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Abstract: This paper proposes a multi-objective Gannet Optimization Algorithm (MOGOA) to address the issue of unbalanced train occupancy rates in railway train operation planning. MOGOA employs an ...

Here's my unfiltered diary of swiping through Hinge's finest algorithmically-coached weirdos, and my very public breakup with ...

Abstract: Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (where M is the ...

Wang et al. (9) employed the improved sparrow search algorithm to optimize the penalty parameter C and kernel parameter g of the support vector machine (ISSA-SVM) for predicting lost circulation ...

Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...

Status: Experimental This is a public prototype that works for my demos, but does not yet cover all input scales and edge cases. Output quality varies based on model version and input structure; ...

Sjögren-Larsson syndrome (SLS) constitutes a rare genetic disorder manifesting as a complex neurocutaneous condition characterised by congenital ichthyosis, progressive neurological impairment and ...

Predictive Models in Non-Invasive Respiratory Support: Insights from Clinical and Machine Learning Models ...

aInForMID, Department of Public Health and Family Medicine, Tufts University School of Medicine, Boston, MA, USA Simulation models are of increasing importance within the field of applied epidemiology ...

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