MEDES

The Internet of Things (IoT) is among the latest Information and Communication Technologies (ICT) developments that is making the boundaries between reality and fiction vanish. According to Mark Weiser, "...The most profound technologies are those that ...

The k Nearest-Neighbor (k-NN) query is a common spatial query that appears in several big data applications. Typically, GPU devices have much larger numbers of processing cores than CPUs and faster device memory than main memory accessed by CPUs, thus, ...

Spatial information retrieval is a common task of digital ecosystems due to the popularity of collecting and storing spatial information and phenomena in the world of the Internet of Things (IoT). Spatial relationships play an important role in this ...

There are over 1900 cryptocurrencies trading in the market as of September 2020 and the number is rapidly growing. In the current crypto scene, cryptocurrencies are seen as investment vehicles by many, yet every crypto asset is designed to operate in a ...

Effective retrieval of jurisprudence (case-law) is imperative to achieve consistency and predictability for any legal system. In this work, we propose and proceed to an empirical evaluation of a framework for jurisprudence retrieval of the Brazilian ...

In this paper, we describe the design and a prototypical implementation of an open system (ASPires) for the early prevention and early detection of forest fires. Forest fires cause huge, constantly increasing material damage and immaterial costs to ...

The pervasive diffusion of Machine Learning (ML) in many critical domains and application scenarios has revolutionized implementation and working of modern IT systems. The behavior of modern systems often depends on the behavior of ML models, which are ...

As the mainstream computing technology is entering into a post petascale era, the number and complexity of their computational components is on a sharp increase. With the increased pressure to pack more components per rack, the power and system ...

The need for a variety of auxiliary analytical tools to enhance marine safety and marine status awareness has been expressed by various platforms. The information that has been published while cruising is a rich resource for movement analysis of ships. ...

Popular microblogging platforms (such as Twitter) offer a fertile ground for open communication among humans, however, they also attract many bots and automated accounts "disguised" as human users. Typically, such accounts favor malicious activities ...

Knowledge graphs are exploited in criminal investigation to integrate heterogeneous data sources and scale up the operational efficiency of enquiry protocols. Using a declarative perspective, protocols can be viewed as a set of data ingestion procedures ...

Machine learning methods have proven to be effective in analyzing vast amounts of data in various formats to obtain patterns, detect trends, gain insight, and predict outcomes based on historical data. However, training models from scratch across ...

Big Data processing involves handling large and complex data sets, incorporating different tools and frameworks as well as other processes that help organisations make sense of their data collected from various sources. This set of operations, referred ...

For a given specific machine learning task, very often several machine learning algorithms and their right configurations are tested in a trial-and-error approach, until an adequate solution is found. This wastes human resources for constructing ...

In this paper, Big-Data Driven Digital Ecosystem Framework (BDDDEF) for Online Predictive Control Systems is created. The proposed framework consists of different Agents, where each Agent is a distributed and virtual service. In our work, we provide ...

In the Internet of Things (IoT), mutation aims to enhance functionality and survivability of a thing in the context of dynamic environments by allowing the thing to satisfy a need or seize a potential opportunity. In this paper, we propose a framework ...

This paper proposes a Secure and Privacy-preserving Tracing (SPT) mechanism in the Fog Computing (FC) network. The proposed SPT mechanism employs a Counting Bloom Filter (CBF) method as a tree framework (CBF-tree) to model a secure tracing system in the ...

New technologies and approaches lead to the Internet of Things (IoT) paradigm. Such a paradigm enables the engineering of more autonomous and smarter software systems solutions. Due to its multidisciplinary nature, it involves several knowledge areas ...

In this paper, we complement the research results provided with the OO-XAHM (Object-Oriented XML Adaptive Hypermedia Model), a state-of-the-art proposal for supporting adaptation features of the Web. In particular, in this contribution we provide: (i) ...

Population-based metaheuristics -such as Evolutionary Algorithms (EAs)- are one of the most popular methods for solving highly complex and large-scale optimization problems. Nevertheless, finding an adequate solution with such approaches often requires ...

The Latent Dirichlet Allocation (LDA) model [18] was originally developed and utilised for document modeling and topic extraction in Information Retrieval. To design high quality domain ontologies, effective and usable methodologies are needed to ...

Over the last decade, the number of research and development projects on sensor network technology has grown exponentially. Events detection is among these research fields, it allows the monitoring of the environment. To build an interpretation to these ...

The challenge of monitoring and event response management of a high performance computing facility grows significantly as the facilities employs and orchestrates more complex and heterogeneous systems and infrastructure. As the computational components ...

In this work we address the problem of critical source selection in social sensing. We propose an approach to the ranking of information streams, which is aware of the interdependence among streams (redundancy and synergies), of the cost of individual ...