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Identification of television images in vision systems based on mathematical apparatus of cubic normalized B-splines
Published 2017-12-01“…The resulting spline-differentiation algorithm is used for mathematical modeling. …”
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Machine Learning-Based Pathomics Model to Predict the Prognosis in Clear Cell Renal Cell Carcinoma
Published 2024-12-01“…The machine learning-based pathomics model effectively predicts the OS of ccRCC patients and differentiates between subtypes. The critical roles of the immune-related gene CTLA4 and the PI3K-Akt, HIF-1, and MAPK signaling pathways offer new insights for further research on the molecular mechanisms, diagnosis, and treatment strategies for ccRCC.…”
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Method of investigating thermal fluctuation processes in problems of diagnostics and prediction of insulating materials
Published 2017-10-01“…Mathematical models that describe the layer-by-layer temperature distribution of the cable line in accordance with the theory of thermal conductivity using Fourier differential equation are proposed. A generalized algorithm for the operation of the PCL parameters monitoring recorder is created. …”
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Immune Infiltration of Ulcerative Colitis and Detection of the m6A Subtype
Published 2022-01-01“…These two patient groups were created by clustering three m6A gene expression datasets. …”
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Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis
Published 2025-08-01“…Early identification and accurate diagnosis of AAV is crucial for improving prognosis. However, research on biomarkers associated with AAV is limited. …”
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GENDER ASPECTS FOR THE MANAGEMENT OF PERSISTENT PULMONARY HYPERTENSION IN PREMATURE INFANTS
Published 2025-04-01“…Levels of urinary 8-hydroxy-2-deoxyguanosine on the 3rd-5th day of life were significantly higher in boys of both groups. The created algorithm of a differentiated approach to the management of persistent pulmonary hypertension includes the calculated diagnostic coefficient of the male sex (I=1.04) as a predictor of the development of severe pulmonary hypertension by the 3rd-5th day of life. …”
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A Deep Learning Method for the Automated Mapping of Archaeological Structures from Geospatial Data: A Case Study of Delos Island
Published 2025-06-01“…The integration of artificial intelligence (AI), specifically through convolutional neural networks (CNNs), is paving the way for significant advancements in archaeological research. This study explores the innovative application of the so-called Mask Region-based convolutional neural network (Mask R-CNN) algorithm in a GIS environment, utilizing high-resolution satellite imagery from the WorldView-3 system. …”
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SYNTHESIS OF THE TECHNICAL CONTROL SYSTEMS WITH VARIABLE STRUCTURE
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Mitochondrial-Localized Protein Transcript Abundance can Predict the Prognosis of Endometrial Carcinoma: A Retrospective Analysis
Published 2023-04-01“…The objective of this research was the creation of better tools for predicting UCEC patient survival to provide more accurate and effective treatment strategies. …”
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An Enterprise-Naming Inspiration in the United States
Published 2025-06-01“…This essay seeks to uncover the extent of the panhandle-naming phenomenon, trace panhandle namegiving back through time, and create a corpus of panhandle-named enterprises. Data collection tools involved standard online searches; Google’s predictive searching algorithm; business and nonprofit searching tools on the websites of the states’ secretaries of state; and several subscription databases, including Newspapers.com. …”
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A Macroscopic Exploration of the Ideoscape on Exosomes for Bone Regeneration
Published 2024-10-01“…<b>Conclusions:</b> This study exemplifies the utility of combining topic modeling with knowledge graph creation to map research trends, offering a flexible and largely automated tool for researchers to explore the vast bodies of literature and guide future research directions.…”
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FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method
Published 2025-07-01“…Semi-supervised clustering (SSC) methods have emerged as a notable research area in machine learning. These methods integrate prior knowledge of class distribution into their clustering process. …”
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A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease
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Enhancing CO2 emissions prediction for electric vehicles using Greylag Goose Optimization and machine learning
Published 2025-05-01“…Such accurate forecasting supports policymakers and other industry stakeholders make marketing decisions to reduce environmental impacts and optimize resource utilization. In this research, a novel Greylag Goose Optimization (GGO) algorithm is integrated with a Multi-Layer Perceptron (MLP) model to improve $$\hbox {CO}_2$$ emissions prediction. …”
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A MODEL OF THE ENGLISH-UKRAINIAN SUB-CORPUS OF TEXTS OF NATO, UN AND WTO OFFICIAL AND BUSINESS DOCUMENTS
Published 2022-12-01“…The methodological potential of our research is based on the works of well-known Ukrainian and foreign scholars (V. …”
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Classification of diabetes mellitus disease at Rato Ebuh Hospital-Indonesia using the K-Nearest neighbors method based on missing value
Published 2024-01-01“…The aim of this research is to create a machine learning model that can detect diabetes early. …”
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Optimization of Medicinal Treatment of Patients with Glaucoma in Combination with Concurrent System Pathology. Part 1: Cardiovascular Pathology
Published 2020-09-01“…The possibilities of neuroprotection of glaucoma optical neuropathy, as well as modern methods of electrophysiological research in the monitoring assessment of its effectiveness and the differential diagnosis, approaches to enhance the effectiveness of medications treatment with combined medications are analyzed in the article.…”
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Hybrid nanofluid flow around a circular cylinder: A coupled ANN and numerical study of MHD, bioconvection, and thermal radiation
Published 2025-06-01“…Water is used as the base fluid, and single-wall and multi-wall carbon nanotubes are combined to create a hybrid fluid. These nanoparticles' special qualities, in particular their remarkable heat conductivity is essential for several modern uses, such as electrical components, materials research, cancer therapy, refrigeration systems, and nanotechnology. …”
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