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Forecast. Download. The Gross Domestic Product (GDP) in Liberia expanded 4.70 percent in the fourth quarter of 2023 over the same quarter of the previous year. GDP Annual Growth Rate in Liberia averaged 2.71 percent from 1961 until 2023, reaching an all time high of 106.28 percent in 1997 and a record low of -51.03 percent in 1990. source ...
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This paper studies online forums hotspot detection and forecast using sentiment analysis and text mining approaches. First, we create an algorithm to automatically analyze the emotional polarity of a text and to obtain a value for each piece of text. ... Users are able to forecast the hotspot forum distribution and its natural …
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Lee et al. (2009) used text mining to extract keyword vectors from patent documents and applied principal component analysis to select the keyword vectors to construct a patent map. The researchers, from the patent map, identified blank areas or technology vacancies, which are tested against a few criteria for verification [ 53 ].
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With the growing trend of data analytics, a variety of machine-learning algorithms have been utilized in forecasting the production of unconventional reservoirs (Pan et al., 2020;Schuetter et al ...
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3. Preparatory stages to text mining. A text mining process typically consists of four stages: text preprocessing, text transformation, the application of text mining techniques and the interpretation and evaluation of the obtained results. In what follows, the first two preparatory stages are discussed in more detail.
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Table 1 provides a synopsis of all the steps involved in text mining 10-K reports. Namely, retrieving the 10-Ks, parsing the text to remove elements that will impede analysis before re-encoding, creating counts for key measures and linking 10-Ks to dependent measures. We outline each of these steps in turn. Table 1.
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But a 2022 analysis by the McKinsey Battery Insights team projects that the entire lithium-ion (Li-ion) battery chain, from mining through recycling, could grow by over 30 percent annually from 2022 to 2030, when it would reach a value of more than $400 billion and a market size of 4.7 TWh. 1 These estimates are based on recent data for Li …
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Comprehensive analysis of the mining accident forecasting and risk assessment methodologies: Case study – Stanterg Mine June 2024 Mining of Mineral Deposits 18(2):11-17
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Get a real-time Gryphon Digital Mining, Inc. (GRYP) stock price quote with breaking news, financials, statistics, charts and more. ... Stock Analysis Pro. Watchlist. Collapse. Gryphon Digital Mining, Inc. (GRYP) ... Gryphon Digital Mining Announces Participation in 36th Annual Roth Conference. LAS VEGAS, NV / ACCESSWIRE / …
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Emerging risk is forecasted by using he average of life weather index and health weather index that is re-calculated. Figure 4 shows the emerging risk forecast process using mining engine. Emerging risk index uses the correlation of index and the weather index association rule and forecast.
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The annual forecasting process is used to consider many ... Data pre-processing is the most important part of the data analysis process. The reason ... J. Agrawal et al. 2013) Data mining (DM) ...
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This leads to the construction of three separate data sets corresponding to the US-101 highway, 4 pm I-80 highway, and 5 pm I-80 highway. Supplementary Figures 1 and 2 demonstrate the resulting ...
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A probabilistic forecast takes the form of a predictive probability distribution over future quantities or events of interest. Probabilistic forecasting aims to maximize the sharpness of the predictive distributions, subject to calibration, on the basis of the available information set. We formalize and study notions of calibration in a prediction space setting. In …
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1. Introduction. Ecological restoration of mining areas refers to the restoration of ecological problems such as geological hazards, land damage and vegetation damage caused by mining activities by relying on natural forces or through artificial intervention, so as to stabilize the geological environment, reclaim the damaged land, and restore and …
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Keywords—Mining, Minerals, Statistical analysis, Time se-ries, Prediction. I. INTRODUCTION Peruvian mining has played a fundamental role in the country's economy, contributing significantly to its growth and development [17]. In this project, we focus on the analysis and optimization of the Peruvian mining industry
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Using remote monitoring instrument input features, the machine-learning model can predict precipitation. Evaluation of machine learning regression methods is based on the degree of agreement between predicted and observed values. The RMSE, R 2, and MAE statistical measures check on the precision of a prediction or forecasting …
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Uranium Mining Market Report Overview. Uranium production was estimated to be 54kt in 2023. Uranium production is expected to grow marginally at a CAGR of more than 4% from 2024 to 2030. The following are some of the key highlights of the Uranium mining market: Kazatomprom was the leading Uranium mining company with …
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The average sales price of thermal coal increased by 33.7% from 2021 to $34.57 per short ton. The average sales price of metallurgical coal increased 72.9% from 2021 to $262.72 per short ton. Total U.S. coal stocks in 2022 ended the year at 114.3 MMst, 1.2% lower than at the same time in 2021.
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Since its first publication in 2011, the IEA's annual Coal Report has served as the global benchmark for the medium-term forecast of coal supply, demand and trade. Its analysis also covers costs, prices and mining projects at regional and country level by coal grade. Given coal's impact on energy supply and CO 2 emissions, Coal 2023 is ...
