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Showing result 1 - 5 of 42 essays matching the above criteria.

1. 1. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

   Author : Yuxin Sun; [2023]
   Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

   Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

3. 2. Wind Turbine Recovery Forecasting using Survival Analysis

   University essay from Lunds universitet/Matematisk statistik

   Author : Anton Palets; [2023]
   Keywords : Survival analysis; Recovery Forecast; Wind Turbine; Availability Forecast; AFT model; Aalen s model; Cox regression; Cox Proportional Hazards; Variation Processes; Mathematics and Statistics;

   Abstract : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. READ MORE

4. 3. Evaluation of MPC and PI control on a Tribometer : Design and comparison of control methods for a Pin-on-Disc Tribometer

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Ehab Ziad Raheem; Tore Malmström; [2023]
   Keywords : Control Theory; MPC; PI; PI-Cascade; Tribometer; Pin-on-Disc; Reglersystem; MPC; PI; PI-Kaskadreglering; Tribometer; Stift-På-Skiva;

   Abstract : This thesis compares Model Predictive Control (MPC) and Proportional-Integral (PI) control in a pin-on-disc tribometer. The tribometer consists of a geared Direct Current (DC) motor driving a flywheel and a voice coil actuating a pin onto the surface of the flywheel. READ MORE

5. 4. Using the advanced methods of financial analysis to predict the bankruptcy of companies

   University essay from Göteborgs universitet/Graduate School

   Author : Ahmad Haitham Meslemani; Pai Peng; [2022-06-30]
   Keywords : Bankruptcy; predict financial analysis; Corporate evaluation; credit risk management; financial ratio; Failure determinants;

   Abstract : Due to the increase in corporate bankruptcy cases worldwide, the need has increased to find a way to protect companies from bankruptcy by finding a scientific model that enables business owners to predict it before it occurs. Therefore, the interest in predicting bankruptcy has recently become one of the most critical topics in accounting, finance, and finance. READ MORE

6. 5. Detection of software incidents from large log material with the use of unsupervised machine learning

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : DIMITRIOS ANASTASIADIS; JAKUB LENART; [2022-06-20]
   Keywords : binary classification; log; anomaly detection; machine learning; Local Outlier Factor; Isolation Forest; PCA; LSTM-Autoencoder;

   Abstract : Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies can be spotted in the system through its produced log material. READ MORE