Mathematical Methods in Data Science introduces a new approach based on network analysis to integrate big data into the framework of ordinary and...
Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve...
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on...
Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big data methods...
Carbon Dots in Agricultural Systems integrates and crystallizes the emerging knowledge and application strategies of carbon dots as a powerful tool in...
Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations)...
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic...
Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing...
Classification Made Relevant explains how classifications and ontologies are designed, and how they are used to analyze scientific information. It is...
E-health applications such as tele-medicine, tele-radiology, tele-ophthalmology, and tele-diagnosis are very promising and have immense potential to...