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Publications (217)
The railway sector has witnessed a significant surge in condition-based maintenance, thanks to the proliferation of sensing technologies and data-driven methodologies, such as machine learning. However, despite the plethora of algorithms designed to detect and classify track irregularities and wheel out-of-roundness, they often fall short when put...
The complexity associated with groups of tourists led to the emergence of Group Recommender Systems (GRS) for tourism. But if generating recommendations for small groups is a complex task, to provide them to large and occasional groups is even more. This complexity is especially due to the group’s heterogeinity, conflicting preferences, the informa...
Multimorbidity is a common condition among cancer patients, resulting in increased complexity of care and risk of negative outcomes. This study aims to use clustering analysis to identify and characterize multimorbidity patterns among hospitalized prostate cancer patients in Portugal. This is a retrospective observational study using inpatient data...
Poor and sedentary lifestyles combined with bad dietary habits have an impact on our health. Nowadays, diet-related diseases have become a major public health issue, threatening the sustainability of healthcare systems, and new strategies to promote better food intake are now being explored. In this context, the use of ontologies has gained importa...
The widespread of distributed renewable energy is leading to an increased need for advanced energy management solutions in buildings. The variability of generation needs to be balanced by consumer flexibility, which needs to be accomplished by keeping the consumption cost as low as possible, while guaranteeing consumer comfort. This paper proposes...
Most mobile health (mHealth) decision support systems currently available for chronic obstructive respiratory diseases (CORDs) are not supported by clinical evidence or lack clinical validation. The development of the knowledge base that will feed the clinical decision support system is a crucial step that involves the collection and systematizatio...
The complexity associated to group recommendations needs strategies to mitigate several problems, such as the group’s heterogeinity and conflicting preferences, the emotional contagion phenomenon, the cold-start problem, and the group members’ needs and concerns while providing recommendations that satisfy all members at once. In this demonstration...
The amount of information accessible to businesses grows as more individuals get access to the internet. This information can be used by businesses to make corporate decisions that can highly affect them. E-commerce is the result of businesses starting to export their operations to the internet as a result of taking advantage of this reality. To he...
Type 2 diabetic patients benefit significantly if the disease is well controlled through behavioral changes, namely adopting a healthy lifestyle. Currently, there is some evidence that technological strategies can help patient self-management. However, few studies have specifically targeted individuals who solely engage in automatic and personalize...
The emergence of the Industry 4.0 trend brings automation and data exchange to industrial manufacturing. Using computational systems and IoT devices allows businesses to collect and deal with vast volumes of sensorial and business process data. The growing and proliferation of big data and machine learning technologies enable strategic decisions ba...
The application of machine learning (ML) algorithms to electronic health records (EHR) data allows the achievement of data-driven insights on various clinical problems and the development of clinical decision support (CDS) systems to improve patient care. However, data governance and privacy barriers hinder the use of data from multiple sources, es...
This short paper describes a remote monitoring platform proposed in the Inno4health project. The platform aims to guide patients and clinicians during the treatment of lower limb vascular disorders, namely, to correct abnormal foot pressure and temperature to prevent diabetic foot ulcers and to monitor interface pressure, leg position and elevation...
To travel in leisure is an emotional experience, and therefore, the more the information about the tourist is known, the more the personalized recommendations of places and attractions can be made. But if to provide recommendations to a tourist is complex, to provide them to a group is even more. The emergence of personality computing and personali...
Background
The global percentage of older people has increased significantly over the last decades. Information and communication technologies have become essential to develop and motivate them to pursue healthier ways of living. This paper examines a personalized coaching health care service designed to maintain living conditions and active aging...
BACKGROUND
The global percentage of older people has increased significantly over the last decades. Information and communication technologies have become essential to develop and motivate them to pursue healthier ways of living. This paper examines a personalized coaching health care service designed to maintain living conditions and active aging...
In this paper, we present an architecture for time-constrained ontology evolution comprised of two tools: the J2OIM (JSON to Ontology Instance Mapper), which uses JavaScript Object Notation (JSON) objects to populate an ontology, and TICO (Time Constrained instance-guided Ontology evolution), which analyses streams or batches of instances as they a...
