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Integrating Low-Altitude Remote Sensing and Variable-Rate Sprayer Systems for Enhanced Cassava Crop Management
Published 2025-06-01“…The RC helicopter system exhibited NDVI values ranging from 0.709 to 0.352, while the drone system showed values from 0.726 to 0.361. …”
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723
Methodology for Data Integration in 3D-HBIM Digital Models. Case Study: the Holy Chalice Chapel of Valencia Cathedral
Published 2024-07-01“…These algorithms play a crucial role in identifying and classifying points based on their geometry and chromatic characteristics. …”
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724
Universal Method for Detecting Violations in the Integrity of a Digital Image Based on Analysis of Blocks of its Matrix
Published 2023-11-01“…At the same time, the algorithmic implementation of the method made it possible to increase the efficiency of detecting violations of image integrity by reducing type I errors by 2% compared to the best analogue; type II errors remained at the same level. …”
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725
Credit Scoring Prediction Using Deep Learning Models in the Financial Sector
Published 2025-01-01“…In the swiftly transforming domain of computational science, the incorporation of sophisticated machine learning algorithms has emerged as a critical driver in addressing these challenges. …”
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726
Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis
Published 2025-07-01“…Twelve machine learning algorithms were independently trained. Their performances were evaluated by receiver operating characteristic (ROC) curves, area under the curve (AUC) values, sensitivity, and specificity. …”
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727
Application of the Integral Energy Criterion and Neural Network Model for Helicopter Turboshaft Engines’ Vibration Characteristics Analysis
Published 2024-11-01“…It averages the assessment of unique signal processing algorithms, which ensures reliable defect classification under flight vibration conditions. …”
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728
3D rock strength prediction by an innovative approach that integrates geostatistics with machine deep learning models
Published 2025-06-01“…A novel 3D rock strength prediction model that integrates geostatistic with deep learning algorithms is proposed. …”
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729
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Landslide Hazard Assessment Under Record-Breaking Extreme Rainfall: Integration of SBAS-InSAR and Machine Learning Models
Published 2025-07-01“…The proposed framework integrates cumulative extreme rainfall metrics with subtle ground deformation indicators and applies four advanced machine learning algorithms—DNN, XGBoost, RF, and LightGBM—for multidimensional hazard assessment. …”
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731
Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions
Published 2025-08-01“…This framework offers a structured, ethically informed, and user-centric approach, advocating for AI as complementary to human expertise.ConclusionSuccessfully integrating AI into nursing requires comprehensive strategic planning that addresses educational, clinical, ethical, organizational, participatory, and economic dimensions, reinforcing the core humanistic values of nursing. …”
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733
Design of weighted based divided-search enhanced Karnik–Mendel algorithms for type reduction of general type-2 fuzzy logic systems
Published 2025-02-01“…Here the weighted type-reduction algorithms based on the Newton and Cotes quadrature formulas of numerical methods of integration technique are first given, and the searching spaces are divided. …”
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734
Design and energy management research of integrated microgrid with light storage and charging with double-layer optimization scheduling model
Published 2025-07-01“…The constructed hybrid algorithm had good algorithm convergence, with the data recognition errors fluctuating up and down by no more than 1%. …”
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735
Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow
Published 2025-06-01“…Hybridizing the 2GRU× model with WOA algorithm causes to increase in the value of R 2 by 6.8% and reduce in the value of RMSE by 20.4%. …”
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736
A Novel Adaptive Cuboid Regional Growth Algorithm for Trunk–Branch Segmentation of Point Clouds from Two Fruit Tree Species
Published 2025-07-01“…To address this issue, a novel adaptive cuboid regional growth segmentation algorithm is proposed in this study. This method integrates a growth vector that is adaptively adjusted based on the growth trend of branches and a growth cuboid that is dynamically regulated according to branch diameters. …”
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737
A novel approach for snow depth retrieval in forested areas by integrating horizontal and vertical canopy structures information
Published 2024-12-01“…Based on the performance of the algorithms in different NMSV values, we observe a decline in the accuracy of this algorithm when the value exceeds 0.8, which was caused by small size of high NMSV values among the ground observation sites involved in the development of snow depth retrieval algorithm. …”
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738
Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study
Published 2025-03-01“…However, robust neural networks (GRNN and CFNN) have not been used for integrated production system modeling, nor have GWO algorithms been used to maximize the production or NPV in gas lift operations until now. …”
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Application of machine learning in the determination of rock brittleness for CO2 geosequestration
Published 2025-06-01“…Therefore, it is important to monitor the brittleness of reservoir and cap rocks, to ascertain their integrity for CO2 storage. In this study, an algorithm was developed to generate numerical simulation datasets for a more reliable machine learning model development, and an artificial neural network (ANN) model was developed to evaluate the brittleness index of rocks using data from numerical simulations of CO2 geosequestration in sandstone and carbonate reservoirs, overlain by shale caprock. …”
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740
MATHEMATICAL MODEL OF COMPLEX PROTECTION OF AN INFOCOMMUNICATION OBJECT BASED ON "PLAYING WITH NATURE"
Published 2022-08-01“…The main value of the work lies in the analysis of the possibilities that game theory provides in modeling complex systems, both in terms of determining private protection strategies and in terms of developing an integrated approach to ensuring the integrity of an infocommunication object. …”
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