Titlebook: Applications and Innovations in Intelligent Systems XIV; Proceedings of AI-20 Richard Ellis,Tony Allen,Andrew Tuson Conference proceedings

evince

https://doi.org/10.1007/978-3-030-55165-0 can be placed in one of four groups according to their ability to recover DNA and fingerprints from crime scenes. They also show that their ability to predict which crime scenes will yield the best opportunity of recovering forensic samples has no correlation to their actual ability to recover those samples.

ARY

Managing Restaurant Tables using Constraintscombinatorial problem. We show how to model the problem as constraint satisfaction, with extensions which generate flexible seating plans and which maintain stability when changes occur. We describe an implemented system which provides advice to users in real time. The system is currently being eval

RAFF

Use of Data Mining Techniques to Model Crime Scene Investigator Performance can be placed in one of four groups according to their ability to recover DNA and fingerprints from crime scenes. They also show that their ability to predict which crime scenes will yield the best opportunity of recovering forensic samples has no correlation to their actual ability to recover thos

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Inflammation

The Integration of Heterogeneous Biological Data using Bayesian Networks ontologies. In addition, they can produce interpretable and understandable models for knowledge discovery within complex domains by providing knowledge of casual and other relationships in the data. We have developed a system using Bayesian Networks that enables domain experts to express their know

Employee

hyperuricemia

Estimating Photometric Redshifts Using Genetic Algorithmse time. However, the analysis of photometric redshift datasets is a task where it is sometimes difficultto achievea high classification accuracy. This work presents a custom Genetic Algorithm (GA) for mining the Hubble Deep Field North (HDF-N) datasets to achieve accurate IF-THEN classification rule

Prognosis

Non-linear Total Energy Optimisation of a Fleet of Power Plantshe continuous parts of the problem are linearized and a Simplex scheme is applied. Alternatively, heuristic “bionic” optimisation methods can be used without having to linearize the problem. Weare going to demonstrate this approach by modelling power plant blocks with fast Neural Networks and optimi