Prediction of Radiation Belts Electron Fluxes at a Low Earth Orbit Using Neural Networks With PROBA‐V/EPT Data by Edith Botek, Viviane Pierrard, Alexandre Winant

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Machine Learning for Prediction of Relapses in Multiple Drug Resistant Tuberculosis Patients by A. S. Аlliluev, O. V. Filinyuk, E. E. Shnаyder, S. V. Аksenov

“…The tools of the scikit-learn library, Version 0.24.2 in the Google Colaboratory interactive cloud environment were used to build forecasting models.Results. Analysis of the characteristics of relapse prediction models in cured MDR TB patients using machine learning algorithms including decision tree, random forest, gradient boosting, and logistic regression using K-block stratified validation revealed high sensitivity (0.74 ± 0.167; 0.91 ± 0.17; 0.91 ± 0.14; 0.91 ± 0.16, respectively) and specificity (0.97 ± 0.03; 0.98 ± 0.02; 0.98 ± 0.02; 0.98 ± 0.02, respectively).Five main predictors of relapse in cured MDR-TB patients were identified: repeated courses of chemotherapy; length of history of tuberculosis; destructive process in the lungs; total duration of treatment less than 22 months; and use of less than five effective anti-TB drugs in the regimen of chemotherapy.…”
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Differentially Private Clustered Federated Load Prediction Based on the Louvain Algorithm by Tingzhe Pan, Jue Hou, Xin Jin, Chao Li, Xinlei Cai, Xiaodong Zhou

“…Finally, a personalized and adaptive differentially private federated learning Long Short-Term Memory (LSTM) model for load forecasting is developed. A case study analysis shows that the proposed method can effectively protect user privacy and improve model prediction accuracy when dealing with heterogeneous data. …”
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Reliability and Quality of Complex Systems by A.A. Barzov, A.S. Grigoriev, Ya.D. Seina, V.S. Puzakov, A.Zh. Kasenov, N.N. Safronova

“…A distinctive feature of the proposed forecasting model is the absence in its structure of absolute values of damage to products, for example, the material of their surface layer. …”

SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction by Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Caifeng Gao, Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong

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Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market by Konstantinos Plakas, Nikos Andriopoulos, Dimitrios Papadaskalopoulos, Alexios Birbas, Efthymios Housos, Ioannis Moraitis

“…The proposed methodology was evaluated using real data from the Greek balancing market. Comparative analysis with alternative models including a persistence model, Quantile Linear Regression, Long Short-Term Memory, and Quantile Regression Forest reveals that the proposed approach consistently outperforms the rest in terms of forecast accuracy. …”
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Memory-Efficient Batching for Time Series Transformer Training: A Systematic Evaluation by Phanwadee Sinthong, Nam Nguyen, Vijay Ekambaram, Arindam Jati, Jayant Kalagnanam, Peeravit Koad

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Geological and reservoir modelling of coalbed methane in Karadon Region of Zonguldak Basin (Türkiye): A case study by Demet Banu Koralay, Turhan Ayyildiz, Mehmet Sıddık Kızıl, Sofiane Belhocine, Muhammed Emin Bulguroğlu

“…In this study, we are proposing for the first time an integrated approach of geological modelling, reservoir characterization, and production forecasting of one coalbed methane block within Zonguldak Basin to understand the potential of this unconventional resource. …”
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Assessment of the Need for Construction of Cargo Ships Under Sanctions Pressure by N. V. Brikotnina

“…To forecast the volume of cargo transportation by water transport, the method of multiple correlation and regression analysis was used.Results. …”
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Distribution‐Based Model Evaluation and Diagnostics: Elicitability, Propriety, and Scoring Rules for Hydrograph Functionals by Jasper A. Vrugt

“…We discuss past developments that led to the current state‐of‐the‐art of distribution evaluation in hydrology and review scoring rules for dichotomous and categorical events, quantiles (intervals) and density forecasts. We are particularly concerned with elicitable functionals and scoring rule propriety, discuss the decomposition of scoring rules into a sharpness, reliability and entropy term and present diagnostically appealing strictly proper divergence scores of hydrograph functionals for flood frequency analysis, flow duration and recession curves. …”
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Advanced AI and big data techniques in E-finance: a comprehensive survey by Rihab Najem, Ayoub Bahnasse, Meryem Fakhouri Amr, Mohamed Talea

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Estimation and prediction of water conservation in the upper reaches of the Hanjiang River Basin based on InVEST-PLUS model by Pengtao Niu, Zhan Wang, Jing Wang, Yi Cao, Peihao Peng

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Integration of sentinel surveillance and climate factors to accelerate malaria elimination in a changing climate of Senegal by Ibrahima Mamby Keita, Mariama Diouf, Medoune Ndiop, Boly Diop, Khaly Gueye, Marianne Kouawo, Ousmane Ndiaye, Doudou Sene, Elhadji Mamadou Ndiaye, Marie Khemesse Ngom Ndiaye

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DISTRIBUTION ANALYSIS OF THE POWER SYSTEMS FAULTS by Popescu V.S.

“…In our days the significant number of power systems faults is taking place in power grids, being caused by various random factors. An in-depth analysis of these factors and of their distribution is needed in order to provide reliable forecasts and the desired degree of the power grids stability. …”
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Analysis of indicators of regional economic safety by K. K. Loginov

“…The article dwells upon the problem of the analysis of economic safety of the Russian regions. …”
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PLANES: Plausibility analysis of epidemiological signals. by V P Nagraj, Amy E Benefield, Desiree Williams, Stephen D Turner

“…We have developed a novel approach for assessing the plausibility of infectious disease forecasts and surveillance data. The PLANES (PLausibility ANalysis of Epidemiological Signals) methodology is designed to be multi-dimensional and flexible, yielding an overall score based on individual component assessments that can be applied at various temporal and spatial granularities. …”
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Development of Economic Analysis: Predictive Analytics, ESG Analytics, Analysis of Transformation Processes at the Meso- and Micro-Levels by V. G. Kogdenko

“…This approach encompasses strategic assessments, revenue forecasting, investment modeling, dividend analysis, external capital needs, profit simulations, stress testing, and fundamental cost calculations. …”
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ALTERNATIVE FUNDING THECNIQUES. COMPARATIVE ANALYSIS by Elena Mihaela ILIESCU, Aurel PLETEA

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Analysis of the Feasibility of the Restructuring Plan: A Case Study of Poland by Krzysztof Gawron

“…Research Design & Methods: Qualitative methods, i.e. analysis of documents and review of literature and legal acts, as well as quantitative methods, i.e. cost-benefit analysis, were used for the analyses. …”
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ON THE METHODOLOGY OF THE DESIGN OF TRANSPORT AND ECONOMIC BALANCE by E. A. Zhukov, A. I. Fedorenko

“…The article contains a critical analysis of existing methods of forecasting of volumes of transport services on the basis of the analysis of the dynamics of volumes of commodity fl ows at the regional and Federal levels. …”
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