This paper presents ensemble models for forecasting big data time series. An ensemble
composed of three methods (decision tree, gradient boosted trees and random forest) is …

Urban ecology is experiencing the third paradigm shift. To understand the interactions
between the social system and the natural system in the city across time and space, and to …

The public sector, private firms, business community, and civil society are generating data
that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of …

Tunnel oxide passivated contacts (TOPCon) have gained interest as a way to increase the
energy conversion efficiency of silicon solar cells, and the International Technology …

Materials are the foundation of social development. The vigorous development of big-data
technology has brought new opportunities for material research and development, gradually …

The alteration of the landscape due to urban concentration can bring effects such as “heat
islands” that affect human well-being. The objective was to apply mathematical modeling …

Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence
and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data …

AI (artificial intelligence)-based analysis of geospatial data has gained a lot of attention.
Geospatial datasets are multi-dimensional; have spatiotemporal context; exist in disparate …

Recently, resource allocation in cloud computing has become a popular research topic. Hi-
WAY is a scientific workflow management system that facilitates workflows involving large …

Convergence between high-performance computing (HPC) and big data analytics (BDA) is
currently an established research area that has spawned new opportunities for unifying the …