Essays about: "Different models of work integrated learning"
Showing result 1 - 5 of 10 essays containing the words Different models of work integrated learning.
-
1. Towards Large Scale Façade Parsing: A Deep Learning Pipeline Using Mask R-CNN
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This thesis tries to find a methodology that create a working pipeline for building facade parsing, which allows to access large scale panorama imagery from Google Street View (GSV) and implement on deep learning models. We propose a semiautomated pipeline that integrates multiple systems for large-scale building facade parsing. READ MORE
-
2. An Investigation of Methods for Flow Measurements in a Gasketed Plate Heat Exchanger for Predictive Maintenance
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : For a company to stay relevant in the long term, it is essential to keep up with the latest technology and continuously consider new innovative solutions for improving products and services. The gasketed plate heat exchanger (GPHE) is a mechanical device, and this work attempts to investigate different possibilities for incorporating sensor devices and predictive maintenance systems to improve the device. READ MORE
-
3. Towards Automatic Generation of Personality-Adapted Speech and Emotions for a Conversational Companion Robot
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Previous works in Human-Robot Interaction have demonstrated the positive potential benefit of designing highly anthropomorphic robots. This includes physical appearance but also whether they can express emotions, behave in a congruent manner, etc. READ MORE
-
4. Chinese Zero Pronoun Resolution with Neural Networks
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In this thesis, I explored several neural network-based models to resolve the issues of zero pronoun in Chinese English translation tasks. I reviewed previous work that attempts to take the resolution as a classification task, such as determining if a candidate in a given set is the antecedent of a zero pronoun, which can be categorized as rule-based and supervised methods. READ MORE
-
5. Long Term Forecasting of Industrial Electricity Consumption Data With GRU, LSTM and Multiple Linear Regression
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Accurate long-term energy consumption forecasting of industrial entities is of interest to distribution companies as it can potentially help reduce their churn and offer support in decision making when hedging. This thesis work presents different methods to forecast the energy consumption for industrial entities over a long time prediction horizon of 1 year. READ MORE
