Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …
architecture, engineering, and construction (AEC) industry to positively impact project …
A systematic literature review of explainable AI for software engineering
AH Mohammadkhani, NS Bommi, M Daboussi… - arXiv preprint arXiv …, 2023 - arxiv.org
Context: In recent years, leveraging machine learning (ML) techniques has become one of
the main solutions to tackle many software engineering (SE) tasks, in research studies …
the main solutions to tackle many software engineering (SE) tasks, in research studies …
Causal discovery and reasoning for geotechnical risk analysis
Artificial intelligence (AI), such as machine learning (ML) models, is profoundly impacting an
organization's ability to assess safety risks during the construction of tunnels. Yet, ML …
organization's ability to assess safety risks during the construction of tunnels. Yet, ML …
[HTML][HTML] Leveraging explainable AI for informed building retrofit decisions: Insights from a survey
D Leuthe, J Mirlach, S Wenninger, C Wiethe - Energy and buildings, 2024 - Elsevier
Accurate predictions of building energy consumption are essential for reducing the energy
performance gap. While data-driven energy quantification methods based on machine …
performance gap. While data-driven energy quantification methods based on machine …
Geotechnical risk modeling using an explainable transfer learning model incorporating physical guidance
While Artificial intelligence (AI) has been successfully applied in assessing geotechnical
risk, such methods heavily rely on data quality to achieve satisfactory performance, and their …
risk, such methods heavily rely on data quality to achieve satisfactory performance, and their …
A novel daily runoff forecasting model based on global features and enhanced local feature interpretation
D Xu, Y Hong, W Wang, Z Li, J Wang - Journal of Hydrology, 2024 - Elsevier
The development of artificial intelligence has introduced new perspectives to the field of
hydrological forecasting. However, there is still a lack of research on efficiently identifying …
hydrological forecasting. However, there is still a lack of research on efficiently identifying …
Decentralized artificial intelligence in construction using blockchain
Alleviating cybersecurity risks associated with centralized AI training and implementation is
a burgeoning challenge in the construction industry. This paper addresses two primary …
a burgeoning challenge in the construction industry. This paper addresses two primary …
Creating spatial visualizations using fine-tuned interior design style models informed by user preferences
This study examines the automated creation of spatial visualizations for interior design,
emphasizing user preferences over precision. Recognizing design as a reflection of …
emphasizing user preferences over precision. Recognizing design as a reflection of …
A contrastive learning framework for safety information extraction in construction
Typically named entity recognition (NER) and relation extraction (RE) from safety
documentation (eg, accident reports) adopt a pipeline processing approach whereby tasks …
documentation (eg, accident reports) adopt a pipeline processing approach whereby tasks …
Fine-tuned understanding: Enhancing social bot detection with transformer-based classification
In recent years, the proliferation of online communication platforms and social media has
given rise to a new wave of challenges, including the rapid spread of malicious bots. These …
given rise to a new wave of challenges, including the rapid spread of malicious bots. These …