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_ nn » _ non (Expand Search), _ n (Expand Search), _ na (Expand Search)
decrease » decreased (Expand Search), increase (Expand Search)
ann » anna (Expand Search)
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Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
Published 2023“…The last retained features from the proposed PSO-based methods are fed to the neural network (NN) classifier. The proposed methodology improves the diagnosis abilities, reduces the computation time, and decreased the storage cost. …”
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Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers
Published 2022“…The converter's switching pulse can be adjusted by PI or NN. The entire system was designed in MATLAB/ Simulink tool.…”
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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
Published 2024“…However, agricultural areas decreased from 152.13 km<sup>2</sup> (18.5%) in 1980 to 140.38 km<sup>2</sup> (17%) in 2023, while barren lands decreased from 54.44 km<sup>2</sup> (6.6%) in 1980 to 34.71 km<sup>2</sup> (4.22%) in 2023. …”
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Diesel engine vibration analysis using artificial neural networks method: Effect of NH<sub>3</sub> additive in biodiesels
Published 2024“…The ANN models indicated that a 5 % NH<sub>3</sub> additive decreased engine vibration for HD and PD. …”
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A decision support system for automating document retrieval and citation screening
Published 2021“…Additionally, the DSS is designed to run in the cloud without any required programming knowledge for reviewers. A Multi-Channel CNN architecture is implemented to support the citation screening process. …”
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Machine Learning and Carbonate Reservoirs : A Production Data Perspective on Permeability Modelling
Published 2024“…Removing these producers from the training dataset led to an 10% decrease in ANN performance, highlighting their importance in capturing the non-linear relationship between permeability and production data.…”
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Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy
Published 2021“…<p dir="ltr">The present study illustrates the outbreak prediction and analysis on the growth and expansion of the COVID-19 pandemic using artificial neural network (ANN). The first wave of the pandemic outbreak of the novel Coronavirus (SARS-CoV-2) began in September 2019 and continued to March 2020. …”
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A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact
Published 2020“…The results showed a decrease in the MSE of V<sub>mp</sub> by 74.3% (from 1.6 V to 0.411 V), and in the MSE of I<sub>mp</sub> by 95% (from 4.4e−6 A to 2.16e−7 A), respectively. …”
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Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security
Published 2025“…<p dir="ltr">Wheat is an essential crop that plays a vital role in global food security, but is susceptible to a variety of diseases, which have the potential to drastically decrease crop productivity. …”
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Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
Published 2020“…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …”
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Simultaneous adsorption-photocatalytic degradation of tetracycline by CdS/TiO<sub>2</sub> nanosheets/ graphene nanocomposites : Experimental study and modeling
Published 2021“…In addition, the application of artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in modeling the removal of tetracycline (TC) was evaluated in this study. …”
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Photocatalytic deposition of cobalt atoms on two-dimensional nanocomposites as efficient visible-light-driven photocatalysts: Experimental study and intelligent modeling
Published 2022“…Finally, the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) models were developed to predict the photocatalytic degradation performance of the fabricated photocatalysts. …”
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
Published 2022“…Early diagnosis is the only way to increase the treatment options which then decreases the death rate and increases the chance of survival in patients. …”
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