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The Challenge of Time: Finding High-Resolution Rainfall Data for Urban Areas

Urban areas face unique challenges when it comes to managing rainwater. "The Challenge of Time: Finding High-Resolution Rainfall Data for Urban Areas" explores the crucial need for detailed rainfall infor…

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Daniil Maslyuk, Johnny Winter, ¿Tepán Re¿l
Exam Ref DP-600 Implementing Analytics Solutions Using Microsoft Fabric

Prepare for Microsoft Exam DP-600 and demonstrate your real-world mastery of Microsoft Fabric analytics solution development. Designed for working Fabric analytics engineers, this Exam Ref focuses on the …

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Hubert Dulay, Ralph Debusmann
Streaming Databases

"Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics…

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Data Fabric Architectures

The immense increase on the size and type of real time data generated across various edge computing platform results in unstructured databases and data silos. This edited book gathers together an internat…

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The Impact of Algorithmic Technologies on Healthcare

The book explores the fundamental principles and transformative advancements in cutting-edge algorithmic technologies, detailing their application and impact on revolutionizing healthcare. This book provi…

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Computational Intelligence in Internet of Agricultural Things

This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, …

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Alara Efsun Yaz¿c¿o¿lu, Xavier Oberson
Taxation of Big Data

This book has the merit of being the first book analysing different aspects of data taxation from a wide perspective encompassing not only tax law but also other significant issues related to data, such a…

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Bosen Lian, Wenqian Xue, Bahare Kiumarsi, Hamidreza Modares
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games

Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with brea…

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