Overview of the TWRCI algorithm. by Eric V. Strobl (16854789)

Subjects:

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

Description of data sources. by Gowtham A. Rao (8261928)

“…<div><p>Objective</p><p>This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics.…”

Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance by Edgar Vega (21981590)

“…Twelve machine learning models were evaluated and refined using Bayesian hyperparameter optimization. The CatBoost algorithm emerged as the most effective model, achieving the lowest mean absolute error (20.92 W/g) and root mean squared error (39.41 W/g), along with a high coefficient of determination (R² = 0.98). …”

Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

“…Second, the egg carrier structure is designed, the material properties are analysed, and key parameters such as deformation are simulated by SolidWorks and Ansys Workbench. Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”

Kepler algorithm flowchart. by Yu Jie Guang (22184340)

Subjects:

The main components and data flow of the proposed algorithm. by Raed Alharthi (18340157)

Overview of lr-kallisto pseudoalignment algorithm. by Rebekah K. Loving (16988427)

Comparisons of the measured and simulated data of phenological stages (day of year) using the different calibration algorithms. by Yonghui Zhang (279832)

Subjects:

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”

Study inclusion and exclusion flowchart. by Jia Wei (120974)

“…Relying solely on diagnostic codes for CAP surveillance leads to substantial under-detection; combining EHR data across multiple algorithms enhances identification accuracy. …”

Code and data for <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i> by Gianlucca Zuin (20108547)

“…<p dir="ltr">Data and code for easy reproducibility of results described in the paper <i>Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms</i><i>, </i>published on the IEEE TrustCom-2024 (23rd IEEE International Conference on Trust, Security and Privacy in Computing and Communications).…”

Reference set of diverse topological and structural variants of Ig domains from the SCOP b.1 Superfamily. (see supplement file S7 Data, for the corresponding spreadsheet). It inclu... by Caesar Tawfeeq (21087272)

Data_Sheet_1_Curriculum guide for teaching house officers and faculty: applying procedure codes effectively using chemical denervation as a model.PDF by Maryam Berri (17330017)

Data_Sheet_2_Curriculum guide for teaching house officers and faculty: applying procedure codes effectively using chemical denervation as a model.PDF by Maryam Berri (17330017)

Table 11. Prediction of MV and MW values of test data using various algorithms..docx by Negar kheirkhahan (19570372)

Table 10. Prediction of COM and MR values of test data using various algorithms..docx by Negar kheirkhahan (19570372)

Algorithm framework. by Zongjin Li (38031)

Subjects:

Federated averaging algorithm. by Yan Qin (118276)

The denoising performance of the algorithm in this article. by Jing Xiang (267561)