Essays about: "RNN"

Showing result 11 - 15 of 159 essays containing the word RNN.

1. 11. Disambiguating Italian homographic heterophones with SoundChoice and testing ChatGPT as a data-generating tool

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Matilde Nanni; [2023]
   Keywords : ChatGPT; Homograph disambiguation; Italian; SoundChoice;

   Abstract : Text-To-Speech systems are challenged by the presence of homographs, words that have more than one possible pronunciation. Rule-based approaches are often still the preferred solution to this issue in the industry. READ MORE

3. 12. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Kevin Coleman; [2023]
   Keywords : Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

   Abstract : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. READ MORE

4. 13. RNN-based Graph Neural Network for Credit Load Application leveraging Rejected Customer Cases

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Oskar Nilsson; Benjamin Lilje; [2023]
   Keywords : Machine Learning; Deep Learning; Reject Inference; GNN; GCN; Graph Neural Networks; RNN; Recursive Neural Network; LSTM; Semi-Supervised Learning; Encoding; Decoding; Feature Elimination;

   Abstract : Machine learning plays a vital role in preventing financial losses within the banking industry, and still, a lot of state of the art and industry-standard approaches within the field neglect rejected customer information and the potential information that they hold to detect similar risk behavior.This thesis explores the possibility of including this information during training and utilizing transactional history through an LSTM to improve the detection of defaults. READ MORE

5. 14. Remaining Useful Life Prediction of Power Electronic Devices Using Recurrent Neural Networks

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

   Author : Congrui Cai; [2023]
   Keywords : Power electronics; Prognostics and health management; Remaining useful life; Recurrent neural network; Kraftelektronik; Prognostik och hälsoledning; Återstående livslängd; Återkommande neurala nätverk;

   Abstract : The growing demand for sustainable technology has led to an increased application of power electronics. As these devices are often exposed to harsh conditions, their reliability is a primary concern for both manufacturers and users. READ MORE

6. 15. Latency Prediction in 5G Networks by using Machine Learning

   University essay from Lunds universitet/Institutionen för reglerteknik

   Author : Erica Elgcrona; Evrim Mete; [2023]
   Keywords : Technology and Engineering;

   Abstract : This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. READ MORE