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Analyses and Forecasting of Smart Grid Technological Dynamics
Published 2017-07-01“…Purpose: this paper analyzes and forecasts medium- to long-term dynamics of Smart Grid technology developments considering both patent activity and socio-economic (demand-side issues and requirements of economy and power system) factors. …”
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Models for analyzing and forecasting share prices on the stock exchange
Published 2024-10-01Get full text
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ANALYSING AND FORECASTING COMPETITIVENESS: THE CASE OF THE TURKISH COTTON INDUSTRY
Published 2023-01-01“…The primary goals of this research are to examine the cotton production and trade in which Türkiye plays a significant role in global production; to analyse international competitiveness; and to forecast the next ten years using data from 1961 to 2020. …”
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Innovation in Salty Tide Analyzing and Assessing Method and Forecasting Technology
Published 2007-01-01Get full text
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Forecasting: Analyze Online and Offline Learning Mode with Machine Learning Algorithms
Published 2023-02-01“…The result of this study is the prediction of a more effective learning mode used, as decision support carried out by the forecasting method, comparing the Naïve Bayes and Decision Tree algorithm in getting the best accuracy value, by analyzing the learning mode offline to online.…”
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Analyzing and Forecasting Vessel Traffic Through the Panama Canal: A Comparative Study
Published 2025-07-01Get full text
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ANALYZING THE RESULTS OF VERIFICATION OF SHORT-TERM FORECASTS OF FIGURES OF ACADEMIC RESEARCH AND INNOVATION SPHERE IN RUSSIA
Published 2017-09-01“…The article for the first time raised and solved the task of analyzing dynamic assessment of accuracy and quality of retro-forecast parameters on the data for 2012, 2013 and 2014. …”
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Analysing EU Countries’ Digital Progress Towards Sustainable Development Goals
Published 2023-11-01“…The article analyses the level of digitalization in the European Union (EU) and correlates the results with the Sustainable Development Goals formulated by the United Nations. …”
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.
Published 2025-01-01“…<h4>Methods</h4>Data from the 1993-94 to 2017-18 Bangladesh Demographic and Health Survey (BDHS) was analyzed using advanced machine learning algorithms. …”
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Analyzing and Forecasting Drought Using the Standardized Precipitation Index (SPI) in Cities of Golestan Province
Published 2023-11-01“…Drought refers to the reduction in water availability over a specific period and area. This study analyzes drought fluctuations during the period 1971 to 2019 and forecasts its status for 2019 to 2044 across various cities in Iran.The SPI was calculated at different time scales (1, 3, 6, 12 months). …”
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Analyzing Instagram Engagement to Forecast Domestic Tourist Trips in Lake Toba and North Sumatra
Published 2024-12-01Get full text
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Analyzing GHG emission forecasting in Korea's semiconductor and display industries using grey model
Published 2025-06-01Get full text
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Analysing the potential of ChatGPT to support plant disease risk forecasting systems
Published 2025-03-01“…This study explores the potential of two versions of the ChatGPT large language model (GPT-3.5 Turbo and GPT-4) in supporting plant disease risk forecasting through the translation of model-based predictions into advisory messages. …”
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ANALYZING SOCIAL MEDIA SENTIMENT TOWARD SPECIFIC COMMODITIES FOR FORECASTING PRICE MOVEMENTS IN COMMODITY MARKETS
Published 2025-01-01“…This study adopts a systematic literature review to analyze social media sentiment towards specific commodities to enhance the accuracy of price movement forecasts in commodity markets. …”
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Analyzing and Forecasting E-Commerce Adoption Drivers Among SMEs: A Machine Learning Approach
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Analyses of burned area of forest by adaptive neuro-fuzzy approach
Published 2019-03-01“…In this investigation the burned area of forest was analyzed by computational intelligence approach. The main goal was to analyze the influence of eight inputs on the burned area of forest. …”
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Analyzing Taiwanese Traffic Patterns on Consecutive Holidays Through Forecast Reconciliation and Prediction-Based Anomaly Detection Techniques
Published 2025-01-01“…Being based on OLS, it is efficient and permits avoiding the computational burden of more complex methods. Analyses of Taiwan’s consecutive holidays in 2019, 2020, and 2021 (73 days) showed strong variations in anomalies across different directions and highways. …”
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Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan
Published 2025-01-01Subjects: Get full text
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