Diabetes mellitus type 2 (DMT2) is an increasing worrying disease that has become a major public health challenge over the last decades. It can have serious health consequences and lead to long-term health complications that greatly impact the quality of life of the diabetic patient. Therefore, it becomes vital to define supportive mechanisms that...
UNSTRUCTURED
Most mHealth decision support systems currently available for chronic obstructive respiratory diseases (CORD) are not supported by clinical evidence and/or lack clinical validation. The development of the knowledge base that will feed the clinical decision support system (CDSS) is a crucial step that involves the collection and systema...
Group decision support systems (GDSSs) have been widely studied over the recent decades. The Web-based group decision support systems appeared to support the group decision-making process by creating the conditions for it to be effective, allowing the management and participation in the process to be carried out from any place and at any time. In G...
To address the current burdens in the healthcare of patients with vascular diseases, the Portuguese consortium of the Inno4Health project is currently developing a remote monitoring platform that aims to support the self-management of patients with vascular diseases. With the continuous remote monitoring of patients, it is intended that the platfor...
The industry 4.0 paradigm, with a wide range of sensors, IoT and big data technologies, has facilitated the assessment of faults in complex mechanical systems. In this paper, a fault diagnosis strategy is presented for opportunistic condition-based maintenance decisions of a single failure mode. Focusing on the challenges of the fault identificatio...
Diabetes is a chronic disease characterized by high blood glucose levels. This condition has a strong impact on the heart, eyes, and even kidneys, leading to several long-term health problems. It is estimated that about 422 million people live with this condition and over 1.5 million deaths per year are related to diabetes. Although there is no cur...
To provide recommendations to groups of tourists is a very complex task, especially due to conflicting preferences and the group’s heterogeneity. The introduction of Multi-Agent Systems (MAS) can be the leverage we are looking for. Their autonomy, isolated state, distribution, and loose coupling make them suitable for the development of distributed...
Diabetes is a chronic metabolic disease characterized by high blood sugar levels, which over time leads to body complications that can affect the heart, blood vessels, eyes, kidneys, and nerves. To control this disease, the use of applications for tracking and monitoring vital signs have been used frequently. These support systems improve their qua...
Lifestyle, poor diet, stress, among other factors, strongly contribute to aggravate people’s health problems, such as diabetes and high blood pressure. Some of these problems could be avoided if some of the essential recommendations for the practice of a healthy lifestyle were followed. The paper proposes a solution designed for diabetic people to...
The aim of this study is to examine the effective communication process during shift changes in a transitional care unit; communication should be clear, concise and relevant. The caregivers should be able to understand their mates needs and wants, and they should understand what is happening. Indeed, it will be study if there is inconsistency in th...
Businesses that are growing by supplying more services or reaching more customers, might need to create or relocate a facility location to expand their geographical coverage and improve their services. This decision is complex, and it is crucial to analyse their client locations, their journeys and be aware of the factors that may affect their geog...
System analyses deal with interrelationships between different variables that keep the system in balance. In many analysis of complex thinking, a system is viewed as a complex unit in which the ‘whole’ is not reduced to the ‘sum’ of its parts; the system becomes an ambiguous item because it consists of several entities that interact with unforeseen...
To travel in leisure is an emotional experience, and therefore, the more information about the tourist is known, the more personalized recommendations of places and attractions can be made. But if to provide recommendations to a tourist is complex, to provide them to a group is even more. The emergence of personality computing and personality-aware...
This paper presents LSHAD, an anomaly detection (AD) method based on Locality Sensitive Hashing (LSH), capable of dealing with large-scale datasets. The resulting algorithm is highly parallelizable and its implementation in Apache Spark further increases its ability to handle very large datasets. Moreover, the algorithm incorporates an automatic hy...
With the modernization of industry and introduction of IoT, maintenance practices have been moving from reactive to proactive and predictive approaches. The identification of faults often relies on the analysis of real-time data provided by streams and unstructured sources. Ontologies have been applied to the maintenance field in order to add a sem...
El presente artículo recoge las diferentes implicaciones que tienen los incentivos económicos externos en determinadas regiones frontera y periféricas. En el estudio se detallan casos de éxito en el que la inversión por parte de la UE ha sido clave para el desarrollo de la economía en esas zonas. Los resultados de este estudio conducen a concluir q...
