Neuromathematics as an effective tool for forecasting social development of Russian regions by R.V. Gubarev, E.I. Dzyuba

“…A slowdown of social development is also predicted for the leading regions of the Volga Federal District in 2016–2017, but only as compared to 2015. …”
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STUDY ON FATIGUE LIFE IN FREQUENCY DOMAIN FOR BOGIE FRAME by ZHU Tao, XIAO ShouNe, YANG GuangWu, LIU JianShu

“…Finally,the multi-point and multi-axis random vibration analysis of the bogie frame was processed,the real operating conditions of the structure were simulated,and the weak fatigue position of the structure was predicted. The results shows that the fatigue life calculation of the frequency-domain can be good used to predict the vibration fatigue,and provide an effective method for anti-fatigue design of bogie frame.…”
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Forecasting Methods in Various Applications Using Algorithm of Estimation Regression Models and Converting Data Sets into Markov Model by Mohammed M. El Genidy, Mokhtar S. Beheary

“…This study has proposed a new algorithm for predicting water quality called “Algorithm of Estimation Regression Model” (AERM). …”
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Is There a Reversal in the Effect of Obesity on Mortality in Old Age? by Jiska Cohen-Mansfield, Rotem Perach

“…Obesity was significantly predictive of higher mortality for persons aged 75–84, but from age 85 onwards, obesity had a protective effect on mortality albeit at a nonsignificant level. …”
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DYNAMIC TENSILE TEST AND DATA VERIFICATION METHOD OF AUTOMOTIVE HIGH STRENGTH STEEL PLATE by PAN YuanAn, CAO GuangXiang, FENG YuTao, GAO WenQiang, LI Xin

“…Accurate measurement of the dynamic properties of materials plays an important role in accurately predicting the collision resistance of the car body. …”
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Analytical Solutions for Corrosion-Induced Cohesive Concrete Cracking by Hua-Peng Chen, Nan Xiao

“…Finally, the analytical predictions are examined by comparing with the published experimental data, and mechanical parameters are analysed with the progress of reinforcement corrosion and through the concrete cover.…”
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Clinical Interaction between Brain and Kidney in Small Vessel Disease by Masaki Mogi, Masatsugu Horiuchi

“…These results indicate that CKD markers may be helpful to predict the future risk of neuronal disease.…”
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The Other Side of Gravity and Geometry: Antigravity and Anticurvature by M. I. Wanas

“…From more than one decade, existing gravity theories have suffered from some problems, when confronting their predictions with the results of some experiments and observations. …”
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Infertility and Psychological Well-Being: The Interplay of Post-Traumatic Growth and Affective Personality Types in Infertile Lebanese Muslim Women by Fatin Khalifeh, Anastasia Salame, Ghina Ghazeeri

“…It specifically focused on predicting post-traumatic growth and its correlation with positive and negative affect, as well as affective personality type (APT). …”
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Strategic target management in  the energy sector by A. A. Seregina

“…It is worth noting that the strategic target management with regard to the predicted indicators of fuel and energy balances needs significant improvement. …”
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D2D cooperative caching strategy based on graph collaborative filtering model by Ningjiang CHEN, Linming LIAN, Pingjie OU, Xuemei YUAN

“…A D2D cooperative caching strategy based on graph collaborative filtering model was proposed for the problem of difficulty in obtaining sufficient data to predict user preferences in device-to-device (D2D) caching due to the limited signal coverage of base stations.Firstly, a graph collaborative filtering model was constructed, which captured the higher-order connectivity information in the user-content interaction graph through a multilayer graph convolutional neural network, and a multilayer perceptron was used to learn the nonlinear relationship between users and content to predict user preferences.Secondly, in order to minimize the average access delay, considering user preference and cache delay benefit, the cache content placement problem was modeled as a Markov decision process model, and a cooperative cache algorithm based on deep reinforcement learning was designed to solve it.Simulation experiments show that the proposed caching strategy achieves optimal performance compared with existing caching strategies for different content types, user densities, and D2D communication distance parameters.…”
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Initial orientation of the fretting fatigue cracks in shrink-fit connection specimens by Ciro Santus

“…The more compressive stress below the contact can therefore be compensated, and consequently the inward shallow direction is correctly predicted.…”
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Machine learning-based analyzing earthquake-induced slope displacement. by Jiyu Wang, Niaz Muhammad Shahani, Xigui Zheng, Jiang Hongwei, Xin Wei

“…The findings suggest that the XGBoost model developed in this study is highly effective in predicting earthquake-induced slope displacement, offering valuable insights for early warning systems and slope stability management.…”
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A Numerical Modelling Approach for Time-Dependent Deformation of Hot Forming Tools under the Creep-Fatigue Regime by B. Reggiani, L. Donati, L. Tomesani

“…The present study was aimed at predicting the time-dependent deformation of tools used in hot forming applications subjected to the creep-fatigue regime. …”
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Methodology for Assessing Information Development in the World Economy and its Adaptation for the Republic of Belarus by A. M. Baranov

“…The model of the change trend of the Global Connectivity Index for Belarus, which allows predicting its change, has been built. The model of the trend changes in the global index of network interaction for the Republic, that allows to predict its change, as well as a model for the evolution of the functions of changes in the human development index and the index of network readiness over time, were built. …”
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Image Processing-Based Spall Object Detection Using Gabor Filter, Texture Analysis, and Adaptive Moment Estimation (Adam) Optimized Logistic Regression Models by Nhat-Duc Hoang

“…Based on the computed texture-based features, the logistic regression model trained by the state-of-the-art adaptive moment estimation (Adam) is utilized to establish a decision boundary that delivers predictions on the status of “nonlocalized spall” and “localized spall.” …”
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Multivariate Image Analysis Applied to Cross-Laminated Timber: Combined Hyperspectral Near-Infrared and X-ray Computed Tomography by Dietrich Buck, Olle Hagman

“…MIA was performed on these results to build predictive models for wood features, such as fibre alignment and knot type. …”
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An International Comparison of Women's Health Issues in the Philippines, Thailand, Malaysia, Canada, Hong Kong, and Singapore: The CIDA-SEAGEP Study by Bernard Choi

“…A number of forthcoming changes in women's health patterns in developing countries were also predicted.…”
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Optimization Design of Phononic Crystals Based on BPNN-MPA in Applied Mathematical Analysis by Peiyun Ge

“…However, Models 2 and 5 have poor predictive performance for bandgap width due to overfitting during actual training. …”
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Renal Impairment after Spontaneous Bacterial Peritonitis: Incidence and Prognosis by Gabriela Perdomo Coral, Angelo Alves de Mattos

“…The aim of the present study was to assess the incidence, predictive factors and prognosis for renal impairment (RI) after SBP in cirrhotic patients from southern Brazil.…”
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