Sökning: "k-NN"

Visar resultat 21 - 25 av 44 uppsatser innehållade ordet k-NN.

1. 21. Diagnostics and Prognostics of safety critical systems using machine learning, time and frequency domain analysis

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

   Författare :Pratik Purkayastha; [2019]
   Nyckelord :Diagnostics; Prognostics; PHM; predictive maintenance;

   Sammanfattning : The prime focus of this thesis was to develop a robust Prognostic and Diagnostic Health Management module (PDHM), capable of detecting faults, classifying faults, fault progression tracking and estimating time to failure. Priority was to obtain as much accuracy as possible with the bare minimum amount of sensors as possible. LÄS MER

3. 22. IoT for fresh water quality monitoring

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Duarte Maher; [2018]
   Nyckelord :IoT; Machine Learning; Water Quality Monitoring; iWater; IoT; Maskininlärning; Vattenkvalitetsövervakning; iWater;

   Sammanfattning : Water is one of the most important resources in the world. It has direct impact on the daily life ofmankind and sustainable development of society. Water quality affects biological life and has to obeystrict regulations. Traditional water quality assurance methods, used today, involve manual samplingfollowed by laboratory analysis. LÄS MER

4. 23. Evaluation of Text-Independent and Closed-Set Speaker Identification Systems

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Berk Gedik; [2018]
   Nyckelord :;

   Sammanfattning : Speaker recognition is the task of recognizing a speaker of a given speech record and it has wide application areas. In this thesis, various machine learning models such as Gaussian Mixture Model (GMM), k-Nearest Neighbor(k-NN) Model and Support Vector Machines (SVM) and feature extraction methods such as Mel-Frequency Cepstral Coefficients (MFCC) and Linear Predictive Cepstral Coefficients (LPCC) are investigated for the speaker recognition task. LÄS MER

5. 24. Evaluation of Supervised Machine LearningAlgorithms for Detecting Anomalies in Vehicle’s Off-Board Sensor Data

   Master-uppsats, Högskolan Dalarna/Mikrodataanalys

   Författare :Nor-Ul Wahab; [2018]
   Nyckelord :Anomaly detection; rule-based; one class support vector machine; k-nearest neighbor; random forest; confusion matrix; accuracy; precision; recall; F1-score;

   Sammanfattning : A diesel particulate filter (DPF) is designed to physically remove diesel particulate matter or soot from the exhaust gas of a diesel engine. Frequently replacing DPF is a waste of resource and waiting for full utilization is risky and very costly, so, what is the optimal time/milage to change DPF? Answering this question is very difficult without knowing when the DPF is changed in a vehicle. LÄS MER

7. 25. Datautvinning av klickdata : Kombination av klustring och klassifikation

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Xianjie Zhang; Sebastian Bogic; [2018]
   Nyckelord :Data analysis; data mining; clustering; classification; DBSCAN; k-nearest neighbor; click data; Dataanalys; datautvinning; klustring; klassifikation; DBSCAN; k-nearest neighbor; klickdata;

   Sammanfattning : Ägare av webbplatser och applikationer tjänar ofta på att användare klickar på deras länkar. Länkarna kan bland annat vara reklam eller varor som säljs. Det finns många studier inom dataanalys angående om en sådan länk kommer att bli klickad, men få studier fokuserar på hur länkarna kan justeras för att bli klickade. LÄS MER