Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

A Malekloo, E Ozer, M AlHamaydeh… - Structural Health …, 2022 - journals.sagepub.com
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …

Review of graph-based hazardous event detection methods for autonomous driving systems

D ** using geospatial artificial intelligence (GeoAI): A non-parametric algorithm enhanced by math-based metaheuristic algorithms
SV Razavi-Termeh, A Sadeghi-Niaraki, F Ali… - Journal of …, 2025 - Elsevier
Flooding presents substantial dangers to human lives and infrastructure, underscoring the
need to map flood-prone areas to implement effective mitigation measures precisely …

Efficiency of hybrid algorithms for estimating the shear strength of deep reinforced concrete beams

MS Barkhordari, DC Feng… - Periodica Polytechnica …, 2022 - pp.bme.hu
Earthquakes occurred in recent years have highlighted the need to examine the strength of
reinforced concrete (RC) members. RC beams are one of the elements of reinforced …

Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches

KM Alkindi, K Mukherjee, M Pandey, A Arora… - … Science and Pollution …, 2022 - Springer
Nitrate is a major pollutant in groundwater whose main source is municipal wastewater and
agricultural activities. In the present study, Bayesian approaches such as Bayesian …

Scenario-based comprehensive assessment for community resilience adapted to fire following an earthquake, implementing the analytic network process and …

Z He, H Chen, H Yan, Y Yin, Q Qiu, T Wang - Buildings, 2021 - mdpi.com
Natural hazards bring significant influences on and socioeconomic loss to cities and
communities. Historic events show that fire following earthquake (FFE) is the most influential …

Assessing risk associated with recreational activities in coastal areas by using a bayesian network

MT Lee, YC Chang, HC Yang, YJ Lin - Heliyon, 2023 - cell.com
Taiwan is an island and therefore has a considerable amount of coastal land. Drowning or
near-drowning incidents often occur in coastal recreational areas. To reduce the risk of …