Название: Drone Data Analytics in Aerial Computing
Автор: P. Karthikeyan, Sathish Kumar, V. Anbarasu
Издательство: Springer
Серия: Transactions on Computer Systems and Networks
Год: 2023
Страниц: 282
Язык: английский
Формат: pdf (true), epub
Размер: 57.7 MB
Drone data analytics guarantee that the right people have the correct data at their fingertips whenever needed. Drone flight gathers a Terabyte of data and geo-tagged reference points without traditional ground control. The data automatically uploads to the aerial computing platform. Aerial computing analyzes the data and generates the required output in visualization, graph, and action. This book presents a comprehensive overview of Drone Data Analytics in Aerial Computing, exploring the latest techniques, tools, and technologies in this rapidly growing field. This book aims to provide readers with a comprehensive understanding of drone data analytics and aerial computing. It aims to bridge the gap between the technical and non-technical aspects, making it accessible and understandable to a wide range of readers. The world of AI and Data Science is changing fast, and so are its successor technologies. One of the latest additions to this stack is Federated analytics. Federated Learning (FL) is a way to train centralized Machine Learning models on decentralized data. A dominant application of Federated Learning has been In the medical sector, where data privacy and accuracy are of prime importance. Another application where Federated Learning can make a mark is federated analytics for drone technology.