Sökning: "kth närmaste granne"
Visar resultat 1 - 5 av 12 uppsatser innehållade orden kth närmaste granne.
1. Evaluating Random Forest and k-Nearest Neighbour Algorithms on Real-Life Data Sets
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Computers can be used to classify various types of data, for example to filter email messages, detect computer viruses, detect diseases, etc. This thesis explores two classification algorithms, random forest and k-nearest neighbour, to understand how accurately and how quickly they classify data. LÄS MER
2. A Comparative Study of Machine Learning Algorithms for Angular Position Estimation in Assembly Tools
Master-uppsats, KTH/Matematisk statistikSammanfattning : The threaded fastener is by far the most common method for securing components together and plays a significant role in determining the quality of a product. Atlas Copco offers industrial tools for tightening these fasteners, which are today suffering from errors in the applied torque. LÄS MER
3. Topologica linteractions in a multi-layered flocking system
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the multi-layered flocking system it is possible to simulate flocks that contain different types of agents that can be of various different sizes (variations in bounding radius and height). In the original implementation, the multi-layered flocking system uses a metric distance to find the nearest-neighbours of agents. LÄS MER
4. A deep learning based anomaly detection pipeline for battery fleets
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis proposes a deep learning anomaly detection pipeline to detect possible anomalies during the operation of a fleet of batteries and presents its development and evaluation. The pipeline employs sensors that connect to each battery in the fleet to remotely collect real-time measurements of their operating characteristics, such as voltage, current, and temperature. LÄS MER
5. Human-robot Collaboration Focusing on Image Processing
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The future manufacturing industry calls for a new generation of production so-lutions with high efficiency and flexibility. Therefore, research towards Human-Robot Collaboration (HRC) has recently aroused much attention in the field ofmanufacturing as it provides the possibility for harmonizing the accuracy of arobot with the flexibility of a human. LÄS MER