This paper performed a systematic review of the various machine learning (ML) techniques
applied to assess the health condition of heritage buildings. More robust predictive models …

The increasing number of accidents arising from falling objects from the façade of tall
buildings has attracted much attention globally. To regulators, a preventive approach based …

The technical performance assessment of a building is essential for planning maintenance
actions to improve its condition and functionality. The aim of this study is to present a …

ABSTRACT A new approach is developed for vulnerability analysis of monuments based on
a matrix model and the relationships with static and structural factors, climatic conditions, air …

The expert system for predicting the service life of buildings, fuzzy buildings service life
(FBSL), is a computer application that contributes to the preventive conservation of …

In this research, a proposal for the assessment of the functional service life of built heritage
applying statistical tools is described. A fuzzy inference system is applied in order to …

The degradation of the built environment, associated to high maintenance and repair costs,
increases the relevance of the studies about the durability of construction elements. External …

Building accessibility diagnosis is of high interest especially in case of people with reduced
mobility. This paper proposes a methodology for automated detection of inaccessible steps …

This paper set out an automatic multicategory damage detection technique using
convolutional neural networks (CNN) models based on image classification and features' …

In the field of building inspection and diagnosis, uncertainty is common and surveyors are
aware of it, although it is not easily measured. This research proposes a model to quantify …