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The presented algorithm was designed to analyse numerous Raman spectra of metal-rich atmospheric particles.
The presented algorithm was designed for indoor environments that are rich in objects that can be represented by line segments.
The presented algorithm was executed and validated on both synthetic and field data from the Eastern Kahang region in Iran.
The presented algorithm was found to successfully handle the multi-objective nature of the simultaneous design and operation of batch distillation columns.
The presented algorithm was implemented in MATLAB and tested using two different power networks with detailed substation configurations (bus/breaker models) including a modified version of the IEEE Reliability Test System 1996.
In comparison to other approaches, the presented algorithm was designed to be apart of any generic EMS and it does not require to be associated with a prepared statistical or historical databases, or even to get connected to any kinds of sensors.
Similar(48)
The presented algorithm is completely different from existing methods.
The presented algorithm is specifically designed for large-scale problems.
The presented algorithm is supported by means of simulations.
In addition a detailed discussion of the truncation error of the presented algorithm is given.
The presented algorithm is constructed to yield the geometric scaling factors in a self-consistent way.
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CEO of Professional Science Editing for Scientists @ prosciediting.com