Numerical Simulation Data-Aided Domain-Adaptive Generalization Method for Fault Diagnosis by Tao Yan, Jianchun Guo, Yuan Zhou, Lixia Zhu, Bo Fang, Jiawei Xiang

“…A fault diagnosis domain generalization method using numerical simulation data is proposed. …”
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A General Framework for Modeling Missing Data Due to Item Selection With Item Response Theory by Paul A. Jewsbury, Ru Lu, Peter W. van Rijn

“…Through mathematical analyses and simulations, we demonstrate that this internal versus external item selection framework provides a general guide in applying missing-data and selection theory to choose a valid analysis model for datasets with missing data.…”
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Statistical analysis of adaptive progressive type-II censored competing risks data from generalized logistic distribution with application by Mustafa M. Hasaballah, Yusra A. Tashkandy, Oluwafemi Samson Balogun, M. E. Bakr

“…This paper provides a detailed statistical analysis of adaptive progressive type-II censored competing risks data, modeled with the generalized logistic distribution. …”
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The criterion of significance of general adaptive ability: numerical model by E. S. Rekashus, O. V. Kurdakova

“…Pochinkovets in a competitive variety test; 2) to compare the general adaptive ability (GAA) of the selection achievement with other evaluation criteria. …”
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DaNet: Domain-adaptive white blood cell classification through synthetic augmentation and cross-domain feature alignment by Wenpeng Gao, Liantao Lan, Xiaomao Fan

“…However, current methods frequently face challenges with generalization, as they depend on training and testing data drawn from the same distribution. …”
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GFADE: generalized feature adaptation and discrimination enhancement for deepfake detection by ZhiYong Tian, Junkai Yi

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The Adaptation Study of The Student Engagement in the General Chemistry Laboratory Scale to Turkish by Ahmet Burak Şenöz, Elif Atabek-yiğit

“…As a result, The Student Engagement in The General Chemistry Laboratory Scale adapted to our language is a valid and reliable scale consisting of 25 items and six factors.…”
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Minimax rates and adaptivity in combining experimental and observational data by Chen Shuxiao, Li Sai, Zhang Bo, Ye Ting

“…For inference, we characterize the minimax rate for the length of confidence intervals and show that adaptation (to unknown confounding bias) is in general impossible. …”
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Adaptive Data Warehouse as the Technological basis of the banking Ecosystem by E. V. Vasilieva, K. S. Solyanov, T. D. Konevtseva

“…The article tackles the approach towards development of an adaptive model of a banking data warehouse, based on the principle of splitting data into components. …”
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Adaptive Feature Selection of Unbalanced Data for Skiing Teaching by Tao Feng

“…Aiming at the classification problem of high-dimensional unbalanced data, this paper proposes an adaptive feature selection method. …”
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Adaptive transmission scheme of generalized multi-carrier system based on orthogonal transformation by Pan TIAN, Ming-qi LI, Yun RUI, Min ZHENG, Zhi-yong BU

“…A joint adaptive hybrid single-carrier transmission scheme of orthogonal transformation mode and modulation and coding scheme(MCS)was proposed for orthogonal transformation generalized multi-carrier system(OT-GMC).The scheme achieved the maximal spectrum efficiency by adaptive switching the orthogonal transformation mode and MCS according to effective SINR.When identical transformation was used,the data of each sub-band could be transmitted adaptively and independently.As a result,the spectrum efficiency could be improved.When DFT was used,the signal had lower PAPR and it improved the efficiency of power amplifier.Essentially,this transmission scheme obtains the most optimum compromise performance of spectrum efficiency and PAPR in single-carrier hybrid transmission system.The simulation results show that the presented scheme is better than the single transmission scheme in the aspect of throughput performance.…”
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Novel adaptive generalized principal component analysis algorithm based on Hebbian rule by Yingbin GAO, Xiangyu KONG, Qiaohua CUI, Haidi DONG

“…In order to adaptively estimate the generalized principal component from input signals,a novel generalized principal component analysis algorithm was proposed based on the Hebbian linear neuron model.Since the autocorrelation matrices of the signals were estimated directly from the sampled data at the current time,the proposed algorithm had low computation complexity.Trough analyzing all of the equilibrium points by Lyapunov method,it is proven that if and only if the weight vector in the neuron had the same direction with the generalized principal component,the proposed algorithm attains the convergence status.Simulation results shows that compared with some same type algorithms,the proposed algorithm has faster convergence speed.…”
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Estimation for Weibull Parameters with Generalized Progressive Hybrid Censored Data by Xuanjia Zuo, Liang Wang, Huizhong Lin, Sanku Dey, Li Yan

“…In this paper, the interest is in estimating the Weibull products when the available data is obtained via generalized progressive hybrid censoring. …”
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Improved ratio type generalized class of estimators in two phase adaptive cluster sampling by Rohan Mishra, Rajesh Singh

“…The generalized expressions of Bias and Mean Squared Error (MSE) have been obtained up to the first order of approximation. …”
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Comprehensive Exploitation of Time- and Frequency-Domain Information for Bearing Fault Diagnosis on Imbalanced Datasets via Adaptive Wavelet-like Transform General Adversarial Netw... by Huachao Jiao, Wenlei Sun, Hongwei Wang, Xiaojing Wan

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The Adaption of Infectious Diseases Curriculum of Medical Students to the Future Career Needs of General Practitioners by Parsa Fazeli, Yahya Mohammadi, Zohreh Azarkar, Mohammadreza Raeisoon

“…This study aimed to evaluate the level of adaption of infectious diseases curriculum of medical students to their future career needs.Method: This cross-sectional study was conducted on all general practitioners working in South Khorasan province who were educated during the period from 2016 to 2020. …”
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Screening for anxiety and depression in the general population: Adaptation of the Patient Health Questionnaire-4 in Russia by A. A. Zolotareva, V. Yu. Kostenko, A. A. Lebedeva, M. A. Chumakova

“…The aim of this study was to adapt the Russian-language version of the PHQ-4 in the general population.Material and Methods. …”
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FADA-SMOTE-Ms: Fuzzy Adaptative Smote-Based Methods by Roudani Mohammed, El Moutaouakil Karim

“…Different approaches SMOTE based have been proposed to handle these problems, but most of them implement hyperparameters and tend to generate noise because the synthetic sample is generated, randomly, in the area delimited by current random minority data. In this research, an improved SMOTE-based method, namely Fuzzy-ADAptative-SMOTE-Based-Methods (FADA-SOMTE-Ms), which targets all three problems at the same time, is introduced. …”
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Adapting the Insurance Pricing Model for Distribution Channel Expansion Using the Bayesian Generalized Linear Model by Carina Gunawan, Muhamad Ivan Faizal, Nanang Susyanto

“…We validated our approach using data from the general insurance sector, comparing it with the traditional approach. …”
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Translation, cultural adaptation, and psychometric validation of the Persian version of the children's trust in general nurses’ scale by Jamalodin Begjani, Armin Zareian, Mohammad Mehdi Rajabi

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