Ardabili S - Search Results

1

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.

Band SS, Ardabili S, Yarahmadi A, Pahlevanzadeh B, Kiani AK, Beheshti A, Alinejad-Rokny H, Dehzangi I, Chang A, Mosavi A, Moslehpour M. Band SS, et al. Among authors: ardabili s. Front Public Health. 2022 Jun 23;10:869238. doi: 10.3389/fpubh.2022.869238. eCollection 2022. Front Public Health. 2022. PMID: 35812486 Free PMC article.

2

Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction.

Ecer F, Ardabili S, Band SS, Mosavi A. Ecer F, et al. Among authors: ardabili s. Entropy (Basel). 2020 Oct 31;22(11):1239. doi: 10.3390/e22111239. Entropy (Basel). 2020. PMID: 33287007 Free PMC article.

3

Modeling and optimization of the oyster mushroom growth using artificial neural network: Economic and environmental impacts.

Gundoshmian TM, Ardabili S, Csaba M, Mosavi A. Gundoshmian TM, et al. Among authors: ardabili s. Math Biosci Eng. 2022 Jul 6;19(10):9749-9768. doi: 10.3934/mbe.2022453. Math Biosci Eng. 2022. PMID: 36031966 Free article.

4

Modeling the Producibility of 3D Printing in Polylactic Acid Using Artificial Neural Networks and Fused Filament Fabrication.

Meiabadi MS, Moradi M, Karamimoghadam M, Ardabili S, Bodaghi M, Shokri M, Mosavi AH. Meiabadi MS, et al. Among authors: ardabili s. Polymers (Basel). 2021 Sep 23;13(19):3219. doi: 10.3390/polym13193219. Polymers (Basel). 2021. PMID: 34641035 Free PMC article.

5

Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction.

Claywell R, Nadai L, Felde I, Ardabili S, Mosavi A. Claywell R, et al. Among authors: ardabili s. Entropy (Basel). 2020 Oct 22;22(11):1192. doi: 10.3390/e22111192. Entropy (Basel). 2020. PMID: 33286960 Free PMC article.

6

Malignancy Arising in Dermoid Cysts: A Case Report and Literature Review.

Arab M, Ashtiani AJ, Faghih N, Ghavami B, Nouri B, Ardabili SN. Arab M, et al. Among authors: ardabili sn. J Family Reprod Health. 2023 Dec;17(4):264-268. doi: 10.18502/jfrh.v17i4.14599. J Family Reprod Health. 2023. PMID: 38807623 Free PMC article.

7

A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks.

Ardabili SZ, Bahmani S, Lahijan LZ, Khaleghi N, Sheykhivand S, Danishvar S. Ardabili SZ, et al. Sensors (Basel). 2024 Jan 7;24(2):364. doi: 10.3390/s24020364. Sensors (Basel). 2024. PMID: 38257457 Free PMC article.

8

Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network.

Khaleghi N, Hashemi S, Ardabili SZ, Sheykhivand S, Danishvar S. Khaleghi N, et al. Among authors: ardabili sz. Sensors (Basel). 2023 Nov 23;23(23):9351. doi: 10.3390/s23239351. Sensors (Basel). 2023. PMID: 38067727 Free PMC article.

9

First-trimester cesarean scar pregnancy: a comparative analysis of treatment options from the international registry.

Kaelin Agten A, Jurkovic D, Timor-Tritsch I, Jones N, Johnson S, Monteagudo A, Huirne J, Fleisher J, Maymon R, Herrera T, Prefumo F, Contag S, Cordoba M, Manegold-Brauer G; CSP Collaborative Network. Kaelin Agten A, et al. Am J Obstet Gynecol. 2024 Jun;230(6):669.e1-669.e19. doi: 10.1016/j.ajog.2023.10.028. Epub 2023 Oct 21. Am J Obstet Gynecol. 2024. PMID: 37865390 Free article.

10

Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach.

Peivandi M, Ardabili SZ, Sheykhivand S, Danishvar S. Peivandi M, et al. Among authors: ardabili sz. Sensors (Basel). 2023 Sep 29;23(19):8171. doi: 10.3390/s23198171. Sensors (Basel). 2023. PMID: 37837001 Free PMC article.

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