Nowadays, the Industrial Internet promises to transform our world. The melding of the global industrial system that was made possible because of the Industrial Revolution, with the open computing and communication systems developed as part of the Internet Revolution, opens new frontiers to accelerate productivity, reduce inefficiency and waste, and...
In industrial manufacturing environments, a regular maintenance is crucial to ensure the production efficiency, since the occurrence of unexpected disturbances leads to a degradation of the system performance, causing the loss of productivity and business opportunities. In this context, the purpose of predictive maintenance has been receiving incre...
The need for adaptation led the industry to evolve into a new revolution, where connectivity, amount of data, new devices, stock reduction, personalization and production control gave rise to Industry 4.0. Predictive maintenance is based on historical data, models and knowledge of the domain in order to predict trends, patterns of behavior and corr...
In this paper we present a brief literature review on routing problems and decision support systems for fleet management. Problems such as the Travelling Salesman Problem and the Vehicle Routing problem are presented along with their most common solution methods. We also propose a decision support system prototype for the fleet management of a beer...
Recent technological advances have led to the development of numerous platforms for precision agriculture, which help farmers access detailed information and make the right decisions regarding the management of their farm. Adapting the application of chemicals to crop demands or estimating optimal irrigation duration, are just some possibilities of...
Digitalisation is key to increase competitiveness. This paper surveys the Digital Europe Programme as well as the Portuguese and Spanish national strategies. The role of the Digital Innovation Hubs to support the digital transition, as orchestrators and access points for the latest digital capacities, and the process to establish the European netwo...
When put into practice in the real world, predictive maintenance presents a set of challenges for fault detection and prognosis that are often overlooked in studies validated with data from controlled experiments, or numeric simulations. For this reason, this study aims to review the recent advancements in mechanical fault diagnosis and fault progn...
Argumentation-based dialogue models have shown to be appropriate for decision contexts in which it is intended to overcome the lack of interaction between decision-makers, either because they are dispersed, they are too many, or they are simply not even known. However, to support decision processes with argumentation-based dialogue models, it is ne...
The world ageing problem is prompting new sustainable ways to support elderly people. As such, it is important to promote personalized and intelligent ways to assure the active and healthy ageing of the population. Technological breakthroughs have led to the development of personalized healthcare systems, capable of monitoring and providing feedbac...
Predictive maintenance approaches result in shorter interventions, less downtime and less maintenance and production costs, leading to more sustainable manufacturing and increasing earnings. Machine learning and data mining approaches are now popular in this field, producing data-driven models that can provide insights regarding equipment behavior,...
The prevention of diseases considered a scourge of our society, as for example mental illness, particularly anxiety disorders and depressive states, is a primary and urgent goal today and a priority axis of the EU. Mental illness includes many clinical conditions associated with several changes that include limitations related with social interacti...
Decision making is an important part of our lives, especially in the context of an organization where decisions affect their business, and in this modern era, it is increasingly important to make the best decisions and increasingly difficult to get people together to make said decisions. Because of this, the importance of Group Decision Support Sys...
Predictive maintenance depends on sources of data analysed through machine learning and data mining algorithms to identify and predict potential fault states. However, sources of raw data lack a layer of semantic abstraction providing a consistent way of interpreting data. The use of ontologies to describe data from structured and unstructured sour...
Agent-based simulation tools have found many applications in the field of Power and Energy Systems, as they can model and analyze the complex synergies of dynamic and continuously evolving systems. While some studies have been done w.r.t. simulation and decision support for electricity markets and smart grids, there is still a generalized limitatio...
The demand and interest for personalized, efficient, and inexpensive healthcare solutions has significantly increased over the last decade to overcome the major limitations of existing traditional healthcare approaches. This new trend relies on the definition of intelligent mechanisms that can persuade the end-user to achieve health-related outcome...
Yearly population growth will lead to a significant increase in agricultural production in the coming years. Twenty-first century agricultural producers will be facing the challenge of achieving food security and efficiency. This must be achieved while ensuring sustainable agricultural systems and overcoming the problems posed by climate change, de...
Predictive maintenance often relies on the continuous monitorization of equipment behavior, generally provided by sensors or by the very equipment. Additional data from management software, including which materials are being used and what processes are executed on the equipment can be used to enrich the data streams and ontologies can be used to b...
