Essays about: "multivariate time series data"
Showing result 41 - 45 of 89 essays containing the words multivariate time series data.
-
41. Visual Analysis of Industrial Multivariate Time-Series Data : Effective Solution to Maximise Insights from Blow Moulding Machine Sensory Data
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Developments in the field of data analytics provides a boost for small-sized factories. These factories are eager to take full advantage of the potential insights in the remotely collected data to minimise cost and maximise quality and profit. READ MORE
-
42. Predictive Analysis of Heating Systems for Fault Detection
University essay from Blekinge Tekniska HögskolaAbstract : Background : The heat load has an emergent role in the energy consumption of the heating system in buildings. The industry experts also have been constantly focusing on the heat load optimization techniques and in the recent years, numerous Machine Learning (ML) techniques have come into picture to resolve various tasks. READ MORE
-
43. VePMAD: A Vehicular Platoon Management Anomaly Detection System : A Case Study of Car-following Mode, Middle Join and Exit Maneuvers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Vehicle communication using sensors and wireless channels plays an important role to allow exchanging information. Adding more components to allow exchanging more information with infrastructure enhanced the capabilities of vehicles and enabled the rise of Cooperative Intelligent Transport Systems (C-ITS). READ MORE
-
44. Synthesis of sequential data
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Good generative models for short time series data exist and have been applied for both data augmentation and privacy protection purposes in the past. A common theme for existing generative models is that they all use a recurrent neural network (RNN) architecture, which makes the models limited regarding the length of the sequences. READ MORE
-
45. Real-time Classification of Multi-sensor Signals with Subtle Disturbances Using Machine Learning : A threaded fastening assembly case study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Sensor fault detection is an actively researched area and there are a plethora of studies on sensor fault detection in various applications such as nuclear power plants, wireless sensor networks, weather stations and nuclear fusion. However, there does not seem to be any study focusing on detecting sensor faults in the threaded fastening assembly application. READ MORE