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Both unsupervised (hierarchical clustering) and supervised (support vector machine) analyses of these different distributions of sequence clusters differentiated between immunized and unimmunized mice with 100% efficiency.
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This machine analyses small samples of material sent from labs across the institute.
The inclusion of computer assisted data analysis such as machine-learning derived support vector machine analyses may allow for detecting subtle changes, which are not reliably detected by visual inspection [ 30, 31].
This entails the observation of how human being would carry out the RVS machine tasks, the analyses of the motions used by human being in carrying out the tasks and the different mechanisms required in automating these motions, which resulted in the modular design solution of the multifunctional robotic end-effector capable of automatically carrying out the RVS machine maintenance.
This research method is used not only in performance tests but also in analyses of machine operator techniques (Ovaskainen et al. 2004).
Progressively sophisticated analyses of machining processes have evolved with the inclusion of effects of full three-dimensional analysis of cutting tools and complex tool/workpiece kinematics.
The electromagnetic and thermal analyses of the machine are carried out using the software of finite element analysis (FEA).
Forty-two papers were selected for the three-day meeting on relevant topics including machine dynamics, diagnostics, vibro-acoustic analyses of structures and equipment, computational techniques, modal analysis, dynamic design concepts, passive and active damping, smart actuators and sensors, intensity techniques, and non-linear problems in vibration and acoustics.
Our analyses of the machine learning results have provided insights into the factors that may be most influential in predicting rehabilitation potential – "the contents of the black box" – and also into optimal ways to categorize these variables (i.e., to define clinical cutpoints).
Mr Christian identifies what distinguishes a computer from a real person: a machine that analyses vast numbers of previous conversations to identify a suitable response becomes inconsistent, for example, because its identity is actually that of many individuals.
In analyses of the operation of multi-purpose machines, due to the high variability of operations, the accuracy of measurements is much higher.
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