Using Nosql Databases and Machine Learning for Implementation of Intelligent Decision System in Complex Vision Patalogies

Eremeev, Alexander; Ivliev, Sergey; Вагин, В. Н.

doi:10.1109/rpc.2018.8482230

Cited by 3 publications

(1 citation statement)

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“…The works proposed in this field are aimed at improving unsupervised learning accuracy and solution times, as denoted in [118], which discusses liver fibrosis diagnoses. Furthermore, in [119], this method was used to customize patient therapy processes and, in [120], it was used to diagnose complex vision pathologies. • Business decisions.…”

Section: Unsupervised Learningmentioning

confidence: 99%

Decision-Making under Uncertainty for the Deployment of Future Hyperconnected Networks: A Survey

Alzate-Mejía

Santos-Boada

Amazonas

2021

Sensors

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Among the several emerging dimensioning, control and deployment of future communication network paradigms stands out the human-centric characteristic that creates an intricate relationship between telematics and human activities. The hard to model dynamics of user behavior introduces new uncertainties into these systems that give rise to difficult network resource management challenges. According to this context, this work reviews several decision-making computational methods under the influence of uncertainties. This work, by means of a systematic literature review, focuses on sensor-based Internet of Things scenarios such as Smart Spaces and Industry 4.0. According to our conclusions, it is mandatory to establish a means for modeling the human behavior context in order to improve resource assignment and management.

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Section: Unsupervised Learningmentioning

confidence: 99%