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Introduction. Forecasting electricity consumption in high energy consuming industries requires advanced intelligent tools such as ANN. In industry, electricity is used both in the building components for cooling, heating and lighting, which varies according to the workforce increase, building extension and weather condition, and in the operational …
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This review summarizes several commonly used data mining methods in financial data analysis. The purpose is to make it easier for researchers in the financial field to use data mining methods and to expand the application scenarios of it used by researchers in the computer field. ... Pinheiro CA, et al. (2011) Forecasting models for …
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This article presents a new model for forecasting the sugarcane yield that substantially reduces current rates of assessment errors, providing a more reliable pre-harvest assessment tool for sugarcane production. This model, called the Wondercane model, integrates various environmental data obtained from sugar mill surveys and …
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Ma et al. (2009) constructed a prediction model of China's NEV market share based on a logit regression analysis between NEV market share and customer utility in Europe, the USA and Japan. Bi et al. (2018) proposed a combined model for charging time prediction based on regression and time-series methods according to the actual data of …
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That's compared to a significant 2023 decline of 6.4 percent in the US; a recovery of 3.1 percent is forecast in the country for 2024. On a global scale, demand for refined lead metal is set to ...
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Background The aim of this study was to evaluate the most effective combination of autoregressive integrated moving average (ARIMA), a time series model, and association rule mining (ARM) techniques to identify meaningful prognostic factors and predict the number of cases for efficient COVID-19 crisis management. Methods The …
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Quarterly and annual reports of companies are authorized credible data sources. ... and financial reports. This data has been determined to be an appropriate predictor for financial market forecasting (Li, Wang, et al., 2014, Li, Xie, et al., 2014, Liu et al., 2015, Zhang et al., 2011). ... Sentiment analysis, or opinion mining, refers to a set ...
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Accurate renewable resource (RES) and load prediction play key roles in the power grid planning schemes, effective dispatch, and stable operation of power systems. The proportions of wind and solar energy continue to increase, leading to wind and light abandonment. Thus, the absorption of wind and photovoltaic power is particularly …
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Rainfall is one of the most important meteorological phenomena that impacts many fields, including agriculture, energy, water resources management, and mining, among others. While machine learning (ML) models have shown great potential in rainfall forecasting as they perform well and sometimes better than some physical models, the …
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A step down transformer inside the rural warehouse in Foley, Ala. The transformer provides the power necessary to run 32 bitcoin mining devices on a constant, 24-hour cycle. (John Sharp/jsharp@al ...
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Sentiment analysis of online documents such as news articles, blogs and microblogs has received increasing attention in recent years. In this article, we propose an efficient algorithm and three pruning strategies to automatically build a word-level emotional dictionary for social emotion detection. In the dictionary, each word is associated with the …
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The Pingshuo Mining Area (111° 52′–112° 41′ E, 39° 21′–39° 58′ N) is located in Shuozhou City, Shanxi Province, China, with an area of 392 km 2. This mining area is the major coal production area in China with an annual production capacity of 100 million tons after 2010.
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Unconventional hydrocarbon resources, including shale hydrocarbon, tight hydrocarbon and coalbed methane, have become an increasingly essential part of global oil and gas supply during the past decades. Tight Oil and Gas projects, especially in Canada, exhibit a number of unique features, such as large onshore geographical area, variable …
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National Weather Maps. Surface Analysis. Highs, lows, fronts, troughs, outflow boundaries, squall lines, drylines for much of North America, the Western Atlantic and Eastern Pacific oceans, and the Gulf of Mexico.
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Quantity of annual research on AI in T&H. 4.1.1. ... known for its capacity to automatically extract relevant demand indicators and its accuracy in forecasting issues (Law et al., ... including sentiment analysis (or opinion mining), text analysis (or text mining), content analysis, social network analysis, trend analysis, spatial analysis, ...
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2.2. Experimental data mining. Data mining is based on interdisciplinary intersection and fusion, covering intelligent algorithms, machine learning models, mathematical statistics and other fields. The intrinsic laws in the data set can be mined through the analysis of massive data, fuzzy data and random data.
DetailsThe analysis of these data requires text mining methods. Text mining is a large data analysis used in the analysis of semi-structural and non-structural data. ... Mining the Annual Reports for ...
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A prediction model for the fuel consumption of mining trucks was proposed based on multi-dimensional features and XGBoost. ... HAN F et al. Analysis and evaluation of truck fuel consumption in Pingshuo east open-pit mine. ... PSO and BP neural network application in open pit mine truck fuel consumption forecast. J Liaon Tech Univ (Natural ...
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Between 2003 and 2011, China's mining economy was in a high-speed development phase, with the output value increasing from 0.74 trillion yuan to 5.86 trillion yuan and an average annual growth rate of 29.6%, but since 2012, China's MI has been in a "transition period" (Chen et al., 2015), with an average annual growth rate of 3.5% ...
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The annual range of IPWV helps to understand the local and temporal behavior of IPWV at the station (Table 4 and Fig. 5). Yadav et al. (2021) reported that the annual mean IPWV values vary in the range of 0–50 mm depending upon the region and prevailing weather system affected throughout the year. Larger mean IPWVs occur in the …
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PE series jaw crusher is usually used as primary crusher in quarry production lines, mineral ore crushing plants and powder making plants.
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