Technical Analysis of a Non-Globally Integrated Stock Index by Franklin Antonio Gallegos-Erazo, Ana María Gallardo-Cornejo

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THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS by Andrii Ivashchenk, Tetiana Ivashchenko

Subjects: “…financial forecasting…”
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Fertility dynamics in Russia: assessment and forecast by D. K. Sopov

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Applying Technology Roadmapping to Exploratory Forecasting by Dmitry Belousov, Irina Sukhareva, Alexander Frolov

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Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…In order to assess the effectiveness of the proposed neural network in predicting the dynamics of inflammation, a comparative analysis was carried out using a number of conventional methods, such as exponential smoothing, moving average, least squares and group data handling.Conclusion.The proposed neural network based on approximation and extrapolation of variations in the patient’s medi‑ cal history over fixed time window segments (within the ‘sliding time window’) can be successfully used for forecasting the development and outcome of erysipelas.…”
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FRACTAL FORECASTING FINANCIAL MARKET FOREX by D. Chikatueva, A. Silchenko, T. Rachkova, K. Orobets

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Scenario forecasting for students’ professional future by V. S. Tretyakova

“…When developing a structure of a typical forecasting scenario for the professional future of a student, the methods of design, modelling, forecasting, generalisation and classification were applied.                …”
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Long-Term Solar Irradiance Forecasting by Braga D., Chicco G., Golovanov N.

“…The modeling includes pre-processing of historical data used for forecasting and post-processing of the types of days resulted from the clustering analysis. …”
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Modelling and Forecasting the Diffusion of Unicorn Startups by Lamia Bouaziz, Besma Teffahi

“…Our forecasting analyses suggest that all selected countries and sectors — except the US and Fintech — are likely to reach unicorn saturation by around 2030. …”
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Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

“…To address these challenges, we propose the Sentiment Analysis and Seasonal Decomposition (SASD) framework, a novel approach to enhance livestock price forecasting by integrating sentiment analysis of news data with seasonal decomposition of historical price trends. …”
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New Forecasting Metrics Evaluated in Prophet, Random Forest, and Long Short-Term Memory Models for Load Forecasting by Prajowal Manandhar, Hasan Rafiq, Edwin Rodriguez-Ubinas, Themis Palpanas

“…Data mining is vital for smart grids because it enhances overall grid efficiency, enabling the analysis of large volumes of data, the optimization of energy distribution, the identification of patterns, and demand forecasting. …”
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Refining Parkinson’s syndrome symptom forecasting using incorporated ocular imaging and the SymptoSense model by V. Jayasudha, N. Deepa, Devi Thiyagarajan

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Assessing feature importance for forecasting soil moisture in subarctic regions using gridded historical and forecasted climate data by Mojtaba Saboori, Kedar Surendranath Ghag, Anandharuban Panchanathan, Epari Ritesh Patro, Ali Torabi Haghighi

“…These data were gathered from six sites under different land covers in subarctic regions (Finland-Tyrnava) over approximately two growing seasons (July or August 2022–September 2023), yielding about 430 daily observations per site. The analysis showed that FORENV outperformed HIST for up to four days into the forecast horizon, highlighting the value of including forecasted variables for improved accuracy during these initial lead times. …”
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Dynamic modeling as a tool for the analysis of migration flows

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Exergy and energy-based sustainability evaluation of diesel-biodiesel-ethanol blends with emission forecasting using advanced machine learning models by Harish Venu, V. Dhana Raju, Jayashri N. Nair, Sameer Algburi, Ali E. Anqi, Ali A. Rajhi, Mohammed Kareemullah

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Trends and comparisons of diabetes burden in China and the world from 1990 to 2021,with forecasts to 2050:a systematic analysis of the global burden of disease study 2021 by Chenqing Liu, Yun Li, Nan Wang, Yandong Wu, Jiaqi Liu, Mengjie Ding, Shuhan Liu, Yibing Hao, Ying Wu, Shaopeng Liu

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International Foresight of the 2000s: A Comparative Analysis by Axel Zweck, Anette Braun, Sylvie Rijkers-Defrasne

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Incidence and prevalence of dysthymia among young adults in China, 1990–2021, with forecasts to 2046: an age-period-cohort analysis of the Global Burden of Disease Study 2021 by Jingxian Wu, Yaping Deng, Kunlu Tong, Zhifang Sun

“…Bayesian and Nordpred APC models were applied to forecast age-standardized incidence rates (ASIR) and prevalence rates (ASPR) for the next 25 years (2022–2046). …”
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Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

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Research on Medium and Long-Term Runoff Forecast of Xijiang River in Dry Season Based on Statistical Model by LAN Yuxi, ZHANG Yin, NONG Zhenchang, WEI Yongjiang

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