Essays about: "detection methods"

Showing result 11 - 15 of 1457 essays containing the words detection methods.

  1. 11. Log Frequency Analysis for Anomaly Detection in Cloud Environments

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Prathyusha Bendapudi; [2024]
    Keywords : Log Analysis; Log Frequency Patterns; anomaly detection; machine learning; cloud environments;

    Abstract : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. READ MORE

  3. 12. Quantification of Pharmaceuticals at the sub-cellular level using the NanoSIMS

    University essay from Uppsala universitet/Analytisk kemi

    Author : Maryam Dost; [2024]
    Keywords : Mass spectroscopy imaging; AstraZeneca; Nanosims; Therapeutics; pharmacokinetics; pharmacodynamics; Quantitative Visualization; calibration curve; RSF; pharmacology; Data Analysis; Chemistry; Quantification; isotopes; Pharmaceuticals; subcellular; drug; drug target; nucleotide; biodistribution; Bioanalytical electrochemistry; spectroscopy; mass spectrometry; analytical separations; Analytical Chemistry; ROI; Bioanalytical Chemistry; Masspektroskopi avbildning; AstraZeneca; Nanosims; Terapeutik; farmakokinetik; farmakodynamik; Kvantitativ visualisering; kalibreringskurva; RSF; farmakologi; Dataanalys; Kemi; Kvantifiering; isotoper; Läkemedel; subcellulär; läkemedel; läkemedelsmål; bioskopisk elektrofördelning; nukleotid; bioskopisk bioskopisk distribution; masspektrometri; analytiska separationer; analytisk kemi; bioanalytisk kemi;

    Abstract : Mass spectroscopy imaging (MSI) has become a vital tool in modern research due to its ability to visualize the spatial distribution of molecules within tissue samples. The collaboration between researchers at AZ, the University of Gothenburg, and Chalmers University of Technology using the NanoSIMS instrument and MSI-SIMS technology has opened up new avenues of exploration in pharmaceutical development, particularly in examining drugs and metabolites at sub-cellular levels. READ MORE

  4. 13. N-body simulations of exoplanets and their moons

    University essay from Lunds universitet/Astrofysik; Lunds universitet/Fysiska institutionen

    Author : Lydia Schollmeier; [2024]
    Keywords : Physics and Astronomy;

    Abstract : The planet-planet interactions in a many-planet system cannot be analytically calculated. Instead, they have to be investigated by using an N-body simulation. I discuss three questions about the N-body interactions in planetary systems: The first two are on the system 55 Cnc, a system with five known planets around a K-type star. READ MORE

  5. 14. Physical Exercise and Fatigue Detection using Machine Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

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

    Abstract : 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. READ MORE

  6. 15. Audio Anomaly Detection in Cars

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

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

    Abstract : 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. READ MORE