Sökning: "features of industry"
Visar resultat 1 - 5 av 710 uppsatser innehållade orden features of industry.
1. ”HAR JAG EN BOK I ÖRONEN KAN JAG GÅ HUR LÅNGT SOM HELST”. En kvalitativ studie om användares relation till ljudböcker jämfört med tryckta böcker
Kandidat-uppsats, Göteborgs universitet/Institutionen för journalistik, medier och kommunikationSammanfattning : Har jag en bok i öronen kan jag gå hur långt som helst, or If I have a book in my ears, I can walk as far as I want, is a qualitative study that explores users' relationship with streamed audiobooks, compared to books in printed format. The choice of topic is driven by the fact that digitalization has transformed literature as a medium and the book industry as an enterprise. LÄS MER
2. Stock Price Predictions for FAANG Companies Using Machine Learning Models
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. LÄS MER
3. Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic temperature ("topt") at which enzymes catalyze reactions most efficiently. LÄS MER
4. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : 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. LÄS MER
5. Financial and Operational outcomes of a No-Code Manufacturing Execution System (MES)
Kandidat-uppsats, Högskolan i Gävle/Industriell ekonomiSammanfattning : Purpose: This study aims to identify the operational and financial outcomes of companies implementing the no-code manufacturing execution system (MES). Methods: This study has been conducted using inductive reasoning to develop new theories in this unexplored subject. LÄS MER