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  • Open Access

    REVIEW

    Supervision of Milling Tool Inserts using Conventional and Artificial Intelligence Approach: A Review

    Nilesh Dhobale1, Sharad Mulik2, R. Jegadeeshwaran3,*, Abhishek Patange4

    Sound & Vibration, Vol.55, No.2, pp. 87-116, 2021, DOI:10.32604/sv.2021.014224 - 21 April 2021

    Abstract Due to continuous cutting tool usage, tool supervision is essential for improving the metal cutting industry. In the metal removal process tool, supervision is carried out either by an operator or online tool supervision. Tool supervision helps to understand tool condition, dimensional accuracy, and surface superiority. For downtime in the metal cutting industry, the main reasons are tool breakage and excessive wear, so it is necessary to supervise tool which gives better tool life and enhance productivity. This paper presents different conventional and artificial intelligence techniques for tool supervision in the processing procedures that have More >

  • Open Access

    ARTICLE

    A validation study of new decision algorithms for interpretation of cancer significance on prostate systematic biopsy

    Gerald O. Ogola1, Nicolas Delongchamps2,3, Robert Serfling4

    Canadian Journal of Urology, Vol.24, No.2, pp. 8721-8727, 2017

    Abstract Introduction: To test with actual data a new decision algorithm derived by probability modeling of the number of positive cores, for deciding insignificant versus significant prostate cancer, based on prostate volume, Gleason score, tumor length on biopsy cores, and number of positive cores.
    Materials and methods: A dataset of 59 cancer-involved autopsied prostate glands from patients aged 42 to 92 years with prostate volumes of 22 cc to 95 cc was used. An 18 core-systematic biopsy was performed on the first 47 patients, and saturation biopsy protocol of 36 cores was performed on the remainder. Clinically insignificant… More >

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