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Tuned Generalised <i>k</i>-<i>ω</i> (GEKO) Turbulence Model Parameters for Predicting Transitional Flow Through Stenosis Geometries of Various Degrees
Published 2025-06-01“…For this purpose, simulations were performed using the generalised <i>k</i>-<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ω</mi></semantics></math></inline-formula> (GEKO) turbulence model to study flow through stenosis geometries with throat constrictions of 75, 50 and 25% area reduction. …”
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Applications of Multi-reduction and Multi-soliton Analysis of (2+1) Zakharov-Kuznetsov (ZK) Equation
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Generating Anticancer Peptides Sequences Using Seq2Seq Modeling and Machine Learning Methods
Published 2025-01-01“…The proposed computational approach offers a streamlined and economical alternative to traditional experimental methods, expediting the discovery of new ACPs and enhancing the accuracy of anticancer peptide predictions. The relevant models, codes, and results are also available on the authors github page at (<uri>https://github.com/mhdshl/ACP-Seq2Seq</uri>).…”
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Explainable Predictive Factors for Inter-Agency Partnership Success
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