Abstract
In the areas of machine-learning/big data, feature selection is normally regarded as a very important problem to be solved, as it directly impacts both data analysis and model creation. The problem of optimizing the selected features of a given dataset is not always trivial, however, throughout the years various ways to counter this optimization problem have been presented. This work presents how feature-selection fits in the larger context of multi-objective problems as well as a review of how both multi-objective evolutionary algorithms and metaheuristics are being used in order to solve feature selection problems.

Abstract
The daily stress we, as population, are subjected has negative impacts on physical and mental health, making people age faster. With the increase in life expectancy, the population started to search for ways to ensure they reach the older ages with a healthier and better lifestyle, resulting in an increase of interest and demand for thermalism and wellness tourism. Although thermalism is recognized to have several benefits with regard to the combat and prevention of certain pathologies, this has not yet been fully proven. So, in this paper, we presented a sensing system, capable of not only recording thermalist's biometric data, but also getting the data ready and prepared to be processed by any analytic tool with the aim of showing the impact that this sector has on the health of its practitioners.

Abstract
As the demand for rural tourism destinations increases, the relevancy of the tourism sector to the overall destination sustainability becomes even more significant, and the existing tourism operators transition their marketing initiatives to a digital nature, it is critical to understand how the global quality of the implemented e-marketing initiatives are impacting rural destinations image and brand equity, how they trigger tourists' intention to visit, and as a consequence foster overall destination sustainability. Hence, a novel conceptual model, drawn on Delone & McLean Information Systems Success model, Tan & Wu model on the relations between destination image and future visit behavior, and on the overall brand equity context presented by Verma, is proposed and the multiple implications on the presented artefact are discussed.

Abstract
Globally Important Agricultural Heritage Systems (GIAHS) territories are highly relevant to achieving sustainable lifestyles with human subsistence in balance with the ecosystem. The Barroso agro-sylvo-pastoral system is a clear example of this alignment between existing society, nature and natural resources, the environment, landscapes, and contextual heritage. Moreover, the sustainable use of existing natural resources, excellent environmental conditions, and breath-taking untouched landscapes represent a truly relevant factor towards the development of a region economy that is still greatly influenced by an engraved cultural, patrimonial, and agricultural heritage. Given the GIAHS classification attributed to that territory, the need arises to guarantee the existing environmental conditions. This context will allow the maintenance of the GIAHS classification, ensuring the quality of life in the region and stimulating its socio-economic development and overall sustainability. The present article describes a proposal for a digital ecosystem model aimed at the Barroso GIAHS, composed of four main functional hubs that actively interact with each other: smart environment, smart government, smart economy, and smart people. Based on wireless sensor networks, IoT, artificial intelligence, data analytics, and other technological solutions, this solution will allow real-time control of the territory's environmental conditions and develop more efficient and well-supported management and governance.

Abstract
When talking about Cybersecurity, particularly in security incident response plan and processes it is very common and relevant to talk about the ability to detect malicious or suspicious activities and behavior as soon as possible, in other words, in this domain, in Cybersecurity everyone wants to reduce the Mean time to detect (MTTD) or Mean time to respond (MTTR) a potential security incident. The use of Cyber Threat Intelligence CTI indicators can contribute to the reduction of the mean time to detect threats and consequently directly influence the time to response, however there are different types of Cyber Threat Intelligence that serve different purposes. The objective of the study is the development of a reference architecture to support and process data from the most diverse type of data sources in terms of Cyber Threat Intelligence, for example using the combination data from Open Source Intelligence - OSINT sources and honeypots, taking into consideration the advantages and disadvantages of each of these types of data sources to correlate them with each other in order to increase the trust and reliability of the relevant indicators that can be used by security analysts in incident response processes. This paper presents the proposed work for a PhD thesis in Web Science and Technology, scheduled for completion in July 2023. This doctoral thesis falls within the area of Computer Engineering, with applicability in the domain of Cybersecurity and consequently in the subdomain of Threat Intelligence. The research project is in the state-of-the-art study phase. It is expected that the participation in this Doctoral Symposium will provide potential comments that can enhance the growth and complement the ongoing research work.

Abstract
The Accessibility Requirements Tool for Information and Communication Technologies (FRATIC) was developed within the work of a doctoral project, at the University of Tras-os-Montes and Alto Douro, and may be used at various stages of public procurement processes as well as projects and developments that include ICT products and services. This tool helps to consult, determine and assess the accessibility requirements for ICT products and services in European Standard EN 301 549 that supports the legislation in the field of public procurement for the countries of the European Union - Directive 2014/24/EU. This study focuses on the standardized usability and accessibility features evaluation of the FRATIC prototype, based on ISO 9241-11 metrics, other usability and accessibility evaluation criteria, as well as various standardized measurement tools and methods - such as Single Ease Question (SEQ) and System Usability Scale (SUS) - after conducting usability tests and interviews with 25 experts in the fields of accessibility, assistive technologies, and public procurement.