Plant‐mediated synthesis of silver‐doped zinc oxide nanoparticles and evaluation of their antimicrobial activity against bacteria cause tooth decay

Microscopy Research and Technique, Journal Year: 2022, Volume and Issue: 85(11), P. 3553 - 3564

Published: Aug. 19, 2022

In this research, silver-doped zinc oxide (SdZnO) nanoparticles (NPs) were synthesized in an environmental-friendly manner. The NPs identified by UV-vis spectroscopy, X-ray diffraction (XRD), and scanning electron microscopy (SEM). Finally, the antimicrobial activity of ZnO SdZnO was performed. It observed that doping silver, size changed. By adding silver to NPs, effect improved. Antibacterial test against gram-positive bacterium Streptococcus mutants showed with a low density had higher antibacterial than NPs; Therefore, can be used as new agent medical applications. RESEARCH HIGHLIGHTS: Silver-doped prepared using eco-friendly synthesis method their bacteria causing tooth decay studied.

Language: Английский

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Feature Selection and Training Multilayer Perceptron Neural Networks Using Grasshopper Optimization Algorithm for Design Optimal Classifier of Big Data Sonar

Journal of Sensors, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 14

Published: Nov. 14, 2022

The complexity and high dimensions of big data sonar, as well the unavoidable presence unwanted signals such noise, clutter, reverberation in environment sonar propagation, have made classification one most interesting applicable topics for active researchers this field. This paper proposes use Grasshopper Optimization Algorithm (GOA) to train Multilayer Perceptron Artificial Neural Network (MLP-NN) also select optimal features (called GMLP-GOA). GMLP-GOA hybrid classifier first extracts experimental using MFCC. Then, are selected GOA. In last step, MLP-NN trained with GOA is used classify sonar. To evaluate performance GMLP-GOA, compared MLP-GOA, MLP-GWO, MLP-PSO, MLP-ACO, MLP-GSA classifiers terms rate, convergence local optimization avoidance power, processing time. results indicated that achieved a rate 98.12% time 3.14 s.

Language: Английский

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Short-term load forecasting based on WM algorithm and transfer learning model

Applied Energy, Journal Year: 2023, Volume and Issue: 353, P. 122087 - 122087

Published: Oct. 15, 2023

Language: Английский

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FWNNet: Presentation of a New Classifier of Brain Tumor Diagnosis Based on Fuzzy Logic and the Wavelet‐Based Neural Network Using Machine‐Learning Methods

Computational Intelligence and Neuroscience, Journal Year: 2021, Volume and Issue: 2021(1)

Published: Jan. 1, 2021

In this paper, we present a novel classifier based on fuzzy logic and wavelet transformation in the form of neural network. This includes layer to predict numerical feature corresponded labels or classes. The presented is implemented brain tumor diagnosis. For extraction, fractal model with four Gaussian functions used. classification performed 2000 MRI images. Regarding results, accuracy DT, KNN, LDA, NB, MLP, SVM 93.5%, 87.6%, 61.5%, 57.5%, 68.5%, 43.6%, respectively. Based FWNNet illustrates highest 100% extraction method diagnosis best for architecture. However, second third high‐performance classifiers are DT Moreover, segmentation tumors. supervised layer. training process, input images sweeping filter should be reshaped vectors that correspond ground truth PSO algorithm optimize gradient descent algorithm. purpose, 80 used segment tumor. results ROC curve, it can estimated high true‐positive rate.

Language: Английский

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A Novel Highway Routing Protocol in Vehicular Ad Hoc Networks Using VMaSC-LTE and DBA-MAC Protocols

Wireless Communications and Mobile Computing, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 11

Published: Jan. 25, 2022

The vehicular ad hoc networks (VANETs) are an example of mobile networks, which utilizes dedicated short-range communication (DSRC) to establish a wireless connection between cars, and their primary purpose is provide more security comfort for passengers. These utilize communications technology collect disseminate traffic information, it required be delivered all vehicles on the network reliably quickly. One major challenges raised in VANETs that path source destination nodes disconnected due dynamic nature this network, reconnection process through new reduces performance network. This paper presents highway routing protocol overcome some these including cost, delay, packet delivery rate, overhead. NS2 used simulation, proposed compared with VMaSC-LTE DBA-MAC protocols. results simulation indicated outperforms other two protocols terms

Language: Английский

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Green synthesis of spinel copper ferrite (CuFe₂O₄) nanoparticles and their toxicity

Nanotechnology Reviews, Journal Year: 2022, Volume and Issue: 11(1), P. 2483 - 2492

Published: Jan. 1, 2022

Abstract In this study, magnetic spinel copper ferrite (CuFe 2 O 4 ) nanostructures were eco-friendly synthesized using Nasturtium officinale extract. Physicochemical properties of these determined by transmission electron microscopy, field emission scanning microscopy (FE-SEM), X-ray diffraction (XRD), vibrating sample magnetometry, and energy dispersive mapping analysis. XRD patterns conform to the CuFe formation. SEM results demonstrated ceramic with spherical surface morphologies. The cytotoxicity effect against rat pheochromocytoma (PC12) cells was evaluated based on MTT assay. had low toxicity at a concentration 250 µg/mL. It appears that can be considered as suitable candidates for drug delivery other biomedical applications, because their effects.

Language: Английский

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Analysis of a high-performance polygeneration system for efficient waste heat recovery of an organic flash cycle: Multi-criteria analysis and optimization

Applied Thermal Engineering, Journal Year: 2022, Volume and Issue: 213, P. 118772 - 118772

Published: June 6, 2022

Language: Английский

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Novel and robust machine learning approach for estimating the fouling factor in heat exchangers

Energy Reports, Journal Year: 2022, Volume and Issue: 8, P. 8767 - 8776

Published: July 7, 2022

The fouling factor (Rf) is an operating index for measuring undesirable effect of solids' deposition on the heat transfer ability exchangers. Accurate prediction helps appropriate scheduling cleaning cycles. Since diverse factors affect this feature, it sometimes hard to estimate accurately using simple empirical or traditional intelligent methods. Therefore, study employs four up-to-date machine-learning algorithms (Gaussian Process Regression, Decision Trees, Bagged Support Vector Regression) and a model (Linear as function constructing variables. 5-fold cross-validation 9268 data samples determines structure considered estimators, 2358 external datasets have been utilized models' testing. relevancy analysis confirms that most accurate predictions are achieved when square root (√Rf) simulated. Gaussian Regression (GPR) shows highest level agreement with experimental in both construction testing stages. trained GPR scored R2 value 0.98770 0.99857 internal datasets, respectively. predicts overall 11626 (Davoudi Vaferi, 2018) MAPE = 13.89%, MSE 7.02 × 10−4, R2=0.98999. proposed outperforms previously suggested artificial neural network estimating

Language: Английский

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Exergoeconomic analysis and optimization of a high-efficient multi-generation system powered by Sabalan (Savalan) geothermal power plant including branched GAX cycle and electrolyzer unit

Energy Conversion and Management, Journal Year: 2022, Volume and Issue: 268, P. 115996 - 115996

Published: July 18, 2022

Language: Английский

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A novel conformable fractional nonlinear grey multivariable prediction model with marine predator algorithm for time series prediction

Computers & Industrial Engineering, Journal Year: 2023, Volume and Issue: 180, P. 109278 - 109278

Published: May 4, 2023

Language: Английский

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