Five models are designed using different combinations of parameters.
Feed forward back propagation neural networks are designed using different architecture in MATLAB toolbox.
Furthermore, for the benefit of assisted-reproduction and genetic banking programs protocols for the storage of cooled semen and the cryopreservation of spermatozoa were designed using different cryodiluents.
The classifier model in the pattern directed inference system is designed using different pattern classifier algorithms, viz., conventional, neural network and machine learning classifiers.
Heterogeneous systems mix different technical domains such as signal processing, analog and digital electronics, software, telecommunication protocols, etc. Heterogeneous systems are composed of subsystems that are designed using different models of computation (MoC).
Based on the modeling of an active peptide backbone in the active site of HMGR, two peptide libraries for constrained and unconstrained peptides were designed using different amino acids varying in hydrophobicity and electronic properties.
Frame models with range from five to twenty five stories were designed using different elastic stiffness ratios between the moment frame system and the whole structure (frame-bracing-hysteretic device system).
In order to efficiently identify nodes whose removal maximally destroys a network, i.e., minimizes network performance, ten structured heuristic node removal strategies are designed using different node centrality metrics including degree, betweenness, reciprocal closeness, complement-derived closeness, and eigenvector centrality.
Different parts of variant set 2 were designed using different data sets (see section 2.6).
Besides the lack of performance criteria for qPCR in food microbiology, the qPCR assays to detect foodborne pathogens described so far are designed using different methodologies (classical PCR, real-time PCR using the TaqMan® or SYBR®Green chemistry) as well as different PCR programmes and protocols.
