Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence
MZ Naser - Wiley Interdisciplinary Reviews: Data Mining and …, 2024 - Wiley Online Library
In order to engineer new materials, structures, systems, and processes that address
persistent challenges, engineers seek to tie causes to effects and understand the effects of …
persistent challenges, engineers seek to tie causes to effects and understand the effects of …
[HTML][HTML] Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Engineering, Medicine, Policy, and …
MZ Naser - She Ji: The Journal of Design, Economics, and …, 2023 - Elsevier
This short paper compiles the main concepts behind some philosophical views, definitions,
and examples of causality. This collection spans the realms of the four commonly adopted …
and examples of causality. This collection spans the realms of the four commonly adopted …
[HTML][HTML] Discovering causal models for structural, construction and defense-related engineering phenomena
MZ Naser - Defence Technology, 2025 - Elsevier
Causality, the science of cause and effect, has made it possible to create a new family of
models. Such models are often referred to as causal models. Unlike those of mathematical …
models. Such models are often referred to as causal models. Unlike those of mathematical …
[HTML][HTML] Sustainable design and repair: Leveraging circular economy and machine learning for product development
Optimising resource efficiency is essential for sustainable product lifecycle management
(PLM). This motivates the use of novel methodologies such as sustainable design, circular …
(PLM). This motivates the use of novel methodologies such as sustainable design, circular …
Leveraging Causal Machine Learning for Sustainable Automotive Industry: Analyzing Factors Influencing CO2 Emissions
VM Nesro, T Fekete, H Wicaksono - Procedia CIRP, 2024 - Elsevier
Integrating artificial intelligence (AI) and machine learning (ML) in the industry has become
increasingly essential with the rise of Industry 4.0. These technologies can revolutionize …
increasingly essential with the rise of Industry 4.0. These technologies can revolutionize …
Ultra-short-term wind power forecasting method based on multi-variable joint extraction of spatial-temporal features
Z Lei, C Wang, T Liu, F Wang, J Xu… - Journal of Renewable and …, 2024 - pubs.aip.org
Accurate and reliable wind power forecasting is imperative for wind power stations' stable
and efficient operation. Information such as wind speed and wind direction in the same wind …
and efficient operation. Information such as wind speed and wind direction in the same wind …
A quantitative causal analysis and optimization framework for inclusions of steel products
Y Wu, H Zhang, L Jian, Z Lv - Advanced Engineering Informatics, 2024 - Elsevier
Inclusions generated during steelmaking and continuous casting processes could seriously
reduce the mechanical properties of steel products and greatly increase the risk of corrosion …
reduce the mechanical properties of steel products and greatly increase the risk of corrosion …
[HTML][HTML] Identifying and estimating causal effects of bridge failures from observational data
This paper presents a causal analysis aimed at identifying and estimating causal effects with
regard to bridge failures under extreme events. Observational data on about 299 bridge …
regard to bridge failures under extreme events. Observational data on about 299 bridge …
Causal Inference–Based Study of Key Contributors to Industrial Accidents
S Okki, M Chebila, R Nait-Said - ASCE-ASME Journal of Risk and …, 2024 - ascelibrary.org
This paper aims to study the causal relationships among several prevailing factors and the
three main dimensions of the consequences of industrial accidents that involve hazardous …
three main dimensions of the consequences of industrial accidents that involve hazardous …
[HTML][HTML] Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models
MJ Noh, YS Kim - Biomedicines, 2025 - mdpi.com
Background/Objectives: Diabetes is a dangerous disease that is accompanied by various
complications, including cardiovascular disease. As the global diabetes population …
complications, including cardiovascular disease. As the global diabetes population …