Functional annotation and PPI analysis of turquoise module genes. by Minhui Xi (20114243)

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

Subjects:

Test results of multimodal benchmark functions. by Ruiyu Zhan (21602031)

Fixed-dimensional multimodal reference functions. by Ruiyu Zhan (21602031)

Test results of multimodal benchmark functions. by Ruiyu Zhan (21602031)

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

Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems) by L. D. Marks (1949689)

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)

Spectrograms extracted from the generalized S-transform corresponding to the adjustment parameters λ_<i>G</i> = 0.05, λ_<i>L</i> = 0.01. by Li Jiashen (20552690)

Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ_<i>G</i> = 2, adjusting the size of the parameter λ_<i>L</i>. by Li Jiashen (20552690)

Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ_<i>L</i> = 10, adjusting the size of the parameter λ_<i>G</i>. by Li Jiashen (20552690)

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

Subjects:

AP values of different methods on the three datasets, including four indicators: AP@50, AP@75, AP@M, and AP@L. by Xunqian Xu (21261899)

Highly Accurate Prediction of Core Spectra of Molecules at Density Functional Theory Cost: Attaining Sub-electronvolt Error from a Restricted Open-Shell Kohn–Sham Approach by Diptarka Hait (2835971)

Subjects:

Highly Accurate Prediction of Core Spectra of Molecules at Density Functional Theory Cost: Attaining Sub-electronvolt Error from a Restricted Open-Shell Kohn–Sham Approach by Diptarka Hait (2835971)

Subjects:

AP values of three loss functions on the three datasets, including four indicators: AP@50, AP@75, AP@M, and AP@L. by Xunqian Xu (21261899)

Algorithm timings on a laptop computer with Intel i9–9900K CPU, 32GB RAM and an NVIDIA RTX2080 GPU. by Adam L. Tyson (10892822)