The Approximate Solution of Some Plane Boundary Value Problems of the Moment Theory of Elasticity by Roman Janjgava

“…Based on the general solution, an algorithm of constructing approximate solutions of boundary value problems is developed. …”
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MAXGDDP:decision data release with differential privacy by Jibin FU, Xiaojian ZHANG, Liping DING

“…Specialization-based private decision data release has attracted considerable research attention in recent years.The relation among hierarchical node,taxonomy tree,and budget allocation directly constrains the accuracy of data release and classification.Most existing methods based on hierarchical specialization cannot efficiently address the above problems.An effective method was proposed,called MAXGDDP to publish decision data with specialization.MAXGDDP employed MAX index attribute selection algorithm to select the highlight concept for furthering specialization in each hierarchy.Besides,for making more rational use of privacy budget,MAXGDDP relied on geometric strategy to allocate the privacy budget in each hierarchy.Compared with existing methods such as DiffGen on the real datasets,MAXGDDP outperforms its competitors,achieves data privacy and the better result of classification simultaneously.…”
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BI-DIRECTIONAL EVOLUTIONARY STRUCTURAL OPTIMIZATION USING ADAPTIVE P-VERSION FINITE ELEMENT METHOD by XU JiaoE, YAO Song, LIU Rong

“…According to the error control parameter setting,the element order is improved adaptively through the element energy error analysis,which effectively improves the finite element calculation accuracy,and the sensitivity filtering algorithm and the stabilization strategy are adopted to mitigate the checkerboard and iterative oscillation phenomenon. …”
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A study of the stored energy in titanium under deformation and failure using infrared data by A.Yu. Fedorova, M.V. Bannikov, O.A. Plekhov

“…The original mathematical algorithm for experimental data processing has been applied to obtain the rate of heat dissipation generated by plastic deformation and stored energy. …”
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Factors Influencing the Timing of the First HIV Virological Test for HIV Exposed Infants; A Cross Sectional Descriptive Study of HIV Positive Breastfeeding Mothers and their Infant... by Enos Mirembe, Masereka, Edson Musungu, Bwambale, Edson, Katsomyo, Clement, Munguiko

“…Introduction: Although Option-B plus has registered tremendous success in the Prevention of Mother to Child Transmission (PMTCT) of HIV, the failure to follow the HIV testing algorithm for HIV Exposed Infants (HEIs) after birth is likely to make achieving zero new HIV infections among children unrealistic. …”
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On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise by Rasaki, Olawale Olanrewaju, Anthony, Gichuhi Waititu, Nafiu, Lukman Abiodun

“…We developed and established a Weibull Mixture Autoregressive model of k-regimes via WMAR(k; p1, p2, , pk ) with Expectation-Maximization (EM) algorithm adopted as parameter estimation technique. …”
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Fréchet Random Noise for k-Regime-Switching Mixture Autoregressive Model by Rasaki, Olawale Olanrewaju, Anthony, Gichuhi Waititu, Nafiu, Lukman Abiodun

“…Fréchet Mixture Autoregressive (FMAR) model of k-regime-switching, denoted by FMAR(k; p1, p2 ,, pk ) was developed and Expectation-Maximization (EM) algorithm was used as a method of parameter estimation for the embedded coefficients of AR of k-mixing weights and lag pk. …”
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Characterization and Selection of WiFi Channel State Information Features for Human Activity Detection in a Smart Public Transportation System by Roya Alizadeh, Yvon Savaria, Chahe Nerguizian

“…Principal Component Analysis (PCA) is performed before the decision tree algorithm. Reported results are compared with those obtained from the existing methods. …”
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Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model by Zeng Y, Lu H, Li S, Shi QZ, Liu L, Gong YQ, Yan P

“…The area under the receiver operating characteristic curve (AUC) was used to evaluate model’s performance, and then the TreeShap algorithm was employed to interpret the variable contributions.Results: A total of 184 children were enrolled in this study, of whom 19 (10.33%) developed ATB-DILI. …”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…Due to its capability to preserve past information, the LSTM algorithm was implemented as a time series forecasting model. …”
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Metode Ensemble Classifier untuk Mendeteksi Jenis Attention Deficit Hyperactivity Disorder (SDHD) pada Anak Usia Dini by indri - ati, ari kusyanti

