Graph Convolution Neural Network and Deep Q-Network Optimization-Based Intrusion Detection with Explainability Analysis. [PDF]
Sensors (Basel)Mwiga K +5 more
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Deep Convolutional Neural Network Optimization for Defect Detection in Fabric Inspection. [PDF]
Sensors (Basel), 2021 Ho CC, Chou WC, Su E.
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Network design and optimization Building, optimizing and dimensioning networks of tomorrow [PDF]
Annales Des Télécommunications, 2001 Hébuterne, Gérard, Leboudec, Jean-Yves
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dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
RIS Wireless Network Optimization Based on TD3 Algorithm in Coal-Mine Tunnels. [PDF]
Sensors (Basel)Wang S, Wang F.
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Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling. [PDF]
Heliyon, 2023 Alardhi SM +3 more
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Advanced Engineering Materials, Volume 27, Issue 6, March 2025.ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
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Utilizing network optimization to mitigate rising greenspace exposure inequalities in Chinese cities from 2000 to 2050. [PDF]
Environ Sci EcotechnolFeng R +5 more
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Direct Radiation Model of Louver Shading in Office Building Shade Based on Network Optimization Method. [PDF]
Comput Intell Neurosci, 2022 He D, Jianguo C, Xing H.
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Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
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