Essays about: "multivariate LSTM"

Showing result 1 - 5 of 27 essays containing the words multivariate LSTM.

1. 1. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Deepthy Prasad; Swathi Hampapura Sripada; [2023]
   Keywords : multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

   Abstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE

3. 2. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Shiwei Dong; [2023]
   Keywords : ;

   Abstract : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. READ MORE

4. 3. Demand Forecasting of Outbound Logistics Using Neural Networks

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Enobong Paul Otuodung; Gulten Gorhan; [2023]
   Keywords : Time Series Prediction; Demand Forecasting; Outbound Logistics; Machine Learning; Deep Learning; Univariate Forecasting; Multivariate Forecasting; Multi-Step Forecasting; LSTM; CNN-LSTM; ConvLSTM; Encoder-Decoder; Design science; Design science;

   Abstract : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. READ MORE

5. 4. Forecasting Codeword Errors in Networks with Machine Learning

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

   Author : Angus Hansson Svan; [2023]
   Keywords : Forecasting; Codeword Errors; Hybrid Fiber-Coaxial; Long Short-Term Memory; Multilayer Perceptron; Hybridfiber-koaxialt nätverk; HFC; LSTM; MLP;

   Abstract : With an increasing demand for rapid high-capacity internet, the telecommunication industry is constantly driven to explore and develop new technologies to ensure stable and reliable networks. To provide a competitive internet service in this growing market, proactive detection and prevention of disturbances are key elements for an operator. READ MORE

6. 5. Multivariate Time Series Prediction for DevOps : A first Step to Fault Prediction of the CI Infrastructure

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Yiran Wang; [2022]
   Keywords : VAR; LSTM; BiLSTM; time series; CI; DevOps;

   Abstract : The continuous integration infrastructure (CI servers) is commonly used as a shared test environment due to the need for collaborative and distributive development for the software products under growing scale and complexity in recent years. To ensure the stability of the CI servers, with the help of the constantly recorded measurement data of the servers, fault prediction is of great interest to software development companies. READ MORE