Yacine Rezgui
Dados Biográficos
| ID | 1406217 |
|---|---|
| NOME | Yacine Rezgui |
| PRENOMES | Yacine |
| SOBRENOME | Rezgui |
| ASSINATURA | REZGUI Y |
| AFILIAÇÕES | Cardiff University |
| ORCID | 0000-0002-5711-8400 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 12 |
| TOTAL DE CITAÇÕES | 4 |
| TOTAL COMO AUTOR | 12 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2012 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
A Critical Review of Infrastructure Resilience in Fast-Growing, Hot, and Arid Cities of the Global South
Urban growth in the Global South is accelerating, with fast-expanding cities in hot and arid regions facing mounting pressures from water scarcity, ex- treme heat, and widening socio-spatial inequalities. Existing resilience frame- works remain constrained by static indicators, limited cultural adaptation, and weak accommodation of informality and hybrid governance. This study conducts a structured review of recent peer-reviewed literature on urb…
Machine learning and Natural Language Processing of social media data for event detection in smart cities
Social media data analysis in a smart city context can represent an efficacious instrument to inform decision making. The manuscript strives to leverage the power of Natural Language Processing (NLP) techniques applied to Twitter messages using supervised learning to achieve real-time automated event detection in smart cities. A semantic-based taxonomy of risks is devised to discover and analyse associated events from data streams, with a view to…
Next-generation energy systems for sustainable smart cities
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while improving grid stability and meeting service demand. This is possible by adopting next-generation energy systems, which leverage artificial intelligence, the Internet of things (IoT), and communication technologies to collect and analyze big data in real-time and effectively run city services. However, training machine learning algorithms to perform various ene…
An intelligent semantic system for real-time demand response management of a thermal grid
Establishing domestic low energy consumption reference levels for Saudi Arabia and the Wider Middle Eastern Region
Towards the innovation of an integrated ‘One-Stop-Shop’ online services utility management
Upscaling energy control from building to districts
Due to the complexity and increasing decentralisation of the energy infrastructure, as well as growing penetration of renewable generation and proliferation of energy prosumers, the way in which energy consumption in buildings is managed must change. Buildings need to be considered as active participants in a complex and wider district-level energy landscape. To achieve this, the authors argue the need for a new generation of energy control syste…
Electrical load forecasting models
Public perceptions and attitudes to biological risks
Saudi Arabia has experienced frequent occurrences of biological disasters due to a wide range of generator factors, including natural disasters and epidemics. A national survey (n=1,164) was conducted across 13 regions of Saudi Arabia to examine public perceptions to the risk of a biological disaster. The primary results reveal: (a) a degree of knowledge about biological threats such as SARS and H5N1 flu, despite the lack of individual experience…
An investigation into factors influencing domestic energy consumption in an energy subsidized developing economy
The development of sustainable assessment method for Saudi Arabia built environment
Sustainable building assessment tool development approach
Sustainable building assessment tool development approach
The development of sustainable assessment method for Saudi Arabia built environment
An investigation into factors influencing domestic energy consumption in an energy subsidized developing economy
Public perceptions and attitudes to biological risks
Saudi Arabia has experienced frequent occurrences of biological disasters due to a wide range of generator factors, including natural disasters and epidemics. A national survey (n=1,164) was conducted across 13 regions of Saudi Arabia to examine public perceptions to the risk of a biological disaster. The primary results reveal: (a) a degree of knowledge about biological threats such as SARS and H5N1 flu, despite the lack of individual experience…
Establishing domestic low energy consumption reference levels for Saudi Arabia and the Wider Middle Eastern Region
Towards the innovation of an integrated ‘One-Stop-Shop’ online services utility management
Upscaling energy control from building to districts
Due to the complexity and increasing decentralisation of the energy infrastructure, as well as growing penetration of renewable generation and proliferation of energy prosumers, the way in which energy consumption in buildings is managed must change. Buildings need to be considered as active participants in a complex and wider district-level energy landscape. To achieve this, the authors argue the need for a new generation of energy control syste…
Electrical load forecasting models
An intelligent semantic system for real-time demand response management of a thermal grid
Machine learning and Natural Language Processing of social media data for event detection in smart cities
Social media data analysis in a smart city context can represent an efficacious instrument to inform decision making. The manuscript strives to leverage the power of Natural Language Processing (NLP) techniques applied to Twitter messages using supervised learning to achieve real-time automated event detection in smart cities. A semantic-based taxonomy of risks is devised to discover and analyse associated events from data streams, with a view to…
Next-generation energy systems for sustainable smart cities
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while improving grid stability and meeting service demand. This is possible by adopting next-generation energy systems, which leverage artificial intelligence, the Internet of things (IoT), and communication technologies to collect and analyze big data in real-time and effectively run city services. However, training machine learning algorithms to perform various ene…
A Critical Review of Infrastructure Resilience in Fast-Growing, Hot, and Arid Cities of the Global South
Urban growth in the Global South is accelerating, with fast-expanding cities in hot and arid regions facing mounting pressures from water scarcity, ex- treme heat, and widening socio-spatial inequalities. Existing resilience frame- works remain constrained by static indicators, limited cultural adaptation, and weak accommodation of informality and hybrid governance. This study conducts a structured review of recent peer-reviewed literature on urb…
Computer Science (8 obras) · Engineering (7 obras) · Artificial Intelligence (5 obras) · Business (5 obras) · Geography (5 obras) · Building Energy and Comfort Optimization (4 obras) · Environmental planning (4 obras) · Environmental resource management (4 obras) · Environmental Science (4 obras) · Sustainable Building Design and Assessment (4 obras)