Risk protection for cultural heritage and historic centres: Current knowledge and further research needs
X Romao, C Bertolin - International Journal of Disaster Risk Reduction, 2022 - Elsevier
This article introduces the Special Issue on Risk Protection for Cultural Heritage and Historic
Centres. The article starts by reviewing the gaps in knowledge and practice related to …
Centres. The article starts by reviewing the gaps in knowledge and practice related to …
Designing for hybrid intelligence: A taxonomy and survey of crowd-machine interaction
With the widespread availability and pervasiveness of artificial intelligence (AI) in many
application areas across the globe, the role of crowdsourcing has seen an upsurge in terms …
application areas across the globe, the role of crowdsourcing has seen an upsurge in terms …
Crowdnas: A crowd-guided neural architecture searching approach to disaster damage assessment
Disaster damage assessment (DDA) has emerged as an important application in disaster
response and management, which aims to assess the damage severity of an affected area …
response and management, which aims to assess the damage severity of an affected area …
A probabilistic crowd–AI framework for reducing uncertainty in postdisaster building damage assessment
Damage assessment of the built infrastructure forms a critical step in post-disaster response
as it is necessary for estimating the severity and extent of the disaster impact, thereby …
as it is necessary for estimating the severity and extent of the disaster impact, thereby …
Crowdoptim: A crowd-driven neural network hyperparameter optimization approach to ai-based smart urban sensing
AI-based smart urban sensing (ASUS) has emerged as a scalable and pervasive application
paradigm in smart city planning and management that aims to automatically assess the …
paradigm in smart city planning and management that aims to automatically assess the …
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach
Motivated by the recent advances in Internet and communication techniques and the
proliferation of online social media, social sensing has emerged as a new sensing paradigm …
proliferation of online social media, social sensing has emerged as a new sensing paradigm …
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing
Social sensing has emerged as a pervasive and scalable sensing paradigm to obtain timely
information of the physical world from" human sensors". In this paper, we study a new …
information of the physical world from" human sensors". In this paper, we study a new …
Research on measuring methods and influencing factors of spatial damage degree of historic sites: a case study of three ancient cities in Shanxi, China
B Zhao, W Han - Buildings, 2023 - mdpi.com
Historic sites are important components of every city's cultural history because they preserve
rich historical knowledge and distinctive values passed down from previous generations to …
rich historical knowledge and distinctive values passed down from previous generations to …
A crowd-AI collaborative duo relational graph learning framework towards social impact aware photo classification
In artificial intelligence (AI), negative social impact (NSI) represents the negative effect on
the society as a result of mistakes conducted by AI agents. While the photo classification …
the society as a result of mistakes conducted by AI agents. While the photo classification …
The Impact of Artificial Intelligence on Tourism Sustainability: A Systematic Mapping Review
F Dalipi, Z Kastrati, T Öberg - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Recent advancements in big data, algorithms, and computing power have triggered
significant enhancements in artificial intelligence (AI). Almost every aspect of travel and …
significant enhancements in artificial intelligence (AI). Almost every aspect of travel and …