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Shortest Confidence Intervals of Weibull Modulus for Small Samples in Materials Reliability Analysis
(GAZI UNIV, 2023)
The Weibull distribution has been widely used to model strength properties of brittle materials. Estimation of confidence intervals for Weibull shape parameter has been an important concern, since small sample sizes in ...
A data-driven approach based on deep neural networks for lithium-ion battery prognostics
(Springer London Ltd, 2021)
Remaining useful life estimation is gaining attention in many real-world applications to alleviate maintenance expenses and increase system reliability and efficiency. Deep learning approaches have recently provided a ...
Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
(Pergamon-Elsevier Science Ltd, 2021)
Influenza epidemic is a serious public health problem that has attracted worldwide attention due to cause cases of severe illness, an enormous economic burden, and even deaths worldwide each year. Forecasting influenza ...
Uzun-Kısa Süreli Bellek Ağı Kullanarak Global Güneş Işınımı Zaman Serileri Tahmini
(2019)
Global güneş ışınımı tahmini, güneş enerjisi sistemlerinin etkin yönetimi ve işletilmesinin yanı sıra gelecekteki enerji üretimi hakkında güvenilir bilgi sağlamak için giderek daha fazla önem kazanmaktadır. Bu çalışmada, ...
Accurate detection of coronavirus cases using deep learning with attention mechanism and genetic algorithm
(SPRINGER, 2024)
The novel coronavirus disease has caused severe threats to the daily life and health of people all over the world. Hence, early detection and timely treatment of this disease are signifcant to prevent the coronavirus’s ...