Smart Data Intelligence

This book explores the emerging field of Intelligent Data Science and its transformative impact on smart end-user applications. Contributing to the increasing need for expanded research, this book presents the intricate relationship between Intelligent Data Science and its application in smart cities and industries, focusing on the opportunities and challenges within. By showcasing the widespread role of Intelligent Data Science in augmenting the autonomous systems and applications, this book stands as an innovative force for advancing knowledge and propelling the field forward. Tailored for a diverse audience encompassing students, scholars, professionals, and policymakers, this comprehensive volume includes various research methods, offering research insights on the multifaceted dimensions of Intelligent Data Science including big data analytics, smart data grids, knowledge discovery, social networks visualization and analysis, cognitive data analysis frameworks, deep learning, multimedia data analysis, etc. As a dynamic and indispensable contribution to the evolving domain of data analysis, this book helps the readers to embark on a journey through the cutting-edge intersection of data analysis technology and innovation, where each included chapter unfolds possibilities at the forefront of data science.

Deep Representation Learning and Split Step Fourier Method for Ultrashort Pulse Dynamics in Fiber Lasers. - Leveraging Segment Anything Model for Adaptive and Accurate Medical Image Segmentation. - Bi Directional Sign Language Translator with Integrated Speech to Sign Conversion. - Balancing the Bias Deep Imbalanced Learning through Heterogeneous Feature Synthesis. - A Multimodal Deep Learning Framework for Freshness Detection and Grading in Fruits and Vegetables. - Hybrid Deep Learning and Interpretable AI for Classifying PCOS through Ultrasound Imaging.