Search Results - evaluation algorithms

Use of a Method for Contour Analysis of Radiation Images of Malignant Breast Tumors on the Basis of Retrospective Material by M. K. Mikhailov, E. A. Romanycheva, V. V. Sevast’yanov, Ya. A. Furman

“…The practical value of the method is in quantitatively evaluating the shapes of malignant breast neoplasms, in reducing the performance of a mammographic examination, and in increasing its objectivity. …”
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Association Between Atherogenic Index of Plasma and Endometriosis: Evidence from NHANES 1999–2006 by Liu L, Su G, Rao J, Peng J, Lin X, Huang Y, Liang F, Feng C, Lin Z

“…The relative significance of various lipid indicators was evaluated with the Extreme Gradient Boosting (XGBoost) algorithm.Results: This study analyzed 1817 participants, among whom 146 were diagnosed with endometriosis. …”
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Predicting Stroke-Associated Pneumonia in Acute Ischemic Stroke: A Machine Learning Model Development and Validation Study with CBC-Derived Inflammatory Indices by Xie M, Liu Z, Dai F, Cao Z, Wang X

“…Nine ML models were trained using 10-fold cross-validation, with performance evaluated by accuracy, AUC-ROC, and F1-score. Key predictors were interpreted via SHAP analysis. …”
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Theoretical Proposals for Improving the Noise Immunity of Receiving Multi-Position Signals in Channels with Variable Parameters by S. V. Dvornikov, A. V. Pshenichnikov, A. F. Kryachko, M. R. Bibarsov, G. S. Bibarsova

“…The presented dependence makes it possible to evaluate the relationship between the values of the probability of a pair error of receiving QAM signal elements and the limits of the change in phase shifts introduced by a communication channel with variable parameters. …”
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Advancing GIS-based suitability analysis of BtX, PtX, PBtX, and eBtX facilities using the fuzzy analytic hierarchy process by Marcel Dossow, Mengxi Chen, Hartmut Spliethoff, Sebastian Fendt

“…The proposed methodology provides a systematic and quantitative approach to evaluate location suitability, offering valuable insights for spatial decision-making in sustainable fuel production from BtX, PtX, or e-/PBtX.The CES-GIS-SAFAHP methodology uses selected and relevant geospatial data, which is processed to derive criteria-specific datasets, such as spatially resolved energy density maps for biomass-based systems and combined wind and solar energy datasets for hybrid processes. …”
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Physical Implementation and Experimental Validation of the Compensation Mechanism for a Ramp-Based AUV Recovery System by Zhaoji Qi, Lingshuai Meng, Haitao Gu, Ziyang Guo, Jinyan Wu, Chenghui Li

“…Experiments were conducted under various disturbance scenarios and multiple control parameter configurations to evaluate the attitude tracking performance, dynamic response, and repeatability of the system. …”
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Computer Program for Primer Design for Loop-Mediated Isothermal Amplification (LAMP) by L. U. Akhmetzianov

“…Therefore, this work is aimed at developing a new domestic computer program for the design of specific primers for LAMP.Materials and Methods. The primer search algorithm was based on a linear search for a substring in a string, taking into account the criteria of primer selection for LAMP. …”
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Towards a global spatial machine learning model for seasonal groundwater level predictions in Germany by S. Kunz, A. Schulz, M. Wetzel, M. Nölscher, T. Chiaburu, F. Biessmann, S. Broda

“…To determine the conditions under which the model achieves good performance and whether it aligns with hydrogeological system understanding, the model's performance was evaluated spatially and correlations with both static input features and time series features from hydrograph data were examined.…”
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Associations Between Symptom Complexity and Acute Care Utilization Among Adult Advanced Cancer Patients Followed by a Palliative Care Service by Philip Pranajaya, Vincent Ho, Mengzhu Jiang, Vance Tran, Aynharan Sinnarajah

“…We examined how a novel symptom complexity algorithm, using patients’ ratings of the nine Edmonton Symptom Assessment System—Revised (ESAS-r) symptoms to assign “low”, “medium”, or “high” complexity, predicts acute care utilizations. …”
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Predicting breeding values in Murrah buffaloes using random regression models by ANAND JAIN, ASHISH RANJAN, I D GUPTA, H K SINGH

