Algorithm performance comparison. حسب Haiyan Wang (25821)

Supplementary Material for: MedReadr: Development and evaluation of an in-browser, rules-based natural language processing algorithm to estimate the reliability of consumer health articles حسب figshare admin karger (2628495)

"…Existing assessment tools are often labor-intensive, unvalidated, or limited in scope. We developed and validated MedReadr, an in-browser, rules-based natural language processing (NLP) algorithm that automatically estimates the reliability of consumer health articles for patients and providers. …"

Path planning chart for Environment 4 (15 × 15, U-shaped obstacles). حسب Tengfei Ma (597633)

"…While OP-ZOA and five other algorithms successfully escape this local optimum and achieve collision-free path completion, the SWO, BSLO, and PLO algorithms fail due to obstacle collisions. …"

The AUC of SW-Metapath2vec and benchmark algorithms on DBLP with various hyper-parameters. حسب Lang Chai (20521817)

الموضوعات:

Table 1_i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus.xlsx حسب Sakshi Gautam (10305897)

Comparison of convergence speed with other algorithms. حسب Quyuan Wang (8724972)

الموضوعات:

Schematic diagram of the experimental algorithm. حسب 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. …"

Path optimization results under different conditions: GL-SSL model’s dynamic path planning in smart port multimodal transportation, showcasing path optimization at port nodes under... حسب Jiangjiang He (9676377)

الموضوعات:

The relative transition path of the BRICS and OECD money markets, from 2007 to 2020. حسب Nasim Iranmanesh (20662473)

The relative transition path of the BRICS and OECD stock markets, from 2007 to 2020. حسب Nasim Iranmanesh (20662473)

The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation. حسب Bartosz Wieczorek (8098352)

DMTD algorithm. حسب Yunhu Huang (21402795)

الموضوعات:

The AUC of SW-Metapath2vec and benchmark algorithms with a different fraction of nodes deleted. حسب Lang Chai (20521817)

الموضوعات:

The AUC of SW-Metapath2vec and benchmark algorithms on Last.fm with various hyper-parameters. حسب Lang Chai (20521817)

الموضوعات:

Prevalence of MM patients in metropolitan France based on the MYLORD algorithm (2014–2020). حسب Cyrille Touzeau (14982494)

Data Sheet 1_i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus.docx حسب Sakshi Gautam (10305897)

Summary of descriptive statistic in for the optimization process of thirty executions with indirect search methods (gradient-based algorithms). حسب Roberto Castro-Medina (21484990)

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

DataSheet1_Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm.docx حسب Qiyuan Cui (19729288)

"…Objective<p>The aim of this study was to develop and validate a machine learning-based model to predict the development of impaired fasting glucose (IFG) in middle-aged and older elderly people over a 5-year period using data from a cohort study.…"

Data_Sheet_1_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.CSV حسب Jie Shen (31533)