Titlebook: Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment; KNOW-RE-BUILT. Proce Ancu?a Rotaru Confe

hallow

填料

賄賂

腫塊

Landslide Displacement Prediction with Machine Learning Techniquese worldwide. Predicting slope movements and their temporal occurrence is a key component of early warning systems, which reduce landslide risk by delivering timely and meaningful warnings. Moreover, monitoring data are fundamental to understanding the relationship between triggering factors and slop

Ganglion

profligate

愛(ài)花花兒憤怒

Remedial Measures for a Rainfall-Induced Creeping Landslide: A Case Studytween landslide activity and hydrological conditions is investigated through an integrated monitoring system. In-situ monitoring results indicate that the creeping motion of the landslide is mainly regulated by seasonal rainfall. Considering the on-going activity of the landslide, some remedial meas

多嘴多舌

Iatrogenic

MONY

Assessing the Near-Future Behavior of a Landslide: Development and Preliminary Results of a Machine and structures in areas at risk of natural hazards. The recent development of highly sophisticated sensors and infrastructures has dramatically increased the amount and variety of collected data. This has the potential to enable more reliable and responsive Early Warning Systems, but brings forth t