Showing 321 - 340 results of 2,289 for search '"absolution"', query time: 0.05s Refine Results
  1. 321

    Certain Energies of Graphs for Dutch Windmill and Double-Wheel Graphs by Jing Wu, Muhammad Arfan Ali, Hafiz Mutee ur Rehman, Yan Dou

    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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  2. 322

    THOMAS HOBBES VE DEMOKRASİ by Naci İspir

    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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  3. 323

    An integrated framework for prediction and sensitivity analysis of water levels in front of pumping stations by Weilin Wang, Guoqing Sang, Qiang Zhao, Yang Liu, Longbin Lu, Guangwen Shao

    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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  4. 324

    Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz by Junyi Yu, Wei Chen, Kun Yang, Changzhen Li, Fang Li, Yishui Shui

    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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  5. 325

    Marginal and Internal Fit of Cobalt-Chromium Fixed Dental Prostheses Generated from Digital and Conventional Impressions by Per Svanborg, Henrik Skjerven, Pablo Carlsson, Alf Eliasson, Stig Karlsson, Anders Örtorp

    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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  6. 326

    A State of Charge Estimation Method for Lithium-Ion Battery Using PID Compensator-Based Adaptive Extended Kalman Filter by Zheng Liu, Yuan Qiu, Chunshan Yang, Jianbo Ji, Zhenhua Zhao

    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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  7. 327

    Recognition and localization of ratoon rice rolled stubble rows based on monocular vision and model fusion by Yuanrui Li, Yuanrui Li, Liping Xiao, Liping Xiao, Zhaopeng Liu, Zhaopeng Liu, Muhua Liu, Muhua Liu, Peng Fang, Peng Fang, Xiongfei Chen, Xiongfei Chen, Jiajia Yu, Jiajia Yu, Jinlong Lin, Jinlong Lin, Jinping Cai, Jinping Cai

    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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  8. 328

    Predicting the thickness of shallow landslides in Switzerland using machine learning by C. Schaller, C. Schaller, L. Dorren, M. Schwarz, C. Moos, A. C. Seijmonsbergen, E. E. van Loon

    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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  9. 329

    Prolactin Levels Correlate with Abnormal B Cell Maturation in MRL and MRL/lpr Mouse Models of Systemic Lupus Erythematosus-Like Disease by Maria Victoria Legorreta-Haquet, Rocio Flores-Fernández, Francisco Blanco-Favela, Ezequiel M Fuentes-Pananá, Luis Chávez-Sánchez, Rafael Hernández-González, Emiliano Tesoro-Cruz, Lourdes Arriaga-Pizano, Adriana Karina Chávez-Rueda

    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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  10. 330

    Bone Densitometric Analysis using Cone Beam Computed Tomography (Cone Beam CT) and Computed Tomography (CT): Establishing the Correlation between Predicted and Actual Values by Rashmit Kumar, Kurian Punnoose, Meenakumari Chikkanna, Srikanth Gunturu, Mosa Mohammad Alrifai, Abdulghani Saeed Al Zahrani, J. Suresh Babu, C. Swarnalatha, Abhishek Singh Nayyar

    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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  11. 331

    Robust dual-tone multi-frequency tone detection using k-nearest neighbour classifier for a noisy environment by Arunit Maity, P. Prakasam, Sarthak Bhargava

    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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  12. 332

    Level of adaptative stress of the organism and cellular reactivity of patients with acute festering-inflammatory diseases of the kidneys and paranephral tissues by V. Stepan, R. Sydorchuk, A. Iftodiy, N. Stepan, L. Sydorchuk

    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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  13. 333

    Measurement and predictors of the financial performance of public health enterprises in Italy by Peter PERGER, Achim HECKER

    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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  14. 334

    CONSIDERATION OF THE DESTABILIZING FACTORS INFLUENCE FOR INCREASING OF THE MEASUREMENTS ACCURACY OF A RANGEFINDER BASED ON STEREO IMAGES by V. L. Kozlov

    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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  15. 335

    Neutrino oscillations in presence of diagonal elements of scalar NSI: an analytic approach by Dharitree Bezboruah, Dibya S. Chattopadhyay, Abinash Medhi, Arnab Sarker, Moon Moon Devi

    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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  16. 336

    Re-parameterization invariance of FRW model: Supervariable and BRST approaches by B. Chauhan, R. Tripathi

    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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  17. 337

    Machine Learning-Based Lithium Battery State of Health Prediction Research by Kun Li, Xinling Chen

    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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  18. 338

    Morphological characterization of spleen and bursa of Fabricius of Pekin ducks in selenium-deficient area by Ye. E. Lazareva

    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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  19. 339

    Proton magnetic resonance spectroscopy-based evaluation of metabolic abnormalities in the right dorsolateral prefrontal cortex and caudate nucleus in treatment-naïve patients with... by Gagan Hans, Uma Sharma, Novy Gupte, Ragul Ganesh, Vaibhav Patil, Pratap Sharan

    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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  20. 340

    Machine Learning  Modelling of the Relationship between Weather and Paddy Yield in Sri Lanka by Piyal Ekanayake, Windhya Rankothge, Rukmal Weliwatta, Jeevani W. Jayasinghe

    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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