Essays about: "Encoder-Decoder Models"

Showing result 1 - 5 of 23 essays containing the words Encoder-Decoder Models.

1. 1. 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

3. 2. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

   University essay from Uppsala universitet/Tillämpad kärnfysik

   Author : Wenhan Zhou; [2023]
   Keywords : Transuranus; AI; Nuclear Fuel Rods;

   Abstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE

4. 3. Modeling Credit Default Swap Spreads with Transformers : A Thesis in collaboration with Handelsbanken

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

   Author : Johan Luhr; [2023]
   Keywords : Machine Learning; Transformer; Finance; Credit Default Swap; Credit Valuation Adjustment; Time Series Data; Maskininlärning; Transformer; Finance; Kreditswapp; Kredit Värderings Justering; Tidsserie data;

   Abstract : In the aftermath of the credit crisis in 2007, the importance of Credit Valuation Adjustment (CVA) rose in the Over The Counter (OTC) derivative pricing process. One important part of the pricing process is to determine Probability of Defaults (PDs) of the counterparty in question. READ MORE

5. 4. Robust Multi-Modal Fusion for 3D Object Detection : Using multiple sensors of different types to robustly detect, classify, and position objects in three dimensions.

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

   Author : Viktor Kårefjärd; [2023]
   Keywords : Computer Vision; 3D Object Detection; Multi-Modal Fusion; Deep Learning; Datorseenden; 3D-objektdetektion; Multimodal fusion; Djupinlärning;

   Abstract : The computer vision task of 3D object detection is fundamentally necessary for autonomous driving perception systems. These vehicles typically feature a multitude of sensors, such as cameras, radars, and light detection and ranging sensors. READ MORE

6. 5. Anomaly Detection of Time Series Caused by International Revenue Share Fraud : Additive Model and Autoencoder Applications

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

   Author : Lingxiao Wang; [2023]
   Keywords : Fraud detection; Anomaly detection; Machine learning; Bedrägeriupptäckt; Anomalidetektering; Maskininlärning;

   Abstract : In this paper, we compare the performance of two methods to find the attempts at fraud from the data provided by Sinch (formerly CLX Communications, which is a telecommunications and cloud communications platform as a service (PaaS) company). We consider the problem as finding the anomaly in a time series signal, where we ignore the duration of a single call or other features and only care about the total volume of calls in a certain period. READ MORE