Search Results - statistical algorithm

Teaching a neural network modeling socio-economic development of the region by S. V. Romanchukov, O. G. Berestneva, L. A. Petrova

“…At the same time, however, it should be noted that the resources of an individual research team may be (and most likely will be) insufficient to create their own software solution for the implementation of machine learning algorithms from scratch. The use of third-party cloud-based software platforms (primarily IBM and Google infrastructures) allows to bypass the problem of the research team’s lack of expensive material and technical base, however they impose a number of limitations dictated by the requirements of the existing machine learning algorithms and the specific architecture provided platforms This puts the research team in front of the need to prepare the accumulated data set for processing: reducing the dimension, checking the data for compliance with the platform requirements and eliminating potential problem areas: “data leaks”, “learning distortions” and others. …”
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Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes. by Helene Bei Thomsen, Livie Yumeng Li, Anders Aasted Isaksen, Benjamin Lebiecka-Johansen, Charline Bour, Guy Fagherazzi, William P T M van Doorn, Tibor V Varga, Adam Hulman

“…We aimed to evaluate algorithmic fairness in glucose predictions. This study utilized continuous glucose monitoring (CGM) data from 101 White and 104 Black participants with type 1 diabetes collected by the JAEB Center for Health Research, US. …”
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Predicting Hit Songs Using Audio and Visual Features by Cheng-Yuan Lee, Yi-Ning Tu

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La mobilité quotidienne dans les grandes villes du monde : application de la théorie des réseaux bayésiens by Giovanni Fusco

“…At the frontier between multivariate statistics and artificial intelligence, Bayesian networks are a powerful tool to model systemic knowledge. …”
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Mental Health Classification Using Machine Learning with PCA and Logistics Regression Approaches for Decision Making by Hendra Hendra, Mustafa Mat Deris, Ika Safitri Windiarti

“…Mental health statistics come with numerous challenges, beginning with data integrity. …”
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Generalized Logistic Maps in the Complex Plane: Structure, Symmetry, and Escape-Time Dynamics by Krzysztof Gdawiec, Muhammad Tanveer

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MicroRNA-dependent mechanisms of taxane resistance in breast cancer by V. S. Apollonova, E. I. Sidina, E. V. Tkachenko, A. V. Malek

“…Breast cancer (BC) has a leading position in the statistics of oncological morbidity and mortality among women. …”
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A Data-Driven Monitoring System for a Prescriptive Maintenance Approach: Supporting Reinforcement Learning Strategies by Joaquín Ordieres-Meré, Antonio Sánchez-Herguedas, Ángel Mena-Nieto

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Implementing the Fourier transform in a sensor: a benchmark application for neuromorphic acoustic sensing by Hermann Folke Johann Rolf, Petro Feketa, Alexander Schaum, Thomas Meurer

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A dual domain systematic review and meta-analysis of risk tool accuracy to predict cardiovascular morbidity in prehypertension and diabetic morbidity in prediabetes by William J. Waldock, Nicholas Tekkis, Joe Zhang, Hutan Ashrafian

“…ObjectiveHealth forecasting predicts population trends through risk prediction algorithms which can estimate the risk of future disease developing. …”
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Transforming Chiller Plant Efficiency with SC+BAS: Case Study in a Hong Kong Shopping Mall by Fong Ming-Lun Alan, Li Baonan Nelson

“…The application of SC+BAS falls into the realm of advanced Trim/Respond algorithms coupled with sophisticated sequencing algorithms that allow for refined optimization of the chiller operations in response to the dynamic demands of urban infrastructure. …”
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Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Dataset from the Festival of Lights in Lyon by Oscar Dufour, Huu-Tu Dang, Jakob Cordes, Raphael Korbmacher, Mohcine Chraibi, Benoit Gaudou, Alexandre Nicolas, Antoine Tordeux

“…Abstract The dynamics of dense crowds have received considerable attention from researchers seeking fundamental understanding or aiming to develop data-driven algorithms to predict pedestrian trajectories. However, current research mainly relies on data collected in controlled settings. …”
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Information system for assessing the informativeness of an epidemic process features by Ксенія Базілевич, Олена Кіріленко, Юрій Парфенюк, Сергій Яковлев, Сергій Кривцов, Євген Меняйлов, Вікторія Кузнєцова, Дмитро Чумаченко

“…This study contributes to the current body of knowledge by providing specific examples of applying the described algorithmic models, comparing various methods and their outcomes, and developing a supportive tool for analyzing epidemic processes. …”
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The Integration of Educational Robotics and Artificial Intelligence in Learning AI Concepts by Mohammed FAKIRI, Mohamed KHALDI

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From LMS to adaptive training systems by Y. B. Popova

“…Expertise systems, the theory of fuzzy sets and fuzzy logic, cluster analysis, as well as genetic algorithms and artificial neural networks are defined as the mechanisms for implementing the learning systems. …”
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Cytomegalovirus Infection in Adolescents of Russian Federation: Results of Cross-Sectional Population Analysis of Seroprevalence by Ekaterina Yu. Dubonosova, Leyla S. Namazova-Baranova, Elena A. Vishneva, Nikolay A. Mayanskiy, Tatiana V. Kulichenko, Margarita A. Soloshenko

“…Clear understanding of epidemiology and determination of focus population groups is crucial for development of measures and algorithms of congenital CMVI prevention.Objective. …”
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PHYSICAL METHODS OF REHABILITATION IN CANCER PATIENTS AFTER COMBINED MODALITY TREATMENT FOR BREAST CANCER by V. E. Tishakova, E. V. Filonenko, V. I. Chissov, N. A. Efimenko, A. N. Urlova

“…According to worldwide statistics breast cancer is the most common cancer in women. …”
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Biobank data for studying the genetic architecture of osteoporosis and developing genetic risk scores by E. A. Sotnikova, A. V. Kiseleva, A. N. Meshkov, A. I. Ershova, A. A. Ivanova, M. A. Kolchina, V. A. Kutsenko, I. A. Skripnikova, O. M. Drapkina

“…The lower effect size or frequency of a variant is, the larger the sample size is required to achieve statistically significant data on associations. Therefore, the studies involving hundreds of thousands of participants based on biobank data can identify the largest number of variants associated with BMD. …”
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Feasibility of Digitally Identifying and Minimizing Stressors in Palliative Care Workplaces by Measuring Stress Continuously for Nurses Through Wearable Sensors (DiPa): Protocol fo... by Aaron Seehausen, Wencke Chodan, Florian Höpfner, Carolin Schneider, Sabine Felser, Hugo Murua Escobar, Mario Aehnelt, Christian Junghanss

“…Data analysis using machine learning algorithms will be implemented once sufficient data are gathered. …”
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Metrics and Science Monograph Collections at the Marston Science Library, University of Florida. by Michelle F. Leonard, Stephanie C. Haas, Vernon N. Kisling

“…While data collection techniques are still not standardized and results may be skewed because of granularity problems, faulty algorithms, and a host of other factors, useful baseline data is extractable and broad trends can be identified. …”
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