Forecasting Future Water Demands for Sustainable Development in Al …
Water demand forecasting plays an important role in the sustainable management of water resources, especially in countries facing water scarcity challenges, such as the United Arab Emirates (UAE). Al-Ain, the second-largest city within the Emirate of Abu Dhabi and the fourth largest in the UAE, faces the dual challenge of anticipated population growth …
Lithium mining: How new production technologies …
for every player along the value chain—mining companies, refiners, battery manufacturers, and automotive OEMs. Lithium demand factors Over the next decade, McKinsey forecasts continued growth of Li-ion batteries at an annual compound rate of approximately 30 percent. By 2030, EVs, along with energy-storage systems, e-bikes,
Forecasting Fine-Grained Air Quality Based on Big Data
In this paper, we forecast the reading of an air quality monitoring station over the next 48 hours, using a data-driven method that considers current meteorological data, weather forecasts, and air quality data of the station and that of other stations within a …
(PDF) MINING RISK-RELATED SENTIMENT IN CORPORATE ANNUAL …
mining risk-related sentiment in corporate annual reports and its effect on financial performance November 2020 Technological and Economic Development of Economy 26(6):1422-1443
2023 Global Mining and Metals Outlook
Insights ›. 2023 Global Mining and Metals Outlook. The mining and metals industry has played a pivotal role through history and now it must play a crucial role in a global revolution no less …
General Sales Forecast Models for Automobile Markets …
DOI: 10.1007/978-3-642-23184-1_20 Corpus ID: 11168895; General Sales Forecast Models for Automobile Markets Based on Time Series Analysis and Data Mining Techniques @inproceedings{Hlsmann2011GeneralSF, title={General Sales Forecast Models for Automobile Markets Based on Time Series Analysis and Data Mining Techniques}, …
Alabama Economic Outlook
The 2024 Alabama Economic Outlook focuses on the 2024 United States and Alabama Forecast as well as a Review of the 2023 economy. The forecast covers output and employment by sector as well as current economic …
Educational data mining: prediction of students' academic …
Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data. The …
Gold Price Performance & Data | World Gold Council
In 2023, central banks added 1,037 tonnes of gold – the second highest annual purchase in history – following a record high of 1,082 tonnes in 2022. 18 June, 2024. BACK TO TOP Receive the newest data and research in your inbox. Helping you stay informed about the gold industry's latest news and updates.
Production Forecasting in Unconventional Resources using Data Mining
Production forecasting in shale reservoirs is a challenging task because of the complex influences of geology, lithology, stimulation practices, ... Production Forecasting in Unconventional Resources using Data Mining and Time Series Analysis Siddhartha Gupta; Siddhartha Gupta Schlumberger. ... Annual Article Package – 25. $225. Buy Downloads ...
Iron Ore Mining Market: Trends, Analysis, and Forecast
Iron Ore Mining Market Analysis by Reserves, Production, Assets, Demand Drivers and Forecast to 2030. Powered by . All the vital news, analysis, and commentary curated by our industry experts. ... Iron Ore Mining Market Analysis by Active Mine, 2022 (%) ... It has an annual saleable iron ore production capacity of 40Mt of iron ore and is set to ...
A systematic review and comprehensive analysis on …
There are more than 500 of mining areas in the arid region of China, among them, around 120 are the large-sized mining, 150 are the medium-sized mining and others are the small-size mining (Wang et al., 2009a, Wang et al., 2009b, Yang et al., 2018a, Yang et al., 2018b). Because some mineral types involve state secrets, and some mining size have ...
Sentiment Analysis: An Overview from Linguistics | Annual …
Sentiment analysis is a growing field at the intersection of linguistics and computer science that attempts to automatically determine the sentiment contained in text. Sentiment can be characterized as positive or negative evaluation expressed through language. Common applications of sentiment analysis include the automatic determination of whether a review …
Indian Metals and Mining Industry Analysis
Indian Metals and Mining Industry Analysis ... (US$ 679.28 million) in annual revenue for the state and employment opportunities for locals. In July 2021, the Odisha government approved five key industrial projects worth Rs. 1.46 lakh crore (US$ 19.60 billion) that are expected to boost capacity of steel production by 27.5 million tonnes. ...
