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Loan management is a complex process that coordinates agreements among multiple stakeholders in such a way that each party benefits from the arrangement [2]. At the core of our work there is the Asset Token (ATK) which is a compliant ERC-20 token and used for all financial transactions in our proposed system. With this token in our private blockchain network [1], stakeholders can interact in a digital market. Our work includes a Non-Fungible Vehicle Token (VTK) and represents the physical vehicle. Users has access to the ownership of this NFT which prevents fraudulent transactions.
Forensic Crime Scene Investigators (FCSIs) are forensic practitioners who are key components to the investigative process within a legal framework. In fact, the criminal justice system considers the scientific evaluation and forensic evidence collection to be the most significant aspect of any criminal investigation and court cases. Despite this, limited literature exists on the psychological effects experienced by FCSIs from processing gruesome crime scenes on a regular basis.
In parallel and distributed computing environments, task scheduling, where the basic idea is minimizing time loss and maximizing performance, is an absolutely critical component. Scheduling in these environments is NP-hard, so it is important that we continue to search and find the most efficient and effective ways of mapping tasks to processors. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the foraging behavior of ants in their colonies to find the shortest paths between their nests and food sources.
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