Search alternatives:
complement system » component system (Expand Search), complex system (Expand Search)
system algorithm » custom algorithm (Expand Search), sssgm algorithm (Expand Search), systematic algorithm (Expand Search)
study algorithm » wsindy algorithm (Expand Search), td3 algorithm (Expand Search), seu algorithm (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
models using » model using (Expand Search)
complement system » component system (Expand Search), complex system (Expand Search)
system algorithm » custom algorithm (Expand Search), sssgm algorithm (Expand Search), systematic algorithm (Expand Search)
study algorithm » wsindy algorithm (Expand Search), td3 algorithm (Expand Search), seu algorithm (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
models using » model using (Expand Search)
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ML algorithms used in this study.
Published 2025“…Although the precise relationship with mitochondrial pathways remains elusive, recent advances in machine learning present an avenue for further investigation. This study employed advanced machine learning techniques to classify major depressive disorders based on clinical indicators and mitochondrial oxidative stress markers. …”
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Structure and the optimization technique of the algorithms adopted in the study.
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The ANFIS algorithm details.
Published 2025“…To overcome the challenges involved in the selection of a stock portfolio, this article presents a three-stage optimization model. In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”
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Simulated results of different DL algorithms using ISBI2016 dataset in centralized method.
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Simulated results of different DL algorithms using ISBI2016 dataset in FedAvg approach.
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Simulated results of different DL algorithms using ISBI2017 dataset in FedAvg approach.
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Simulated results of different DL algorithms using ISBI2017 dataset in a centralized approach.
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