Abstract

Abstract
The purpose of this work is to address the imageCLEF 2019 coral challenge - to develop a system for the detection and identification of substrates in coral images. Initially a revision of the 13 classes was carried out by identifying a number of sub-classes for some substrates. Four features were considered - 3 related to greyscale intensity (1) and texture (2), and 1 related to the colour content. The Breiman's Random forest algorithm was used to classify the corals in one of 13 classes defined. A classification accuracy of about 49% was obtained.

Abstract
Convolutional Neural Networks (CNN) have become the gold standard in many visual recognition tasks including medical applications. Due to their high variance, however, these models are prone to over-fit the data they are trained on. To mitigate this problem, one of the most common strategies, is to perform data augmentation. Rotation, scaling and translation are common operations. In this work we propose an alternative method to rotation-based data augmentation where the rotation transformation is performed inside the CNN architecture. In each training batch the weights of all convolutional layers are rotated by the same random angle. We validate our proposed method empirically showing its usefulness under different scenarios.

Abstract
The ageing population and the increasing longevity of individuals is a challenging reality for healthcaretoday. Longevity often leads to increased dependence and the need for continued care, whichis often left to informal caregivers given the inability of the elderly care network to provide. The informal care provided to the dependent elderly occurs either at the caregiver’s or the elderly person’s home. Technology application in healthcare has been attracting the attention of engineers for a long time, especially in providing support for health recovery and maintaining therapy practices. Due to major advances in technology, particularly in movement capture optic systems and information extraction through digital image analysis, support systems are being created to monitorhow therapeutic plans are carried out, as well as to evaluate people’s physical recovery or to assist healthcare professionals and informal caregiver to provide care for dependent elders. This paper reports on the accomplishments of a project with the general objective of using information and communication technologies to develop a prototype for a system focused on monitoring and assisting the execution of a therapeutic plan integrating physical mobilization and medication.

Abstract
Advanced Traveller Information Systems (ATIS) have seen a steady increase in popularity in the last decades among urban users. By providing travellers with relevant information, these systems have the ability to considerably improve traffic flow, but are limited by their penetration rate among the city's population. In this work we put forward HERMES1, a tool to facilitate the evaluation of road networks through simulation with different ATIS and with different levels of information percolation among users. The usefulness of such a tool stems from the quantification of the extent to which an ATIS can improve total travel time and road utilisation by means of experimenting with simulation scenarios. This tool operates at a mesoscopic level, in which single users may be represented independently from each other, nonetheless are rather considered to operate at their macroscopic interactions with the network. We also illustrate example use cases for the tool on the motorway network between the Portuguese cities of Lisbon and Porto. © 2019 IEEE.

Abstract
Today, the growth of telecommunication technology and increase the number of subscribers has led to a competition among Internet Service Provider companies. However, the population and resources used in the world are increasing, which will affect the sustainability of life and any business. This research aims at combining sustainability with a business model that creates value for these companies and the customers. Furthermore, one of the defects to these firms is the lack of a particular model for choosing services provided with a sustainable business model to the customers. In this paper, it is tried to identify current services and effectively sustainable indexes for choosing a service by analyzing sustainability. The business model canvas was chosen as the initial model to determine related sustainable indexes. Then a questionnaire was provided to experts in order to gather their ideas. After that, the mathematical multinational decision model was determined and solved by GAMS, based on the survey study. The group of services was chosen and provided due to the sustainable business model by focusing on the profitability of these companies. Flexibility and expansion under the specific circumstances of this model with the company's strategy are one of its advantages.