The aim of this paper is to develop a methodology which is robust for fault detection of gears under fluctuating load and speed conditions.
These key characteristics are integrated within a methodology, which is realised in a multi-agent system aimed at co-ordinating distributed computational design.
In this paper we present a methodology which is aiming to estimate the system power consumption in short time, without simulation.
Furthermore, a methodology, which is based on the principle of analogue prediction, is proposed to effectively process these ensemble forecasts for improving the performance on very short-term rainfall forecasting.
The paper addressed the importance of estimating dwell times at rail stations as flow-dependent factors, rather than as fixed values, providing a methodology which is able to capture the threefold interaction between passengers and trains and the associated snowball effect.
It will move away from the medical analogy where by the consultant gives a prescription to the client to a methodology which is more akin to therapy.
We present in this work a methodology which is relatively novel and which, we argue, contains aspects which have been under-utilised in studies of cooperative behaviour.
It was important to develop a methodology which would not require prior knowledge of the virus being extracted and to use a methodology which is widely used to extract viral RNA.
For example, constraints on time, reliance on a methodology which is not well understood at the stage of writing, and a lack of software with the ability to run the analysis may make the 'preferred analysis' impractical for certain cases.
Such a methodology, which is based on decision trees algorithm, aims at pointing out features related to molecular descriptors that in turn will lead to good free energy of binding (FEB) values on molecular docking experiments.
