Victor Alves
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Victor Alves has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Henrique Vicente
Universidade de Évora
6 shared publications - Jorge Ribeiro
Instituto Politécnico de Viana do Castelo
6 shared publications - José Neves
Universidade do Minho
6 shared publications - Florentino Fdez-Riverola
CINBIO, Universidade de Vigo
3 shared publications - António Costa
Universidade do Minho
1 shared publication - Dinis Vicente
Instituto Politécnico de Leiria
1 shared publication
Latest Publications
- 1 April 2025
- Published by Springer Nature
- p. 31-42
At the Heartbeat of the Smart City
- 12 March 2025
- Published by Springer Nature
- p. 210-221
Advancing Smart Urban Futures in the Healthcare Sector
- 12 March 2025
- Published by Springer Nature
- p. 210-221
Advancing Smart Urban Futures in the Healthcare Sector
- Open Access
- 1 May 2024
- Published by MDPI AG in Algorithms
- Vol. 17 (5) , 192
Encouraging Eco-Innovative Urban Development
This article explores the intertwining connections among artificial intelligence, machine learning, digital transformation, and computational sustainability, detailing how these elements jointly empower citizens within a smart city framework. As technological advancement accelerates, smart cities harness these innovations to improve residents’ quality of life. Artificial intelligence and machine learning act as data analysis powerhouses, making urban living more personalized, efficient, and automated, and are pivotal in managing complex urban infrastructures, anticipating societal requirements, and averting potential crises. Digital transformation transforms city operations by weaving digital technology into every facet of urban life, enhancing value delivery to citizens. Computational sustainability, a fundamental goal for smart cities, harnesses artificial intelligence, machine learning, and digital resources to forge more environmentally responsible cities, minimize ecological impact, and nurture sustainable development. The synergy of these technologies empowers residents to make well-informed choices, actively engage in their communities, and adopt sustainable lifestyles. This discussion illuminates the mechanisms and implications of these interconnections for future urban existence, ultimately focusing on empowering citizens in smart cities.
- 1 May 2024
- Published by MDPI AG in Algorithms
- Vol. 17 (5) , 192
Open AccessEncouraging Eco-Innovative Urban Development
This article explores the intertwining connections among artificial intelligence, machine learning, digital transformation, and computational sustainability, detailing how these elements jointly empower citizens within a smart city framework. As technological advancement accelerates, smart cities harness these innovations to improve residents’ quality of life. Artificial intelligence and machine learning act as data analysis powerhouses, making urban living more personalized, efficient, and automated, and are pivotal in managing complex urban infrastructures, anticipating societal requirements, and averting potential crises. Digital transformation transforms city operations by weaving digital technology into every facet of urban life, enhancing value delivery to citizens. Computational sustainability, a fundamental goal for smart cities, harnesses artificial intelligence, machine learning, and digital resources to forge more environmentally responsible cities, minimize ecological impact, and nurture sustainable development. The synergy of these technologies empowers residents to make well-informed choices, actively engage in their communities, and adopt sustainable lifestyles. This discussion illuminates the mechanisms and implications of these interconnections for future urban existence, ultimately focusing on empowering citizens in smart cities.
- 9 April 2021
- Published by Springer Nature
- p. 63-77
A Multi-valued Logic Assessment of Organizational Performance via Workforce Social Networking
- 9 April 2021
- Published by Springer Nature
- p. 63-77
A Multi-valued Logic Assessment of Organizational Performance via Workforce Social Networking
- 18 May 2020
- Published by Springer Nature
- p. 452-465
A Thermodynamic Assessment of the Cyber Security Risk in Healthcare Facilities
- 18 May 2020
- Published by Springer Nature
- p. 452-465
A Thermodynamic Assessment of the Cyber Security Risk in Healthcare Facilities
- 3 June 2018
- Published by Springer Nature
- p. 10-16
Planning, Managing and Monitoring Technological Security Infrastructures
- 3 June 2018
- Published by Springer Nature
- p. 10-16
Planning, Managing and Monitoring Technological Security Infrastructures