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Bahar Yalcin Kavus on Muck Rack

Bahar Yalcin Kavus

As seen in: Nature
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Articles

Multi-criteria evaluation of circular e-commerce shipping pack alternatives under a spherical fuzzy environment

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By Ertugrul Ayyildiz, Tolga Kudret Karaca, Bahar Yalcin Kavus, Nezir Aydin, Melike Cari
| Nature Verified
Abstract This study presents a pure multi-criteria decision-making framework to select circular packaging alternatives for an e-commerce shipping pack that includes the outer box, void filler, sealing tape, and return handling. Packaging decisions in e-commerce are inherently multi-objective: they must protect products and reduce damage, keep total cost low, avoid dimensional-weight penalties, fit recovery infrastructure, and lower life-cycle emissions.
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Estimation of liquefaction-induced settlement of shallow foundation by machine learning with imbalanced data - Scientific Reports

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By Sinan Sargin, Guldem Korkmaz, Ahmet YILDIRIM, Bahar Yalcin Kavus, Tolga Kudret Karaca
| Nature Verified
Abstract Estimating the level of earthquake-induced liquefaction settlements in shallow foundations is essential for assessing seismic risk and designing effective soil improvement strategies. Reliable predicting methods of vertical deformations and tilting in buildings founded on shallow liquefiable soils enable the development of seismic-resilient and cost-effective foundation solutions while supporting informed decision-making in earthquake insurance and mitigation planning.
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Risk sensitive twin distributional critics with a lambda lower confidence bound for continuous control reinforcement learning - Scientific Reports

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By Onur Osman, Bahar Yalcin Kavus, Tolga Kudret Karaca, Gökalp Tulum
| Nature Verified
Abstract Off-policy actor–critic methods such as Twin Delayed Deep Deterministic Policy Gradient (TD3) are the workhorse of continuous-control reinforcement learning. However, they rely on scalar value estimates and offer no explicit way to control risk in temporal-difference targets.
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