Opencast mining overview - Download as a PDF or view online for free. Opencast mining overview - Download as a PDF or view online for free ... DESIGN OF RAMP & HAUL ROADS SIZE: Width of any huge machine …
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5. SURFACE MINING • Surface mining is done by removing (stripping) surface vegetation, dirt, and, if necessary, layers of bedrock in order to reach buried ore deposits (or) surface mining is the process of extraction of minerals by removal of overburden . • Overburden is the rock or waste material which is lying on the mineral to be owned . • Surface mining is also …
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10. COMMON USED MILLING MACHINES KNEE-TYPE: Knee-type mills are characterized by a vertically adjustable worktable resting on a saddle which is supported by a knee. The knee is a massive casting that rides vertically on the milling machine column and can be clamped rigidly to the column in a position where the milling head and milling machine …
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Computerization has significantly improved mining engineering by increasing efficiency and safety. Surveying machines connected to laptops provide 3D views of geology, helping miners better understand subsurface …
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This is a key tenet of machine learning ethics: transparency. 16. OLS Regression: Model development and evaluation 17. As a responsible machine learning practitioner, Dr. Delta should explain and justify the algorithm she used, as well as the limits of the conclusions she was able to draw. Without transparency, there can't be good machine ...
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2. What's it all about? Data vs information Data mining and machine learning Structural descriptions Rules: classification and association Decision trees Datasets Weather, contact lens, CPU performance, labor negotiation data, soybean classification Fielded applications Loan applications, screening images, load forecasting, machine fault diagnosis, …
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6. Hierarchical Clustering Algorithms • Two main types of hierarchical clustering – Agglomerative: • Start with the points as individual clusters • At each step, merge the closest pair of clusters until only one cluster (or k clusters) left – Divisive: • Start with one, all-inclusive cluster • At each step, split a cluster until each cluster contains a point (or there are k ...
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4. Machine learning and our focus Like human learning from past experiences. A computer does not have "experiences". A computer system learns from data, which represent some "past experiences" of an application domain. Our focus: learn a target function that can be used to predict the values of a discrete class attribute, e.g., approve or not-approved, and high …
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Mining Equipment PowerPoint Presentations you can use in your safety training programs. ... Safely Climbing Up and Down on Machinery Photos illustrate the proper way of getting on and off equipment. 20 slides: The "NO" Zone Contains images of various pieces of equipment displaying the "NO" Zone, or those areas which are obscured to the operator ...
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3. The name machine learning was coined in 1959 by Arthur Tom M. Mitchell provided a widely quoted, more formal definition of the algorithms studied in the machine learning field: A computer program is said to …
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A salt pan worker in a salt evaporation pond in Tamil Nadu, India Subsurface Mining: Room-and-Pillar Mining "Rooms" are cut into seams of coal (or salt or iron) Pillars of ore are left standing to support the ceiling When all possible ore is extracted from the rooms – often the pillars are then removed and the land above collapses ...
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7. DATA MINING ILOs Upon completion of the course, the students will: be able to handle a problem in a wide range of business cases and scientific disciplines, assess whether and how the problem is solvable by data mining, obtain and process the necessary data, perform exploratory analysis, create visualizations, full report, and executive summary for decision …
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Uranium is a naturally occurring radioactive metal that is mined from the earth's crust. The nuclear fuel cycle involves mining uranium ore, milling it into yellowcake, converting yellowcake into uranium hexafluoride gas, enriching the gas to increase the percentage of fissile uranium-235 isotope, fabricating enriched uranium into fuel rods, using the rods in nuclear …
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10. Gravity haulage This is a haulage without any motor or external sources of power and consists of a cast iron pulley, 1.3 m – 2 m diameter, having a brake path on one side and a strap brake. It is located at the top of an …
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10. 10 STOCK BINS AND PROPORTIONING SECTION A. TO STOCK RAW MATERIALS : There are three similar series of over head bunker and conveyors to feed three sinter machines at a time. Each series contains 23 bunkers . Materials are stored in the bunkers in following order : BUNKER No. TOTAL BUNKER MATERIAL 1 – 6 06 Iron ore fines 7 – 13 07 …
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13. GOAL & it's Keywords • The goal of the SVM algorithm is to create the best line or decision boundary that can segregate n-dimensional space into classes so that we can easily put the new data point in the correct category in the future. This best decision boundary is called a hyperplane. • Support vectors are data points that are closer to the hyperplane and …
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23. Cons : It doesn't perform well, when we have large data set because the required training time is higher It also doesn't perform very well, when the data set has more noise i.e. target classes are overlapping SVM doesn't directly provide probability estimates, these are calculated using an expensive five-fold cross-validation.
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AI-generated Abstract. The presentation explores the intricate relationship between mining activities and environmental sustainability. It discusses the essential role mining plays in providing critical resources such as electricity, steel, and cement, yet emphasizes the significant negative impacts these activities impose on the environment, including physical disturbances, air and …
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