[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
IoT in smart cities: A survey of technologies, practices and challenges
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …
removing the necessity of human intervention. This enables the capacity of having smart (or …
Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …
However, due to limitations of computational ability and data analysis methods, the …
Artificial intelligence and machine learning in precision and genomic medicine
S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …
symptom-driven treatment process by allowing early risk prediction of disease through …
Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
This paper presents a practical yet comprehensive implementation of the ensemble methods
for prediction of the shear strength for reinforced concrete deep beams with/without web …
for prediction of the shear strength for reinforced concrete deep beams with/without web …
Emerging artificial intelligence methods in structural engineering
H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm
DC Feng, ZT Liu, XD Wang, ZM Jiang… - Advanced Engineering …, 2020 - Elsevier
Failure mode (FM) and bearing capacity of reinforced concrete (RC) columns are key
concerns in structural design and/or performance assessment procedures. The failure types …
concerns in structural design and/or performance assessment procedures. The failure types …
Acoustic based fault diagnosis of three-phase induction motor
A Glowacz - Applied Acoustics, 2018 - Elsevier
The article describes acoustic based fault diagnosis techniques of a three-phase induction
motor. Four real states of the three-phase induction motor were analysed: healthy three …
motor. Four real states of the three-phase induction motor were analysed: healthy three …
Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …
structure under inspection, and it can be approached from two different points of view. The …