Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …

Optimum-path forest (OPF) is a graph-based machine learning method that can overcome
some limitations of the traditional machine learning algorithms that have been used in …

This study aims to analyze the benefits of improved multi-scale reasoning for object
detection and localization with deep convolutional neural networks. To that end, an efficient …

Land cover classification of satellite images has been a very predominant area since the last
few years. An increase in the amount of information acquired by satellite imaging systems …

Rapid urbanization and climate change exacerbate the urban heat island effect, increasing
the vulnerability of urban residents to extreme heat. Although many studies have assessed …

Duplex stainless steels present excellent mechanical and corrosion resistance properties.
However, when heat treated at temperatures above 600∘ C, the undesirable tertiary sigma …

Machine learning techniques have been actively pursued in the last years, mainly due to the
increasing number of applications that make use of some sort of intelligent mechanism for …

Contextual-based classification has been paramount in the last years, since spatial and
temporal information play an important role during the process of learning the behavior of …

In this study, a statistical recognition model based on similarity preserving multi-task learning
(SP-MTL) is developed for radar target recognition of high-resolution range profile (HRRP) …

In this chapter, in order to show the efficiency of OPF in the intrusion detection systems
(IDSs) and also in the large-scale problems, we introduce five hybrid and modified OPFs as …