The Temporal and Frequent Pattern Mining Analysis and …
The Temporal and Frequent Pattern Mining Analysis and Machine Learning Forecasting on Mobile Sourced Urban Air Pollutants. January 2021. Read More. Author: Jianbang Du. Texas Southern University, ... The accurate annual hourly air pollution level forecasting ability is seldomly achieved. The objective of this research is to propose a ...
Modeling, prediction and analysis of new energy vehicle …
Li and Liu (2021) used Bayesian network models and combined main components analysis and correlation analysis to study the influence of government policies on consumer behaviors of NEV purchases. (c) Diffusion models. As one of the many market tools, diffusion models are mainly used to describe and forecast the NEV market sales.
Crop yield forecasting using data mining
Data mining is method of accumulating previously unseen anticipated information from vast database. Data mining assists in the analysis of future patterns and character, enabling companies to make informed decisions. For a specific region, this research provides a fast inspection of agricultural yield forecast using the Random Forest approach.
Comprehensive review of text-mining applications in finance
This technique extracts the underlying opinions within textual data and is therefore also referred to as opinion mining (Ak et al ... Stock price forecasting via sentiment analysis on twitter. ... Ogino S, Watanabe H (2011) Extracting key phrases as predictors of corporate bankruptcy: empirical analysis of annual reports by text mining. J ...
Artificial intelligence-based solutions for climate change: a …
Climate change is a major threat already causing system damage to urban and natural systems, and inducing global economic losses of over $500 billion. These issues may be partly solved by artificial intelligence because artificial intelligence integrates internet resources to make prompt suggestions based on accurate climate change predictions. Here we review …
The Big Picture: 2023 Outlook for Metals and Mining
Mergers and acquisitions activity in the metals and mining sector has been robust to date in 2022, capitalizing on high commodities prices. The souring macroeconomic …
Copper Mining Market Analysis by Reserves, & Forecast to …
Copper Mining Market Analysis by Reserves, Production, Assets, Demand Drivers and Forecast to 2030. Powered by . All the vital news, analysis, and commentary curated by our industry experts. $995. Buy Report View Sample. Published: September 15, 2023 Report Code: GDMMGCU007MR-ST. ... Copper Mining Market Analysis by Development Projects, …
A forecast on future raw material demand and recycling …
Assuming an EV LIB average lifetime of 10 years (Keil et al., 2015; Englberger et al., 2019; Fischhaber et al., 2016), a recycling potential for the year 2040 can be estimated. Note that this recycling potential only corresponds to the mass of materials included in end-of-life batteries and does not consider recycling efficiencies which will be ...
An open database on global coal and metal mine production
Our open database on global coal and metal mine production 12 covers worldwide mining activities of metal ores and coal, on an individual mine level. It comprises 1171 mines, …
Global mining footprint mapped from high-resolution …
Global mine areas and mine sites. 74,548 mine area polygons are reported in the present study, with global coverage and example delineated areas illustrated in Fig. 1.A total estimated mine area ...
Mining Equipment Market Size, Share & Trends …
Mining Equipment Market Size & Trends. The global mining equipment market size was estimated at USD 141.31 billion in 2023 and is expected to expand at a compounded annual growth rate (CAGR) of 5.2% from 2023 to …
Gross Domestic Product: Natural Resources and Mining (11, …
Graph and download economic data for Gross Domestic Product: Natural Resources and Mining (11, 21) in Alabama (ALNATRESMINNGSP) from 1997 to 2023 about …
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 model. Machine ...
Mining Equipment Market Size, Share, Trends, Forecast …
The Asia Pacific dominated the mining equipment market with a share of 30.90% in 2020. Based on our analysis, the global mining equipment market exhibited a lower growth of -2.4% in 2020 as compared to the average year-on-year growth during 2017-2019.
(PDF) Analysis and Forecast of Mining Fatalities in
Analysis and Forecast of Mining Fatalities in Cherat Coal Field, Pakistan. Kausar Sultan Shah 1*, Sajid Khan 2, ... al., 2019, Jiskani et al. 2020, Shah et al. 2 020). The .
Predictive analytics: Transforming data into future …
Predictive analytics can help your organization forecast future outcomes based on historical data and analytics techniques such as machine learning. ... growing at a compound annual growth rate ...