Essays about: "Time Series Prediction"

Showing result 26 - 30 of 242 essays containing the words Time Series Prediction.

1. 26. Data-Driven Traffic Forecasting for Completed Vehicle Simulation: : A Case Study with Volvo Test Trucks

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Samaneh Shahrokhi; [2023]
   Keywords : supervised machine learning; traffic forecasting; vehicle presence prediction; binary classification; ensemble learning; feature engineering; hyperparameter tuning; data-driven analysis;

   Abstract : This thesis offers a thorough investigation into the application of machine learning algorithms for predicting the presence of vehicles in a traffic setting. The research primarily focuses on enhancing vehicle simulation by employing data-driven traffic prediction methods. The study approaches the problem as a binary classification task. READ MORE

3. 27. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Teja Sai Vaibhav Boppana; Joseph Sudheer Vinakonda; [2023]
   Keywords : Machine Learning; Market Trends; News; Headlines Stock Price Prediction; VADER.;

   Abstract : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. READ MORE

4. 28. Processing, Modeling, and Forecasting: A Time Series Analysis of Sick Leave Absences in Sweden and Evaluating the Impact of Macro Factors

   University essay from Lunds universitet/Matematisk statistik

   Author : Marcus Lindell; Casper Schwerin; [2023]
   Keywords : AI; Machine Learning; Time series analysis; Modeling; Sick absence; Forecasting; Macro factors; Stochastic processes; Mathematics and Statistics; Technology and Engineering;

   Abstract : Sick absence affects companies both operationally and economically and the matter has become increasingly prominent following the COVID-19 pandemic. MedHelp Care is an e-health company working towards increasing workplace wellness by offering insights into absence and rehabilitation matters. READ MORE

5. 29. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine

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

   Author : Felix Boltshauser; [2023]
   Keywords : Machine learning; Anomaly Detection; DeepAnT; ROCKET; OCSVM; manufacturing; predictive maintenance; Maskin inlärning; Anomali Detektion; DeepAnT; ROCKET; OCSVM; tillverkning; prediktivt underhåll;

   Abstract : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. READ MORE

6. 30. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Vijay Jayaraman; [2023]
   Keywords : time-series prediction; time-series histogram analysis; Convolution Neural Network CNN ; Autoencoder; Weibull Time-to-Event WTTE ; Recurrent Neural Network RNN ; Engine turbo charger failure prediciton;

   Abstract : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. READ MORE