Graphical representation of the dial data and its classification into epochs using our algorithm. by Eleftheria Pistolas (20313429)

Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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Algorithm assessment of temporal drought class using TPM. by Muhammad Asif Khan (7367468)

Comparison of Actual vs. Predicted values across different models used in this study. by Md Junayed Hossain (22615268)

Algorithms, data type, and accuracy. by Humaira Anzum (21416682)

“…Many researches have been undertaken to use computer vision on MRI images, and their accuracy ranges from 80–90%, new computer vision algorithms and cutting-edge transformers have the potential to improve this performance.We utilize advanced transformers and computer vision algorithms to enhance diagnostic accuracy, achieving an impressive 99% accuracy in categorizing Alzheimer’s disease stages through translating RNA text data and brain MRI images in near-real-time. …”

Data and code used in this article. by Yazhen Zhu (3595430)

Algorithm for layout stage. by Fazia Akhtar (21453122)

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Prediction percentage distribution using different algorithms applied in our research. by Md Junayed Hossain (22615268)

A summary of the features of the algorithms we use for comparison with OTVelo. by Wenjun Zhao (644283)

Schematic diagram of loop detection algorithm using image global pointer. by Hongliang Zou (20707270)

Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. by Daniel Suárez-Barrera (22676654)

S1 Data - by Zhengyu Xu (8550660)

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RF classification algorithm comparison before and after dataset expansion. by Chao Tang (10925)

Comparison of resnet classification algorithm before and after dataset expansion. by Chao Tang (10925)

Variant data used during semi-synthetic data generation. by Eric V. Strobl (16854789)

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Figure 1 from DeePathNet: A Transformer-Based Deep Learning Model Integrating Multiomic Data with Cancer Pathways by Zhaoxiang Cai (20445441)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Feature selection using Boruta algorithm. by Shayla Naznin (13014015)

“…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…”

Feature selection using the Boruta algorithm. by Guang Tu (22054865)

“…</p><p>Methods</p><p>We conducted a retrospective cohort study using data from the MIMIC-IV database, focusing on adult ICU patients with a primary diagnosis of CHD and diabetes. …”

Schematic overview of the LDD nucleation algorithm. by Marco Saltini (22209094)