Essays about: "application of Neural Networks"
Showing result 1 - 5 of 155 essays containing the words application of Neural Networks.
-
1. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE
-
2. Object classification in the simulation environment using ultrasonic sensor arrays
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : With the wide application of machine learning technologies in advanced driver assistance systems of vehicles, object classification on obstacles has attracted much attention. Ultrasonic sensors are mainly used to measure the distance to obstacles under the condition of low-speed movement. READ MORE
-
3. Time Dependencies Between Equity Options Implied Volatility Surfaces and Stock Loans, A Forecast Analysis with Recurrent Neural Networks and Multivariate Time Series
University essay from KTH/Matematik (Avd.)Abstract : Synthetic short positions constructed by equity options and stock loan short sells are linked by arbitrage. This thesis analyses the link by considering the implied volatility surface (IVS) at 80%, 100%, and 120% moneyness, and stock loan variables such as benchmark rate (rt), utilization, short interest, and transaction trends to inspect time-dependent structures between the two assets. READ MORE
-
4. Investigating Machine Learning for verification of AMBA APB protocol.
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. READ MORE
-
5. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds
University essay from Lunds universitet/Matematik LTHAbstract : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. READ MORE