Over the last decades, an increase in the ageing population and age-related diseases has been observed, with the increase in healthcare costs. As so, new solutions to provide more efficient and affordable support to this group of patients are needed. Such solutions should never discard the user and instead should focus on promoting more healthy lif...
Information technologies are intrinsically connected to the manufacturing processes, with more data generated each second. To efficiently operate machines, users must sort out information that is relevant to them in specific moments and contexts. In this paper, we propose an architecture that combines context – e.g. location, type of order, availab...
Group decision making is an area that has been studied over the years. Group Decision Support Systems emerged with the aim of supporting decision makers in group decision-making processes. In order to properly support decision-makers these days, it is essential that GDSS provide mechanisms to properly support decision-makers. The application of Mac...
The digital age is upon us and challenges many of today’s businesses. To succeed with digitalization, it is needed a well-integrated enterprise and Information Technology organization that works seamlessly and thrives towards common goals. This is easy to say, but harder to achieve. Digital Transformation is the integration of digital technology in...
Critical infrastructures, like airports and hospitals, provide essential services and are considered huge investments in any country. Ensuring the security of these critical infrastructures is a necessity in every possible aspect. These infrastructures, however, currently make use of different technological solutions with distinct security levels,...
Cyber security is a critical area in computer systems especially when dealing with sensitive data. At present, it is becoming increasingly important to assure that computer systems are secured from attacks due to modern society dependence from those systems. To prevent these attacks, nowadays most organizations make use of anomaly-based intrusion d...
The proportion of the world’s population growing older is rapidly increasing over the last decades. With the recent progresses seen in information and communication technologies, there have been great concerns about developing personalized healthcare services that can ensure the living conditions and active aging of the elderly people. Among these...
Transformative computing in the fourth-generation industrialization, receives all signals and all sequences from sensing devices under artificial intelligence in wireless networking. Then the system has to combine them and make a useful information for human. In an industrial building or in a home, many electronic devices would be using and they ma...
This work has as its main goal the investigation and experimentation on automatic generation of routes for tourists and visitors of points of interest, considering the knowledge of the routes, the profile of the visitor and the context awareness of the tour. The context of a trip can be taken through various sources of information, such as the loca...
To support Group Decision-Making processes when participants are dispersed is a complex task. The biggest challenges are related to communication limitations that impede decision-makers to take advantage of the benefits associated with face-to-face Group Decision-Making processes. Several approaches that intend to aid dispersed groups attaining dec...
With such a noticeable increase in the number of people with chronic obstructive respiratory diseases the effectiveness of traditional healthcare systems has worsened significantly over the last years. There is an opportunity to develop low cost and personalized solutions that can empower patients to self-manage and self-monitor their health condit...
We are living a change of paradigm regarding decision-making. On the one hand, there is a growing need to make decisions in group at both professional and personal levels, on the other hand, it is increasingly difficult for decision-makers to meet at the same place and at the same time. The Web-based Group Decision Support Systems intend to overcom...
The industrial world is amid a revolution, titled Industry 4.0, which entails the use of IoT technologies to enable the exchange of information between sensors, industrial machines and end users. A major issue in many industrial sectors is production inefficiency, with process downtime representing a loss for companies. Predictive maintenance, wher...
We are living a change of paradigm regarding decision-making. On the one hand, there is a growing need to make decisions in group at both professional and personal levels, on the other hand, it is increasingly difficult for decision-makers to meet at the same place and at the same time. The Web-based Group Decision Support Systems intend to overcom...
The motivation for this article arises from the security, complexity and interoperability challenges in cyber-physical systems (CPS) especially in energy and mobility domains. Handling peak consumption hours and balancing power levels in the energy grids are becoming more and more expensive for the energy sector, energy intensive industry and consu...
Over the last decades web and mobile technologies are increasingly being used in sports, especially in soccer, but none of them seems to allow to prevent injuries. However, training systems for young athletes do not have, for the most part, learning abilities in order to adapt, evolve and find new training recommendations. It is in this context whi...
Agent-based technologies are often used including existing web services. The outputs of some services are also frequently used as inputs for other services, including other MAS. However, while agent-based technologies can be used to provide services, these are not described using the same semantic web technologies web services use, which makes it d...