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Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems
Published 2022“…The classification performance is determined via different metrics for various GA-based ANN classifiers using data extracted from the healthy and faulty data of the GCPV system. …”
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162
A promising CO<sub>2</sub> methanation catalyst system based on modified halloysites as supports
Published 2025“…Halloysite nanotubes (HNTs)-based catalysts have attracted significant attention in various catalytic applications. …”
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163
Reduced neural network based ensemble approach for fault detection and diagnosis of wind energy converter systems
Published 2022“…On the other hand, ensemble learning (EL) techniques have gained significant attention from the scientific community. …”
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165
Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
Published 2019“…However, few methods have targeted sentiment-based music composition: generating music that expresses human emotions. …”
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166
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167
Targeting solid tumor cells with novel photosensitive ruthenium-based metal-organic compounds. (c2016)
Published 2016“…This study aims to find the most efficient Ru-based compounds on a set of 6 cell lines from different solid tumors. …”
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168
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169
Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study
Published 2019“…In this paper, we present a method to improve emotion recognition based on the fusion of local cortical activations and dynamic functional network patterns. …”
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170
CO, CO2, and SO2 detection based on functionalized graphene nanoribbons: First principles study
Published 2020“…Indicating that functionalizing the surface of AGNR can improve significantly its performance for the field of gas sensing.…”
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171
Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment
Published 2023“…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”
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172
Reduced Voltage Stress and Spikes in Source Current of 7-Level Switched-Capacitor Based Multilevel Inverter
Published 2023“…<p dir="ltr">Various 7-level switched-capacitor (SC) based converters are reported in the literature which furnishes a voltage gain of 1.5. …”
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173
Targeting acute myeloid leukemia cells with novel photosensitive ruthenium-based metal-organic compounds. (c2015)
Published 2016“…We first established a structure-activity relationship of the precursors and their corresponding free ligands. Of the four different precursors tested {Ru-I: [Ru(II)(1,10-phenanthroline)2Cl2]; Ru-II: [Ru(II)(4,7-diphenyl-1,10-phenanthroline)2Cl2]; Ru-III: [Ru(II)(4,7-diphenyl-1,10-phenanthroline-disulfonate)2Na2]2+ and Ru-IV: [Ru(II)(2,2'-bipyridine)2Cl2]}, significant activity on seven out of nine cell lines, was detected only with Ru-II (IC50 values in the low μM range). …”
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174
Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study
Published 2020“…Hot and humid summer seasons lead to a significant proportion of the supplied power being used on air-conditioning. …”
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175
Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study
Published 2020“…Hot and humid summer seasons lead to a significant proportion of the supplied power being used on air-conditioning. …”
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176
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177
Destabilization of stable bentonite colloidal suspension using choline chloride based deep eutectic solvent: Optimization study
Published 2021“…The analysis showed that there is no significant difference in the result, however, ChCl:LA was the easiest to synthesize and showed slightly higher efficiency at low dosage. …”
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178
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
Published 2021“…In this regard, this paper is an in-depth review of existing anomaly detection frameworks for building energy consumption based on artificial intelligence. Specifically, an extensive survey is presented, in which a comprehensive taxonomy is introduced to classify existing algorithms based on different modules and parameters adopted, such as machine learning algorithms, feature extraction approaches, anomaly detection levels, computing platforms and application scenarios. …”
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Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Published 2022“…<p>Recently, numerous forecasting models have been reported in the wind power forecasting field, aiming for reliable integration of renewable energy into the electric grid. Decomposition-based hybrid models have gained significant popularity in recent years. …”