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  2. Codan - Wikipedia

    en.wikipedia.org/wiki/Codan

    They also produce metal detectors for the consumer market. [11] The company has manufacturing, distribution and customer service operations in Adelaide (Australia), Cork (Ireland) and Naperville (US), and is an ISO 9001:2000 Quality Endorsed Company. Minelab was established in 1985 and was acquired by Codan in March 2008. [12]

  3. Product recall - Wikipedia

    en.wikipedia.org/wiki/Product_recall

    A product recall is a request from a manufacturer to return a product after the discovery of safety issues or product defects that might endanger the consumer or put the maker or seller at risk of legal action. Product recalls are one of a number of corrective actions that can be taken for products that are deemed to be unsafe.

  4. Flame ionization detector - Wikipedia

    en.wikipedia.org/wiki/Flame_ionization_detector

    A flame ionization detector (FID) is a scientific instrument that measures analytes in a gas stream. It is frequently used as a detector in gas chromatography . The measurement of ions per unit time makes this a mass sensitive instrument. [ 1 ]

  5. Hyundai Motor to replace battery systems in $900 million ...

    www.aol.com/news/hyundai-motor-replace-battery...

    Hyundai Motor Co will replace battery systems in some 82,000 electric vehicles globally due to fire risks - a costly $900 million recall that lays bare the thorny issue of how car and battery ...

  6. Category:Detectors - Wikipedia

    en.wikipedia.org/wiki/Category:Detectors

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  7. Recalled infant formula tests positive for bacteria that can ...

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  8. Halt in U.S. aid cripples global efforts to relieve hunger - AOL

    www.aol.com/news/halt-u-aid-cripples-global...

    Struggling to manage hunger crises sweeping the developing world even before U.S. President Donald Trump returned to the White House, the international famine monitoring and relief system has ...

  9. Precision and recall - Wikipedia

    en.wikipedia.org/wiki/Precision_and_recall

    In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).