Essays about: "project management models"

Showing result 1 - 5 of 346 essays containing the words project management models.

  1. 1. ML implementation for analyzing and estimating product prices

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Abel Getachew Kenea; Gabriel Fagerslett; [2024]
    Keywords : Machine Learning; ML; Regression; Deep Learning; Artificial Neural Network; ANN; TensorFlow; ScikitLearn; CUDA; cuDNN; Estimation; Prediction; AI; Artificial Intelligence; Price Tracking; Price Logging; Price Estimation; Supervised Learning; Random Forest; Decision Trees; Batch Learning; Hyperparameter Tuning; Linear Regression; Multiple Linear Regression; Maskininlärning; Djup lärning; Artificiellt Neuralt Nätverk; Regression; TensorFlow; SciktLearn; ML; ANN; Estimation; Uppskattning; CUDA; cuDNN; AI; Artificiell Intelligens; pris loggning; pris estimation; prisspårning; Batchinlärning; Hyperparameterjustering; Linjär Regression; Multipel Linjär Regression; Supervised Learning; Random Forest; Decision Trees;

    Abstract : Efficient price management is crucial for companies with many different products to keep track of, leading to the common practice of price logging. Today, these prices are often adjusted manually, but setting prices manually can be labor-intensive and prone to human error. READ MORE

  3. 2. Assessing water balance and yields in Malawian cropping systems : maize soybean and maize Gliricidia systems resilience against climate change

    University essay from SLU/Dept. of Soil and Environment

    Author : Danila Valeriano; [2024]
    Keywords : crop modelling; APSIM; Malawi; maize; soybean; Gliricidia; agroforestry; legume intercropping; climate predictions; climate adaptation; SDSM;

    Abstract : In Malawi, maize monocultures are increasingly susceptible to extreme weather patterns, causing considerable yield reduction and heightened food insecurity for smallholder farmers dependent on rainfed subsistence agriculture. Diversifying cropping systems is crucial for ensuring yield resilience. READ MORE

  4. 3. Robotic Automation of Mechanical Verification

    University essay from KTH/Integrerad produktutveckling och design

    Author : Sofie Gårdestam; Amalia Kronér; [2024]
    Keywords : ;

    Abstract : This master thesis explores the implementation of Collaborative robots into Elekta's mechanical product verification process. Elekta is a pioneer in precision radiation therapy solutions. Ensuring the compliance of Elekta's products with performance, safety, and quality criteria is of great importance. READ MORE

  5. 4. Development and characterization of multi-streams heat exchangers for liquefaction cycle analysis in the contextof hydrogen mobility

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : WULLSCHLEGER LÉA; [2023]
    Keywords : Liquefaction cycle; multi-streams heat exchanger; Matlab; PROOSIS; AMESIM; ArianeGroup;

    Abstract : This paper presents the master thesis work done at ArianeGroup on the development and characterization of multi-streams heat exchangers for liquefaction cycle analysis in the context of hydrogen mobility. In 2015, the Paris Agreements aimed at strengthening the global response to the threat of climate change by keeping the temperature rise below 1. READ MORE

  6. 5. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data

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

    Author : Jiaqi Xu; [2023]
    Keywords : Traffic State Estimation; Macroscopic Traffic Model; Extended Kalman Filter; Particle Filter; Data Fusion; Trafiklägesuppskattning; Makroskopisk trafikmodell; Utökad Kalman-filter; Partikelfilter; Datafusion;

    Abstract : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. READ MORE