Essays about: "pris estimation"

Showing result 1 - 5 of 16 essays containing the words pris estimation.

  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. Cost Estimation, Budgeting and OEE Analysis for Binder Jetting at Sandvik Additive Manufacturing Division

    University essay from KTH/Produktionsutveckling

    Author : Ankita Shanawad; [2023]
    Keywords : Binder Jet Additive Manufacturing; Overall Equipment Efficiency; Key Performance Indicator;

    Abstract : The master thesis at Sandvik Additive Manufacturing Division, Sandviken, aims at three things. The first step is to estimate the cost of a Binder jet Additive Manufacturing method and identify the key cost drivers in the manufacturing process, since cost estimation can help the organisation to understand the cost factors that are affecting the product's price. READ MORE

  4. 3. A Machine Learning Estimation of the Occupancy of Padel Facilities in Sweden : An application of Random Forest algorithm on a padel booking dataset

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

    Author : Michael Johansson; Nadia Gonzálvez Läth; [2022]
    Keywords : Machine Learning; Random Forest Regression; Occupancy; Estimation; Padel; Bookings; Sweden; Evaluation Metrics; Features; SHAP; Maskininlärning; Random Forest Regression; Beläggning; Uppskattning; Padel; Bokningar; Sverige; Utvärderingsmått; Inputvärden; SHAP;

    Abstract : Padel is one of the fastest growing sports in Sweden. Its popularity rose significantly during the Covid-19 pandemic in 2020, as many other types of sport facilities closed, and people had more flexible work schedules due to remote work. READ MORE

  5. 4. Evaluation of Onshore Transportation Methods for Captured CO2 between Facility and Harbour in Stockholm

    University essay from KTH/Maskinkonstruktion (Avd.)

    Author : Emma Johansson; Vilborg Pétursdóttir; [2021]
    Keywords : CCS; Economic cost; Transportation; Truck; Pipeline; CCS; Ekonomisk kostnad; Transport; Lastbil; Rörledning;

    Abstract : Carbon capture and storage (CCS) is a method to reduce the emission of CO2 into the atmosphere. Stockholm Exergi is a Stockholm based company with combined heat and power (CHP) plants in various places around the city and are currently investigating the possibilities to implement CCS on their CHP plant Högdalenverket. READ MORE

  6. 5. Anomaly Detection and Revenue Loss Estimation in Accounting Data

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

    Author : Gustav Edholm; [2020]
    Keywords : Machine Learning; Anomaly Detection; Regression; Neural Network; Invoice; Revenue Loss; Maskininlärning; Avvikelsedetektion; Regression; Neuralnät; Faktura; Omsättningsförlust;

    Abstract : Loss of revenue due to erroneous invoicing is a serious problem for many companies in the repair and maintenance industry. Revenue loss can occur in many ways, for example by consistently charging the wrong hourly price for services. READ MORE