Using regression models for predicting the product quality in a tubing extrusion process
Quality in a manufacturing process implies that the performance characteristics of the
product and the process itself are designed to meet specific objectives. Thus, accurate …
product and the process itself are designed to meet specific objectives. Thus, accurate …
Intelligent systems for additive manufacturing-based repair in remanufacturing: a systematic review of its potential
SSM Yusoh, D Abd Wahab, HA Habeeb… - PeerJ Computer …, 2021 - peerj.com
The conventional component repair in remanufacturing involves human decision making
that is influenced by several factors such as conditions of incoming cores, modes of failure …
that is influenced by several factors such as conditions of incoming cores, modes of failure …
Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion
Pitting corrosion is one of the most common corrosion damages for steel reinforcing bars.
Fatigue crack usually initiates and propagates from pitting corrosion due to stress …
Fatigue crack usually initiates and propagates from pitting corrosion due to stress …
Intelligent risk management in construction projects: Systematic Literature Review
L Chenya, E Aminudin, S Mohd, LS Yap - IEEE Access, 2022 - ieeexplore.ieee.org
As digitalization leads to the development of the global economy and artificial intelligence
stimulates technological innovation, integrating smart management methods into project …
stimulates technological innovation, integrating smart management methods into project …
Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree
This paper presents a novel artificial intelligence model to automatically recognize concrete
spall appearing on building components. The model is constructed by integrating a …
spall appearing on building components. The model is constructed by integrating a …
Deeppipe: Theory-guided prediction method based automatic machine learning for maximum pitting corrosion depth of oil and gas pipeline
Accurate monitoring of pipeline corrosion is important and necessary not only for the normal
operation of oil and gas pipelines but also for the reliable and stable supply of energy. To …
operation of oil and gas pipelines but also for the reliable and stable supply of energy. To …
An ensemble machine learning model for enhancing the prediction accuracy of energy consumption in buildings
Predicting building energy use is necessary for energy planning, management, and
conservation. It is difficult to achieve accurate prediction results due to the inherent …
conservation. It is difficult to achieve accurate prediction results due to the inherent …
Hybrid machine learning for predicting strength of sustainable concrete
Foamed concrete material is a sustainable material which is widely used in the construction
industry due to their sustainability. Accurate prediction of their compressive strength is vital …
industry due to their sustainability. Accurate prediction of their compressive strength is vital …
A review of currently applied building information modeling tools of constructions in China
Building information modeling (BIM) is considered as a vital technology to achieve building
sustainability in China. Many local companies have developed BIM assisting tools to …
sustainability in China. Many local companies have developed BIM assisting tools to …
Estimation of concentration values of different gases based on long short-term memory by using electronic nose
H Bakiler, S Güney - Biomedical Signal Processing and Control, 2021 - Elsevier
An electronic nose (e-nose) is commonly used in different areas. In the e-nose studies, one
of the most important subjects is the estimation of the different concentration values of …
of the most important subjects is the estimation of the different concentration values of …