Rezultaty - Model-based data integration
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Secure document management model based on distributed data transmission with authentication
Wydane 2015-12-01Dokumenty pełnotekstoweThe present research subject is the secure document management. Its purpose is increasing the reliability of the data transmission. The research problem is the construction of a reliable model of the secure document management with authentication. The distributed data transmission technique which al...
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Building an Associative Classification Data Model Based on the Apriori Method
Wydane 2020-09-01Dokumenty pełnotekstoweThe purpose of the work is to explore the current problems and prospects of mining solution, big web data in real time, as well as the possibility of practical implementation of Web Mining technology for big web data on a practical example. Materials and methods. The study included a review of bibli...
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A paradigm for the environmental oncology prevention and treatment base: Lanzhou University (Gansu) Model based on the systematic construction of cross-dimensional integration
Wydane 2025-06-01Dokumenty pełnotekstoweEnvironmental factors play a crucial role in the initiation and progression of tumors. To conduct in-depth research on the environmental factors of tumor initiation and progression, and their prevention and treatment strategies, the Environmental Oncology Committee of the China Anti-Cancer Associati...
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Towards implementing workflows for essential biodiversity variables at a European scaleZenodo
Wydane 2025-10-01Hasła przedmiotowe: Dokumenty pełnotekstoweBiodiversity is declining, prompting new multilateral treaties and environmental legislation. To track the progress of these efforts, a comprehensive monitoring network is essential. For the European Union (EU), the EuropaBON network has proposed a biodiversity observation network (BON) based on 84...
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Task Mapping and Scheduling With Uneven Data Partition on Homogeneous and Single-ISA Heterogeneous CPUs in Model-Based Parallelization
Wydane 2025-01-01“…This study addresses the challenges of task mapping and scheduling in model-based parallelization (MBP) by focusing on bottleneck tasks that exhibit data parallelism. …”Integrated systems comprise diverse tasks, including real-time control and image processing, which must be efficiently executed on embedded system-on-chips with high performance and low power consumption. Multi-core and heterogeneous central processing unit (CPU) architectures, such as Intel...
Dokumenty pełnotekstowe
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Decision-Time Learning and Planning Integrated Control for the Mild Hyperbaric Chamber
Wydane 2025-06-01Dokumenty pełnotekstowePlateau hypoxia represents a type of hypobaric hypoxia caused by reduced atmospheric pressure at high altitudes. Pressurization therapy is one of the most effective methods for alleviating acute high-altitude sickness. This study focuses on the development of an advanced control system for a vehicle...
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MODEL OF SEMANTIC INTEGRATION OF INFORMATION SYSTEMS PROPERTIES IN RELAY DATABASE REENGINEERING PROBLEMS
Wydane 2020-12-01“…The purpose of the research is the development of a subject area model based on the semantic properties and relationships of data elements; development of effective technology of integration of information resources of heterogeneous computer systems on the basis of technology of management of database systems; research and formalization of classes of inhomogeneity of data structures aimed at solving the problem of determining the types of information objects. …”The subject of research is methods of semantic integration of subject areas of heterogeneous information systems and distributed databases. This class of systems are created on the basis of database technologies, are widespread and used in all areas of economic activity. Such systems are characteriz...
Dokumenty pełnotekstowe
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EXPLORING THE HUMAN CIRCULATORY SYSTEM THROUGH SYSTEM DYNAMICS: A MODEL-BASED APPROACH
Wydane 2024-12-01Dokumenty pełnotekstoweSystem dynamics is a robust methodology for understanding the behavior of complex systems over time. By employing feedback loops, stocks, flows, and time delays, this approach provides a comprehensive framework for simulating and analyzing dynamic systems. The application of...
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system
Wydane 2025-12-01“…Objective: In this research, our goal is to develop a novel framework to mitigate prediction biases in LA caused by sample limitations and data heterogeneity. This framework integrates machine learning models to establish a universal solution for cross-domain LA estimation in data-scarce situations. …”Context: The efficient and precise monitoring of rice leaf area (LA) is essential for variety selection and agricultural management. At present, LA estimation models based on high-throughput phenotyping technologies primarily depend on homogenized large sample datasets. These models encounter genera...
Dokumenty pełnotekstowe
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The Application of a Marine Weather Data Reconstruction Model Based on Deep Super-Resolution in Ship Route Optimization
Wydane 2025-05-01“…To solve this problem, this paper proposes a marine weather data reconstruction model based on deep super-resolution. …”Accurate weather data are very important for the navigation of ships. However, due to the insufficient coverage of the maritime network, the high cost of satellite communication, and the limited bandwidth, it is difficult for ships to obtain high-resolution weather data during route planning. This c...
Dokumenty pełnotekstowe
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Large language model-based multi-source integration pipeline for automated diagnostic classification and zero-shot prognoses for brain tumor
Wydane 2025-06-01Dokumenty pełnotekstowePurpose: In this study, we use large language models (LLMs) to integrate information from multi-source medical reports to enhance the accuracy of automated diagnostic classification and prognosis for brain tumors. Materials and Methods: Brain MRI reports from a cohort of 426 brain tumor patients wer...
