Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks by Zhihuang Yang (22530437)

“…By leveraging group <math><mrow><msub><mrow><mi>l</mi></mrow><mn>0</mn></msub></mrow></math>-norm constrained neural networks, the proposed approach aims to simultaneously extract crucial features and estimate the underlying model function with statistically guaranteed accuracy. …”

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

PATH⁺ correctly predicted a weaker binding affinity for HIV-1 protease with the drug-resistant G48V mutation (right, experimental kcal/mol, PDB ID: 3cyw [81]) bound to d... by Yuxi Long (11024307)

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs by Zahir Barahmand (18008947)

“…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”

Table 1_Identification of prognostic hub genes and functional role of BAIAP2L2 in prostate cancer progression: a transcriptomic and experimental study.xlsx by Xiangyang Zhan (10968681)

“…In vitro knockdown experiments were conducted in PC3 and DU145 cell lines to assess BAIAP2L2’s functional role through assays for migration, colony formation, and proliferation.…”

Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). by Jesse Wheeler (18462457)

AP values of three methods on the three datasets, including four indicators: AP @50, AP @75, AP @M, and AP @L. Experiment one is the baseline model without adding other modules, ex... by Xunqian Xu (21261899)

Amino acid sequence analysis of pB169L. by Jiaqi Li (220961)

ClaritySpectra: Raman spectra analysis tool by Aaron Celestian (9395696)

Riemann Hypothesis Solution: A Structured Hilbert-Polya Operator Realization via Entropy Geometry by Jennifer Bulyaki (22283308)

Subjects:

The values of distance (<i>l</i>_<i>i,j</i>) and running time (<i>h</i>_<i>i,j</i>) of each section <i>l</i>_<i>i,j</i><i>h</i>_<i>i,j</i>. by Zhipeng Huang (1759759)

<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

Graphical illustration of the JF algorithm. by Bernd Porr (32394)

Fig 6 - Computing generalized cophenetic distances under all <i>L</i>_<i>p</i> norms: A near-linear time algorithmic framework by Paweł Górecki (3285255)

The analytical limit of detection of the <i>Strumpellin</i> HRM PCR assay was calculated by serial dilutions of the DNA (20 ng to 2 fg) of <i>L. infantum</i> (IPT1), <i>L. tropica<... by Yusr Saadi-Ben Aoun (20469385)

Frequency response analysis of the commonly used indicator GCaMP6s, <i>k</i>_<i>f</i> = 0.0514, <i>k</i>_<i>r</i> = 7.6, <i>L</i> = 30. by Nicholas A. Rondoni (21573261)

Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i> by McKenna Feltes (11242085)

Code For Use in a Bookកូដសម្រាប់ប្រើប្រាស់ក្នុងសៀវភៅ by Sarun Horn (20899271)