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Hybrid feedforward neural network for pressure vessel internal corrosion prediction: integrating chemical models with inspection data for structural integrity assessment

• Authors : Pascal, Mina

Subjects: pipeline corrosion; corrosion; Pressure vessels

• Source: Fracture and Structural Integrity; Vol. 20 No. 76 (2026): April 2026; 49-66Frattura ed Integrità Strutturale; V. 20 N. 76 (2026): April 2026; 49-66

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Artificial neural network approach for predicting enzymatic hydrolysis of steam exploded pine wood chip in mild alkaline pretreatment

• Authors : Hyeon Cheol Kim; Si Young Ha; Jae-Kyung Yang

Subjects: pine wood; enzymatic hydrolysis; artificial neural network

• Source: BioResources, Vol 20, Iss 4, Pp 8400-8419 (2025)

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An improved human pose estimation using Deep Neural Network for the optimization of human-robot interactions

• Authors : Ravi Raj; Andrzej Kos

Subjects: Àrees temàtiques de la UPC::Informàtica::Robòtica; Human pose estimation; Deep learning (DL)

• Source: International Journal of Electronics and Telecommunications. :1-10

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Predicting the Displacement of Single Battered Pile in Sandy Soil under Pullout Loading Using Artificial Neural Network

• Authors : Ahmed Mohammed Najemalden

Subjects: Artificial neural network; PLAXIS 3D; Parametric study

• Source: Tikrit Journal of Engineering Sciences, Vol 32, Iss 2 (2025)

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A Neural Network-Based Predictive Model for Forest Fire Management in Michoacán

• Authors : José Luis Martínez Alcántar; Jhacer Kharen Ruiz Garduño; Claudia Teresa González Ramírez

• Source: International Journal of Combinatorial Optimization Problems and Informatics. 17:332-340

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Prediction of cadmium removal efficiency by emulsion liquid membrane using an artificial neural network

• Authors : Esam Jasim; Suheila Akkar; Mustafa Hathal

• Source: Iraqi Journal of Chemical and Petroleum Engineering. 26:119-131

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Comparative Analysis of Neural Network Architectures for FFT Magnitude Spectrum Estimation

• Authors : Zeynep Kaya

• Source: Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi. 12:681-692

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Green growth or pollution haven? Investigating the nexus between carbon emissions, FDI, and trade openness based on artificial neural network

• Authors : Abdelsamiea Tahsin Abdelsamiea; Kamel Garfa; Elsayed A. Embaby

• Source: International Journal of Innovative Research and Scientific Studies. 8:133-141

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Modeling Nonlinear Inductor, Resistor, and Buck Converter Using NARX Neural Network

• Authors : Hayder D. Almukhtar; Bayadir A. Issa; Mohammed K. Alkhafaji

• Source: Kufa Journal of Engineering. 16:191-206

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Modeling quality changes in heat-processed orange juice: a comparative study of artificial neural network and multiple linear regression approaches

• Authors : Asiye Akyıldız; Tüba Şimşek Mertoğlu; Nuray İnan Çınkır

Subjects: Meyve-Sebze Teknolojisi; Yapay sinir ağı; çoklu doğrusal regresyon

• Source: Volume: 29, Issue: 2237-254Harran Tarım ve Gıda Bilimleri Dergisi

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