Past Expansion and Future Prediction of Land Use and Land Cover of Sofia City by D. Pavlov, D. Pavlov, L. L. Vitanova, D. Petrova-Antonova

“…The analysis revealed a slight increase in urban areas, primarily at the expense of cropland, between 1990–2018. …”
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An adaptive prediction method for ultra-short-term generation power of power system based on the improved long- and short-term memory network of sparrow algorithm by Peipei Yang, Zhidong Chen, Wen Tang, Zongyang Liu, Bingrui He

“…Abstract To achieve adaptive and accurate ultra-short-term power generation forecasting in power systems, this study proposes a novel prediction method combining Sparrow Search Algorithm (SSA) with Long Short-Term Memory (LSTM) networks. …”
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Simulation and Empirical Studies of Long Short-Term Memory Performance to Deal with Limited Data by Khusnia Nurul Khikmah, Kusman Sadik, Khairil Anwar Notodiputro

“…The best performance of the method is determined by testing the analysis of variance against the mean absolute percentage error. …”
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Using Convolutional Block Attention Module for Interpreting the Results of Artificial Neural Networks Operation in Handwritten Signature Identification by V. A. Mishchuk

“…One well-known obstacle to the introduction of artificial neural networks into forensic expert practice is the low level of their interpretability.This limitation makes it difficult for experts to determine what patterns were identified by the neural network algorithm, and which ones of them form the basis of its forecast. Furthermore, in most contemporary studies on handwriting analysis, specialists tend to use the “classical” authorship attribution approach, treating the task as a particular case of classification.However, in authors’ view, this method often leads to Type II errors making the use of classification algorithms for identification purposes unacceptable. …”
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The Agro-Industrial Complex of the China and the Position of the State in the World Market by V. M. Kuzmina, V. A. Sapryka

“…According to the forecast for 2023, India, China, Africa and a number of Central Asian countries will experience a decrease in world prices for agricultural products. …”
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Modeling and Prediction of a Guidewire's Reachable Workspace and Deliverable Forces by Afsoon Nejati-Aghdam, M. Ali Tavallaei

“…<italic>Methods:</italic> We used finite element (FE) analysis to simulate the interaction between the guidewire and a model of a tortuous vessel, and we used this simulation to predict the reachable workspace and deliverable forces of the device for various entry positions and angles. …”
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Spinner Innovation: Integrated Model for the Development and Prediction of Innovation by Figueiredo Ronnie

“…This research is underpinned by an analysis of scientific publications sourced from the Scopus database.…”
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A Forward-Looking Assessment of Robotized Operation and Maintenance Practices for Offshore Wind Farms by Henrique Vieira, Rui Castro

“…A forward-looking comparative economic analysis is conducted, assessing the cost-effectiveness of human-based versus robot-based inspection, maintenance, and repair (IMR) activities. …”
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Business activity in the Context of Western Sanctions and Turbulence in Russia’s Strategic Development by A. A. Frenkel, B. I. Tikhomirov, A. A. Surkov

“…This is an additional justification for its advantages, which should ensure its wider application both in the analysis of trends in the economic development of the state, and in the forecasting and analytical work of the Ministry of Economic Development of Russia and Rosstat.…”
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RETRACTED: LOGISTICAL APPROACHES TO IMPROVE THE MANAGEMENT OF PRODUCTION AND ECONOMIC ACTIVITIES OF BUSINESS ORGANIZATIONS by A. S. Senin, O. Yu. Mileshina

“…General scientific research methods (analysis and synthesis) revealed a dynamic and structural specifics of the development of the global logistics market, to determine the future direction of development. …”
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Ideas of education as basic guidelines for ensuring quality of life in modern conditions by F. R. Khatit, A. V. Leontyeva, T. N. Poddubnaya

“…The research methods used are analysis, theoretical generalization, forecasting.   …”
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Modelling the Modes of System of Asynchronous Centrifugal Units of Multi-Unit Pumping Station with Serial Connection of Pumps by Vladyslav Lysiak, Mykhailo Oliinyk

“…The development of effective control systems for such complexes in order to reduce energy consumption involves a comprehensive analysis of current modes and forecasting of both steady-state and dynamic modes by simultaneously studying their subsystems as a whole The replacement of obsolete centrifugal pumps of multi-unit pumping stations with main and booster pumps with the modern types with a significantly higher efficiency increases the importance of energy saving potential in dynamic modes. …”
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Predicting the Evolution of Capacity Degradation Histograms of Rechargeable Batteries Under Dynamic Loads via Latent Gaussian Processes by Daocan Wang, Xinggang Li, Jiahuan Lu

“…This study proposes a Latent Gaussian Process (GP) model to forecast the full distribution of capacity fade in the form of high-dimensional histograms, rather than relying on point estimates. …”
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Talent scouting and standardizing fitness data in football club: systematic review by Moch Yunus, Ronal Surya Aditya

“…The research has demonstrated that these models, specifically classification and regression models, can forecast a football player's performance score with up to 94% accuracy for forward positions. …”
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A novel approach for predicting the standardised precipitation index considering climatic factors by Mustafa A. Alawsi, Salah L. Zubaidi, Laith B. Al-badranee

“…This research provides a novel approach to forecasting the standardised precipitation index (SPI 3), considering several climatic variables by employing hybrid methods including (i.e., data pre-processing represented by normalisation, cleaning (i.e., outliers and Singular Spectrum Analysis), and best model input (i.e., tolerance technique), in addition to, artificial neural network (ANN) combined with particle swarm optimisation (PSO)). …”
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Market Phases and Price Discovery in NFTs: A Deep Learning Approach to Digital Asset Valuation by Ho-Jun Kang, Sang-Gun Lee

“…Through SHAP-based regime analysis, we identify distinct feature importance patterns across market phases, revealing how liquidity metrics, top trader activity, and royalty dynamics drive valuations in bear, bull, and neutral markets respectively. …”
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Modeling Traders’ Behavior with Deep Learning and Machine Learning Methods: Evidence from BIST 100 Index by Afan Hasan, Oya Kalıpsız, Selim Akyokuş

“…In this study, technical indicators were integrated into the methods of deep learning and machine learning, and the behavior of the traders was modeled in order to increase the accuracy of forecasting of the financial market direction. A set of technical indicators has been examined based on their application in technical analysis as input features to predict the oncoming (one-period-ahead) direction of Istanbul Stock Exchange (BIST100) national index. …”
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The interrelation of individual adaptive capabilities and peculiarities of living in crisis situations in adulthood by S. A. Malegonova, I. A. Ralnikova

“…Chermyanin), and Spearman correlation analysis. It has been found that the majority of respondents are in constructive living of the acute crisis with a favorable forecast of the way out of the crisis situation. …”
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Use of Machine Learning to Predict California Bearing Ratio of Soils by Semachew Molla Kassa, Betelhem Zewdu Wubineh

“…Therefore, it can be concluded that a random forest algorithm based on the analysis findings can accurately forecast the soil’s CBR.…”
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Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution by Yichen Wu, Zhihua Zhang, M. James C. Crabbe, Lipon Chandra Das

“…In order to demonstrate efficiency and accuracy of our models over traditional multilinear regression (MLR) downscaling models, we did a downscaling analysis for daily observed precipitation data from 34 monitoring sites in Bangladesh. …”
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