2022
Autores
Longras, A; Mendes Pereira, TS; Amaral, A;
Publicação
Internet of Everything - The First EAI International Conference, IoECon 2022, Guimarães, Portugal, September 16-17, 2022, Proceedings
Abstract
Medical devices are rapidly evolving and becoming more interconnected with healthcare networks, overcoming resource constraints, and increasingly focused on patient well-being and needs. This work intends to identify future research themes in the area of cybersecurity in health by surveying the articles being developed and identifying their current limitations and future work. The developed analysis was based on the publications with the highest number of citations, enabling us to find several challenges and restrictions such as integrating devices in systems. Innovations and the emergence of new technologies with inherent security vulnerabilities, will continue to evolve, escalating the attackers interest in exploiting unknown cybersecurity risks within healthcare. It is mandatory to consider cybersecurity risks since the conception of the devices to reduce security flaws, ensure the patients with a better quality of life, and guarantee information security properties. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
2022
Autores
Barros, T; Duarte, N; Machado, M;
Publicação
12TH INTERNATIONAL SCIENTIFIC CONFERENCE BUSINESS AND MANAGEMENT 2022
Abstract
Communication is crucial. Several authors emphasize the role of the project managers' communication with teams, and the importance of the project management teams' on the success of projects. The purpose of this paper is to analyze the influence of the communication styles of the project managers' on the teams' motivation and consequently on the success of projects. Therefore, the literature was reviewed and exploratory research was developed using a qualitative methodology (content analysis of eight semi-structured interviews). A conceptual framework was developed. The results suggest that communication style and leadership are related and impact teams' motivation and consequently on projects' success.
2022
Autores
Grzywinska-Rapca, M; Duarte, N; Kulli, A; Enkelejda, G;
Publicação
Central European Economic Journal
Abstract
2022
Autores
Silva, F; Ferreira, R; Castro, A; Pinto, P; Ramos, J;
Publicação
METHODOLOGIES AND INTELLIGENT SYSTEMS FOR TECHNOLOGY ENHANCED LEARNING
Abstract
Gamification is a topic which aims to apply game elements to real world tasks, that results in a pleasant influence over a user behaviour towards an objective. Learning is one of the fields where gamification has been implemented and experimented to motivate students and improve their learning process. The first iterations account for the use of game elements such as points, levels and badges or achievements based on task completion according to rules set before. The learning tasks in this approach are not necessarily changed or take advantage of new forms of interactions and guidance. In this article we introduce the application of virtual reality, augmented reality, and machine learning as tools to improve upon the standard application of gamification, making the experience more immersive to the user. We hope to advance gamification to account for more elements, such as digital twins and digital aids in a learning application. In this article we detail possible scenarios for the application of virtual reality and augmented reality combined with machine learning in serious games and learning scenarios.
2022
Autores
Carneiro, D; Sousa, M; Palumbo, G; Guimaraes, M; Carvalho, M; Novais, P;
Publicação
INFORMATION SYSTEMS AND TECHNOLOGIES, WORLDCIST 2022, VOL 1
Abstract
Machine Learning has been evolving rapidly over the past years, with new algorithms and approaches being devised to solve the challenges that the new properties of data pose. Specifically, algorithms must now learn continuously and in real time, from very large and possibly distributed sets of data. In this paper we describe a learning system that tackles some of these novel challenges. It learns and adapts in realtime by continuously incorporating user feedback, in a fully autonomous way. Moreover, it allows for users to manage features (e.g. add, edit, remove), reflecting these changes on-the-fly in the Machine Learning pipeline. The paper describes some of the main functionalities of the system, which despite being of general-purpose, is being developed in the context of a project in the domain of financial fraud detection.
2022
Autores
Rosa, L; Guimarães, M; Carneiro, D; Silva, F; Analide, C;
Publicação
Workshops at 18th International Conference on Intelligent Environments (IE2022), Biarritz, France, 20-23 June 2022.
Abstract
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.