“…However, when the k value, i.e k >=20 then the value for each algorithm will decrease. This is due to the calculation of all the classification algorithm based on the number of its neighbors. …”
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Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study by Xiao-Qin Luo, Ning-Ya Zhang, Ying-Hao Deng, Hong-Shen Wang, Yi-Xin Kang, Shao-Bin Duan

“…The eXtreme Gradient Boosting algorithm was applied to establish a prediction model for MAKE30. …”
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Throughout Maximization for IRS-Assisted WPCN With Hybrid TDMA-NOMA Scheme by Yizheng Ma, Ruoyi Wu, Yi Zhang, Yupeng Shang, Linzhen Zhu

“…Additionally, the semi-closed-form expressions of IRS phase shifts during WET and WIT stages are iteratively achieved through Riemannian Manifold Optimization (RMO) and quadratic transformation (QT)-based Alternating Direction Method of Multipliers (ADMM) algorithms. Finally, the numerical results are demonstrated to highlight the effectiveness of the proposed algorithm, the optimal IRS phase shift design, and the optimal WET time scheduling design in comparison to the benchmarks.…”
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Retrieval of Atmospheric CO2 and CH4 Variations Using Ground-Based High Resolution Fourier Transform Infrared Spectra by Tian Yuan, Liu Cheng, Sun You Wen, Xie Pin Hua, Wang Wei, Liu Wen Qing, Liu Jian Guo, Li Ang, Hu Ren Zhi, Zeng Yi

“…Both a forward analysis and an inversion algorithm are included in the retrieval. The forward analysis uses the modeled atmospheric transmittance to line-by-line (LBL) convolute the instrument line shape function. …”
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Machine learning model and nomogram to predict the risk of heart failure hospitalization in peritoneal dialysis patients by Liping Xu, Fang Cao, Lian Wang, Weihua Liu, Meizhu Gao, Li Zhang, Fuyuan Hong, Miao Lin

“…Introduction The study presented here aimed to establish a predictive model for heart failure (HF) and all-cause mortality in peritoneal dialysis (PD) patients with machine learning (ML) algorithm.Methods We retrospectively included 1006 patients who initiated PD from 2010 to 2016. …”
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LoSI: Large Scale Location Inference Through FM Signal Integration and Estimation by Tathagata Mukherjee, Piyush Kumar, Debdeep Pati, Erik Blasch, Eduardo Pasiliao, Liqin Xu

“…The algorithm uses a large-scale model estimation phase that computes the expected FM spectrum in small rectangular cells (realized using geohashes) across the Contiguous United States (CONUS). …”
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Itraconazole promotes melanoma cells apoptosis via inhibiting hedgehog signaling pathway-mediated autophagy by Shunqiao Jin, Shunqiao Jin, Xiaojiao Liu, Xiaojiao Liu, Lingqin Cai, Lingqin Cai, Jiayu Yan, Ling Li, Hongjun Dong, Yuxue Gao, Xicong Zhu, Cong Zhang, Xuezhu Xu

“…A melanoma cell xenograft mouse model was established to evaluate the inhibitory mechanisms of itraconazole on tumor cell proliferation.ResultUsing the PMF machine learning algorithm, SQSTM1 was identified as the primary target of itraconazole. …”
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Are Suggested Hiking Times Accurate? A Validation of Hiking Time Estimations for Preventive Measures in Mountains by Marco Vecchiato, Nicola Borasio, Emiliano Scettri, Vanessa Franzoi, Federica Duregon, Sandro Savino, Andrea Ermolao, Daniel Neunhaeuserer

“…Real-world hiking times were compared with estimations from Komoot, Outdooractive, mountain signage, and the MOVE algorithm, which incorporates individualized biological and trail characteristics. …”
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Klasifikasi Tenun Timor Menggunakan Metode SVM Berdasarkan Speeded Up Robust Features by Yoseph P.K. Kelen, Budiman Baso

“…In visual words with a cluster value of 500 with the SVM multi-class classification algorithm, namely the OVO (One Versus All) method using a linear kernel, the best results were obtained in this study with an accuracy level of 98.10%. …”
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Peningkatan Performa Komputasi Sistem Navigasi Transportasi Publik Pada Perangkat Bergerak Melalui Penerapan Teknik Kompresi Data dan Penyederhanaan Graf by Aryo Pinandito, Agi Putra Kharisma, Muhammad Aminul Akbar, Mochamad Chandra Saputra

“…The plans are generated from the implementation of Dijkstra's algorithm, which is modeled in the graph data structure. …”
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