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321
Certain Energies of Graphs for Dutch Windmill and Double-Wheel Graphs
Published 2022-01-01“…Energy of a graph is defined as the sum of the absolute values of the eigenvalues of the adjacency matrix associated with the graph. …”
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322
THOMAS HOBBES VE DEMOKRASİ
Published 2003-12-01“…Howevers, Hobbes is thought to favour Royalist absolutism and is against democracy. This situation is generally explained in the meaning he seeks in autonomy. …”
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323
An integrated framework for prediction and sensitivity analysis of water levels in front of pumping stations
Published 2025-02-01“…The results show that among the three different water transport models, the Firefly-Support Vector Machine model has a smaller mean absolute error (<2.38 %), root mean square error (<4.76 %), and mean absolute percentage error (<0.07 %) with higher linear correlation (>0.85). …”
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324
Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz
Published 2017-01-01“…After that, Root Mean Square Error (RMSE), Grey Relation Grade and Mean Absolute Percentage Error (GRG-MAPE), Pearson Correlation Coefficient, and Mean Absolute Percentage Error (PCC-MAPE) are employed to implement quantitative analysis. …”
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325
Marginal and Internal Fit of Cobalt-Chromium Fixed Dental Prostheses Generated from Digital and Conventional Impressions
Published 2014-01-01“…A triple-scan protocol and CAD software were used for measuring and calculating discrepancies of the FDPs at 3 standard areas: mean internal discrepancy, absolute marginal gap, and cervical area discrepancy. …”
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326
A State of Charge Estimation Method for Lithium-Ion Battery Using PID Compensator-Based Adaptive Extended Kalman Filter
Published 2021-01-01“…The results reveal that the AEKF with PID feedback compensation strategy can improve the SOC estimation performance compared with the common AEKF, and it reveals good robust capability and rapid convergence speed for initial SOC errors. The maximum absolute error and average absolute error for SOC estimation are close to 4% and 2.6%, respectively.…”
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327
Recognition and localization of ratoon rice rolled stubble rows based on monocular vision and model fusion
Published 2025-01-01“…To address the problem of degradation of model's performance when migrated to other monocular cameras, based on the law of the input image’s influence on model's output results, two optimization methods of adjusting inputs and outputs were used that decreased the absolute relative error from 91.9% to 8.8%. After that, we carried out model fusion experiments, which showed that CD (chamfer distance) between predicted 3D coordinates of navigation points obtained by fusing the results of the two models and labels was only 0.0990. …”
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328
Predicting the thickness of shallow landslides in Switzerland using machine learning
Published 2025-02-01“…Our results show that the ML models consistently outperformed the simple models by reducing the mean absolute error by at least 20 %. The RF models produced a mean absolute error of 0.25 m for the HMDB and 0.20 m for the KtBE data. …”
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329
Prolactin Levels Correlate with Abnormal B Cell Maturation in MRL and MRL/lpr Mouse Models of Systemic Lupus Erythematosus-Like Disease
Published 2013-01-01“…In this study, our aims were to determine the level of PRL receptor expression during bone-marrow B-cell development and to assess whether the presence of high PRL serum concentrations influences absolute numbers of developing populations and disease outcome in lupus-prone murine models. …”
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330
Bone Densitometric Analysis using Cone Beam Computed Tomography (Cone Beam CT) and Computed Tomography (CT): Establishing the Correlation between Predicted and Actual Values
Published 2025-01-01“…Background: One of the major drawbacks of cone beam computed tomography (cone beam CT) is that unlike CT, the gray density values obtained from cone beam CT are relative, and not absolute as obtained in the case of CT. The present study was conducted with the intent to perform a comparative bone densitometric analysis using cone beam CT and CT and to determine if there was a mathematical correlation between the two. …”
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331
Robust dual-tone multi-frequency tone detection using k-nearest neighbour classifier for a noisy environment
Published 2025-01-01“…The features required for training the proposed KNN classifier are extracted using Goertzel's algorithm that estimates the absolute discrete Fourier transform (DFT) coefficient values for the fundamental DTMF frequencies with or without considering their second harmonic frequencies. …”
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332
Level of adaptative stress of the organism and cellular reactivity of patients with acute festering-inflammatory diseases of the kidneys and paranephral tissues
Published 2025-01-01“…In patients with APIDKPT, the absolute number of leukocytes increases by 66.72%, due to an increase in the relative number of neutrophils by 15.83%, which is due to an increase in the relative number of rod-shaped cells by 3.39 times, the relative number of eosinophils increases by 16.39%, the absolute number of lymphocytes by 25.14%. …”
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333
Measurement and predictors of the financial performance of public health enterprises in Italy
Published 2023-12-01“…For the variables: size (absolute), teaching/scientific function, occupancy, and non-medical staff rate, no significant influence could be found. …”
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334
CONSIDERATION OF THE DESTABILIZING FACTORS INFLUENCE FOR INCREASING OF THE MEASUREMENTS ACCURACY OF A RANGEFINDER BASED ON STEREO IMAGES
Published 2017-09-01“…Experimental studies of the developed technique for distortions compensation showed a decrease of the absolute measurements error more than by an order of magnitude at distances up to 100 m.…”
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335
Neutrino oscillations in presence of diagonal elements of scalar NSI: an analytic approach
Published 2024-12-01“…The expressions are compact and show explicit dependence on matter effects and the absolute neutrino masses. The analytic expressions calculated here allow us to obtain the dependence of the SNSI contribution on mass terms of the form m 1 + m 2, m 2 − m 1, m 1 c 12 2 $$ {m}_1{c}_{12}^2 $$ + m 2 s 12 2 $$ {m}_2{s}_{12}^2 $$ , m 1 s 12 2 $$ {m}_1{s}_{12}^2 $$ + m 2 c 12 2 $$ {m}_2{c}_{12}^2 $$ , and m 3. …”
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336
Re-parameterization invariance of FRW model: Supervariable and BRST approaches
Published 2025-03-01“…Additionally, in the application of ACSA, we restrict our analysis to (anti-)chiral super expansions of supervariables, leading to the unique observation of the absolute anti-commutativity of the conserved BRST-anti-BRST charges. …”
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337
Machine Learning-Based Lithium Battery State of Health Prediction Research
Published 2025-01-01“…The models were validated using the NASA PCoE battery aging datasets B0005, B0006, and B0007, with prediction accuracy evaluated based on Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Coefficient of Determination (R<sup>2</sup>). …”
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338
Morphological characterization of spleen and bursa of Fabricius of Pekin ducks in selenium-deficient area
Published 2021-07-01“…The study showed that the dynamics of absolute body weights and relative weight gains in control and test groups correlated to the general biological pattern – increase in absolute parameters and decrease in relative parameters were dependent on age. …”
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339
Proton magnetic resonance spectroscopy-based evaluation of metabolic abnormalities in the right dorsolateral prefrontal cortex and caudate nucleus in treatment-naïve patients with...
Published 2023-11-01“…The 1H-MRS experiments were performed using the 3 Tesla (3T) human MR scanner, and absolute concentrations of metabolites were estimated using the LC model. …”
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340
Machine Learning Modelling of the Relationship between Weather and Paddy Yield in Sri Lanka
Published 2021-01-01“…Their performances were compared in terms of the Root Mean Squared Error (RMSE), Correlation Coefficient (R), Mean Absolute Error (MAE), and the Mean Absolute Percentage Error (MAPE). …”
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