Assessing rainfall prediction models: Exploring the …
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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Global demand for rare earth resources and strategies for green mining
Rare earths are actually not rare to exhibit a broad geographical distribution. The average levels of REEs in the earth's crust range from 150 to 220 ppm (ppm) which exceed the level of many other metals mined for industrial use (e.g. copper: 55 ppm and zinc: 70 ppm) (Long et al., 2010).Nonetheless, establishing and maintaining a reliable …
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Detecting the financial statement fraud: The analysis of …
Data mining plays an important role in financial fraud detection, as it is often applied to extract and uncover the hidden truths behind the very large quantities of data [29]. Lin et al. [23] conducted an experts' questionnaire survey to evaluate the fraud factors using Lawshe's approach.
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Uranium Mining Market Analysis: Reserves, Production, …
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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State of the art in financial statement fraud detection: A …
Asset misappropriation is the most frequent (86 %) and least expensive (with a median loss of $100,000) of these, whereas financial statement fraud is the least frequent (10 %) and most expensive (with a median loss of $954,000). In addition, fraud and misappropriation typically cost businesses 5 % of their annual revenue ( ACFE, 2020 ).
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Comprehensive analysis of the mining accident forecasting …
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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Data Mining: A Novel Strategy for Production Forecast in …
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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Lithium-ion battery demand forecast for 2030 | McKinsey
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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Coal 2023 – Analysis
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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Gryphon Digital Mining, Inc. (GRYP)
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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A systematic review and comprehensive analysis on …
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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The application of text mining in accounting
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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A comparative online sales forecasting analysis: Data mining …
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.
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National Forecast Maps
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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PERU MINING: ANALYSIS AND FORECAST OF MINING …
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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Frontiers | Economic Impacts and Challenges of Chinese Mining …
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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Forecasting the development trend of new energy vehicles …
Ala et al. (2021) investigated the development status of fuel cell vehicles in Portugal by using scenario evaluation and regionalization analysis, and analyzed the expected prospect. Rietmann and HüglerLieven (2020) made a long-term forecast of EV inventories in 26 countries on five continents through the Logistic growth model, and …
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Emerging risk forecast system using associative index mining analysis
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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Forecasting COVID-19 cases using time series modeling and …
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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Lithium Market Size, Share & Growth Analysis Report, 2030
Lithium Market Size & Trends . The global lithium market size was estimated at USD 31.75 billion in 2023 and is expected to grow at a CAGR of 17.7% from 2024 to 2030. Vehicle electrification is projected to attract a significant volume of lithium-ion batteries, which is anticipated to drive market growth over the forecast period.The automotive …
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Lead Price Forecast: Top Trends That Will Affect Lead in 2024
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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A review of data mining methods in financial markets
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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Open-pit mine truck fuel consumption pattern and application based …
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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News-based intelligent prediction of financial markets using …
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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Annual Coal Reports
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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Modeling, prediction and analysis of new energy vehicle …
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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(PDF) Text Mining in Financial Information
The 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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An Alabama partnership leads to a growing bitcoin mining operation
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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Liberia GDP Annual Growth Rate
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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Text Mining for Patent Analysis to Forecast Emerging …
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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