Essays about: "K-means algorithm"

Showing result 6 - 10 of 107 essays containing the words K-means algorithm.

1. 6. Beståndsanpassad aptering: metodutveckling och utfallsprövning : effekter av varierande längdstyrning i egenskapsskilda beståndsgrupper

   University essay from SLU/Department of Forest Biomaterials and Technology (from 131204)

   Author : William Svederberg; [2023]
   Keywords : beståndsanpassad aptering; maskininlärning; produktionsstyrning;

   Abstract : Idag är tillgången till skogliga data mycket stor. En bidragande faktor till detta är insamlingen av data vid maskinell avverkning. Denna datamängd används i stor utsträckning för bland annat produktionsuppföljning men med viss bearbetning kan de användas för att digitalt återskapa den avverkade skogen. READ MORE

3. 7. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms

   University essay from Linköpings universitet/Energisystem

   Author : Oliver Wallin; Johan Jigsved; [2023]
   Keywords : AI; K-means; clustering; ICT-centre; data centre; data center; ICT-center; cooling; data center cooling;

   Abstract : Information and communications technology (ICT) is an important part in today’s society and around 60% of the world's population are connected to the internet. Processing and storing ICT data corresponds to approximately 1% of the global electricity demand. READ MORE

4. 8. Optimisation of warehouse for second-hand items using Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Simon Osnes; [2023]
   Keywords : Second-hand; Machine Learning; Data Analysis; Feature Selection; Clustering; K-Means; Second-hand; Maskininlärning; Dataanalys; Urval av Attributer; Klustring; K-Means;

   Abstract : Warehouse management and organisation often use the popularity of items to assign placements in the warehouse and predict sales. However, when dealing with only unique second-hand items another solution is needed. READ MORE

5. 9. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning

   University essay from Blekinge Tekniska Högskola

   Author : Simron Padhi; Devi Priya Battina; [2023]
   Keywords : Anomaly detection; Isolation forest algorithm; K-means algorithm; Local Outlier Factor algorithm; One class Support Vector Machine;

   Abstract : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. READ MORE

6. 10. Fault-Tolerant Over-the-Air Federated Learning with Clustered Aggregation : Using a hierarchical architecture with hybrid digital and analog communication, to deal with byzantine users in Federated Learning over wireless networks.

   University essay from Linköpings universitet/Kommunikationssystem

   Author : David Nordlund; [2023]
   Keywords : federated learning; aircomp;

   Abstract : Rapid advancements in modern AI applications have placed unprecedented demands on large-scale connectivity and data aggregation. The vision of Internet-of-Things (IoT) is supported by a massive amount of distributed sensors and wireless devices that generate useful data for these applications. READ MORE