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Toplam kayıt 209, listelenen: 91-100
Investigation of the effect of layered structure on partial discharges in transformer pressboard insulator
(Springer, 2023)
The dielectric performance of pressboards impregnated with mineral oil is one of the key points in regard to the quality
of the transformer’s working life. Partial discharges (PDs) occurring in the pressboard can cause ...
Electromagnetic investigation of neuron growth by using pulsed electromagnetic field stimulation
(Elsevier, 2023)
Electromagnetic field (EMF) applications for humans have been widely used for medical therapy for a long time.
Various nerve diseases such as complex regional pain syndrome, cerebral palsy and spinal cord injuries may
occur ...
Optimal dimensions of post-tensioned concrete cylindrical walls using harmony search and snsemble learning with SHAP
(2023)
The optimal design of prestressed concrete cylindrical walls is greatly beneficial for economic and environmental impact. However, the lack of the available big enough datasets for the
training of robust machine learning ...
Interpretable predictive modelling of basalt fiber reinforced concrete splitting tensile strength using ensemble machine learning methods and SHAP approach
(2023)
Basalt fibers are a type of reinforcing fiber that can be added to concrete to improve its
strength, durability, resistance to cracking, and overall performance. The addition of basalt fibers
with high tensile strength ...
Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete
(Elsevier, 2023)
Colossal amounts of construction and demolition waste (C&D) and waste tires have become a
considerable global environmental concern. To alleviate this issue, it is proposed to use crumb
rubber (CR) derived from waste ...
Evaluation of deep transfer learning methodologies on the COVID-19 radiographic chest images
(International Information and Engineering Technology Association, 2023)
In 2019, the world had been attacked with a severe situation by the new version of the SARSCOV-2 virus, which is later called COVID-19. One can use artificial intelligence techniques
to reduce time consumption and find ...
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
(Elsevier, 2023)
Wind energy increasingly attracts investment from many countries as a clean and renewable energy source. Since
wind energy investment cost is high, the efficiency of a potential wind power plant should be determined ...
Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls
(Elsevier, 2023)
Cantilever soldier pile retaining walls are used to ensure the stability of excavations. This paper deploys
ensemble machine learning algorithms towards achieving optimum design of these structures. A large dataset
was ...
Predictive modeling of recycled aggregate concrete beam shear strength using explainable ensemble learning methods
(2023)
Construction and demolition waste (CDW) together with the pollution caused by the
production of new concrete are increasingly becoming a burden on the environment. An appealing
strategy from both an ecological and a ...
Effect of equal-channel angular pressing on ordering kinetics and twinning in an 18-carat AuCuAg alloy
(2023)
The ability to modify microstructural features and the resulting properties of red gold provides an attractive
potential for applications in electronics, dental devices or jewelry. In this study, the effect of severe ...