Essays about: "Autoencoder"

Showing result 1 - 5 of 69 essays containing the word Autoencoder.

  1. 1. Compressed Machine Learning on Time Series Data

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

    Author : Felix Finger; Nathalie Gocht; [2020-07-08]
    Keywords : time series clustering; large scale data; machine learning; prediction; anomaly detection; compression;

    Abstract : The extent of time related data across many fields has led to substantial interestin the analysis of time series. This interest meets growing challenges to store andprocess data. While the data is collected at an exponential rate, advancements inprocessing units are slowing down. READ MORE

  2. 2. Bone segmentation and extrapolation in Cone-Beam Computed Tomography

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

    Author : Zaineb Amor; [2020]
    Keywords : ;

    Abstract : This work was done within the French R&D center of GE Medical Systems and focused on two main tasks: skull bone segmentation on 3D Cone-Beam Computed Tomography (CBCT) data and skull volumetric shape extrapolation on 3D CBCT data using deep learning approaches. The motivation behind the first task is that it would allow interventional radiologists to visualize only the vessels directly without adding workflow to their procedures and exposing the patients to extra radiations. READ MORE

  3. 3. Automatic Generation of Descriptive Features for Predicting Vehicle Faults

    University essay from Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab); Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)

    Author : Vandan Revanur; Ayodeji Ayibiowu; [2020]
    Keywords : Dimensionality Reduction; Autoencoder; Artificial Neural Network; Embeddings; Powertrain; Predictive Maintenance;

    Abstract : Predictive Maintenance (PM) has been increasingly adopted in the Automotive industry, in the recent decades along with conventional approaches such as the Preventive Maintenance and Diagnostic/Corrective Maintenance, since it provides many advantages to estimate the failure before the actual occurrence proactively, and also being adaptive to the present status of the vehicle, in turn allowing flexible maintenance schedules for efficient repair or replacing of faulty components. PM necessitates the storage and analysis of large amounts of sensor data. READ MORE

  4. 4. Tests of Autoencoder Compression of Trigger Jets in the ATLAS Experiment

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

    Author : Erik Wallin; [2020]
    Keywords : Physics and Astronomy;

    Abstract : Limited data storage capability is a large obstacle for saving data in high energy particle physics. One method of partially circumventing these limitations, is trigger level analysis (TLA) as used by the ATLAS experiment. The efficiency of TLA can be further increased by doing effective data compression. READ MORE

  5. 5. Prediction of Component Breakdowns in Commercial Trucks : Using Machine Learning on Operational and Repair History Data

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

    Author : Einar Bremer; [2020]
    Keywords : Machine Learning; Data Science; Neural Networks; Recurrent Neural Networks; Random Forest; Autoencoder; Long Short Term Memory;

    Abstract : The strive for cost reduction of services and repairs combined with a desire for increased vehicle reliability has led to the development of predictive maintenance programs. In maintenance plans, accurate forecasts and predictions regarding which components in a vehicle is in risk of a breakdown is bene_cial to obtain since this enables components to be predictively exchanged or serviced before they break down and cause unnecessary downtime. READ MORE