Machine learning applications in minerals processing: A review
Machine vision is the application of machine learning techniques to images and video, rather than numerical data from plant sensors. Image data presents a …
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Application of Artificial Intelligence and Machine Learning in Mining …
Rushikesh Battulwar, Ph.D. Dr. Rushikesh Battulwar is a data engineer at Rio Tinto. He completed his Ph.D. and M.S. degrees in mining engineering from University of Nevada Reno (UNR) with a research focus on the application of aerial photogrammetry and computer vision in discontinuity characterisation from rock mass surface models.
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Mining Machines Selection Guide: Types, Features, …
mineral processing equipment. nodulizers. pelletizers. trams. Other types of mining machines are also available. Selecting mining machines requires an analysis of …
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(PDF) Applications of Machine Learning and …
Applications of Machine Learning and Data Mining in SpeedWise® Drilling Analytics: A Case Study Zheren Ma, Ali Karimi Vajargah, Hanna Lee, Hamed Darabi, and David Castineira, Quantum …
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A Real-World Application of Process Mining for Data …
A Real-World Application of Process Mining for Data-Driven Analysis of Multi-Level Interlinked Manufacturing Processes ... manufacturing process comprises interlinked events at the superordinate business process level and at the subordinate machine level, making its analysis based on PM challenging. ... Kotzab et al. (Ed.) â€" …
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A review of machine learning applications for underground …
Importantly, machine learning has been applied prosperously in recent studies to predict hanging wall failures and mining dilution in underground mining operations (Jang and Topal, 2013; Jang et al., 2016; Chongchong et al., 2018; Mottahedi et al., 2018). Affirmative results reported from these studies suggest that machine learning …
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Applications of machine learning in metal-organic …
Applications of machine learning methods in metal–organic framework research are discussed. ... researchers have started to use various data mining techniques to obtain information from numerous existing text publications, which can be an ... In a pioneering study be He et al. [151], application of ML methods for the prediction of …
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7 Cutting-Edge Applications of AI in Mining for 2024
Application 2: Automated Drillers and Intelligent Drilling Systems. For any mining operation, drilling and blasting are two indispensable processes that take place daily. Unfortunately, they also happen to be some of the most dangerous. It typically involves an iterative process of drillers creating holes in hard surfaces.
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Application of machine learning in atmospheric pollution …
Application of machine learning in atmospheric pollution research: A state-of-art review. Author links open overlay panel Zezhi Peng a, Bin Zhang a, ... (Fang et al., 2016). However, the application of ground-based observations in large-scale monitoring of air pollution is limited by the sparse and uneven distribution of air quality monitoring ...
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Applications of Artificial Intelligence and Machine learning …
There are tremendous applications of ML developed in smart cities. Few of the major applications are stated by (Ullah et al., 2020) which include intelligent transportation systems (ITSs), cyber-security, smart grids (SGs), UAVs, 5G, and B5G communications, and smart health care systems in a smart city (Chaudhry et al., 2022; …
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Application of Machine Learning and Data Mining in
the application of machine learning and data mining in manufact uring has carried on the overview of the system, and introduces the research status both at home and abroad, and specify the ...
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Financial applications of machine learning: A literature review
Emerson, Kennedy, O'Shea, & O'Brien (2019) review 55 articles on portfolio construction, return forecasting, and risk modelling; Nosratabadi et al. (2019) review articles on the stock market, cryptocurrency, e-commerce, marketing, and corporate bankruptcy prediction; using Machine learning. Rundo et al., 2019, Cavalcante et al., 2016 cover …
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Applications of artificial intelligence/machine learning to …
Recent advances in material science and engineering with the aid of modern computational algorithms and devices [1] have greatly pushed the need of advanced materials that can be adopted to increasingly complex engineering applications and adapted to multiple functional and safety requirements.Among various types of …
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Data Mining and Machine Learning Applications
The book features: A review of the state-of-the-art in data mining and machine learning, A review and description of the learning methods in human-computer interaction, Implementation strategies ...
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Machine Learning and Data Mining Methods in Diabetes …
The most important step in the entire KDD process is data mining, exemplifying the application of machine learning algorithms in analyzing data. A complete definition of KDD is given by Fayyad et al. [5]: KDD is the nontrivial process identifying valid, novel, potentially useful, and ultimately understandable patterns in data.
