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ann » anna (Expand Search)
_ ant » _ anti (Expand Search), _ art (Expand Search), _ ano (Expand Search)
decrease » decreased (Expand Search), increase (Expand Search)
ann » anna (Expand Search)
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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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Dynamics of Neisseria gonorrhoeae transmission among female sex workers and clients: A mathematical modeling study
Published 2024“…Increasing condom use from 10 % to 50 % lowers NG prevalence among FSWs, clients, and their spouses from 12.2 % to 6.4 %, 1.2 % to 0.5 %, and 0.4 % to 0.2 %, respectively. …”
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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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Mirizzi Syndrome: Mastering the Challenge, Characterization and Management Outcomes in a Retrospective Study of 60 Cases
Published 2024“…Laparoscopic cholecystectomy was the most common surgical approach (76.7%), particularly in type 1 (79.6%), and decreased to 50% in advanced types. Hepaticojejunostomy was more common in the advanced types.…”
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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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Antibody‐based methods for the measurement of α‐synuclein concentration in human cerebrospinal fluid – method comparison and round robin study
Published 2018“…Pilot data on an immunoprecipitation mass spectrometry (IP‐MS) method is also presented. Our results suggest that the four immunochemical methods and the IP‐MS method measure similar forms of α‐synuclein and that a common reference material would allow harmonization of results between immunoassays.…”
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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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Fibrillar form of α-synuclein-specific scFv antibody inhibits α-synuclein seeds induced aggregation and toxicity
Published 2020“…In vitro studies indicated scFvs inhibit the seeding of α-syn aggregation in a time-dependent manner, decreased α-syn seed-induced toxicity in a cell model of PD, and reduced the production of insoluble α-syn phosphorylated at Ser-129 (pS129-α-syn). …”
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