Affective computing is an emerging multidisciplinary research field that is increasingly
drawing the attention of researchers and practitioners in various fields, including artificial …

Life cycle assessment (LCA) is a method that focuses on measuring indicators and making
decisions in the environmental dimension. However, its isolation from economic, social, and …

The increasing adoption of Big Data analytics has led to a high demand for efficient
technologies in order to manage and process large datasets. Popular MapReduce …

As the size of Big Data workloads keeps increasing, the evaluation of distributed frameworks
becomes a crucial task in order to identify potential performance bottlenecks that may delay …

In recent years, the significant advantages brought to business processes by process mining
account for its evolution as a major concern in both industrial and academic research. In …

With the advent of the Internet of Things (IoT), data stream processing have gained
increased attention due to the ever-increasing need to process heterogeneous and …

Recent innovations in agriculture have made it smarter, more intelligent, and précised. Due
to the technological advancement paradigm shift of agriculture practices from traditional to …

Abstract Context: The Data Stream Processing (DSP) approach focuses on real-time data
processing by applying specific techniques for capturing and processing relevant data for on …

Real-time concept is being widely used by a society that seeks to speed communications,
decisions and their daily activities. Even though this term is not used with the necessary …

This paper addresses the context data integration and processing problem for design of data
driven application by introducing ASAPCS (Auto-scaling and Adjustment Platform for Cloud …