Sentence examples for characterization of input from inspiring English sources
The characterization of input material for cell-based therapy bioprocesses from multiple donors is necessary to identify and understand the potential implications of input variation on process development.
This subtyping depends on the characterization of input and output variables of the mathematical model.
Robust stability is guaranteed using a Lyapunov characterization of input-to-state stability, whereas improved performances under vibrations and disk surface defects are demonstrated using two blu-ray disk drive setups.
A thorough characterization of the input sample of EAF dust was performed.
To consider simultaneously both the amplitude and frequency changes, time frequency varying deterministic functions have been introduced in the characterization of the input process.
The characterization of the input parameters is an important step of the definition of the reference model (section 'Parameter description') and must be done with great care.
Sections 3 and 4 are devoted to the characterization of the input impedance of the power line network and its channel response, respectively.
Deep learning is by learning a kind of deep nonlinear network structure and implementing complex function approximation, according to the characterization of the input data distributed, and in the case of sample set, the essence characteristic of the data set [63] is seldom studied.
Following initial step induction system characterization of step input response time, expression of both the reference (Sc-RFP) and output (AS-YFP) protein was shown to be fast and responsive to multistep inputs.
Our characterization of presynaptic inputs to V1 and V2b INs showing the V2b INs receive inputs from neurons in the dorsal horn (F Stam and MG, unpublished findings) is a strong indication that inhibitory IbINs are derived from the V2b IN population.
Most of the reported research work is done on characterization of single-input single-output (SISO) CDMA systems and is based only on approximations, such as the standard Gaussian approximation (SGA) [1], improved Gaussian approximation (IGA) [2] and simplified IGA (SIGA) [3].
