Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Data Sheet 1_Establishment of reliable identification algorithms for acute heart failure or acute exacerbation of chronic heart failure using clinical data from a medical information database network.pdf by Ryusuke Inoue (4617505)

“…Introduction<p>This study aimed to evaluate the validity of algorithms based on electronic health data in identifying cases of acute heart failure and acute exacerbation of chronic heart failure at multiple institutions using the Medical Information Database Network (MID-NET®) in Japan.…”

Data Sheet 1_Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models.pdf by Benedictor Alexander Nguchu (9984371)

“…</p>Methods<p>Here, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …”

Data used for the analyses in this study. by Nourin Sultana (22339463)

“…Data were collected from 3,192 complete records of ever-married women aged 15–49 years from the Bangladesh Demographic and Health Survey, 2022. …”

This contains the data used to draw Fig 7. by Loris Ibarrart (15195203)

“…We base our work on recent advances from the computer graphics community, which has developed Monte Carlo algorithms simulating linear radiation transport in physically realistic scenes, with numerical costs that remain unaffected by geometrical refinement: adding more details to the scene description does not impact the computation time. …”

This figure is similar to Fig 8, and uses the data from Figs 8, 9 and 10. by Caroline C. McGrouther (5216153)

Subjects: “…corrected biclustering algorithm…”

Dependent and independent variables summary from RECS and NHTS data. by Tanmoy Bhowmik (1776838)

Subjects:

Dual deconvolution algorithm: analysis code with experimental data by Wonshik Choi (18877660)

“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”

Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf by Jan Benedict Spannenkrebs (20595722)

“…Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. …”

Distance correlation values between parameters corresponding to the Bernalillo county (left) and Santa Fe county (right) using samples resulted from model calibrations using data f... by Cosmin Safta (11105442)

Subjects:

Data Sheet 1_Construction of a prognostic model for endometrial cancer related to programmed cell death using WGCNA and machine learning algorithms.zip by Weicheng Pan (12629762)

Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf by Gabriella Yakemow (20137758)

Algorithm: CL-selector. by Zhejun Sun (9873500)

The ANFIS algorithm details. by Mohammadmahdi Taheri (21722285)

“…In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”

Characteristics of training algorithms. by Tuan Anh Nguyen (121944)

“…The model is designed with three inputs and one output, trained using data derived from a high-performance robust controller for Electric Power Steering (EPS) systems. …”

Algorithms runtime comparison. by Meilin Zhu (688698)

“…Based on this, this paper takes the joint distribution network of agricultural products as the research object. Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

Reconstructed images using the multi-echo data. by Jia Ying (4591552)

Curves of petrol used based on statistical data. by Rana Ahmed (4923127)

“…Assuring vehicles owners of their timely arrival, cutting down on fuel usage, and improving communication using deep learning approach and optimization algorithm within the potential of IoT enabled 5G framework are the main goals. …”

Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty by Jenniffer Sobeida Moreira Choez (16933539)

“…<p dir="ltr">The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. …”

HIV screening algorithm. by Wei Li A. Koay (21094209)