Essays about: "application of Neural Networks"

Showing result 16 - 20 of 215 essays containing the words application of Neural Networks.

  1. 16. Diffusion-based Vocoding for Real-Time Text-To-Speech

    University essay from Lunds universitet/Matematisk statistik

    Author : Lukas Gardberg; [2023]
    Keywords : Diffusion; Vocoding; Text-to-Speech; Machine Learning; Mathematics and Statistics;

    Abstract : The emergence of machine learning based text-to-speech systems have made fully automated customer service voice calls, spoken personal assistants, and the creation of synthetic voices seem well within reach. However, there are still many technical challenges with creating such a system which can generate audio quickly and of high enough quality. READ MORE

  3. 17. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

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

    Author : Nathan Allard; [2023]
    Keywords : ;

    Abstract : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. READ MORE

  4. 18. Application of Physics-Informed Neural Networks for Galaxy Dynamics

    University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Author : Lucas Barbier; [2023]
    Keywords : ;

    Abstract : Developing efficient and accurate numerical methods to simulate dynamics of physical systems has been an everlasting challenge in computational physics. Physics-Informed Neural Networks (PINNs) are neural networks that encode laws of physics into their structure. READ MORE

  5. 19. 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

  6. 20. Deep learning of nonlinear development of unstable flame fronts

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Ludvig Nobel; [2023]
    Keywords : Technology and Engineering;

    Abstract : The purpose of this study is to investigate Machine Learning methods and their ability to learn the development of nonlinear unstable flame fronts due to diffusive-thermal instabilities. This task is performed by first numerically computing long time-sequences of solutions to the chaotic partial differential equation named Kuramoto-Sivashinsky equation which models such instabilities in a flame front. READ MORE