Sökning: "feature vector"

Visar resultat 1 - 5 av 237 uppsatser innehållade orden feature vector.

1. 1. Physical Exercise and Fatigue Detection using Machine Learning

   Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Filip Säterberg; Rasmus Nilsson; [2024]
   Nyckelord :Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

   Sammanfattning : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. LÄS MER

3. 2. Audio Anomaly Detection in Cars

   Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Asma Hussein; [2023-09-11]
   Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

   Sammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER

4. 3. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue

   Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Abboud Afram; Danial Sarab Fard Sabet; [2023]
   Nyckelord :EMG; SEMG; STFT; CWT; SVM; CNN; GAN; DCGAN; BCE; SGD; deep learning; machine learning; muscle fatigue; DCGAN; spectrogram; CNN models; transfers learning; data augmentation; feature extraction;

   Sammanfattning : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. LÄS MER

5. 4. Exogenous Fault Detection in Aerial Swarms of UAVs

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Maja Westberg; [2023]
   Nyckelord :Exogenous Fault Detection; Local Outlier Factor; Aerial Swarm; Unmanned Aerial Vehicle; Behavioral Feature Vector; Outlier Detection; Cluster Analysis; Exogen Feldetektering; Local Outlier Factor; Drönarsvärm; Obemannad Drönare; Beteendevektor; Avvikelse-Analys; Kluster-Analys;

   Sammanfattning : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. LÄS MER

7. 5. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Syed Saif Ahmed; Harshini Devi Arepalli; [2023]
   Nyckelord :Cloud Computing; Predictive Auto-Scaling; Machine Learning; Data Correlation;

   Sammanfattning : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. LÄS MER