Several loop patterns found in binary code. حسب Alba Pedro-Zapater (8600382)

Train test validation libraries. حسب Muhammad Usman Tariq (11022141)

الموضوعات:

ReaLigands: A Ligand Library Cultivated from Experiment and Intended for Molecular Computational Catalyst Design حسب Shu-Sen Chen (1777108)

الموضوعات:

SSA4LSMOP حسب Zongbin Qiao (19814199)

Proposed Algorithm. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

Closed search (±5ppm) comparison against Crux and MSFragger using real-world data from PRIDE repository PXD000612 (top), PXD009861 (middle), and PXD001468 (bottom). حسب Muhammad Usman Tariq (11022141)

الموضوعات:

Training parameters for SpeCollate. حسب Muhammad Usman Tariq (11022141)

الموضوعات:

Peptides. حسب Muhammad Usman Tariq (11022141)

الموضوعات:

Fig 9 - حسب Muhammad Usman Tariq (11022141)

الموضوعات:

UMAP. حسب Muhammad Usman Tariq (11022141)

الموضوعات:

Process of generating MS/MS spectra from a protein mixture using mass-spectrometry analysis. حسب Muhammad Usman Tariq (11022141)

الموضوعات:

Modifications and the character values used in the training data. حسب Muhammad Usman Tariq (11022141)

الموضوعات:

2D UMAP visualization of embedded spectra and peptide vectors generated by SpeCollate. حسب Muhammad Usman Tariq (11022141)

الموضوعات:

Fig 6 - حسب Muhammad Usman Tariq (11022141)

الموضوعات:

Online sextuplet mining for SNAP-loss. حسب Muhammad Usman Tariq (11022141)

الموضوعات:

SpeCollate: Deep Similarity Network for proteomics. حسب Muhammad Usman Tariq (11022141)

الموضوعات: