Search Results - statistical algorithm

Prediction of Voice Therapy Outcomes Using Machine Learning Approaches and SHAP Analysis: A K-VRQOL-Based Analysis by Ji Hye Park, Ah Ra Jung, Ji-Na Lee, Ji-Yeoun Lee

“…Multiple regression analysis and four machine learning algorithms—random forest (RF), gradient boosting (GB), light gradient boosting machine (LightGBM), and extreme gradient boosting (XGBoost)—are applied to predict changes in K-VRQOL scores across the total, physical, and emotional domains. …”
Get full text

Explainable AI-driven intelligent system for precision forecasting in cardiovascular disease by Anas Bilal, Abdulkareem Alzahrani, Khalid Almohammadi, Muhammad Saleem, Muhammad Sajid Farooq, Raheem Sarwar

“…Typically, predicting CVDs involves using statistical models and other forms of standard machine learning. …”
Get full text

THE ROLE OF ARTIFICIAL INTELLIGENCE IN ECONOMIC TRANSFORMATION: FROM AUTOMATION TO THE DATA ECONOMY by Viktoriia Mykytas

“…However, it also raises profound concerns related to job displacement, unequal access to retraining, data privacy, and algorithmic transparency. The development of human capital through lifelong learning, digital upskilling, and educational reform is identified as a core component of economic resilience in the AI era. …”
Get full text

Concept for Parameter Design and Optimization of Surface Acoustic Wave Devices by A. S. Koigerov, A. V. Korlyakov

“…Development of a methodological approach to creation of a technology of computer-aided design of SAW filters using optimization algorithms.Materials and methods. The theoretical part of the work was carried out using statistical analysis methods, circuit theory, and coupled mode theory. …”
Get full text

Dynamic weighted ensemble model for predictive optimization in green sand casting: Advancing industry 4.0 manufacturing by Rajesh V․ Rajkolhe, Dr. Sanjay S․ Bhagwat, Dr. Priyanka V․ Deshmukh

“…The model dynamically allocates weights to top-performing algorithms based on their 10-fold cross-validated RMSE, ensuring robust and adaptive prediction performance.Five models—Linear Regression, Ridge Regression, Decision Tree, Random Forest, and Gradient Boosting—were evaluated over ten folds. …”
Get full text

SIGNAL MODEL FOR SPATIAL POSITION SENSORS IN MAGNETIC TRACKING SYSTEMS by Roman Holyaka, Tetyana Marusenkova, Dmytro Fedasyuk

“…Further development of the presented results implies the proposed signal model to be used when solving problems of developing and specifying algorithms of spatial position calculation, system debugging and rapid analysis, optimization of calibration procedures.…”
Get full text

Scientific Research in Substantiating Management, Planning, and Standardization as Factors in the Growth of the Production Potential of Agribusiness by Oliinyk Tetiana I., Shchytovska Bohdana V.

“…The research covers Ukrainian agrarian enterprises in both domestic and foreign markets from 2021 to 2023, and future research may deepen the analysis of the effectiveness of digital solutions, develop algorithms for adaptation to external risks, and improve the methodology by engaging geoinformation systems and big data. …”
Get full text

Evolutionary Genetic Analysis of the Pyrazinamidase Gene in Seven Global Populations of Mycobacterium tuberculosis by Neha Kumari, Nikhat Khan, Aparup Das

“…Before conducting tests for Darwinian natural selection in the pncA gene, we conducted several tests for neutrality in all the available DNA sequences after retrieval from public domains. Several statistical analyses under different algorithms were conducted and biological/evolutionary inferences were drawn. …”
Get full text

Relationship Between Weight Status and Health-Related Quality of Life in School-age Children in China by Mandana Zanganeh, Peymané Adab, Bai Li, Miranda Pallan, Wei J. Liu, Lin Rong, Wei Liu, James Martin, Kar K. Cheng, Emma Frew

“… # Conclusions Our results suggest no statistically significant difference in HRQOL between children with overweight/obesity compared with those with healthy weight. …”
Get full text

Enhancing Crop Health: Advanced Machine Learning Techniques for Prediction Disease in Palm Oil Tree by Nandy Manish, Kumar Yalakala Dinesh

