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Neutron Yield Predictions with Artificial Neural Networks: A Predictive Modeling Approach.

• Authors : Schmitz, Benedikt^1,2 (AUTHOR) ; Scheuren, Stefan¹ (AUTHOR)

• Source: Journal of Nuclear Engineering (JNE). Jun2024, Vol. 5 Issue 2, p114-127. 14p.

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Optimising Building Energy and Comfort Predictions with Intelligent Computational Model.

• Authors : Alghamdi, Salah¹ (AUTHOR) ; Tang, Waiching² (AUTHOR) ; Kanjanabootra, Sittimont² (AUTHOR)

Subjects: *ARTIFICIAL neural networks; *MONTE Carlo method; *ENERGY management

• Source: Sustainability (2071-1050). Apr2024, Vol. 16 Issue 8, p3432. 18p.

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Encoder–Decoder Convolutional Neural Networks for Flow Modeling in Unsaturated Porous Media: Forward and Inverse Approaches.

• Authors : Hajizadeh Javaran, Mohammad Reza¹ (AUTHOR) ; Rajabi, Mohammad Mahdi¹ (AUTHOR) ; Kamali, Nima¹ (AUTHOR)

Subjects: *CONVOLUTIONAL neural networks; *ARTIFICIAL neural networks; *MONTE Carlo method

• Source: Water (20734441). Aug2023, Vol. 15 Issue 16, p2890. 17p.

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A Concise Review of Theoretical Models and Numerical Simulations of Membrane Fouling.

• Authors : Yang, Haiyan¹ (AUTHOR); Yu, Xuri² (AUTHOR); Liu, Junxia² (AUTHOR)

Subjects: *FOULING; *COMPUTATIONAL fluid dynamics; *ARTIFICIAL neural networks

• Source: Water (20734441). Nov2022, Vol. 14 Issue 21, p3537. 20p.

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Comparative Study on the Efficiency of Simulation and Meta-Model-Based Monte Carlo Techniques for Accurate Reliability Analysis of Corroded Pipelines.

• Authors : Seghier, Mohamed El Amine Ben^1,2 (AUTHOR) ; Spyridis, Panagiotis³ (AUTHOR) ; Jafari-Asl, Jafar⁴ (AUTHOR)

Subjects: *MONTE Carlo method; *HIGH strength steel; *PIPELINE failures

• Source: Sustainability (2071-1050). May2022, Vol. 14 Issue 10, p5830-5830. 21p.

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Dielectric Insulation in Medium- and High-Voltage Power Equipment—Degradation and Failure Mechanism, Diagnostics, and Electrical Parameters Improvement.

• Authors : Koltunowicz, Tomasz N.

Subjects: PARTIAL discharges; ARTIFICIAL neural networks; CABLE structures

• Source: Energies (19961073); Jun2024, Vol. 17 Issue 11, p2704, 4p

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Numerical Optimization of Variable Blank Holder Force Trajectories in Stamping Process for Multi-Defect Reduction.

• Authors : Guo, Feng; Jeong, Hoyoung; Park, Donghwi

Subjects: ARTIFICIAL neural networks; MACHINE learning; METALWORK

• Source: Materials (1996-1944); Jun2024, Vol. 17 Issue 11, p2578, 26p

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Upsampling Monte Carlo Reactor Simulation Tallies in Depleted Sodium-Cooled Fast Reactor Assemblies Using a Convolutional Neural Network.

• Authors : Berry, Jessica; Romano, Paul; Osborne, Andrew

Subjects: CONVOLUTIONAL neural networks; FAST reactors; ARTIFICIAL neural networks

• Source: Energies (19961073); May2024, Vol. 17 Issue 9, p2177, 26p

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A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking.

• Authors : Xuedong Wang¹ ; Tiancheng Li² ; Shudong Sun¹

• Source: Sensors (14248220). Dec2017, Vol. 17 Issue 12, p2707. 21p.

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Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep Neural Networks.

• Authors : Nguyen, Tan N.¹ (AUTHOR) ; Minh, Bui Vu² (AUTHOR) ; Tran, Dinh-Hieu³ (AUTHOR)

• Source: Sensors (14248220). Sep2023, Vol. 23 Issue 17, p7618. 19p.

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