To address these issues of the Z-statistic method we mentioned above, we multiply p(m) by (n ij+1) to have an approximate identical distribution over the gene size.
Similar to AM-FM methods, we mention the work by Knutsson et al. for representing local structures on phase using tensors [58 60].
Within the sequence-based methods, we mention the psi-BLAST algorithm, other profile search algorithms, methods using a Hidden Markov Model, and other advanced machine-learning techniques.
The methods we mentioned above cannot deal with the non-smooth righthand sides directly.
In such environments, generally, those TOA estimation methods we mentioned before become suboptimal, because in this case the strongest path is not always the direct, or Line of Sight (LOS), path.
This is reflected in the mistake in the "Methods section" where we mention that sequences were selected through PSI-BLAST.
In "Methods" section we mentioned that in MicMac the true-orthophoto is actually generated before the dense colored point cloud.
Regarding FER systems using other face analysis methods for predicting emotions, we mention the use of Local Directional Pattern LDPP) features [12] extracted from time-sequential depth videos, augmented using optical flows, and classified through Generalized Discriminant Analysis (GDA).
On the other hand, among the metaheuristic methods, we can mention neighbourhood-based algorithms like simulated annealing [ 19], GRASP [ 20], evolutionary and hybrid algorithms [ 21- 24].
