Essays about: "Sequences algorithm"
Showing result 1 - 5 of 112 essays containing the words Sequences algorithm.
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1. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. READ MORE
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2. Minimization of Model-based Tests in Modbat
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Model-based testing (MBT) is a promising testing method with advantages like exhaustive exploration and high maintainability. However, one notable downside is that the generated tests usually contain much unnecessary noise. READ MORE
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3. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. READ MORE
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4. Compact Representations of State Sets in State Space Search
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Modern day technological advancements are moving at a rapid pace. In the field of Artificial Intelligence, algorithms are becoming ever faster and process larger amounts of data. These fast algorithms call for data structures that can store this processed data compactly. This premise also holds true in the AI subfield of planning. READ MORE
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5. Real-time unsupervised log event anomaly detection in public transportation
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Detecting log data anomalies in real-time is useful since it makes it possible to apply logic that corrects the anomalies when they happen. This project presents a method for detecting public transportation bus event log data anomalies in realtime, without having a labeled data set. READ MORE