Modeling of monetary and credit system indicators of the Russian Federation in multidirectional scenarios of oil market dynamics by A. A. Pekhterev

“…To identify these models, we used System Identification Toolbox from Matlab software package, mostly used for mechanical systems’ analysis. Based on  the known input and output signals, a mathematical model was  estimated. …”
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Predicting the outflow of household deposits based on the intensity of search queries by I. N. Gurov, F. S. Kartaev, O. S. Vinogradova

“…The study was conducted using time series analysis models. Statistical data of Rosstat, Bank of Russia, searches in Yandex wordstat, Google Trends for the period from February 2009 to May 2022 were used. …”
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The artificial intelligence revolution in gastric cancer management: clinical applications by Runze Li, Jingfan Li, Yuman Wang, Xiaoyu Liu, Weichao Xu, Runxue Sun, Binqing Xue, Xinqian Zhang, Yikun Ai, Yanru Du, Jianming Jiang

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Digital transformation at what cost? A case study from Germany estimating the adoption potential of precision farming technologies under different scenarios by Johannes Munz, Ines Maurmann, Heinrich Schuele, Reiner Doluschitz

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Scientific basis for predicting the spread of pests by A. Fedorenko, O. Borzykh, V. Fedorenko, V. Chaika, L. Yushchenko

“…The concept of organizing a monitoring and forecasting system and further development of scientific support in plant protection in modern realities based on the following principles is substantiated: modern information technologies; efficiency; real-time connection «monitoring — forecast — consumer»; evolutionary nature, potential for further improvement. …”
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A novel early‐warning standardized indicator for drought preparedness and management under multiple climate model projections by Sadia Qamar, Veysi Kartal, Muhammet Emin Emiroglu, Zulfiqar Ali, Saad Sh. Sammen, Miklas Scholz

“…The MFSPEI methodology is primarily based on the first component of the Forecastable Component Analysis (FCA) and the Standardized Precipitation Evapotranspiration Index (SPEI). …”
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Prediction of Rice Yields in a Changing Climate Using the Mobile Rice Yield Prediction Application by Mohamad Farhan Mohamad Mohsin, Mohamad Ghozali Hassan, Kamal Imran Mohd Sharif, Mohd Azril Ismail, Liew Jun Hong, Muhammad Khalifa Umana, Hairazi Rahim@Abdul Rahim

“…Traditional prediction methods often struggle to capture the complex interaction between climatic and agricultural factors that cause a critical gap in accurately forecasting rice yields. This paper examines the Mobile Rice Yield Prediction Application (MRYPA) through a comparative analysis of two regression models: A baseline multiple linear regression model and an enhanced version incorporating polynomial and interaction terms. …”
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Flood and Rice Damage Mapping for Tropical Storm Talas in Vietnam Using Sentinel-1 SAR Data by Pepijn van Rutten, Irene Benito Lazaro, Sanne Muis, Aklilu Teklesadik, Marc van den Homberg

“…Humanitarian organizations have developed impact-based forecasting models to be able to trigger early actions before floods arrive. …”
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Discriminant validity of the Structured Inventory of Malingered Symptomatology (SIMS) under conditions of simulating symptoms by Oljača Milan, Baić Valentina, Bugarski-Ignjatović Vojislava

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Prediction of total phosphorus in wastewater treatment plant effluent based on deep learning by AN Yuning, ZHU Sifu, LIU Jing, DU Liwei, LIU Changqing

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Assessment of the WRF model configuration optimization in predicting the heavy rainfall over urban city Bhubaneswar, India by Alugula Boyaj, N. R. Karrevula, Madhusmita Swain, P. Sinha, Raghu Nadimpalli, Sahidul Islam, V. Vinoj, Manoj Khare, Dev Niyogi, U. C. Mohanty

“…Their performance was further evaluated by simulating an additional four HREs over Bhubaneswar. A novel rank analysis approach based on statistical techniques to determine the rank of each configuration. …”
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Liver disease trends in the Asia-Pacific region for the next 50 years by Shuichiro Shiina, Javkhlan Maikhuu, Qing Deng, Terguunbileg Batsaikhan, Lariza Marie Canseco, Maki Tobari, Hitoshi Maruyama, Hiroaki Nagamatsu, Diana Alcantara-Payawal, Rino Gani, Yi-Hsiang Huang, Tawesak Tanwandee, Giovanni Galati, Yoon Jun Kim

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Psychological and Pedagogical Bases for Determining the Future of Vocational Education: Vectors of Development by Yu. P. Zinchenko, E. M. Dorozhkin, E. F. Zeer

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Short-Term Electricity Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Improved Sparrow Search Algorithm–Convolutional Neural Netwo... by Han Qiu, Rong Hu, Jiaqing Chen, Zihao Yuan

“…Accurate power load forecasting plays an important role in smart grid analysis. …”
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INVESTMENT AND INNOVATION FACTORS IN THE MECHANICAL ENGINEERING OF THE REGIONS IN THE IMPLEMENTATION OF THE PROGRAMME OF DEVELOPMENT OF THE ARCTIC ZONE OF THE RUSSIAN FEDERATION by A. N. Dmitrievsky, A. N. Mastepanov, T. Kh. Usmanova, M. V. Krotova

Subjects: “…strategic planning and forecasting…”
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MODELING THE NUMBER OF EMPLOYEES FOR SMALL BUSINESS DEVELOPMENT by Ysakova M. Sh., Ysakov T. Sh.

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ANALYSIS OF THE DEVELOPMENT OF THE GAS INDUSTRY by T. Bobyleva, A. Khripunova

“…The article describes the current state, prospects of development of world and domestic gas industry. The analysis of exploration resources gas. Presented to world leaders in the production of natural gas. …”
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The Impact of the Internal Expenditures on R&D in the Growth of Small and Medium-Sized Businesses in the Republic of Kazakhstan by R. U. Rakhmetova, A. A. Nurpeissova, R. E. Andekina

“…The aim of the article is to investigate the relationship between the number of active small and medium-sized businesses in Kazakhstan and the number of internal costs for research and development projects based on the use of economic and mathematical forecasting methods. As a result of the application of statistical and mathematical methods, the analysis of changes in the number of active SMEs and the volume of R&D expenditures in the Republic of Kazakhstan for the period 1999-2019 was carried out on the basis of constructing a paired linear regression model. …”
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Current approaches to modeling of epidemic process of non-polio Enterovirus infections by M. V. Novoselova, N. Yu. Potseluev, E. B. Brusina

“…Epidemic process was studied using autocorrelation analysis, Fourier analysis, and neural networks using STATISTICA Automated Neural Networks (SANN) tool and StatTech v. 3.0.5.Results. …”
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Estimation of the initial agrochemical index of farmland fertility by average weighted integral indices by A. D. Gumbarov, E. V. Dolobeshkin

“…An assessment of the initial state of farmland fertility on the basis of an agrochemical soil analysis makes it possible to determine the direction of the complex of land reclamation measures that help to increase soil fertility. …”
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