Essays about: "Exponential regression"

Showing result 1 - 5 of 41 essays containing the words Exponential regression.

  1. 1. Fouling modelling in a UHT unit based on plant data.

    University essay from Lunds universitet/Livsmedelsteknik och nutrition (master)

    Author : Thai Lam; [2023]
    Keywords : UHT; dairy; tubular heat exchanger; fouling development; fouling removal; food engineering; Technology and Engineering; Agriculture and Food Sciences;

    Abstract : Heat treatment of dairy products is essential for food safety, one way to perform this is ultra-high temperature (UHT) processing. During the process, macronutrients and minerals form fouling deposits which impairs heat transfer. Eventually the fouling needs to be removed chemically by alkaline and acidic detergents. READ MORE

  3. 2. Predicting Workforce in Healthcare : Using Machine Learning Algorithms, Statistical Methods and Swedish Healthcare Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gabriel Diskay; Carl Joelsson; [2023]
    Keywords : Machine Learning ML ; Linear Regression Model LRM ; Gradient Boosting Regressor GBR ; Exponential Smoothing Model ESM ; Workforce Prediction WP ; Healthcare Sector HS ; Labor Policy LP ; Beveridge Curve BC ; Economic Forecasting EF ; Recursive Feature Elimination RFE ; Human Resource Management HRM ;

    Abstract : Denna studie undersöker användningen av maskininlärningsmodeller för att predicera arbetskraftstrender inom hälso- och sjukvården i Sverige. Med hjälp av en linjär regressionmodell, en Gradient Boosting Regressor-modell och en Exponential Smoothing-modell syftar forskningen för detta arbete till att ge viktiga insikter för underlaget till makroekonomiska överväganden och att ge en djupare förståelse av Beveridge-kurvan i ett sammanhang relaterat till hälso- och sjukvårdssektorn. READ MORE

  4. 3. A comparison of forecasting techniques: Predicting the S&P500

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Axel Neikter; Nils Sjöberg; [2023]
    Keywords : Forecasting; machine learning; random forest; arima;

    Abstract : Accurately predicting the S\&P 500 index means knowing where the US economy is heading. If there was a model that could predict the S\&P 500 with even some accuracy, this would be extremely valuable. Machine learning techniques such as neural network and Random forest have become more popular in forecasting. READ MORE

  5. 4. Towards a Reliable and Valid Analysis of VO2m Off-Kinetics

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Hrafnkell Þráinsson; [2022]
    Keywords : Sports Technology; Near-infrared spectroscopy; Muscle oxidative capacity; Occlusion; Software; Automation; Idrottsteknologi; Near-infrared spectroscopy; Muskulaturens oxidativa förmåga; Ocklusion; Programvara; Automatisering;

    Abstract : Non-invasive methods to evaluate skeletal muscle oxidative capacity have beenemerging as a viable substitute for invasive methods in recent years. One ofthose methods utilises near-infrared spectroscopy (NIRS) to calculate V O2mrecovery off-kinetics following an exercise. READ MORE

  6. 5. Exponential Growth Bias and Loss Aversion in the Context of COVID-19 and the Moderation Effect of Need for Cognition

    University essay from Stockholms universitet/Psykologiska institutionen

    Author : Berill Varga; [2022]
    Keywords : exponential growth bias; prospect theory; framing; need for cognition; COVID-19;

    Abstract : Humans have difficulties grasping the notion of exponential growth and often underestimate the accumulated final value, a phenomenon called exponential growth bias (EGB). During the COVID-19 pandemic, this tendency led to the inaccurate judgment of the virus spread, ultimately making safety measures seem less important. READ MORE