Essays about: "long short term memory"

Showing result 26 - 30 of 335 essays containing the words long short term memory.

1. 26. Detecting flight patterns using deep learning

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Victor Carlsson; [2023]
   Keywords : machine learning; AI; pattern detection; CNN; LSTM; transfer learning; ADS-B; flight pattern; trajectory classification;

   Abstract : With more aircraft in the air than ever before, there is a need for automating the surveillance of the airspace. It is widely known that aircraft with different intentions fly in different flight patterns. Support systems for finding different flight patterns are therefore needed. READ MORE

3. 27. Latent Data-Structures for Complex State Representation : A Steppingstone to Generating Synthetic 5G RAN data using Deep Learning

   University essay from Uppsala universitet/Högenergifysik

   Author : Jakob Häggström; [2023]
   Keywords : Data Science; Machine Learning; Generative models; Artificial Intelligence; 5GRAN;

   Abstract : The aim of this thesis is to investigate the feasibility of applying generative deep learning models on data related to 5G Radio Access Networks (5GRAN). Simulated data is used in order to develop the generative models, and this project serves as a proof of concept for further applications on real data. READ MORE

4. 28. Understanding the Determinants of Car Ownership : A Regression and Neural Network Study

   University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

   Author : Olle Kindvall; Vegard Pettersson; [2023]
   Keywords : Machine learning; panel data; panel data regression; LSTM; parking norm; car ownership;

   Abstract : This thesis aims to understand the determinants of car ownership in the Swedish regions containing the largest cities: Skåne, Stockholm, and Västra Götaland. This is done by performing a fixed effects regression analysis as well as creating and comparing different predictive models. Both socioeconomic and spatial factors are looked at. READ MORE

5. 29. Temporal Localization of Representations in Recurrent Neural Networks

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Asadullah Najam; [2023]
   Keywords : Recurrent Neural Networks RNNs ; Deep Learning; Time Series Prediction; Exploding Values; Gradient Decay; Long Short-Term Memory LSTMs ; Gated Recurrent Units GRUs ; Attention Mechanism; Moving Representations; Localizing Representations;

   Abstract : Recurrent Neural Networks (RNNs) are pivotal in deep learning for time series prediction, but they suffer from 'exploding values' and 'gradient decay,' particularly when learning temporally distant interactions. Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) have addressed these issues to an extent, but the precise mitigating mechanisms remain unclear. READ MORE

6. 30. Dynamic Warning Signals and Time Lag Analysis for Seepage Prediction in Hydropower Dams : A Case Study of a Swedish Hydropower Plant

   University essay from Uppsala universitet/Datalogi

   Author : Lovisa Olsson; Julia Hellström; [2023]
   Keywords : hydropower; dam safety; dam monitoring; seepage; prediction models; data-driven methods; artificial intelligence; AI;  linear regression; Support Vector Regression; SVR; Long Short-Term Memory; LSTM;

   Abstract : Hydropower is an important energy source since it is fossil-free, renewable, and controllable. Characteristics that become especially important as the reliance on intermittent energy sources increases. However, the dams for the hydropower plants are also associated with large risks as a dam failure could have fatal consequences. READ MORE