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Modern AI techniques –- especially deep learning –- provide, in many cases, very good recommendations: where a self-driving car... Læs mere
The goal of this book is to get leaders and practitioners to start thinking about how they may deploy techniques outside their function or industry into their domain. Application of modern technology into new areas is one of the fastest, most effective ways to improve results.
Guided by standard bioscience workflows in high-throughput sequencing analysis, this book for graduate... Læs mere
The book follows a medical cyber-physical systems' paradigm to handle the dimensionality conundrum stemming from image acquisition, image modality/resolution/representation, subspace decomposition, compressed sensing, and communications constraints.
ICT, IoT. AI, AVs, and robots, can be used with data to model, plan and evaluate an efficient and sustainable urban freight transport... Læs mere
One of the most popular database systems, Microsoft SQL Server 2019 Express, is presented and implemented in the book with over 40... Læs mere
The book discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles.
This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various... Læs mere
The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem.
This book explores opportunities and challenges in the field of IoE security and privacy under the umbrella of distributed ledger... Læs mere
Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data.