Gisele Miranda

KTH Royal Institute of Technology | KTH

We analyse and mutually compare time series of covid-19 -related data and mobility data across Belgium's 43 arrondissements (NUTS 3). In this way, we reach three conclusions. First, we could detect a decrease in mobility during high-incidence stages of the pandemic. This is expressed as a sizeable change in the average amount of time spent outside...

The extinction of ecosystems and the mechanisms that support or limit species coexistence have long been studied by scientists. It has been shown that competition and cyclic dominance among species promote species coexistence, such as in the classic Rock-Paper-Scissors (RPS) game. However, individuals’ mobility and the underlying topology that defi...

This paper outlines a hybrid modeling approach to facilitate weather-based operation and energy optimization for the largest Italian wastewater treatment plant (WWTP). Two clustering methods, K-means algorithm and Gaussian mixture model (GMM) based on the expectation-maximization (EM) algorithm, were applied to an extensive data set of historical a...

This study offers an integrated modeling approach to achieve climate-resilient operation and energy optimization in the largest Italian WWTP. In the first step, using a large historical and meteorological data set, two clustering methods were implemented, K-means algorithm and Gaussian mixture model (GMM) by use of the expectation-maximization algo...

This study proposes an integrated approach by combining a pattern recognition technique and a process simulation model, to assess the impact of various climatic conditions on influent characteristics of the largest Italian wastewater treatment plant (WWTP) at Castiglione Torinese. Eight years (viz. 2009–2016) of historical influent data namely infl...

Seasonal influenza is a worldwide public health concern. Forecasting its dynamics can improve the management of public health regulations, resources and infrastructure, and eventually reduce mortality and the costs induced by influenza-related absenteism. In Belgium, a network of Sentinel General Practitioners (SGPs) is in place for the early detec...

Illustration of LLNA rule B3/S23. (PDF)

List of stopwords and preprocessing steps. (PDF)

Example of network construction. (PDF)

Analysis and selection of parameters time t and number of bins. a) Accuracy (%) in relation to the evolved time t. b) Accuracy (%) for different number of bins to compose the feature vector using the Lempel-Ziv complexity distributions (μL). Both experiments in a) and b) were made using rule B2478-S25 and the partial-dataset and classifier kNN with...

Network measurements for the three datasets. (XLSX)

The structural analysis of shape boundaries leads to the characterization of objects as well as to the understanding of shape properties. The literature on graphs and networks have contributed to the structural characterization of shapes with different theoretical approaches. We performed a study on the relationship between the shape architecture a...

Network science is an interdisciplinary field which provides an integrative approach for the study of complex systems. In recent years, network modeling has been used for the study of emergent phenomena in many real-world applications. Pattern recognition in networks has been drawing attention to the importance of network characterization, which ma...

The authorship attribution is a problem of considerable practical and technical interest. Several methods have been designed to infer the authorship of disputed documents in multiple contexts. While traditional statistical methods based solely on word counts and related measurements have provided a simple, yet effective solution in particular cases...

Different network models have been proposed along the last years inspired by real-world topologies. The characterization of these models implies the understanding of the underlying network phenomena, which accounts structural and dynamic properties. Several mathematical tools can be employed to characterize such properties as Cellular Automata (CA)...

Fuzzy logic can help reduce the difficulties faced by computational systems to represent and simulate the reasoning and the style adopted by radiologists in the process of medical image analysis. The study described in this paper consists of a new method that applies fuzzy logic concepts to improve the representation of features related to image de...

The use of computational techniques in the processing of histopathological images allows the study of the structural organization of tissues and their pathological changes. The overall objective of this work includes the proposal, the implementation and the evaluation of a methodology for the analysis of cervical intraepithelial neoplasia (CIN) fro...

Histopathology is considered one of the most important tools for diagnosis in medical routine. It is characterized by the study of structural and morphological changes of the cells, caused by diseases in biological tissues. The use of computational techniques in the processing of histopathological images allows the identification of structural elem...

A crucial step of the process of fuzzy systems modeling is the design of the membership functions related to the implemented fuzzy sets. Usually, this design is based on subjective decision of a domain specialist. In this paper, we describe a new method for the automatic design of membership functions, the Fuzzy-Omega method, which is based on stat...