“…Various random regression models with different order of Legendre polynomials for permanent environmental and genetic effects were constructed to evaluate Murrah buffaloes under field condition. A total of 24,160 test-day (TD) milk yield records of 2,336 buffaloes belonging to six districts of Haryana state from 2014 to 2019 under CHRS Rohtak were considered for estimating the random covariate coefficients using REML algorithm. …”
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Mapping the Research Landscape of Agricultural Sciences by Dmitry Devyatkin, Elena Nechaeva, Roman Suvorov, Ilya Tikhomirov

“…., Scopus or Web of Science. The high-level algorithm consists of (1) full-text collection from reliable sources; (2) the automatic extraction of research fields using topic modeling; (3) semi-automatic linking to scientometric databases; and (4) a statistical analysis of metrics for the extracted scientific areas. …”
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On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology by A. V. Panfilov, A. R. Yusupov, A. A. Korotkiy, B. F. Ivanov

“…The solution proposed by the authors automatically evaluates the rejection rates according to five criteria: external wire breaks, surface wear, rope diameter change, undulation, traces of temperature exposure. …”
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Identifikasi Dini Curah Hujan Berpotensi Banjir Menggunakan Algoritma Long Short-Term Memory (Lstm) Dan Isolation Forest by Ahmad Wijayanto, Aris Sugiharto, Rukun Santoso

“…The Isolation Forest algorithm is then used to automatically identify rainfall with flood potential. …”
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Macromicroscopic Method for Vitreous Body Anatomy Studying by N. M. Kislitsyna, A. V. Shatskikh, S. M. Dibirova, D. M. Sultanova, M. P. Veselkova, S. V. Novikov

“…The algorithm for macroscopic examination performing.Results and discussion. …”
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A Privacy-Preserving Polymorphic Heterogeneous Security Architecture for Cloud–Edge Collaboration Industrial Control Systems by Yukun Niu, Xiaopeng Han, Chuan He, Yunfan Wang, Zhigang Cao, Ding Zhou

“…The architecture introduces three key innovations: (1) a hybrid event–time triggered scheduling algorithm with credibility assessment and heterogeneity metrics to mitigate common-mode escape scenarios, (2) an adaptive privacy budget allocation mechanism that balances privacy protection effectiveness with system availability based on attack activity levels, and (3) a unified framework that organically integrates privacy-preserving arbitration with heterogeneous redundancy management. …”
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MODELING OF A DUPLEX MILLER AND CONDITIONS OF FORMATION OF TREATMENT OF WHEEL PAIRS OF MAIN ELECTRIC CARDS, DUAL CARS, ELECTRO SECTIONS by Victor Shapovalov, Alexandr Permyakov, Alexander Klochko

“…The forming component of the cutting conditions was evaluated taking into account the coefficient of efficiency of the process of forming the surface layer of the machined wheel. …”
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Planar Inverse Statics and Path Planning for a Tendon-Driven Discrete Continuum Robot by Yeoun-Jae Kim, Daehan Wi

“…Furthermore, we propose a planar path planning algorithm and numerically evaluate it for a three-unit robot following an arc-shaped trajectory. …”
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Photodynamic therapy in the treatment of recurrent nasal cavity and paranasal sinus cancer by M. V. Vusik, V. I. Shtin, O. V. Cheremisina, K. Yu. Menshikov, V. A. Novikov

“…The purpose of the study was to evaluate the effectiveness of treatment of patients with recurrent nasal cavity and paranasal sinus cancer using photodynamic diagnosis (PDD) and photodynamic therapy (FDT).Material and Methods. …”
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Optimasi Klasifikasi Sentimen Komentar Pengguna Game Bergerak Menggunakan Svm, Grid Search Dan Kombinasi N-Gram by Syahroni Wahyu Iriananda, Renaldi Widi Budiawan, Aviv Yuniar Rahman, Istiadi Istiadi

“…In this study, sentiment classification was performed using the Support Vector Machine (SVM) algorithm, employing N-Gram techniques for feature selection. …”
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Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models by Yalei Wang, Yuqing Xin, Baoqi Zhang, Fuqiang Pan, Xu Li, Manman Zhang, Yushan Yuan, Lei Zhang, Peiqi Ma, Bo Guan, Yang Zhang

“…Models were constructed using the LightGBM algorithm: a radiomic feature model, a deep learning feature model, and a combined model integrating radiomic and deep learning features. …”
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