Canonical Ig domain variants: Schematic and Ribbon representations. by Caesar Tawfeeq (21087272)

Subjects:

Multiple Sequence Alignment of IgI domains in fasta format. by Caesar Tawfeeq (21087272)

Subjects:

Monotone Cubic B-Splines with a Neural-Network Generator by Lijun Wang (176511)

“…We explore different ways of enforcing this constraint and analyze their theoretical and empirical properties. We propose two algorithms for solving the spline fitting problem: one that uses standard optimization techniques and one that trains a Multi-Layer Perceptrons (MLP) generator to approximate the solutions under various settings and perturbations. …”

Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. by Daniel Suárez-Barrera (22676654)

Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

NOISYmputer’s workflow. by Cécile Triay (12553642)

Code snippet from “Apache Dubbo” GitHub project. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

Performance assessment of Cell2Spatial on real and simulated mouse brain spatial transcriptomics (ST) data. by Huamei Li (8815955)

MD5 signature for a whole file by Paul A. Gagniuc (1818325)

Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. by Hiroyuki Ichijo (13891153)

TreeMap 2016 Stand Size Code Field (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

DeepConf: Leveraging ANI-ML Potentials for Exploring Local Minima with Application to Bioactive Conformations by Omer Tayfuroglu (4421407)

“…Our results show that the ANI-ML potentials can reproduce the bioactive conformations with mean value of the root-mean-square-deviation (RMSD) less than 0.5 Å, outperforming the limit of conventional methods. The code offers several features including but not limited to geometry optimization, fast conformer generations via single point energies (SPE), different minimization algorithms, different ML-potentials, or high-quality conformers in the smallest amount of ensemble sizes. …”

Development and characterization of a cell-type-specific gene expression reference panel from single-nucleus RNA sequencing (snRNAseq). by Brian Gural (21781982)

Inference of cell-type proportions from bulk RNAseq and dynamics during myocardial infarction in α1A-AR-KO mice. by Brian Gural (21781982)

Integrating urinary metabolomics and clinical datasets for multi-cancer detection by Dongyong Lee (18786694)

YOLO11 network architecture. by Rui He (824726)

“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”

Heatmap comparison on SSDD dataset. by Rui He (824726)

“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”

Dataset specifications. by Rui He (824726)

“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”

CCFM module architecture. by Rui He (824726)

“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”

IoU and MPDIoU as bounding box losses. by Rui He (824726)

“…However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. …”