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Toplam kayıt 28, listelenen: 1-10
Evaluation of pre‑ and post‑fre food risk by analytical hierarchy process method: a case study for the 2021 wildfres in Bodrum, Turkey
(2023)
Wildfres are regarded as one of the devastating natural disturbances to natural ecosystems, and threatening the lives of many
species. In July 2021, a wildfre took place in the Mediterranean region of Turkey in multiple ...
A Compressor model to determine cooling cycle efficiencies and performances without or with internal heat exchanger for specific refrigerant
(2023)
Today, the importance of refrigeration has
increased due to the shortage of food, food storage,
health, and industrial cooling. Global warming is the
most important environmental problem that the
world has faced recently. ...
A systematic literature review: Setting a basis for smart and sustainable city performance measurement
(2023)
The growing amount of data and the inventive solutions that arise from it createopportunities to construct and manage smart sustainable cities. Before attemptingto establish appropriate solutions in this regard, it is ...
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 ...
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 ...