… Advances in machine learning offer exciting opportunities for automated condition assessment
with minimum human intervention. This paper reviews machine learning approaches to …

… While condition assessment is almost mandatory to tackle and treat … machine learning
for condition monitoring, diagnosis, and prognosis of gas turbines. In this work, machine-learning …

… than other condition assessments, machine learning uses … evaluating the condition of water
mains is one of the highest … ML uses a virtual condition assessment mechanism to prioritize …

… a common solution: photo modeling procedures to obtain a point cloud, machine learning …
point cloud, architectural photo modeling, machine learning for location of damaged elements, …

… accurate and reliable condition assessment for timber … machine learning (ML) classifiers in
combination with statistical signal transformation for the non-destructive condition assessment …

… In this paper, the development of machine learning model for condition assessment of
power transformer has been proposed in order to predict %HI. The historical testing data and …

… This paper presents the state-of-the-art research conducted on applying different ML
methods in pavement condition assessment. A broad survey has been run on the state-of-practice …

… It offers a comprehensive assessment of pavement conditions. Consequently, it generates
… in machine learning to develop a low-cost, robust pavement condition assessment system, …

… In this paper, a novel unsupervised learning model is presented for both global and local
condition assessments of structural systems using ambient vibration response data of the …

… Thus, assessment of crop condition is vital. The growing technology plays a … like Machine
Learning, Deep Learning are used. This paper focuses on the assessment of the crop condition …