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A search for leptonic photon Z_l at all three CLIC energy stages by using artificial neural networks (ANN)

• Authors : Kara, S. O.; Akkoyun, S.

Subjects: High Energy Physics - Phenomenology

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Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights.

• Authors : Kuang, Zhen^1,2 (AUTHOR); Su, Junyu¹ (AUTHOR) ; Latifian, Ahmad³ (AUTHOR)

• Source: Scientific Reports. 12/30/2024, Vol. 14 Issue 1, p1-14. 14p.

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Utilizing artificial neural networks (ANN) for predictive modeling of sulfate removal from water.

• Authors : KARADURMUŞ, Erdal¹; GÖZ, Eda² ; KELEŞ, Cankat¹

• Source: Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi. Dec2024, Vol. 42 Issue 6, p1866-1875. 10p.

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الأهمية النسبية بدلالة الشبكات العصبية الاصطناعية (ANN) لبعض متغيرات الكفاءة القوامية والبدنية لحالات إنحراف العمود الفقري ومستوي أداء الضرب الساحق لناشئات الكرة الطائرة.

• Authors : سمير عبد النبي شع¹; أميرة عبد الحميد²; السعيد عبد الحمي³

• Source: Journal of Applied Sports Sciences - Arabic. Sep2024, Vol. 10 Issue 121, Part 2, p34-53. 20p.

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UAS LiDAR height, density, and intensity parameters and multispectral reflectance in artificial neural networks (ANN) for winter wheat biomass estimations over a growing season

• Authors : Bates, Jordan; Jonard, François; Bajracharya, R.

Subjects: Life sciences; Environmental sciences & ecology; Physical, chemical, mathematical & earth Sciences

• Source: AGU Fall Meeting, San Francisco, United States - California [US-CA], December 11-15, 2023

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Prediction of UCS values using basic geotechnical soil parameters via regression and Artificial Neural Networks ANN

• Authors : Alqudah, Mudhaffer; Saleh, Haitham; Yasarer, Hakan

Subjects: UCS; Artificial Neural Networks (ANN); multi-linear regression (MLR)

• Source: Insight - Statistics; Vol. 8 No. 1 (2025); 703 ; 2661-3115

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Effect of Input Usage on Wheat Yield: An Application of Artificial Neural Networks (ANN).

• Authors : Demirel, M. H.¹; Sengul, Z.² ; Baran, M. F.³

Subjects: *ARTIFICIAL neural networks; *PESTICIDE residues in food; *WHEAT

• Source: Journal of Agricultural Science & Technology. 2024, Vol. 26 Issue 2, p233-245. 13p.

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Comparing the Utility of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) on Sentinel-2 MSI to Estimate Dry Season Aboveground Grass Biomass.

• Authors : Vawda, Mohamed Ismail¹ (AUTHOR) ; Lottering, Romano¹ (AUTHOR) ; Mutanga, Onisimo¹ (AUTHOR)

Subjects: *ARTIFICIAL neural networks; *CONVOLUTIONAL neural networks; *DEEP learning

• Source: Sustainability (2071-1050). Feb2024, Vol. 16 Issue 3, p1051. 18p.

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Identifying factors affecting event tourism: bibliometric approach and artificial neural networks (ANN)

• Authors : Ameneh Khadivar; Zeinab Hashemi baghi

Subjects: bibliometric; event tourism; neural networks

• Source: Muṭāli̒āt-i Mudīriyyat-i Gardishgarī, Vol 19, Iss 67 (2024)

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Modeling and optimization of microwave-assisted extraction of total phenolics content from mango (Mangifera indica) peel using response surface methodology (RSM) and artificial neural networks (ANN)

• Authors : David Ramírez-Brewer; Somaris E. Quintana; Luis A. García-Zapateiro

Subjects: Mango peel; Natural extracts; Microwave-assisted extraction

• Source: Food Chemistry: X, Vol 22, Iss , Pp 101420- (2024)

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