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This book presents recent research on the application of Artificial Intelligence and Computational Technologies, as discussed at the 2nd International Conference on Emerging Trends in AI and Computational Technologies. The contributions in this volume highlight the advancements in AI fields and computational technologies such as machine learning, generative intelligence, and language-based models and illustrate their transformative impact on their applications. This proceeding, comprising many techniques that focus on using AI in many fields such as Climate Change and Biodiversity Conservation, Sustainability and Environmental Impact, Education and Learning Techniques, Smart City Planning and Management, and Agriculture for Sustainable Food Production, also introduces innovative methodologies and presents the findings derived from their original research. Theoretical and empirical studies featured in this book employ a range of computational techniques, including deep learning frameworks, data-driven analysis, and optimization algorithms. These approaches enhance the performance and efficiency of various applications in sectors like healthcare, finance, and entertainment. Additionally, the book explores the ethical implications of deploying AI technologies and provides strategies to navigate the associated risks.The chapters discuss essential topics such as methodology, validation, and the implications of AI in real-world scenarios, making this book a vital resource for understanding and leveraging the power of Artificial Intelligence and Computational Technologies in contemporary applications.

This book presents recent research on the application of Artificial Intelligence and Computational Technologies, as discussed at the 2nd International Conference on Emerging Trends in AI and Computational Technologies. The contributions in this volume highlight the advancements in AI fields and computational technologies such as machine learning, generative intelligence, and language-based models and illustrate their transformative impact on their applications. This proceeding, comprising many techniques that focus on using AI in many fields such as Climate Change and Biodiversity Conservation, Sustainability and Environmental Impact, Education and Learning Techniques, Smart City Planning and Management, and Agriculture for Sustainable Food Production, also introduces innovative methodologies and presents the findings derived from their original research. Theoretical and empirical studies featured in this book employ a range of computational techniques, including deep learning frameworks, data-driven analysis, and optimization algorithms. These approaches enhance the performance and efficiency of various applications in sectors like healthcare, finance, and entertainment. Additionally, the book explores the ethical implications of deploying AI technologies and provides strategies to navigate the associated risks.The chapters discuss essential topics such as methodology, validation, and the implications of AI in real-world scenarios, making this book a vital resource for understanding and leveraging the power of Artificial Intelligence and Computational Technologies in contemporary applications.

This book presents recent research on the application of Artificial Intelligence and Computational Technologies, as discussed at the 2nd International Conference on Emerging Trends in AI and Computational Technologies. The contributions in this volume highlight the advancements in AI fields and computational technologies such as machine learning, generative intelligence, and language-based models and illustrate their transformative impact on their applications. This proceeding, comprising many techniques that focus on using AI in many fields such as Climate Change and Biodiversity Conservation, Sustainability and Environmental Impact, Education and Learning Techniques, Smart City Planning and Management, and Agriculture for Sustainable Food Production, also introduces innovative methodologies and presents the findings derived from their original research. Theoretical and empirical studies featured in this book employ a range of computational techniques, including deep learning frameworks, data-driven analysis, and optimization algorithms. These approaches enhance the performance and efficiency of various applications in sectors like healthcare, finance, and entertainment. Additionally, the book explores the ethical implications of deploying AI technologies and provides strategies to navigate the associated risks.The chapters discuss essential topics such as methodology, validation, and the implications of AI in real-world scenarios, making this book a vital resource for understanding and leveraging the power of Artificial Intelligence and Computational Technologies in contemporary applications.

This book centers on the transformative role of emerging technologies in shaping next-generation learning and education spaces. It delves into innovative approaches such as flexible learning environments, virtual and augmented reality, adaptive and personalized learning systems, and data-driven educational decision-making. Additionally, it explores collaborative learning tools, professional development for educators, and the assessment of learning in digital environments. The book aligns with the conference’s mission to empower optimal resources and advance educational outcomes by effectively integrating cutting-edge technologies. Major Contribution to the Field: This book will serve as a resource for educators, researchers, and technology innovators by providing a comprehensive and interdisciplinary perspective on how emerging technologies can revolutionize educational spaces and practices. It bridges the gap between theoretical research and practical applications, offering actionable insights and evidence-based strategies for integrating technology into diverse educational settings. By synthesizing the latest advancements, case studies, and best practices, the book contributes to the creation of impactful learning environments that foster student engagement, personalization, and adaptability.

A product of the International Conference on Data Management and Information Retrieval (Polkowice, Poland), this volume explores the technological, algorithmic, and applied dimensions of data management and information retrieval. It spans a wide range of topics, including data warehousing, semantic search, knowledge discovery, federated learning, data ethics, multilingual search engines, and AI-driven indexing. It focuses on how large-scale data infrastructures interface with advanced retrieval systems, machine learning models, and user-centric design. The volume is grounded in real-world applications across various domains such as healthcare, urban planning, public administration, and e-commerce, offering rich examples of how data and retrieval models intersect in practical environments.This volume makes a substantial contribution to the field by presenting a unique blend of foundational research and domain-specific innovation. It highlights how modern information systems are evolving from basic search and indexing to adaptive, explainable, and federated retrieval models. In contrast to earlier publications focusing narrowly on retrieval models or big data systems in isolation, this volume integrates both areas into a shared framework emphasizing interoperability, user experience, privacy, and sustainability. It positions ICDMIR as a forward-looking conference that not only tracks academic progress but also shapes the discourse on how data should be organized, accessed, and understood in an increasingly complex digital world.