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6101
COMPARATIVE ANALYSIS OF NEOGEODYNAMICS OF THE BALTIC SYNECLISE AND THE NORTHERN SLOPE OF THE VORONEZH ANTECLISE A
Published 2021-12-01“…The paper presents the results of comparative neogeodynamic analysis of the Baltic syneclise and northern Voronezh anteclise based on structural-geomorphological interpretation, digital elevation model (DEM) processing procedure using LESSA program [Zlatopolsky, 2011], seismic analysis, and computer geodynamic modeling. …”
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6102
Efficient and fine-grained access control with fully-hidden policies for cloud-enabled IoT
Published 2025-04-01Get full text
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6103
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6104
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6105
Improving long‐tail classification via decoupling and regularisation
Published 2025-02-01Get full text
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6106
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6107
An innovative UAV-based approach for estimating crop stand counts amidst weed infestation
Published 2025-08-01Get full text
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6108
A Complete System for Automated Semantic–Geometric Mapping of Corrosion in Industrial Environments
Published 2025-05-01“…Corrosion, a naturally occurring process leading to the deterioration of metallic materials, demands diligent detection for quality control and the preservation of metal-based objects, especially within industrial contexts. …”
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6109
Cognitive «portrait» of children with mental retardation
Published 2022-04-01“…The form of testing makes it possible to more effectively keep patients' attention on completing tasks than when using paper media in the process of neuropsychological examination on the computer psychophysiological complex «Psychomat-99». …”
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6110
Use of Multimodal Artificial Intelligence in Surgical Instrument Recognition
Published 2025-01-01Get full text
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6111
Predictive Value of CCTA Plaque Characteristics for the Progression and Prognosis of Coronary Artery Stenosis
Published 2025-01-01“…Objective: To investigate the value of qualitative and quantitative plaque characteristics on coronary computed tomography angiography (CCTA) in predicting coronary stenosis progression and prognosis. …”
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6112
A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study
Published 2024-10-01“…Abstract Objective To develop a computed tomography (CT) radiomics-based interpretable machine learning (ML) model to preoperatively predict human epidermal growth factor receptor 2 (HER2) status in bladder cancer (BCa) with multicenter validation. …”
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6113
Creation of a Dataset of MSCT-Images and Clinical Data for Acute Cerebrovascular Events
Published 2020-10-01“…Background The use of neuroimaging methods is an integral part of the process of assisting patients with acute cerebrovascular events (ACVE), and computed tomography (CT) is the «gold standard» for examining this category of patients. …”
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6114
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6115
LEVELS OF PATIENTS EXPOSURE AND A POTENTIAL FOR OPTIMIZATION OF THE PET DIAGNOSTICS IN THE RUSSIAN FEDERATION
Published 2018-01-01“…The effective doses of patients from combined positron emission computed tomography examinations were estimated as a sum of the dose from the internal exposure (injected radiopharmaceutical) and the external exposure (computed tomography scan). …”
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6116
A novel automated CT biomarker to predict outcomes in acute ischemic stroke: net water uptake
Published 2025-08-01“…Reproducible imaging metrics that account for the degree of hypo-attenuation on non-contrast computed tomography (NCCT) may be better suited to guide treatments. …”
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6117
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6118
The Influence of Traumatic Injuries Early Diagnosis on the Development of Pulmonary Complications in Patients With Multisystem Chest Trauma
Published 2022-01-01“…CT was performed as a standard method of diagnosis and monitoring the dynamics of the process. With the development of purulent-inflammatory pulmonary complications, the bacteriological test of bronchoalveolar lavage was performed. …”
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6119
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6120
An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system
Published 2023-12-01“…Additionally, the result is computed from each ANN during the breaking up process, which is based on the breaking up of the artificial neural network algorithm into multiple ANNs based on the number of ANN layers, and therefore, each layer in the original artificial neural network algorithm is assessed. …”
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