THE ECONOMIC STRUCTURES IN THE ROMANIAN REGIONS AND COUNTIES AND THE EU MEMBER STATES. COMPARATIVE ANALYSES. by Marioara, IORDAN, Mihaela Nona, CHILIAN, Ion, GHIZDEANU, Dalina Maria, ANDREI

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The environmental justice implications of retirement age assumptions in domestic well vulnerability analyses by Kristin Babson Dobbin, Darcy Bostic

“…Domestic well vulnerability analyses are an important tool that can help water managers prevent and mitigate such impacts. …”
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Analyse du vent sur l'aérodrome de Brasov-Ghimbav (Roumanie) by Marian Ilie Briceag

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A comparative study of forecasting methods using real-life econometric series data by Cláudia Eliane da Matta, Natália Maria Puggina Bianchesi, Milena Silva de Oliveira, Pedro Paulo Balestrassi, Fabiano Leal

“…Artificial neural networks are one of the most promising tools to forecast economic trends and are being widely studied in economic analyses. …”
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Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective. by Md Maeen Molla, Md Sifat Hossain, Md Ayub Ali, Md Raqibul Islam, Mst Papia Sultana, Dulal Chandra Roy

“…Following the time series and ML analyses, a consistent trend emerges in the forecasted values for NMR and U5MR, which consistently fall below their respective 2030 targets. …”
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COMPARATIVE FORECAST OF ORGANIC EGG PRODUCTION IN ROMANIA AND THE EUROPEAN UNION: INSIGHTS FOR 2014–2030 by Raluca-Aniela GHEORGHE-IRIMIA, Dana TĂPĂLOAGĂ, Cosmin ȘONEA, Paul-Rodian TĂPĂLOAGĂ, Silviu-Ionuț BEIA, Makki Khalaf Hussein AL DULAIMI, Alexandru USTU

“…The study analyses and forecasts organic egg production in Romania and the European Union (EU) from 2014 to 2030, emphasizing significant variations in scale, growth patterns, and market maturity. …”
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Forecasting agricultural tourism experience quality using internet of things and big data in China by Meng Zhu

“…In response to this issue, this research builds a prediction model for agricultural tourism experience quality assessment using big data and the Internet of Things (ATEQA-BD-IoT). The model analyses visitor data, such as feedback, engagement levels, and knowledge gain, to forecast happiness and subsequent engagement. …”
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Forecast of oil and gas reservoirs of the Sea of Okhotsk based on interpretation processing of seismic material by А. К. Shatyrov

“…Background. This article analyses the results of geological and geophysical studies conducted in the Okhotsk Sea area with the purpose of developing methods for processing seismic information in combination with other data to solve the problems of forecasting hydrocarbon deposits.Aim. …”
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Forecasting Ghanaian Medical Library Users’ Artificial Intelligence (AI) Technology’s Acceptance and Use by Kwesi Gyesi, Vivian Amponsah, Samuel Ankamah

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A Fuzzy AHP-Based Method for Comprehensive Blasting Vibration Comfort Evaluation Forecast by Qiang Yao, Xingguo Yang, Hongtao Li

“…It is found that more than 85% and 62% of forecast results had an error of less than 1.0 and 0.5, respectively. …”
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Forecasting the production and export of shrimp in Bangladesh: a policy focused time series analysis by Mobin Hossain Shohan, Mohammad Mahfujul Haque

“…IntroductionThe study analyses shrimp industry of Bangladesh, highlighting its growth potential amid challenges such as declining export volumes, quality compliance issues, and competition from low-cost producers. …”
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Forecasting shipbuilding demand using shipping market modeling: A case study of LNGC by Seung Woo Han, Dong Hoon Kwak, Geon-woong Byeon, Jong Hun Woo

“…The prediction results of the model were compared with seven other time series forecasting models, demonstrating its validity. Finally, scenario analyses evaluated the impact of changes in cargo transport demand, shipyard supply capacity, and carbon regulations. …”
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The Situation for Influenza in the World in Summer 2015 and the Preliminary Forecast for the Upcoming Season 2015 - 2016 by O. L. Kiselev, L. S. Karpova, M. Yu. Pelih, A. Yu. Popova

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Forecasting GIC Activity Associated With Solar Wind Shocks for the Australian Region Power Network by R. A. Marshall, E. A. Pearce, C. L. Waters, M. Terkildsen

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Machine learning with environmental predictors to forecast hospital visits and admissions: a systematic review by Levi Monteiro Martins, Elsa Coz, Delphine Maucort-Boulch, Mohand-Saïd Hacid

“…To address this problem, forecasting models are essential for resource allocation and general management to improve patient outcomes. …”
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An Advanced Early-Stage Production Forecasting Model for Middle-High Rank Coal Development by Zhiwang Yuan, Yancheng Liu, Hao Wu, Yifan Zhang, Yufei Gao, Xu Zhang

“…Current prediction methods for CBM production focus on the later stages of development, with few studies on early production forecasting. The objective of this work is to provide a reliable new idea for the early production prediction of CBM through various analyses and demonstrations. …”
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Machine learning - driven solar forecasting in dust-prone regions for sustainable energy systems by Kadhim Hayawi, Husna Maliakkal, Neethu Venugopal, Thanveer Musthafa Hussain, Gomathi Bhavani Rajagopalan

“…The models were evaluated across multiple forecasti24 hoursons (1, 6, 12, and 24 hours), demonstrating that including dust-related variables significantly enhances prediction accuracy, particularly for short-term forecasts. Temporal and seasonal analyses revealed that dust events, most frequent in the late afternoon and early spring, correlate with substantial drops in solar power output. …”
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Integrated Time Series Analysis, Clustering, and Forecasting for Energy Efficiency Optimization and Tariff Management by Anderson Jhones Passos Nascimento, Menaouar Berrehil El Kattel, Jose Antonio Fernandes de Macedo, Fernando Luiz Marcelo Antunes

“…The findings reinforce the importance of using machine learning techniques to improve tariff selection, anomaly detection, and demand forecasting, contributing to better energy management and efficiency.…”
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A state-of-the-art comparative review of load forecasting methods: Characteristics, perspectives, and applications by Mahmudul Hasan, Zannatul Mifta, Sumaiya Janefar Papiya, Paromita Roy, Pronay Dey, Nafisa Atia Salsabil, Nahid-Ur-Rahman Chowdhury, Omar Farrok

“…This review aims to provide researchers with a thorough understanding of advanced forecasting models, their capabilities, and limitations, thereby guiding future research endeavors in the domain of load forecasting.…”
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Nomograms and scoring system for forecasting overall and cancer‐specific survival of patients with prostate cancer by Yuan Zhou, Changming Lin, Lian Zhu, Rentao Zhang, Lei Cheng, Yuanyuan Chang

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