The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

Showing the Quantum Mechanics-based Density Functional Theory optimisation of 3-1-BCMIYPPA where different energy levels are shown in different colours. by Mohammed Ali Alshehri (11707406)

EASP-AODV algorithm for route discovery at the intermediate node. by Tibebu Legesse (21030014)

libEnsemble: New capabilities for coordinating dynamic ensembles of calculations by John-Luke Navarro (9024008)

PSNR (dB) and SSIM of the deblurred images in noisy circumstances on VOC2012 database. by Wei Zhou (24328)

RMSE comparison in all test function (a) F1 (b) F2 (c) F3 (d) F4 (e) F5 (f) F6 (g) F7 (h) F8 (i) F9 (j) F10. by Jin Ding (11522)

Loss functions used in the synthetic data analysis to assess the numerical accuracy of the B-net and D-net estimates. by Jarod Smith (11999040)

PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

“…</p><p><br></p><p dir="ltr">In the fifth measurement technique, the numbers of sharp <b>surface projections/protrusions</b> were calculated by initially applying Canny's edge detection algorithm to generate an edge map of the cell mask image. …”

<b>Fig. 3 | Performance analysis of microrobot navigation in various environments using reinforcement learning algorithms.</b> by Mahmoud Medany (20766911)

“…<b>e.</b> Impact of different reward functions on the rate of target achievement. …”

Visual depiction of the MSA algorithm. by Kayson Fakhar (12890364)

Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

The accuracy of different algorithms for TMD on SHL and HTC datasets. by Rui Li (4631)

The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

“…<p>(A) Overview of the experimental approach (B) Schematic of the eVIP decision tree-based eVIP algorithm. …”

Iteration versus fitness function. by B. Venkatesh (17202747)

Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). by Moshe Rubanov (7289156)

“…The hydrogel location, size, shape, and composition are specified, after which an automated script is run, and the output is a chamber with photopatterned hydrogels of different sizes, shapes, and compositions. <b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …”

Two equivalent switching functions and their switching circuits. by Alrik Thiem (4008182)