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Inventory routing for the last mile delivery of humanitarian relief supplies
(Springer Nature, 2020-09)
Fast and equitable distribution of the humanitarian relief supplies is key to the success of relief operations. Delayed and inequitable deliveries can result in suffering of affected people and loss of lives. In this study, ...
Load profile segmentation for electricity market settlement
(IEEE, 2020-09)
An unsupervised learning method is used to create clusters for electricity load profiles within a group of real customers. A time-series analysis method (hierarchical clustering) is adopted. A case study is conducted with ...
MaLeFICE: Machine learning support for continuous performance improvement in computational engineering
(Wiley, 2022-04-25)
Computer aided engineering (CAE) practices improved drastically within the last decade due to ease of access to computing resources and open-source software. However, increasing complexity of hardware and software settings ...
A math-heuristic approach for two echelon vendor managed inventory routing problem
(IEOM Society, 2021)
This paper studies a two-echelon vendor managed inventory routing problem of a honey packager company that delivers packaged products from a single facility to multiple retailers and customers. The objective is creating a ...
Predicting the risky encounters without distance knowledge between the ships via machine learning algorithms
(Elsevier, 2023-07-01)
As the maritime traffic is getting denser, the number of encounters is increasing. The aim of this study is to develop a prediction model to classify encounters as risky or non-risky when two ships encounter in a certain ...
Sorec: Self-organizing and resource efficient clustered blockchain network
(Elsevier, 2023-09)
With the emergence of Industry 4.0, the features of the technologies that are utilized in broad range of areas are obliged to change according to the new necessities. Especially, the network requirements have to be adopted ...
SUTSEC: SDN Utilized trust based secure clustering in IoT
(Elsevier, 2020-09-04)
Internet of Things (IoT) technology consists of huge number of heterogeneous devices that create enormous amount of data. Providing a robust communication for billions of devices is one of the most significant challenges ...
A machine learning approach to deal with ambiguity in the humanitarian decision-making
(Wiley, 2023-09)
One of the major challenges for humanitarian organizations in response planning is dealing with the inherent ambiguity and uncertainty in disaster situations. The available information that comes from different sources in ...
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