Search for dissertations about: "artificial intelligence algorithms"
Showing result 1 - 5 of 72 swedish dissertations containing the words artificial intelligence algorithms.
-
1. Evolutionary Humanoids for Embodied Artificial Intelligence
Abstract : The work presented in this thesis aims at investigating the potential of a proposed methodology to create a cognitive control architecture for a humanoid robot. This architecture comprises three hierarchical layers: the reactive layer, the model building layer, and the reasoning layer. READ MORE
-
2. Automated Text Analysis of Online Content in Marketing : Dictionray-Based Methods and Artificial Intelligence
Abstract : Far more than products or services, words are the most fundamental element in the exchanges between sellers and buyers. Understanding the words that constitute the text that is created when sellers and buyers interact with each other is therefore critical for marketing decision makers. READ MORE
-
3. Artificial Intelligence for Monitoring and Diagnosis of Robotic Spacecraft
Abstract : In this thesis the application of artificial intelligence to monitoring and diagnosis of robotic spacecraft is discussed. Several software prototype systems were developed to serve as testbeds for the research and to evaluate the effectiveness of the approach against real problems and current techniques used in NASA's planetary exploration program. READ MORE
-
4. Artificial Intelligence for Non-Contact-Based Driver Health Monitoring
Abstract : In clinical situations, a patient’s physical state is often monitored by sensors attached to the patient, and medical staff are alerted if the patient’s status changes in an undesirable or life-threatening direction. However, in unsupervised situations, such as when driving a vehicle, connecting sensors to the driver is often troublesome and wired sensors may not produce sufficient quality due to factors such as movement and electrical disturbance. READ MORE
-
5. Distributed Intelligence-Assisted Autonomic Context-Information Management : A context-based approach to handling vast amounts of heterogeneous IoT data
Abstract : As an implication of rapid growth in Internet-of-Things (IoT) data, current focus has shifted towards utilizing and analysing the data in order to make sense of the data. The aim of which is to make instantaneous, automated, and informed decisions that will drive the future IoT. READ MORE