“…This study builds predictive models by using a palmd database comprised of the large datasets of palm oil tree health indicators, environmental factors and historical disease outbreaks to identify early signs of disease with high accuracy.To analyze both structured as well as unstructured data multiple machine learning algorithms were used such as Random Forest, Support Vector Machines, Convolution Neural Networks. …”
Get full text

A comparison of quantum-inspired GMDH-HS and GMDH-GWO approaches to soil hydraulic conductivity prediction by Jamshid Piri, Parisa Kahkhamoghadam, Mohammad Mahdi Chari

“…The models incorporate quantum computing concepts (superposition, rotation gates, collapse mechanisms, and entanglement simulation) into the GMDH framework, complemented by nature-inspired optimization algorithms for better parameter estimation. Model efficiency was examined on several statistical measures for training (70 %) and testing (30 %) datasets, along with extensive comparison with conventional pedotransfer functions like Rosetta, HYPRES, and standard GMDH approaches. …”
Get full text

DYNAMIC DISCIPLINE OF PARALLEL SERVICE IN CONCEPT FLIGHT AND FLOW – INFORMATION FOR A COLLABORATIVE ENVIRONMENT by L. E. Rudel'son, S. N. Smorodskiy, V. A. Chernyshyova

“…The proposed formulae are confirmed by the results of simulation computer experiments and statistical modeling.…”
Get full text

Tracing the Evolution and Legacy of Professor A.P. Iofinov’s Scientific School by S. G. Mudarisov, R. R. Kamaletdinov

“…Iofinov’s works and his scientific school have given rise to the development of new algorithms and computer programs essential for automating the control processes of agricultural machinery and forecasting yields. …”
Get full text

Linguo-Conceptual Studies of Literary Text: Evolution of Theoretical and Methodological Approaches by I. V. Kononova, T. A. Pruczkikh

“…A  range  of  the  tasks related to the cognitive research of literary texts that could be solved by using statistical methods of corpus linguistics was determined.…”
Get full text

Spatiotemporal Gap‐Filling of NASA Deep Blue Satellite Aerosol Optical Depth Over the Contiguous United States (CONUS) Using the UNet 3+ Architecture by Jeffrey S. M. Lee, S. Marcela Loría‐Salazar, Heather A. Holmes, Andrew M. Sayer

“…Abstract Due to sensor and algorithmic constraints, satellite aerosol optical depth (AOD) retrievals are spatially incomplete and have gaps caused by clouds and bright surfaces. …”
Get full text

Diagnostic value of leukocytosis in patients presenting to the emergency department with abdominal pain: A retrospective observational study by Erkan Boğa

“…Further multicenter prospective studies are needed to validate these findings and improve diagnostic algorithms.…”
Get full text

A Versatile Gyro Inclinometer, Adaptive to the Borehole Trajectory, Based on a Uniaxial Angular Rate Sensor by Ya. I. Binder, I. A. Khazov

“…To make a GI based on a uniaxial angular velocity sensor more adaptive to the borehole trajectory thought its design modification and a comparative analysis of errors.Materials and methods. Algorithms for ideal operation of the proposed scheme in continuous mode are synthesized based on matrix transformations of coordinates and Euler equations. …”
Get full text

Integrative Analysis of Epidemiological Profile of Sensitization Clinical Laboratory Markers in Children: Cross-Sectional Study Results by L. G. Levina, L. S. Namazova-Baranova, E. A. Vishneva, K. S. Volkov, K. Y. Efendieva, A. A. Alekseeva, V. G. Kalugina, P. S. Arimova

“…The aim of the study is to develop optimal algorithms for analysis of sensitization profile in children with allergy family history, or suspected allergy, or atopy phenotype. …”
Get full text

Structure–property models of organic compounds based on molecular graphs with elements of the spatial structures of the molecules by N. A. Shulaeva, M. I. Skvortsova, N. A. Mikhailova

“…This article aims to describe, elaborate, and test a general algorithmic method for constructing the structure–property models for organic compounds.Results. …”
Get full text

Predicting weather impacts on corn production in a data-limited region using a transfer learning approach by Srishti Vishwakarma, Stephanie Morris, Abigail Snyder, Claudia Tebaldi

“…Here, we propose a transfer learning algorithm that uses high spatial resolution data from one region to project yields in another region with more limited data. …”
Get full text