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Sentiment analysis using Twitter data: a comparative application …
Sentiment analysis using Twitter data: a comparative application of lexicon- and machine-learning-based approach Soc Netw Anal Min. 2023;13(1):31. doi: 10.1007/s13278-023-01030-x. Epub 2023 Feb 9. Authors Yuxing Qi 1, Zahratu Shabrina 2 3 …
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Review article A review of the use of AI in the mining …
Advances in experimental geomechanics, combined with the growing collections of geologic rock data and insights from rock engineering, led to applications …
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VPI-Mlogs: A web-based machine learning solution for …
Machine learning is an important part of the data science field. In petrophysics, machine learning algorithms and applications have been widely …
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Application of machine learning and data mining in …
Penggunaan machine learning terkait dengan prediksi prestasi belajar, prediksi nilai mahasiswa (Ren et al., 2019a), prediksi kinerja mahasiswa (Wati et al., 2018), hingga memberikan rekomendasi ...
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Review on the Application of Machine Learning …
The Apriori algorithm is a typical association rule-based mining algorithm, which has applications in sequence pattern mining and protein structure prediction. Many machine learning algorithms in data …
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The application of data mining techniques in financial fraud …
Turban et al. [73] define data mining as a process that uses statistical, mathematical, ... It can be clear that classification is the most frequently used data mining application class, accounting for 61.2% of the total (30 of the 49 articles), and that outlier detection and visualization are the least common, accounting for only 2.0% each (1 ...
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Application of artificial intelligence to rock mechanics: An …
This review has shown that AI has been used in predicting the rockburst which is a major catastrophic hazard in underground constructions and mines. More details on the application of machine learning in rockburst applications can be found in Zhou et al. (2018) and Pu et al. (2019). Notwithstanding, there are other AI techniques, …
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Review Machine learning and data mining in manufacturing
Machine learning (ML) and data mining (DM) applications came to existence in this sector nearly two decades ago to solve manufacturing problems. Intelligent systems to support effective decision-making (Cheng et al., 2018, Kujawinska et al., 2018) programs to schedule simultaneous production line (Priore, Ponte, Puente, & Gómez, …
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Applications of Machine Vision in Coal Mine Fully
Yuxin Du . et al.: Preparation of Papers for IEEE Access (June 2023) VOLUME XX, 2017 3 . Table 1. Review studies related to machine vision applications in mining.
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Multi-stage mine production timetabling with optimising the …
For more discussions on the applications of machine scheduling theory to mining management, please refer to a comprehensive interdisciplinary literature review on mine supply management (Zeng et al., 2021) and recent agendas in mining equipment management (Liu et al., 2022a). In a word, there are still rare academic papers on …
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Applications of machine learning in drug discovery and …
Several successful applications of machine learning in various stages of the drug development pipeline in pharmaceutical companies have been published. ... would otherwise be inaccessible. Recent advances in natural language processing (NLP), an ML approach applied to text mining, have enabled more effective data mining to identify …
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Review of machine learning application in mine blasting
Machine learning and review of mining application. To achieve safe, smart, sustainable mining operations, researchers paid great interest in artificial intelligence (AI) and its branches (Jang and Topal 2014). AI is a technique that allows recreating human-like cognitive abilities to automate tasks and processes (Franco-Sepúlveda et al. 2019).
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Data Mining in Healthcare: Applying Strategic Intelligence …
Exploration of data mining and machine learning in public health sector. 2011–2019: Investigation of medical data mining using VOSviewer and CiteSpace software. This paper: 1995–2020: A BPNA of data mining in healthcare: performance analysis, strategic themes, thematic evolution structure, trends and future opportunities …
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Application of Artificial Intelligence and Machine Learning in …
Application of Artificial Intelligence and Machine Learning in Mining. Submission status. Closed. Submission deadline is Pending. Digitalization in the mining …
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Application of artificial intelligence to rock mechanics: An …
Mahdevari et al. (2017) predicted the stability of gate roadways in longwall mining using the ANN. Katkuri et al. (2019) used a neural network-assisted analysis for longwall gate …
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