Advanced search
Showing result 16 - 20 of 26 essays matching the above criteria.
-
16. Artificial Intelligence applications for railway signalling
University essay from KTH/TransportplaneringAbstract : The main purpose of this Master Thesis is to investigate how front-facing, train-mounted cameras and Computer Vision, a type of Artificial Intelligence (AI), can be used to compensate for GPS inaccuracies. By using footage from track-recording cameras, Computer Vision can be utilized to determine the number of tracks and the track occupancy of the train, which would compensate GPS inaccuracies in the lateral positioning. READ MORE
-
17. Artificial intelligence as a decision support system in property development and facility management
University essay from Högskolan i Borås/Akademin för textil, teknik och ekonomiAbstract : The construction industry has been hesitant for a long time to apply new technologies. In property development, the industry relies heavily on employees bringing experience from one project to another. These employees learn to manage risks in connection with the acquisition of land, but when these people retire, the knowledge disappears. READ MORE
-
18. Understanding expert behavior in adjusting models : Expert behaviour simulation
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Most companies nowadays employ experts who work in tandem with a numerical forecasting system to improve the latter’s accuracy. Studies have shown that in many cases these forecasts actually improve the final forecast, hence the popularity of the experts. READ MORE
-
19. Digital Twin : Visualization-Assisted Corrective Maintenance
University essay from KTH/MekatronikAbstract : This thesis evaluates the significance of the Digital Twin based data-driven solution, in helping corrective maintenance technicians leverage their multi-disciplinary engineering skills to solve complex mechatronic problems. Due to the complex mechatronic nature of the faults, human involvement is necessary for corrective maintenance. READ MORE
-
20. A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Recurrent neural networks (RNNs) have become a dominating player for processing of sequential data such as speech and audio. The reason for this, is the high accuracy that can be achieved with the more complex variants, such as the gated recurrent unit (GRU). READ MORE