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Click prediction boosting via Bayesian hyperparameter optimization-based ensemble learning pipelines
(Elsevier B.V., 2023)
Online travel agencies (OTA's) advertise their website offers on meta-search bidding engines. The problem of predicting the number of clicks a hotel would receive for a given bid amount is an important step in the management ...
Optimization of wastewater treatment systems for growing industrial parks
(Elsevier B.V., 2023)
Wastewater treatment is one of the crucial functions of industrial parks as wastewater from industrial facilities usually contains toxic compounds that can cause damage to the environment. To control their environmental ...
Decision support model for PV integrated shading system: Office building case
(Elsevier Ltd, 2023)
Office buildings have a high amount of internal heat, solar gain, daytime energy consumption and occupancy schedules. Therefore, the increment in the cooling energy demand highlights the shading systems to provide efficient ...
An MCDM approach to third party logistics provider selection
(Inderscience Publishers, 2023)
In order to focus on their main skills and be more competitive and efficient in business, firms frequently outsource their logistics functions to a third party logistics (3PL) provider. Evaluation and selection of a 3PL ...
Legal Aid Under Turkish Administrative Judicial Procedural Law
(Istanbul University Press, 2023)
In this paper, the "legal aid" mechanism, which is an institution that enables parties to participate effectively in the judicial process and "balances" interference with the right of access to court, is discussed. The ...
Healthcare 4.0 and Decision-Making Techniques in the Health Industry: A Systematic Literature Review
(Springer Nature, 2023)
The current study examines the state-of-the-art literature on using MCDM frames to solve various evaluation problems faced in the health industry. As is known, the health industry has a highly complicated and dynamic ...
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems
(Elsevier, 2023)
With an estimated five million fatal cases each year, lung cancer is one of the significant causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography (CT) scan. The scarcity and trustworthiness ...
Dual sourcing models with stock-out dependent substitution
(Elsevier, 2023)
Companies use different criteria such as lead time, cost and quality to evaluate suppliers; often using multiple suppliers with the aim of reducing stockout risk. But in many industries there may be significant differences ...
An Integrated Molecular Communication System Based on Acoustic Tweezers
(IEEE-Inst Electrical Electronics Engineers Inc, 2023)
In this work, a molecular communication link integrated with a micro-electro mechanical system (MEMS) based environment has been designed and simulated. The motivation behind this approach is to explore the possibility of ...
COVID-19 modeling based on real geographic and population data
(Tubitak Scientific & Technological Research Council Turkey, 2023)
Background/aim: Intercity travel is one of the most important parameters for combating a pandemic. The ongoing COVID-19 pandemic has resulted in different computational studies involving intercity connections. In this ...