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  2. Self-Monitoring, Analysis and Reporting Technology - Wikipedia

    en.wikipedia.org/wiki/Self-Monitoring,_Analysis...

    Self-Monitoring, Analysis and Reporting Technology. Self-Monitoring, Analysis, and Reporting Technology ( S.M.A.R.T., often written as SMART) is a monitoring system included in computer hard disk drives (HDDs) and solid-state drives (SSDs). [1] Its primary function is to detect and report various indicators of drive reliability with the intent ...

  3. Special sensor microwave/imager - Wikipedia

    en.wikipedia.org/wiki/Special_Sensor_Microwave/...

    The Special Sensor Microwave/Imager (SSM/I) is a seven-channel, four-frequency, linearly polarized passive microwave radiometer system. [1] It is flown on board the United States Air Force Defense Meteorological Satellite Program (DMSP) Block 5D-2 satellites. The instrument measures surface/atmospheric microwave brightness temperatures (TBs) at ...

  4. SSMIS - Wikipedia

    en.wikipedia.org/wiki/SSMIS

    SSMIS. The Special Sensor Microwave Imager / Sounder (SSMIS) is a 24-channel, 21-frequency, linearly polarized passive microwave radiometer system. The instrument is flown on board the United States Air Force Defense Meteorological Satellite Program (DMSP) F-16, F-17, F-18 and F-19 satellites, which were launched in October 2003, November 2006 ...

  5. Semi-solid metal casting - Wikipedia

    en.wikipedia.org/wiki/Semi-solid_metal_casting

    Semi-solid metal casting ( SSM) is a near net shape variant of die casting. [1] The process is used today with non-ferrous metals, such as aluminium, copper, [2] and magnesium, but also can work with higher temperature alloys for which no currently suitable die materials are available. The process combines the advantages of casting and forging.

  6. Loss functions for classification - Wikipedia

    en.wikipedia.org/wiki/Loss_functions_for...

    e. Bayes consistent loss functions: Zero-one loss (gray), Savage loss (green), Logistic loss (orange), Exponential loss (purple), Tangent loss (brown), Square loss (blue) In machine learning and mathematical optimization, loss functions for classification are computationally feasible loss functions representing the price paid for inaccuracy of ...

  7. Log-normal distribution - Wikipedia

    en.wikipedia.org/wiki/Log-normal_distribution

    Log-normal distribution. In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = ln (X) has a normal distribution.

  8. Squarespace - Wikipedia

    en.wikipedia.org/wiki/Squarespace

    January 2004; 20 years ago. ( 2004-01) Squarespace, Inc. is an American website building and hosting company based in New York City. [2] It provides software as a service for website building and hosting, and allows users to use pre-built website templates and drag-and-drop elements to create and modify webpages.

  9. Generalized chi-squared distribution - Wikipedia

    en.wikipedia.org/wiki/Generalized_chi-squared...

    Generalized chi-squared distribution. In probability theory and statistics, the generalized chi-squared distribution (or generalized chi-square distribution) is the distribution of a quadratic form of a multinormal variable (normal vector), or a linear combination of different normal variables and squares of normal variables.