[HTML][HTML] Green buildings: requirements, features, life cycle, and relevant intelligent technologies

S Yin, J Wu, J Zhao, M Nogueira, J Lloret - Internet of Things and Cyber …, 2024 - Elsevier
Green buildings are designed and constructed according to the principles of sustainable
development and are an inevitable trend in future architectural development. Nowadays …

Causal Inference in Food Safety: Methods, Applications, and Future Prospects

X Dou, Y Liu, Q Dong - Trends in Food Science & Technology, 2024 - Elsevier
As global food supply chains become increasingly complex, food safety risks have become
more difficult to predict and control. Traditional correlation-based analytical methods are …

[HTML][HTML] Computer vision tools for early post-disaster assessment: Enhancing generalizability

R Soleimani, MH Soleimani-Babakamali… - … applications of artificial …, 2024 - Elsevier
Remote sensing data, particularly satellite imagery, have made early, post-hazard aerial
damage assessment possible due to its fast availability and extensive coverage. Despite …

[HTML][HTML] Adaptive Weighted Coherence Ratio Approach for Industrial Explosion Damage Mapping: Application to the 2015 Tianjin Port Incident

Z Su, C Fan - Remote Sensing, 2024 - mdpi.com
The 2015 Tianjin Port chemical explosion highlighted the severe environmental and
structural impacts of industrial disasters. This study presents an Adaptive Weighted …

Assessment of water electrolysis projects for green hydrogen production with a novel hybrid Q-learning algorithm and molecular fuzzy-based modelling

H Dinçer, S Eti, M Acar, S Yüksel - International Journal of Hydrogen …, 2024 - Elsevier
Determining the most important criteria for increasing the efficiency of water electrolysis
investments provides businesses with a competitive advantage. Although there are many …

[HTML][HTML] Social vulnerabilities and wildfire evacuations: A case study of the 2019 Kincade fire

Y Sun, A Forrister, ED Kuligowski, R Lovreglio, TJ Cova… - Safety Science, 2024 - Elsevier
Vulnerable populations (eg, populations with lower income or disabilities) are
disproportionately impacted by natural hazards like wildfires. It is crucial to develop …

CGCI: Cross-granularity Causal Inference framework for engineering Change Propagation Analysis

Y Wang, H Cai, B Shen, P Hu, H Yu, L Jiang - Advanced Engineering …, 2024 - Elsevier
In the dynamic landscape of large-scale and intricate product development, the constant
generation and accumulation of configuration data, influenced by factors such as evolving …

Post-hurricane building damage assessment using street-view imagery and structured data: A multi-modal deep learning approach

Z Xue, X Zhang, DO Prevatt, J Bridge, S Xu… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurately assessing building damage is critical for disaster response and recovery.
However, many existing models for detecting building damage have poor prediction …

[PDF][PDF] A Case-Based Reasoning Framework Augmented with Causal Graph Bayesian Networks for Multi-Hazard Assessment of Earthquake Impacts

Y Dou, J Zhang, Y Li, R Qi, Z Yuan, Y Bai, E Mas… - 2024 - ceur-ws.org
Earthquakes often lead to significant secondary hazards such as landslides, liquefaction,
and aftershocks, which in turn cause great damage to buildings and seriously jeopardize …

Scalable Variational Learning for Noisy-OR Bayesian Networks with Normalizing Flows for Complex Cascading Disaster Systems

X Li, S Xu - 2024 - researchsquare.com
Sudden-onset disasters such as earthquakes often induce multiple cascading hazards and
impacts, causing human and economic losses. While recent advances in remote sensing …