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Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: A case study
(Elsevier, 2023-01-01)
Planning treatments of different types of patients have become challenging in hemodialysis clinics during the COVID-19 pandemic due to increased demands and uncertainties. In this study, we address capacity planning decisions ...
Multi-instance learning by maximizing the area under receiver operating characteristic curve
(Springer, 2023-02)
The purpose of this study is to solve the multi-instance classification problem by maximizing the area under the Receiver Operating Characteristic (ROC) curve obtained for witness instances. We derive a mixed integer linear ...
Enhancing the performance of Piezoelectric Energy Harvester under electrostatic actuation using a robust metaheuristic algorithm
(Elsevier, 2023-02)
This study proposes a novel shape optimization methodology based on evolutionary algorithms to maximize the harvesting energy from piezoelectric energy harvester stimulated by the β-emitted radioisotope. The parametric ...
The effect of few historical data on the performance of sample average approximation method for operating room scheduling
(Wiley, 2023-01)
We model the scheduling problem of a single operating room for outpatient surgery, with uncertain case durations and an objective function comprising waiting time, idle time, and overtime costs. This stochastic scheduling ...
Modeling the lighting in scenes as style for auto white-balance correction
(IEEE, 2023)
Style may refer to different concepts (e.g. painting style, hairstyle, texture, color, filter, etc.) depending on how the feature space is formed. In this work, we propose a novel idea of interpreting the lighting in the ...
Revisiting network reconfiguration in the era of unpredictable ev charger integration
(IEEE, 2023)
An expanded network of electric vehicle (EV) chargers is required due to the rapid uptake of EVs. The voltage profile may be disturbed by the unanticipated integration of these chargers into distribution networks, potentially ...
BERT2OME: Prediction of 2′-O-methylation modifications from RNA sequence by transformer architecture based on BERT
(IEEE, 2023-06)
Recent work on language models has resulted in state-of-the-art performance on various language tasks. Among these, Bidirectional Encoder Representations from Transformers (BERT) has focused on contextualizing word embeddings ...
Illumination-guided inverse rendering benchmark: Learning real objects with few cameras
(Elsevier, 2023-10)
The realm of 3D computer vision and graphics has experienced exponential growth recently, enabling the creation of realistic virtual environments and digital representations of real-world objects. Central to this progression ...
A comparison study between 1D and 2D site response analyses based on observed earthquake acceleration records
(Springer, 2023)
The objective of the present work is to evaluate the necessity of 2D site response analysis based on the comparison among the peak ground and spectral accelerations recorded by Istanbul Rapid Response Network and Istanbul ...
Classification of hundreds of classes: A case study in a bank internal control department
(IOS Press, 2023)
The main function of the internal control department of a bank is to inspect the banking operations to see if they are performed in accordance with the regulations and bank policies. To accomplish this, they pick up a ...
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