Essays about: "Process Based Models"

Showing result 21 - 25 of 1364 essays containing the words Process Based Models.

  1. 21. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Stella Jarlöv; Anton Svensson Dahl; [2023]
    Keywords : demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

    Abstract : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. READ MORE

  3. 22. Towards Circular Business Models in Swedish Rock and Soil Material Management : An Ecosystem-level Exploration

    University essay from Linköpings universitet/Projekt, innovationer och entreprenörskap

    Author : Tova Andreasson; [2023]
    Keywords : ;

    Abstract : The rapid growth of Swedish metropolitan regions, has led to increased demand for rock and soil materials for building construction and infrastructural work. Sweden's rock and soil material management industry extracts over 100 million tons of aggregate per year, while only succeeding in recycling 1% of it. READ MORE

  4. 23. Deep Learning Based Sentiment Analysis

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Shashank Kalluri; [2023]
    Keywords : Sentiment Analysis; Word Embedding; Deep Learning;

    Abstract : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. READ MORE

  5. 24. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness

    University essay from Linköpings universitet/Datorseende

    Author : Daniel Bladh; [2023]
    Keywords : Deep Learning; Computer Vision; Monocular; SLAM; Depth Estimation;

    Abstract : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. READ MORE

  6. 25. Accelerating university-industry collaborations with MLOps : A case study about the cooperation of Aimo and the Linnaeus University

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Nico Pistor; [2023]
    Keywords : MLOps; Machine Learning Operations; Development Process; Machine Learning; Artificial Intelligence; DevOps; Collaboration;

    Abstract : Many developed machine learning models are not used in production applications as several challenges must be solved to develop and deploy ML models. Manual reimplementation and heterogeneous environments increase the effort required to develop an ML model or improve an existing one, considerably slowing down the overall process. READ MORE