive volumes of personal and sensitive data are utilized to train and develop AI models, demanding novel privacy-preserving strategies such as anonymization, differential privacy and federated learning. The duties and responsibilities of engineers, policy makers and ethicists in minimizing algorithmic bias and ensuring ethical AI use are carefully defined. Key developments, such as the influence of the European Union's General Data Protection Regulation (GDPR) and the EU AI Act on data protection procedures, are reviewed critically. This investigation focusses not only on the tactics used, but also on the problems and successes in creating a secure and ethical AI ecosystem. This book provides a comprehensive overview of the efforts to integrate data protection into AI innovation, including valuable perspectives on the effectiveness of these measures and the ongoing adjustments required to address the fluid nature of privacy concerns.This book is a helpful resource for upper-undergraduate and graduate computer science students, as well as others interested in cybersecurity and data protection. Researchers in AI, ML, and data privacy as well as data protection officers, politicians, lawmakers and decision-makers will find this book useful as a reference. This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a thorough and unique overview of the challenges, opportunities and solutions related with data protection in the age of AI and ML technologies. It investigates the interface of data protection and new technologies, emphasising the growing need to safeguard personal and confidential data from unauthorised access and change. Theauthors emphasizethe crucial need of strong data protection regulations, focusing on the consequences of AI and ML breakthroughs for privacy and individual rights.Thisbook emphasizesthe multifarious aspect of data protection, which goes beyond technological solutions to include ethical, legislative and societal factors.This book explores into the complexity of data protection in the age ofAI andML.It investigates how massive volumes of personal and sensitive data are utilized to train and develop AI models, demanding novel privacy-preserving strategiessuch asanonymization, differential privacy and federated learning. The duties and responsibilities of engineers, policy makers and ethicists in minimizing algorithmic bias and ensuring ethical AI use are carefully defined. Key developments, such as the influence of the European Union's General Data Protection Regulation (GDPR) and the EU AI Act on data protection procedures, are reviewed critically. This investigation focusses not only on the tactics used, but also on the problems and successes in creating a secure and ethical AI ecosystem. This book provides a comprehensive overview of the efforts to integrate data protection into AI innovation, including valuable perspectives on the effectiveness of these measures and the ongoing adjustments required to address the fluid nature of privacy concerns.This bookis a helpfulresourcefor upper-undergraduate and graduate computer science students, as well as others interested in cybersecurity and data protection. Researchers in AI, ML, and data privacy as well as data protection officers, politicians, lawmakers and decision-makers will find this book useful as a reference.

Hardcover. Condition: Brand New. 321 pages. 9.25x6.10x9.21 inches. In Stock.

Paperback. Condition: Brand New. 174 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.

Condition: new. Questo è un articolo print on demand.