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2461
Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing
Published 2025-07-01“…We used our estimated sharp Hankel determinants to develop a novel algorithm for image enhancement. The performance of the algorithm is evaluated on different image datasets of varying dimensions, with key quality metrics such as PSNR, SSIM, PCC, and MAE. …”
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2462
Investigation of the Effect of Slope and Road Surface Conditions on Traffic Accidents Occurring in Winter Months: Spatial and Machine Learning Approaches
Published 2024-12-01“…As a result of the analysis, it was found that the J48 algorithm gave more accurate results. J48 processes both continuous and categorical attributes and is a decision tree algorithm that can effectively manage missing data. …”
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2463
Optimization of Bayesian Neural Networks using hybrid PSO and fuzzy logic approach for time series forecasting
Published 2025-07-01“…Providing flexible frameworks for the Neural Network training algorithm is one of the topics that has focused on many issues of the real world. …”
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2464
A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition
Published 2023-01-01“…ATR-FTIR technology combined with the BP-ANN algorithm could effectively evaluate the CP, NDF, ADF, and starch contents of WPCS.…”
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2465
Transient Ischemic Attack: Clinical Features and Outcome
Published 2017-11-01“…All subjects were studied using a clinical evaluation of pathogenetic mechanisms and an ABCD (2) algorithm. …”
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2466
Research of the state of the stress-realizing systems in pregnant women with miscarriage
Published 2013-06-01“…The results of this work helps to develop algorithm for evaluation and prediction of the risk of miscarriage…”
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2467
Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels
Published 2019-01-01“…Paragraph Vector is one of such algorithms, which extends the word2vec algorithm by considering the paragraph as an additional word. …”
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2468
Comparison between Logistic Regression and K-Nearest Neighbour Techniques with Application on Thalassemia Patients in Mosul
Published 2025-06-01“…The study showed that the type of distance used in the K-nearest neighbor algorithm, whether "Manhattan" or "Chebyshev", has a significant impact on the accuracy of predictions, with the highest accuracy reaching 95% when K = 4. …”
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2469
Estimating the Significance of Computer Model Factors Based on a Simple Neural Network
Published 2024-12-01“…Since the initial weights of the neural network are chosen randomly, the results of different runs on the same set of data are slightly different. …”
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2470
Advanced QT interval analysis in long-term electrocardiography using shape-based clustering and template matching: A novel approach for Holter monitoring
Published 2025-02-01“…For all waves, the mean and standard deviation of the difference between the algorithm and the expert analysis was 0.5 (±16), and that of the difference between the DSC5500 and the expert analysis was −16.4 (±42.8). …”
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2471
Using Simulation Modeling to Estimate Time Characteristics of a Distributed Computing System
Published 2022-11-01“…Special attention have to be pointed towards evaluating time spent by requests in queues and effects of prioritization algorithms on it.To evaluate computing system’s time characteristics different modeling methods can be used, most effective of which is simulation modeling. …”
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2472
Investigating the impact of fatty acid profiles on biodiesel lubricity using artificial intelligence techniques
Published 2025-03-01“…Biodiesel lubricity is a crucial factor influencing engine performance and longevity, primarily determined by its fatty acid composition. This study evaluates the tribological properties of biodiesel derived from 15 different feedstocks using High-Frequency Reciprocating Rig (HFRR) tests, 3D-laser microscopy, Scanning Electron Microscopy (SEM), and Energy-Dispersive X-ray Spectroscopy (EDS). …”
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2473
Cross-modal adaptive reconstruction of open education resources
Published 2025-08-01“…Our approach employs contrastive learning (a technique for similarity learning) with an enhanced algorithm. It achieved high accuracy (F1-score = 0.912) in multimodal understanding, significantly outperforming baselines (+ 33.7%). …”
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2474
Development of Advanced Positioning Techniques of UWB/Wi-Fi RTT Ranging for Personal Mobility Applications
Published 2024-11-01“…An analysis of the performance of these techniques for ranging the positioning estimation using different fusion algorithms is assessed. The methodology applied for CP leverages the hybrid nature of the range measurements obtained by UWB and Wi-Fi RTT systems. …”
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2475
An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection
Published 2024-08-01“…The comparison between the evaluation metrics before and after fusion demonstrates the effectiveness of the proposed fusion method. …”
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2476
THE METHOD OF GEOMETRIC CALIBRATION OF OPTOELECTRONIC SYSTEMS BASED ON ELECTRONIC TEST OBJECT
Published 2017-12-01“…Designing remote sensing of the Earth devices is requires a lot of attention to evaluation lens distortion level and providing the required accuracy values of geometric calibration of optoelectronic systems at all. …”
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2477
Association between Radiological Response after Locoregional Treatment and Histopathological Findings in Patients Undergoing Liver Transplant for Hepatocarcinoma
Published 2025-01-01“…Introduction: Liver Imaging Reporting and Data System treatment response (LR-TR) algorithm have been developed to evaluate response after locoregional therapy (LRT) in patients with hepatocellular carcinoma (HCC). …”
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2478
Energy Efficiency Optimization Design for Cycle Position Servo PMSM Based on Operating Energy Consumption Model
Published 2025-01-01“…Combined with the physical analytical model of mechanical power and friction, a data-model driven precise model is established, enabling quantitative evaluation of the cycle energy consumption with different PMSM design schemes; then, taking cycle operating energy consumption and peak torque as optimization objectives, the optimal Latin hypercube sampling method is employed to generate finite element optimization data samples. …”
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2479
Astronomaly Protege: Discovery through Human-machine Collaboration
Published 2025-01-01“…We train PROTEGE on images from the MeerKAT Galaxy Cluster Legacy Survey, leveraging the self-supervised deep learning algorithm Bootstrap Your Own Latent to find a low-dimensional representation of the radio galaxy cutouts. …”
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2480
Presenting an Order-Aware Multimodal Fusion Framework for Financial Advisory Summarization With an Exclusive Video Dataset
Published 2025-01-01“…Through extensive experimentation and human evaluation, we demonstrate the efficacy of FinMSG in producing high-quality financial summaries while also investigating the interplay between different modalities. …”
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