An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of …
MZ Naser - Automation in Construction, 2021 - Elsevier
While artificial intelligence (AI), and by extension machine learning (ML), continues to be
adopted in parallel engineering disciplines, the integration of AI/ML into the structural …
adopted in parallel engineering disciplines, the integration of AI/ML into the structural …
Fire performance of masonry under various testing methods
A Daware, MZ Naser - Construction and Building Materials, 2021 - Elsevier
Masonry, as a construction material, is known to perform well under elevated temperatures,
which makes it an attractive choice for structural applications. This superior performance is a …
which makes it an attractive choice for structural applications. This superior performance is a …
Machine learning-based surrogate model for calibrating fire source properties in FDS models of façade fire tests
Calibration is an important step in the development of predictive numerical models that
involves adjusting input parameters not easily measured in experiments to improve the …
involves adjusting input parameters not easily measured in experiments to improve the …
Hiding in plain sight: What can interpretable unsupervised machine learning and clustering analysis tell us about the fire behavior of reinforced concrete columns?
AÖ Çiftçioğlu, MZ Naser - Structures, 2022 - Elsevier
The role of machine learning (ML) continues to rise in the structural fire engineering area.
Noting the widespread of supervised ML approaches, such methods are being heavily …
Noting the widespread of supervised ML approaches, such methods are being heavily …
Quantitative evaluation of the relationship between physical parameters and building demolition or adaptation outcomes
Building adaptation and re-use can contribute to a circular and sustainable built
environment, as existing buildings are adapted and the need for new construction materials …
environment, as existing buildings are adapted and the need for new construction materials …
Deriving Generalized Temperature-dependent Material Models for Masonry through Fire Tests and Machine Learning
AA Daware - 2021 - search.proquest.com
Masonry is one of the oldest and commonly used building materials in the construction
industry. Among a variety of benefits, masonry provides low-cost construction, fire, and …
industry. Among a variety of benefits, masonry provides low-cost construction, fire, and …
Evaluation of Physical Parameters and Building Adaptation and Demolition Outcomes
D McFarland - 2021 - search.proquest.com
The relationships between the physical features of buildings and the adaptability of those
buildings have become an intriguing topic for many researchers in recent years. Although …
buildings have become an intriguing topic for many researchers in recent years. Although …