Sökning: "Sławomir Nowaczyk"

Visar resultat 6 - 10 av 21 avhandlingar innehållade orden Sławomir Nowaczyk.

1. 6. Together We Learn More : Algorithms and Applications for User-Centric Anomaly Detection

   Författare :Ece Calikus; Sławomir Nowaczyk; Onur Dikmen; Stefan Byttner; Evgeny Burnaev; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data mining; machine learning; anomaly detection; Smart Cities and Communities; Smarta städer och samhällen;

   Sammanfattning : Anomaly detection is the problem of identifying data points or patterns that do not conform to normal behavior. Anomalies in data often correspond to important and actionable information such as frauds in financial applications, faults in production units, intrusions in computer systems, and serious diseases in patient records. LÄS MER

3. 7. Methods to quantify and qualify truck driver performance

   Författare :Iulian Carpatorea; Slawomir Nowaczyk; Thorsteinn Rögnvaldsson; Wahde Mattias; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Driver performance; heavy-duty vehicle; fuel economy; fuel consumption; fuel prediction; truck driver;

   Sammanfattning : Fuel consumption is a major economical component of vehicles, particularly for heavy-duty vehicles. It is dependent on many factors, such as driver and environment, and control over some factors is present, e.g. route, and we can try to optimize others, e. LÄS MER

4. 8. Nearest Neighbor Classification in High Dimensions

   Författare :Sampath Deegalla; Henrik Boström; Slawomir Nowaczyk; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Nearest Neighbor; High-Dimensional Data; Curse of Dimensionality; Dimensionality Reduction; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : The simple k nearest neighbor (kNN) method can be used to learn from high dimensional data such as images and microarrays without any modification to the original version of the algorithm. However, studies show that kNN's accuracy is often poor in high dimensions due to the curse of dimensionality; a large number of instances are required to maintain a given level of accuracy in high dimensions. LÄS MER

5. 9. Hierarchical Methods for Self-Monitoring Systems : Theory and Application

   Författare :Pablo José Del Moral Pastor; Sławomir Nowaczyk; Sepideh Pashami; Niklas Lavesson; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Self-monitoring solutions first appeared to avoid catastrophic breakdowns in safety-critical mechanisms. The design behind these solutions relied heavily on the physical knowledge of the mechanism and its fault. They usually involved installing specialized sensors to monitor the state of the mechanism and statistical modeling of the recorded data. LÄS MER

7. 10. A Self-Organized Fault Detection Method for Vehicle Fleets

   Författare :Yuantao Fan; Thorsteinn Rögnvaldsson; Sławomir Nowaczyk; Erik Frisk; Högskolan i Halmstad; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : A fleet of commercial heavy-duty vehicles is a very interesting application arena for fault detection and predictive maintenance. With a highly digitized electronic system and hundreds of sensors mounted on-board a modern bus, a huge amount of data is generated from daily operations. LÄS MER