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Tectonic Fractures Modeling Based on Multi-Source Data Fusion in Deep Carbonate Reservoirs, Northeast Sichuan Basin, China
Wydane 2025-06-01Dokumenty pełnotekstoweDeep carbonate reservoirs exhibit pronounced multiscale heterogeneity, driven by polyphase fault activation and matrix heterogeneity, which collectively control the stochastic hierarchical spatial distribution of fracture networks. The construction of high-fidelity discrete fracture network (DFN) mo...
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A Spatiotemporal Convolutional Neural Network Model Based on Dual Attention Mechanism for Passenger Flow Prediction
Wydane 2025-07-01“…In this study, a neural network model based on the data-driven technology is established for the prediction of passenger flow in multiple urban rail transit stations to enable smart perception for optimizing urban railway transportation. …”Establishing a high-precision passenger flow prediction model is a critical and complex task for the optimization of urban rail transit systems. With the development of artificial intelligence technology, the data-driven technology has been widely studied in the intelligent transportation system. In...
Dokumenty pełnotekstowe
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Rolling Bearing Fault Diagnosis Model Based on Multi-Scale Depthwise Separable Convolutional Neural Network Integrated with Spatial Attention Mechanism
Wydane 2025-06-01Dokumenty pełnotekstoweIn response to the challenges posed by complex and variable operating conditions of rolling bearings and the limited availability of labeled data, both of which hinder the effective extraction of key fault features and reduce diagnostic accuracy, this study introduces a model that combines a spatial...
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Reaeration Coefficient Empirical Equation Selection for Water Quality Modeling in Surface Waterbodies: An Integrated Numerical-Modeling-Based Technique with Field Case Study
Wydane 2025-04-01“…However, these equations yield a wide range of Ka values. In this paper, an integrated numerical-modeling-based technique was developed to check the validity of the equations before using them in water quality modeling for rivers, lakes, and reservoirs. …”Empirical equations were developed by many investigators to determine the reaeration coefficients (Ka) required for predicting dissolved oxygen concentrations (DO) in surface waters, especially rivers, lakes, and reservoirs. However, these equations yield a wide range of Ka values. In this paper, an...
Dokumenty pełnotekstowe
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Tunnel Lining Recognition and Thickness Estimation via Optical Image to Radar Image Transfer Learning
Wydane 2025-06-01Dokumenty pełnotekstoweThe secondary lining of a tunnel is a critical load-bearing component, whose stability and structural integrity are essential for ensuring the overall safety of the tunnel. However, identifying lining structures and estimating their thickness using ground-penetrating radar (GPR) remain challenging d...
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Implementation of Integrated Smart Construction Monitoring System Based on Point Cloud Data and IoT Technique
Wydane 2025-06-01“…This study presents an integrated smart construction monitoring system that combines point cloud data (PCD) from a 3D laser scanner with real-time IoT sensors and ultra-wideband (UWB) indoor positioning technology to enhance construction site safety and quality management. …”This study presents an integrated smart construction monitoring system that combines point cloud data (PCD) from a 3D laser scanner with real-time IoT sensors and ultra-wideband (UWB) indoor positioning technology to enhance construction site safety and quality management. The system addresses the l...
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A hybrid extraction model for semantic knowledge discovery of water conservancy big data
Wydane 2025-07-01“…Furthermore, the model establishes methods for micro-level public opinion information extraction and feature representation, creating a fusion space for data-level integration. This serves as a robust foundation for multi-granularity semantic knowledge integration in public opinion big data. …”To address the growing demand for efficient public opinion analysis in water conservancy and related domains, as well as the inefficiencies and limited scalability of existing automated web data extraction algorithms for multi-source datasets, this research integrates advanced technologies including...
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Anthropomorphic Brain Models Based on Magnetic Resonance Imaging
Wydane 2022-09-01“…The results of the transformations is a head model made in the form of a three-dimensional grid, which is suitable for modeling. The obtained data can be used to personalize the TMS method in medicine.…”The article is devoted to the creation of a method for generating anthropomorphic brain models based on magnetic resonance imaging. The selection of the magnetic field amplitude for transcranial magnetic stimulation (TMS) is carried out through modeling using the finite element method (FEM). These F...
Dokumenty pełnotekstowe
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Winter wheat identification by integrating spectral and temporal information derived from multi-resolution remote sensing data
Wydane 2019-11-01“…Here we propose a new solution to identify winter wheat by integrating spectral and temporal information derived from multi-resolution remote sensing data and determine the spatial distribution of sub-pixels within the coarse resolution pixels. …”Timely crop acreage and distribution information are the basic data which drive many agriculture related applications. For identifying crop types based on remote sensing, methods using only a single image type have significant limitations. Current research that integrates fine and coarser spatial re...
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