The comparison of results before and after using the preprocessing method is presented, including the distribution functions of the average prediction error in 10 runs under three... by Xiaorui Wu (8322705)

Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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Python implementation from Symplectic decomposition from submatrix determinants by Jason L. Pereira (11598632)

“…Python implementation of the algorithm and demonstration of how to use the functions.…”

Network life cycle as a function of the number of nodes deployed. by Changcheng Li (163757)

GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

“…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”

Pseudo-code of MWOA algorithm. by Yi-Qiang Xia (20161326)

“…In essence, it prevents algorithms from settling for suboptimal solutions too soon, encouraging exploration of a broader solution space before converging, by incorporating cauchy variation and a perturbation term, MWOA achieve optimization over a wide search space. …”

Kinematic features for all patients before (PRE) and one year after surgery (P1Y) as well as all control group values. by Xavier Gasparutto (8374578)

Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

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One iteration of the NSGA-II algorithm. by Erick Axel Padilla-García (16839233)

Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

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Characteristics of the metabolic models used in the study before and after the application of the community gap-filling method. by Dafni Giannari (11632200)

Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

The workflow used to analyze imbalanced and balanced sequences. by Solomon Shiferaw Beyene (9143178)

Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). by Solomon Shiferaw Beyene (9143178)

Accuracy, sensitivity, specificity and F-score. by Solomon Shiferaw Beyene (9143178)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

DataSheet2_Building a network with assortative mixing starting from preference functions, with application to the spread of epidemics.pdf by Razvan G. Romanescu (19330324)

DataSheet1_Building a network with assortative mixing starting from preference functions, with application to the spread of epidemics.pdf by Razvan G. Romanescu (19330324)

Optimization results of different algorithms. by Haijian Wang (746739)

“…Subsequently, the constraint conditions and objective functions were determined. Moreover, the multi-objective genetic algorithm optimized the structural block brake design. …”

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

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