Forecasting and Evaluation of Non-Performing Loans in the Turkish Banking Sector by Hazar Altınbaş, Gülay Selvi Hanişoğlu

“…Lagged values of several macroeconomic, bankspecific and uncertainty factors are included as determinant variables in the analyses. Methods provide insight about the relationship of included variables with non-performing loans. …”
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Forecasting mortality and DALYs from air pollution in SAARC nations by Amna Amer, Nadia Mushtaq, Olayan Albalawi, Muhammad Hanif, Emad E. Mahmoud, Muhammad Nabi

“…Statistical analyses reveal a consistent upward trend in deaths and DALYs during the forecasting period, primarily driven by Ambient Particulate Matter Pollution (APM) and Ambient Ozone Pollution (AOP). …”
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Weather patterns forecast the severity of cervical spinal cord injuries by Robert J. Quon, Josh Feler, Ziqi Wang, Owen P. Leary, Anarina Murillo, Jared S. Fridley

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Evolution of the Seismic Forecast System Implemented for the Vrancea Area (Romania) by Victorin-Emilian Toader, Constantin Ionescu, Iren-Adelina Moldovan, Alexandru Marmureanu, Iosif Lıngvay, Andrei Mihai

“…As a result, real-time analyses of radon and CO₂ emissions are now publicly available at afros.infp.ro, dategeofizice. …”
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Biosensor response to multi-component mixtures statistical analysis and forecasting by Romas Baronas, Sigitas Būda, Feliksas Ivanauskas, Pranas Vaitkus

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Sales Forecasting in the Context of Seasonal Activities and Company Sustainable Growth by Ion Stancu, Dumitra Stancu, Dalina Dumitrescu, Andrei Tinca

“…The paper presents the use of the “time series model” to forecast the quarterly and yearly sales for a company with business seasonality. …”
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A methodology to forecast some attributes of an automatic storyteller’s outputs by Iván Guerrero Román, Rafael Pérez y Pérez

“…Next, we make use of those correlations to forecast some properties of the future tales to be developed by different MEXICAs agents with different knowledge-bases. …”
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Robust time series analysis for forecasting photovoltaic energy yield by Sapundzhi Fatima, Chikalov Aleksandar, Georgiev Slavi, Georgiev Ivan, Todorov Venelin

“…This study introduces an approach to forecasting the power output of a photovoltaic (PV) system by employing an ARIMA-based algorithm. …”
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Forecasting Financial Literacy Levels with Respect to Consumer Shopping Behaviour by Eva Kicova, Lucia Svabova, Olga Ponisciakova, Zuzana Rosnerova

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Looking for Accurate Forecasting of Copper TC/RC Benchmark Levels by Francisco J. Díaz-Borrego, María del Mar Miras-Rodríguez, Bernabé Escobar-Pérez

“…Forecasting copper prices has been the objective of numerous investigations. …”
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An Open-Source IT Tool for Energy Forecast of Renewable Energy Communities by Antonio De Paola, Emma Musiari, Lara Fortunati, Francesco Gregori, Gian Piero Anselmi, Nikoleta Andreadou, Evangelos Kotsakis, Gianluca Fulli

“…While a significant amount of research has focused on optimizing the operation of existing RECs to maximize their performance and economic benefits, fewer studies have analysed the forecast of future REC performance to support the planning of new communities. …”
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Forecasting Financial Distress for Shaping Public Policy: An Empirical Investigation by Soumya Ranjan Sethi, Dushyant Ashok Mahadik

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Enhancing Air Quality Forecasting Using Machine Learning Techniques by Zeinab Shahbazi, Zahra Shahbazi, Slawomir Nowaczyk

“…Its intelligent algorithms continuously analyse air quality information, allowing it to predict and address poor air quality. …”
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Energy security of Ukraine and the world: assessment of the impact of the russian-Ukrainian war and forecasts of market transformation by V.V. Ksendzuk, M.Yu. Pokotylo

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Improving short-term forecasts of sea ice edge and marginal ice zone around Svalbard by Keguang Wang, Caixin Wang, Nick Hughes, Alfatih Ali

“…Assimilation of SST mildly improves the analyses of SIE and MIZ, and additional assimilations of AMSR2 SIC and ice chart considerably improve the analyses and forecasts. …”
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Optimizing energy forecasts at Boma for 2023 to 2053 Using machine learning techniques of the PSO algorithm by André Mampuya Nzita, Bernard Ndaye Nkanka, Guyh Dituba Ngoma, Clément N’zau Umba-di-Mbudi

“…In parallel, machine learning techniques were employed to predict energy consumption, with the Particle Swarm Optimization (PSO) algorithm used to optimize forecasts. The forecasting model was accompanied by statistical analyses, including the Pearson correlation coefficient and the Student t-test, to validate the results. …”
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The Impact of Radiosounding Observations on Numerical Weather Prediction Analyses in the Arctic by T. Naakka, T. Nygård, M. Tjernström, T. Vihma, R. Pirazzini, I. M. Brooks

“…The spatial coverage of the network was evaluated using a numerical weather prediction model, comparing radiosonde observations from Arctic land stations and expeditions in the central Arctic Ocean with operational analyses and background fields (12‐hr forecasts) from European Centre for Medium‐Range Weather Forecasts for January 2016 to September 2018. …”
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ANALYSING THE MAIN INDICATORS OF GLOBAL TOURISM FLOWS IN EVOLUTION AND STRUCTURE by Smaranda SIMONI, Daniela MIHAI

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ANALYSES OF LANDSCAPE GEOGRAPHIC IMPACTS OF POTENTIAL CLIMATE CHANGE IN HUNGARY by PÉTER CSORBA, GÁBOR MEZŐSI, GABRIELLA SZÉPSZÓ, VIKTÓRIA BLANKA, BURGHARD C. MEYER, RÓBERT VASS

“…There is a predictedgrowth in frequency of extreme weather events (heat waves, droughts hailstorms). Changes have been forecasted using data presented in table 1. For analyses of complex landscape geographic impacts ofclimate change the area of Hungary have been divided into 18 mesoregions with 5.000-10.000 km2 area each (figure 1). …”
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STATISTICAL SYNTHESIS OF FORECAST CHARACTERISTICS OF COMPLEX TECHNICAL SYSTEM BY TIME SERIES by N. A. Severcev, V. M. Balick, E. V. Balick

“…The article analyses the problem of building a medium-term forecast of the recovery trend in the average. …”
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