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THE COMPARISON OF 2D DOSE PATIENT-SPECIFIC QUALITY ASSURANCE BETWEEN MONTE CARLO-CONVOLUTION AND MODIFIED CLARKSON INTEGRATION ALGORITHM
Published 2023-08-01“…For the modulated intensity, we used a pair of the dynamic log files of the multileaf-collimator (MLC) and then employed them in the algorithms. The dose distributions of MC and MCI methods were compared to the treatment planning system (TPS) using gamma index analysis. …”
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Estimating Suitable Areas for Dry Almond (Amygdalus communis L.) Cultivation Development in Fars Province using Geographic Information System (GIS)
Published 2025-12-01“…Therefore, this study focuses on analyzing land suitability for almond cultivation in Fars province by integrating the Analytic Hierarchy Process (AHP) and fuzzy algorithm with Geographic Information System (GIS).Materials and MethodsIn order to estimate the extent of suitable areas for dry almond cultivation in Fars province, four criteria (including climatic, topographic, environmental adaptation, and socio-economic) and 14 sub-criteria were used. …”
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A Study on the Extraction of Satellite Image Information for Two Types of Coastal Fishery Facility Fish Cages and Rafts Influenced by Clouds and Vessels
Published 2024-12-01“…The MROIC model enhances spectral information by constructing ratio bands alongside principal component analysis, subsequently employing rule sets, edge detection algorithms, and comprehensive algorithmic merging techniques. …”
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Research on the Day-Ahead Operation Decision Making Method for the Electric-Thermal System Based on Grey Fuzzy Evaluation
Published 2023-09-01“…To reduce the negative impact of information grayness and expert scoring ambiguity on the solution scoring, this paper constructs a grey fuzzy evaluation model for the electric-thermal system and designs a day-ahead operation decision algorithm based on this model. …”
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Application of a geostatistical algorithm for correcting well logging data when modelling complex hydrocarbon deposits at the stage of additional field exploration
Published 2021-12-01“…Reliable models of the object under exploration and the use of best practices in the field of information systems reduce investment risks associated with planning exploration works, at the same time as optimizing the planning and design of the entire process of field development.Aim. …”
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MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA.
Published 2025-05-01“…The primary objective was to identify critical factors for sustainable agriculture, and use predictive models for optimal cereal zones using machine learning algorithms. Methodology: The methodology involved data acquisition, processing and information presentation. …”
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Current Progress in and Future Visions of Key Technologies of UAV-Borne Multi-Modal Geophysical Exploration for Mineral Exploration: A Scoping Review
Published 2025-08-01“…We believe that only by integrating the system, designing the observation plan in accordance with the requirements of the fusion method, and treating the hardware part as an external extension of the algorithm, can high-matching data be provided for fusion. …”
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Optimizing Pharmaceutical Inventory and Investment Strategies During Pandemics: A Dynamic Approach Integrating Environmental Emission Rates and Advanced Optimization Algorithms
Published 2025-01-01“…The study delivers comprehensive guidance for effective pandemic response planning, helping managers to make informed decisions that align with both economic and public health goals. …”
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Theoretical Model, Model Innovation, and Important Implications of DeepSeek Empowering Library Knowledge Services
Published 2025-01-01“…At the same time, it can bring many problems, such as model security, intellectual property risks, knowledge illusions, and information cocoons. From the existing public information, DeepSeek can provide important technical support and core driving force for library knowledge service innovation in the era of artificial intelligence from four aspects: technical algorithms, training cost, open source ecology, and local lightweight deployment. …”
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Data-driven joint routing, topology, and mobility design for FANET systems using a digital twin approach
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