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

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

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)

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)

Friedman test average rankings of IFOX and competing optimization algorithms across CL, C17, C19, C21, C22, and RWPs. The “Position” column indicates the overall rank based on the... by Mahmood A. Jumaah (22272371)