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Deep Assessment Methodology Using Fractional Calculus on Mathematical Modeling and Prediction of Gross Domestic Product per Capita of Countries
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Modeling and Prediction of the Covid-19 Cases With Deep Assessment Methodology and Fractional Calculus
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IGF26 - 26th International Conference on Fracture and Structural Integrity, Turin/İTALYA, 26 Mayıs 2021
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A novel deep learning model based on convolutional neuralnetworks for employee churn prediction
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A reduced order data-driven method for resistance prediction and shape optimization of hull vane
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ÇELİK CİHAD, DANIŞMAN DEVRİM BÜLENT, KHAN SHAHROZ, KAKLİS PANAGİOTİS
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High-speed switched reluctance machine: natural frequency calculation and acoustic noise prediction
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YAŞA YUSUF,SOZER YİLMAZ,GARİP MUHAMMET
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Application of Intelligent Models for Flyrock Prediction Considering Design Parameters and Bench Face Characteristics
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Mamdani Model based ANFIS and Application in Prediction of Soot Emission
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Letter to the editor ”comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes”
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Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel
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Next Item Prediction Using Neural Networks with Embedding Initialized Weights
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Integrating Ligand and Target-Driven Based Virtual Screening Approaches With in vitro Human Cell Line Models and Time-Resolved Fluorescence Resonance Energy Transfer Assay to Identify Novel Hit Compounds Against BCL-2
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Cost Sensitive Class-Weighting Approach for Transient Instability Prediction Using Convolutional Neural Networks
11th INTERNATIONAL CONFERENCE onELECTRICAL and ELECTRONICS ENGINEERING, 28 Kasım 2019
KESİCİ MERT,SANER CAN BERK,YASLAN YUSUF,GENÇ VEYSEL MURAT İSTEMİHAN
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A Transient Stability Prediction Method based on Multi-Channel Convolutional Neural Networks Using Time Series of PMU Measurements
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Prediction error PDF improvement in multichannel predictive coders
2006 IEEE 14th Signal Processing and Communications Applications, Antalya/TÜRKİYE, No. null, 16 Nisan 2006, s. 61-64
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Drug Re-Positioning Studies for Novel HIV-1 Inhibitors Using Binary QSAR Models and Multi-Target-DrivenIn SilicoStudies
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