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12361
Digital transformation in agricultural circulation: enhancing rural modernization and sustainability through technological innovation
Published 2025-08-01“…The entropy weight method and a spatial error model are applied to capture both direct and indirect effects.ResultsThe findings reveal that digitalization significantly enhances rural agricultural modernization (RAM), particularly in technologically advanced regions, with strong spatial spillover effects benefiting neighboring areas. …”
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12362
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12363
Multi-robot path planning in online dynamic obstacle environments based on parallel cooperative strategy optimization algorithm
Published 2025-07-01“…Abstract The obstacle avoidance path planning for robots has become a critical research focus, especially in the context of addressing complex tasks in dynamic, unstructured environments where unpredictable obstacles and varying conditions present significant challenges. …”
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12364
Computational fluid dynamics analysis and machine learning study of heat transfer in solar air heaters with distinct ribs configuration
Published 2025-09-01“…Solar Air Heaters (SAHs) are crucial for sustainable energy, but their efficiency requires significant enhancement for broader impact. This research pioneers SAH optimization by uniquely integrating Computational Fluid Dynamics (CFD) with machine learning (ML) to analyze and predict the performance of 15 SAH designs featuring distinct curved rib configurations. …”
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12365
The Role of Artificial Intelligence in Aviation Construction Projects in the United Arab Emirates: Insights from Construction Professionals
Published 2024-12-01“…This research highlights the potential for broader AI integration across the entire lifecycle of aviation projects. …”
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12366
Electrooptical complex for terrain on-time survey
Published 2019-10-01“…The positioning accumulative error elimination is suggested to be done via automated image registration with the contour extraction and landmark reference. …”
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12367
EPIDEMIOLOGY FORECASTING ANALYSIS OF DENGUE HAEMORRAGHIC FEVER WITH SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE IN TROPICAL AREA
Published 2019-06-01“…Methods: This was analytical descriptive research with forecasting design using secondary data and primary from informant who understand the problem. …”
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12368
Modeling the spatial distribution of African buffalo (Syncerus caffer) in the Kruger National Park, South Africa.
Published 2017-01-01“…Spatial distribution models were created using buffalo census information and archived data from previous research. Field data were collected during the dry (August 2012) and wet (January 2013) seasons using a random walk design. …”
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12369
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12370
Batch evaluation of collective owned commercialised construction land using machine learning
Published 2025-08-01“…Moreover, this research reveals that CCCL prices display unique characteristics distinct from those of other land types, with significant influences from factors such as township economic levels and the specific approaches used for market entry. …”
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12371
ADDITIVE HOLT-WINTERS METHOD FOR FORECASTING GROSS REGIONAL DOMESTIC PRODUCT AT CONSTANT PRICES OF EXPENDITURE OF WEST SUMATRA
Published 2024-10-01“…The data used is secondary data of GRDP CP of expenditure quarterly of West Sumatra in 2010 - 2022 obtained from the official website of the Indonesian Central Bureau of Statistics. According to research findings, the GRDP CP expenditure with a Mean Absolute Percentage Error (MAPE) value of 1.03% for quarter I to quarter IV in 2023 are Rp46,284,010.59, Rp46,472,223.99, Rp47,512,197.79, and Rp48,445,184.94, respectively. …”
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12372
Artificial Neural Network-based Model for Predicting Cardiologists’ Over-apron Dose in CATHLABs
Published 2024-12-01“…Conclusion: This study underscores the potential of ANN models for accurate radiation dose prediction, enhancing safety protocols, and providing a reliable tool for real-time exposure assessment in clinical settings. Future research should focus on broader validation and integration into real-time monitoring systems.…”
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12373
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12374
Generating context-specific sports training plans by combining generative adversarial networks.
Published 2025-01-01“…., age, heart rate) and motion features from video data. The research focuses on improving context-specific efficiency and real-time adaptability while addressing the limitations of traditional methods. …”
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12375
Tower Frequency Monitoring Solution and Implementation for Wind Turbine Generator Systems
Published 2025-02-01“…Featuring a simple design, the system offers easy deployment and maintenance. The research results showed the effectiveness of the proposed frequency monitoring solution in accurately identifying natural frequency changes, with an error of merely 0.012 2 Hz in the shutdown state, and in detecting potential structural damages and faults with high sensitivity and accuracy. …”
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12376
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A Computational Model of Attention-Guided Visual Learning in a High-Performance Computing Software System
Published 2024-12-01“…This research investigates transformer architectures in high-performance computing (HPC) software systems for attention-guided visual learning (AGVL). …”
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12378
Developing Machine Learning Techniques to Investigate the Impact of Air Quality Indices on Tadawul Exchange Index
Published 2022-01-01“…In order to achieve the target of this research, the TASI dataset relates to six pollutants using time; afterward, the new dataset is divided into three parts—test, validate, and train—after eliminating the outlier data. …”
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12379
Dynamic Characteristics of LOX/Kerosene Variable Thrust Liquid Rocket Engine Test System Based on General Modular Simulation Method
Published 2022-01-01“…For the research demand of reusable LOX/kerosene variable thrust liquid rocket engine, a test system with electric displacement pumps is designed and a multidisciplinary modular dynamic simulation method based on AMESim platform is used to analyze the system. …”
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12380
FAHPBEP: A Fuzzy Analytic Hierarchy Process Framework in Text Classification
Published 2024-02-01“…Without efficient pre-processing methods, unreliable results will achieve. This research probes to investigate the performance of pre-processing for the Sentiment Classification problem on three popular datasets. …”
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