Results 201 to 210 of about 81,533 (253)

Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete. [PDF]

Sci Rep
Onyelowe KC, Hanandeh S, Kamchoom V, Ebid AM, Imran H, Duque Vaca MA, Herrera Morales GC, Ulloa N, Arunachalam KP.   +8 more
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Hybrid Intelligent Nonlinear Optimization for FDA-MIMO Passive Microwave Arrays Radar on Static Platforms. [PDF]

Micromachines (Basel)
Zhang Y, Li W, Yang B, Zhu C, Dong K.
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Classification Prediction of Jujube Variety Based on Hyperspectral Imaging: A Comparative Study of Intelligent Optimization Algorithms. [PDF]

Foods
Liu Q, Zhou J, Wu Z, Ma D, Ma Y, Fan S, Yan L.   +6 more
europepmc   +1 more source

Advancing cardiac diagnostics: high-accuracy arrhythmia classification with the EGOLF-net model. [PDF]

Front Physiol
Tenepalli D, Navamani TM.
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Point cloud registration based on surface feature extraction and an improved Grey Wolf Optimization algorithm. [PDF]

Sci Rep
Tu Z, Xie Y, Jiang J, Qin Q.
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Optimizing methane flux prediction and key feature identification based on a novel hybrid machine learning model. [PDF]

iScience
Gu X, Yao L, Xiao X, Wu L, Yu H.
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Continent-wide view of genomic diversity and divergence in the wolves of Asia. [PDF]

Commun Biol
Hennelly LM, Parreira BR, Noble A, Scharff-Olsen CH, Aytekin MÇK, Şekercioğlu ÇH, Kosintsev P, Paule L, Hulva P, Stenøien HK, Habib B, Fatima H, Sarwar G, El-Haddad SP, Youssef A, Hailer F, Sun X, Martins NFG, Gilbert MTP, Sacks BN, Sinding MS, Gopalakrishnan S.   +21 more
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Cost-efficient variable-fidelity machine learning for globalized optimization of microwave structures. [PDF]

Sci Rep
Koziel S, Pietrenko-Dabrowska A, Szczepanski S.   +2 more
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Multi-criteria decision model for multicircular flight control of unmanned aerial vehicles through a hybrid approach. [PDF]

Sci Rep
Basil N, Marhoon HM, Sabbar BM, Mohammed AF, Albahri O, Albahri A, Alamoodi A, Sharaf IM, Amsal AM, Ahmed M, Ali E, Ghoneim SSM.   +11 more
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System Reliability Optimization Using Gray Wolf Optimizer Algorithm

Quality and Reliability Engineering International, 2016
For the past two decades, nature‐inspired optimization algorithms have gained enormous popularity among the researchers. On the other hand, complex system reliability optimization problems, which are nonlinear programming problems in nature, are proved to be non‐deterministic polynomial‐time hard (NP‐hard) from a computational point of view.
Anuj Kumar, Sangeeta Pant, Mangey Ram
openaire   +1 more source