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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.
List of contents
Blockchain Technology for Collaborative Research A Qualitative Analysis.- Novel Image Quality Index: Integrating UQI and GSI for Enhanced Quality Assessment.- Detecting Cyber Attacks Using Deep Learning: An Empirical Study on Network Traffic Data.- Transitioning to Renewables: Forecasting the U.S. Energy Shift and Its Impact on Emissions and Climate.- Anomaly Detection on Abrupt Climate Change Using AI Techniques.- Sustainable Finance Echelon Futurism: Vanguard Visionaries' Financial Mastery for Organizational Excellence and Business Prosperity.- The Ecological Footprint as an Indicator of Living Standards: The Relationship between Consumption Patterns and Environmental Sustainability.- Landscape View of Improving Transparencies in Agricultural Supply Chain Using Blockchain Technology.- Development of Assessment Rubric Performance of Competency Managing Receivable.- New Hybrid Approach to Credit Card Fraud Detection Using CNN and Machine Learning Techniques.- IMSMDL: Design and implement an Information Management System for Medical Diagnostic Laboratories.- Artificial Intelligence in Education: A Systematic Review for Learning Techniques.- Advanced Facial Recognition System: Integrating Gabor, Fourier, and Histogram of Oriented Gradients for Superior Feature Extraction.- Generating an MF from the Dynamical Compose for RASP's Wavelet Frame in a master system for a Fuzzy-Chaos-based model for Encryption Function.- On Sophisticated Technique Via DH-Transform.
Summary
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.
