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Toplam kayıt 17, listelenen: 11-17
A novel framework for strength prediction of geopolymer mortar: Renovative precursor effect
(Elsevier, 2023)
Concrete is the most used building material today as it has many advantages due to its structure. Geopolymer composites could potentially replace concrete in the future due to the demands of the construction industry. The ...
Accuracy improvement in Ag:a-Si memristive synaptic device-based neural network through Adadelta learning method on handwritten-digit recognition
(Springer, 2023)
Traditional computing architecture (Von Neumann) that requires data transfer between the off-chip memory and processor consumes a large amount of energy when running machine learning (ML) models. Memristive synaptic devices ...
Stacked ensemble modeling for improved tuberculosis treatment outcome prediction in pediatric cases
(Wiley, 2024)
The promising results of ML (machine learning) methods in various disciplines have led to the frequent use of these methods in health fields such as disease diagnosis, personalized medicine, medical image-based diagnosis, ...
Solution and performance analysis of subset sum problem with a new metaheuristic approach
(TUBITAK, 2020)
Subset sum problem was solved with two different metaheuristic approaches in the study. After these approaches, which are simulated annealing and genetic algorithms, a hybrid model of two methods was created and better ...
Recurrent neural network and long short-term memory models for audio copy-move forgery detection: a comprehensive study
(Springer, 2024)
One of the most pressing challenges in audio forgery detection—a major topic of signal analysis and digital forensics research—is detecting copy-move forgery in audio data. Because audio data are used in numerous sectors, ...
Increasing the performance of a hospital department with budget allocation model and machine learning assisted by simulation
(Taylor & Francis Inc., 2024)
The COVID-19 pandemic highlighted the critical need for efficient resource management in healthcare. In this study, the internal medicine outpatient clinic in a hospital is modelled by simulation method. Appropriate ...
Predicting mechanical properties in geopolymer mortars, including novel precursor combinations, through XGBoost method
(Springer, 2024)
Concrete is the most widely used material in the building industry due to its affordability, durability, and strength. However, considering carbon emissions, it is believed that concrete will be replaced by geopolymers in ...