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MCSA statement following Medium
27.10.2022The R3.4 billion allocated to Denel, the state-owned military equipment maker, is important for the mining industry because the company supplies critical chemicals needed for security and explosives used in blasting. Its stabilisation is critical for sustainable mining operations. Rebuilding infrastructure
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Machine learning applications in minerals processing: A review
01.03.2019An Automated Machine learning (AutoML) approach to regression models in minerals processing with case studies of developing industrial comminution and flotation models 2022, Minerals Engineering Show abstract The minerals industry in the era of digital transition: An energy-efficient and environmentally conscious approach 2022, Resources Policy
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It Is a Multifunctional Product. the Product Uses a 110-Volt, 750w Power Motor with No Loss of Speed or Quality, Making Operation Simple, Efficient, and Labor-saving. 1 X Polisher Machine. Flexible and Convenient: with a Detachable, Flexible 100cm Shaft, Adjustable Angle Ruler, 0.3-4mm Flexible Shaft Handle and 1.5-10mm Chunk, This Mini Table Saw
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Machines
15 Demand for automated processes in the manufacturing industry is now shifting toward flexible, human-centered systems that combine productivity and high product quality, thus combining the advantages of automated and robotic systems with the high-value-added skills of operators and craftsmen. This trend is even more crucial for small and medium-sized
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(PDF) PREDICTIVE POLICING: A Machine Learning
01.01.2019Big data analytics with the sup port of machine learning algorithms makes it possible to d eals with huge amount of data, extract hidden inter-connection, pattern and meaningful information. This
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PREDICTIVE POLICING: A Machine Learning Approach to
PREDICTIVE POLICING: A Machine Learning Approach to Predict and Control Crimes in Metropolitan Cities Jibran R. Khan, Farhan A. Siddiqui, Nadeem Mahmood, Muhammad Saeed, Qamar ul Arifeen
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Developing Machine Learning Based Predictive
07.06.2019In this work, we employ statistical analysis methods and machine learning models for predicting different types of crimes in New York City, based on 2018 crime datasets. We combine weather, and
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Minerals Commission inaugurates new mining machines
31.05.2021The Minerals Commission has commissioned five new gold processing machines to support small-scale miners to engage in responsible mining. The combo machines, which will be deployed to selected mining communities on a pilot basis, will process and recover 90 per cent gold plus, using less water and without chemicals such as mercury and cyanide.
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Report: Policing by machine
01.02.2019Download the report Policing by Machine – Predictive Policing and the Threat to Our Rights collates the results of 90 Freedom of Information requests sent to every force in the UK, laying bare the full extent of biased 'predictive policing' for the first time – and how it threatens everyone's rights and freedoms.
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The NPMF consisted of representatives of mining companies, the Minerals Council, the South African Police Service (SAPS) (various branches and its forensic science laboratory), the South African Diamond and Precious Metals Regulator, Rand Refinery and the National Prosecuting Authority.
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Machine learning for policing: a case study on arrests in Chile
Here, we explore big data technology and design a machine learning algorithm for forecasting repeated arrests. The forecasts are based on administrative data provided by the national Chilean police agencies, including a history of arrests in Santiago de Chile and personal metadata such as gender and age. Excellent algorithmic performance was
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The Truth Machines: Policing, Violence, and Scientific
26.02.2020The Truth Machines examines the emergence and use of these three scientific techniques to analyze two primary themes. First, the book questions whether existing theoretical frameworks for
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Feeding the Machine: Policing, Crime Data, Algorithms
16.08.2017This essay explains why predictive policing programs can't be fully understood without an acknowledgment of the role police have in creating its inputs. Discussions of predictive algorithms used by the police tend to assume the police are merely end users of big data. Accordingly, police departments are consumers and clients of big data -- not much different
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Machine Learning and the Police: Asking the Right Questions
14.06.2019In this, policing is like numerous other fields; machines are, for instance, used to count votes, drive cars, predict the weather, decide loan applications, and more. Predictive analytics support risk management across the field of security governance ( Hlterlein and Ostermeier, 2018 ).
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Predictive Policing Machine Learning Part II
30.11.2017Machine Learning (ML) is a type of Artificial Intelligence (AI) that provides computers with the ability to learn and make predictions. Machine Learning can be applied across several disciplines in order to make predictions. One such disciple, Predictive Policing, uses Machine Learning to predict the likelihood of crime. This talk introduces S. A. M. (Suspicious
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Machine Learning at PredPol: Risks, Biases, and Opportunities for
13.11.2018First, the company offers predictive policing through its machine learning algorithm based on three data points: crime type, crime location, and crime date/time. The algorithm functions by predicting crime in 500 square foot boxes with the number of boxes deployed in each shift calibrated to the policing resources available. Second, their
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minirals policing machine
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Sirius Minerals' Vertical Shaft Sinking Machine
05.06.2019Sirius Minerals' Vertical Shaft Sinking Machine reaches over 115 m depth at Woodsmith polyhalite mine Posted by Paul Moore on 5th June 2019 To construct the initial 120 m of the 360 m deep MTS shaft at Woodsmith
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High Policing in the Security Control Society
01.01.2007In confronting the security control paradox, it is essential to have a view of the inside workings of the policing machine. At a very fundamental level, the advent of new information technologies is driving drastic changes in the architecture of policing. The information revolution challenges a very basic premise of bureaucratic institutions—to
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FINDING MINERALS. Where to collect. The best place to find minerals is at mines. Mines are locations where industrially important rocks, minerals, and ores, as well as precious metals and gemstones are extracted from the earth. Mines can produce large amounts of specimens of certain minerals, and continue to provide specimens as long as the mine
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POLICING BY MACHINE
human v machine policing by machine research by the data justice lab noted that, in the context of this chimes with our concern that police officers will defer to avon and somerset's use of algorithms, "the onus then falls on the the machine in contexts where they should be providing human frontline staff to record or explain any decision they
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Challenging Racist Predictive Policing Algorithms under the
04.07.2019Machine learning-based predictive policing algorithms can learn to discriminate facially on the basis of race because they are exposed to and learn from data derived from the racist realities of the United States criminal justice system--a world in which Black Americans are incarcerated in state prisons at a rate that is 5.1 times the imprisonment of whites, and one of
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Minerals
23.07.2021Many opportunities and challenges exist for the application of machine learning in mineral processing. Recent research publications include data-based modelling, machine vision and fault diagnosis applications, but predominantly on simulated, laboratory scale, or (to a much lesser extent) historical industrial data.
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Machine learning for recognizing minerals from multispectral data
We then developed and evaluated a novel method for automatic mineral identification from combining measurements with two complementary spectroscopic methods using Convolutional Neural Networks (CNN) for Raman and VNIR, and cosine similarity for LIBS.
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Machine learning for policing: a case study on arrests in Chile
Excellent algorithmic performance was achieved with various supervised machine learning techniques. Still, there are many challenges regarding the design of the mathematical model, and its eventual incorporation into predictive policing will depend upon better insights into the effectiveness and ethics of preemptive strategies.
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Mining sector exports derailed as Transnet's latest woes add to the
2 Minerals Council of South Africa spokesperson Alan Seccombe said at the weekend that the biggest concern was the impact on the export volumes, which outgoing CEO Roger Baxter last month estimated
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Geoscience, multidisciplinary and Northern academia research
Determining rock sequence ages in the Canadian Cordillera to interpret significance of mineralization Determining the potential for water supply sources from unfrozen ground features (taliks) in permafrost environments Statistical analyses of surficial deposits with geochemistry to map locations of deposits of precious, critical and base metals
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