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Showing 1 to 7 of 7 for “"Polynomial regression model"”.

  1. Height error mapping and compensation for a fused filament fabrication machine

    … points in the machine's work envelope. A polynomial regression model is fitted to this measured data and used to generate height error predictions at each point in the volume of novel parts. Finally, height error compensation based on the aforementioned model is applied by modifying G-code …

    mit Repository record for Height error mapping and compensation for a fused filament fabrication machine (opens in a new tab)

  2. A study of some features of the fully stressed design algorithm

    … the data points of available sections using a polynomial regression model with the section modulus as the independent design variable. Comparing the derived equations with two other published sets of equations demonstrates that the specific dependent functions used in an FSD solution …

    vt Repository record for A study of some features of the fully stressed design algorithm (opens in a new tab)

  3. The growth pattern of various body and carcass parts and proportions of beef steers as influenced by different planes of nutrition

    … to the design of the experiment, the linear model included the general mean, the effects of slaughter time, breed, trial, slaughter time by trial interaction and slaughter time by breed interaction, and an error term. The first part of the investigation dealt with the analysis of variance of …

    vt Repository record for The growth pattern of various body and carcass parts and proportions of beef steers as influenced by different planes of nutrition (opens in a new tab)

  4. Changes in soil properties and their effects on maize productivity following sesbania and pigeon pea improved fallow system in Eastern Zambia

    … and S. sesban land use systems (LUSs). A polynomial regression model between maize grain yield and pre-season soil inorganic nitrate-N for 0-20 cm, 0-40 cm and 0- 60cm soil layers showed that the amount of pre-season inorganic nitrate-N in the soil layer accounted for 70%, 67% and 69% …

    zambia Repository record for Changes in soil properties and their effects on maize productivity following sesbania and pigeon pea improved fallow system in Eastern Zambia (opens in a new tab)

  5. Experimental and modeling study for hydrothermal liquefaction of wet biowaste

    … addition, food waste HTL conversion prediction models are developed for biocrude oil yield and oil heating value. A second order polynomial model with multiple key variables of the process performs accurate prediction on food waste HTL biocrude oil yield. The model can accurately determine …

    uiuc Repository record for Experimental and modeling study for hydrothermal liquefaction of wet biowaste (opens in a new tab)

  6. Detekce objektů a sledování trasy pohybu účastníků provozu pro potřeby inteligentních dopravních uzlů

    … Je navržen experiment, který posuzuje detekční modely YOLOv5, YOLOR, Scaled-YOLOv4 a EfficientDet a po- rovnává jejich vlastnosti (rychlost detekce, pamětové nároky, přesnost a jistotu detekce). K tomuto účelu je vytvořena vlastní datová sada, na které jsou tyto parametry zkoumány. Ze studie …

    brno-tech Repository record for Detekce objektů a sledování trasy pohybu účastníků provozu pro potřeby inteligentních dopravních uzlů (opens in a new tab)

  7. In-Vivo and In-Vitro Cholesterol Removal by Lactobacilli and Bifidobacteria

    … the highest level of cholesterol. First-order models showed that the combination of L. casei ASCC 292, FOS, and maltodextrin was the most efficient for the removal of cholesterol, while L. acidophilus ATCC 4962 in the presence of mannitol, FOS and inulin was best for cholesterol removal. B. …

    vu-aus Repository record for In-Vivo and In-Vitro Cholesterol Removal by Lactobacilli and Bifidobacteria (opens in a new tab)