Mass timber (MT), a group of large engineered structural wooden panels such as cross-
laminated timber (CLT), glue-laminated timber (Glulam), laminated veneer lumber (LVL) …

The growing interest in timber construction and using more wood for civil engineering
applications has given highlighted importance of develo** non-destructive evaluation …

This study employs soft computing techniques, including artificial neural network (ANN)
models and gene expression programming (GEP), to enhance the prediction of ultimate load …

The guided wave propagation and artificial intelligence (AI) approaches were used to
propose an intelligent model for automatic detection and classification of the matrix cracking …

Abstract Machine learning (ML) is an efficacious tool that can be employed to enhance the
pasteurization process through several means. This paper provides an analysis of the …

A methodology is presented for acoustic emission (AE) monitoring of Douglas fir wood in
circular sawing process under extreme cutting conditions. An AE sensor was mounted on …

The development of technology for manufacturing products and machines carrying out
technological operations is closely linked to develo** systems for tracking and controlling …

Data-driven models were developed for monitoring the power consumption and wood
quality during the lumber manufacturing process. The study proposes hybrid models using …

This study investigates the airborne dust generation during the wood sawing process. It also
develops an intelligent framework for airborne dust monitoring using acoustic emission (AE) …

Predicting the properties of structural timber using a rapid and reliable non-destructive
method is a critical quality control task in production. This study investigates using infrared …