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  • AIME
    Philadelphia Paper - Discussion on Steel Rails. Philadelphia Meeting (6ae6fdb7-0724-4085-b47f-241b6cf46caf)

    By T. Egleston

    circumstances, would prefer the steel with which they are now familiar, to a specimen that Mr. Sandberg has described as having broken into seventeen pieces under the wheels. After blowing such low ma

    Jan 1, 1881

  • DFI
    Piling Framed Tie down Concrete Retaining Wall

    By Saieb Haddad, Henry Pate

    "Building retaining walls in an urban area is becoming more difficult due to right-of-way restraints. Using standard concrete cantilever walls requires a construction easement behind the walls for ins

    Jan 1, 2007

  • DFI
    Piling Framed Tie Down Concrete Retaining Wall (4e2f4102-889f-44e0-a228-adb5cc7c450f)

    By Saieb Haddad, Henry Pate

    "Building retaining walls in an urban area is becoming more diffi cult due to right-of-way restraints. Using standard concrete cantilever walls requires a construction easement behind the walls for in

    Jan 1, 2007

  • SME
    Pit And Quarry Licencing In Southern Ontario

    By Ronald T. Cosburn

    The Province of Ontario covers an area of some 400 thousand square miles, however the subject I will be talking about today, the licencing of pits and quarries in southern Ontario, refers to about one

    Jan 1, 1982

  • CIM
    Pit Horses

    By D. A. McIsaac

    In these days, when mass production seems to be the watchword of all industrial companies, nothing is left undone to attain this end. Transportation, where necessary, becomes a question of very great

    Jan 1, 1930

  • CIM
    Pit Horses (93fe0827-fdf1-43e7-be20-0786197d6494)

    By D. A. McIsaac

    In these days, when mass production seems to be the watchword of all industrial companies, nothing is left undone to attain this end. Transportation, where necessary, becomes a question of very great

    Jan 1, 1930

  • SME
    Plant-Site Evaluations Of The OPSA System For On-Line Particle Size Measurement From Moving Belt Conveyors (a2c80e29-57fc-42d5-930c-7b75b81ed0dc)

    By C. L. Lin

    The image-based On-line Particle Size Analyzer (OPSA) system has been developed at the University of Utah to measure particle size distributions under plant conditions where overlapped and segregated

    Jan 1, 1999

  • TMS
    Platinum-Group Elements in the Tonsina Ultramafic Complex, Southern Alaska

    By J. Y. Foley

    Platinum-group elements (PGE) are preferentially associated with chromian spinels, including high-iron chromite, magnesian-chromian hercynite, and chromian magnetite in clinopyroxene-rich upper strati

    Jan 1, 1987

  • SME
    Poirier Site Reclamation Program

    By Maxine Wiber, Ross D. Gallinger, Brain A. Lewis

    Poirier was an underground copper and zinc mine located in Northern Quebec that operated between 1965 and 1975. There are 5 million tonnes of acid-generating tailings, which have contributed acidi

    Jan 1, 2000

  • SME
    Port Inland Operations

    By J. E. Brownhill

    This paper does not deal with the typical start-up issues of equipment, production capacity or work force. This is a description of the challenges faced and the changes made by the project team to bri

    Jan 1, 1994

  • CIM
    Post-War Problems of the Young Engineer

    By Geo. E. Cole

    A GREAT deal of time and energy is now being devoted to the study of post-war reconstruction and rehabilitation, in spite of the fact that as yet we have not won the war in which we are presently enga

    Jan 1, 1943

  • DFI
  • AIME
    Preconcentration Of Native Copper And Porphyry Copper Ores By Electronic Sorting

    By R. W. Nash, A. E. Schwaneke, V. R. Miller

    The Bureau of Mines developed a detector for controlling sorting devices to separate the copper-bearing fragments from the barren portion of Michigan native copper and western prophyry copper ores. A

    Jan 8, 1978

  • AUSIMM
    Prediction of Acid Gas Generation in the Petroleum Industry

    By M R. Asef

    Although generation of environmentally harmful hydrogen sulfide is considered to be related to sour gas fields, sweet gas reservoirs and waste fluids, travertine springs and geothermal fields may also

    Sep 26, 2011

  • AUSIMM
    Prediction of Burden at the Sungun Copper Mine by Artificial Neural Network

    By H Khoshrou, A Siamaki

    Blast designs can have productive and non-productive impacts on downstream stages, mine productivity and operating costs. On the other hand, ground vibration, fragmentation, and back break caused by b

    Sep 26, 2011

  • SME
    Prediction of Froth Flotation Performance Using Convolutional Neural Networks - Mining, Metallurgy & Exploration (2023)

    By A. Jahedsaravani, M. Massinaei, M. Zarie

    Deep learning is a subset of machine learning that uses artificial neural networks for extracting high-level features from image data. In the present study, a soft sensor is proposed for the predictio

    May 5, 2023

  • SME
    Prediction of Human Core Temperature Rise and Moisture Loss in Coal Mine Refuge Alternatives

    By M. Hepokoski, M. Klein, L. Yan

    "NIOSH research has shown that heat/humidity buildup is a major concern within coal mine refuge alternatives (RAs). These high temperature and humidity levels inside an RA may expose occupants to heat

    Jan 1, 2017

  • SME
    Prediction of human core temperature rise and moisture loss in refuge alternatives for underground coal mines - SME Transactions 2017

    By M. Hepokoski, M. Klein, D. S. Yantek, L. Yan

    Research by the U.S. National Institute for Occupational Safety and Health (NIOSH) has shown that heat/humidity buildup is a major concern within coal mine refuge alternatives. High temperature and hu

    Jan 1, 2017

  • SME
    Prediction of human core temperature rise and moisture loss in refuge alternatives for underground coal mines - SME Transactions 2018

    By M. Hepokoski, M. Klein, D. S. Yantek, L. Yan

    Research by the U.S. National Institute for Occupational Safety and Health (NIOSH) has shown that heat/humidity buildup is a major concern within coal mine refuge alternatives. High temperature and hu

    Jan 1, 2018

  • DFI
    Prediction Of Ultimate Pile Bearing Capacity Using Artificial Neural Networks

    By Vahid Tajdar

    The behavior similarity between pile and cone penetration test, has guided the researchers to use the CPT results in prediction of piles bearing capacity. In this article, artificial neural networks h

    Jan 1, 2006