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User and channel information are aggregated to the cloud, facilitating optimized decision making.
Data is essential for optimized decision making.
An optimized decision making algorithm might be able to make tighter control possible.
As a result, an improved neural classifier is proposed, in which balanced learning with optimized decision making are introduced to enable effective learning from imbalanced samples.
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We propose a time-optimized decision making model that yields different sizes of groups-of-pictures (frames) to meet the previously discussed objectives i.e., transmit video sequences in acceptable quality with rational use of the wireless resources.
However, asynchronous services in telemedicine technologies are also used to support decentralized services, offering to specialists more flexibility related to response time as well as a more optimized basis for decision making.
So, GA-based approach can do the optimized decision and make the data processing have the fastest execution efficiency and minimum cost.
In order to prevent subjective or arbitrary behavior in bid evaluation process, a dynamic engineering Multi-Criteria Decision Making Model optimized by entropy weight was proposed.
SD&ML has described the use of SRL through different use cases, such as defining component rank using an importance measurement score, and strategic decision making using an optimized resource algorithm [6, 7].
Software that provides the computer-aided decision making system will be optimized and made available to the academic community as a web-based application, as well as a software tool on portable personal computing devices.
In addition, with the end-to-end transparency over the manufacturing process, Industrie 4.0 is also potential to facilitate optimized decision-making [13].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com