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 …

[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 …

[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 …

[HTML][HTML] Sustainable design and repair: Leveraging circular economy and machine learning for product development

N Mohammadian, OF Valilai, A Schlüter - Journal of Open Innovation …, 2025 - Elsevier
Optimising resource efficiency is essential for sustainable product lifecycle management
(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 …

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 …

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 …

[HTML][HTML] Identifying and estimating causal effects of bridge failures from observational data

AÖ Çiftçioğlu, MZ Naser - Journal of Infrastructure Intelligence and …, 2024 - Elsevier
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 …

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 …

[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 …