Essays about: "WaveNet"

Showing result 1 - 5 of 7 essays containing the word WaveNet.

1. 1. Anomalous Behavior Detection in Aircraft based Automatic Dependent Surveillance–Broadcast (ADS-B) system using Deep Graph Convolution and Generative model (GA-GAN)

   University essay from Linköpings universitet/Databas och informationsteknik

   Author : Jayesh Kenaudekar; [2022]
   Keywords : Intrusion detection aircraft aviation security adsb protocol AI deep learning machine learning graph generative model surveillance broadcast;

   Abstract : The Automatic Dependent Surveillance-Broadcast (ADS-B) is a key component of the Next Generation Air Transportation System (Next Gen) that manages the increasingly congested airspace and operation. From Jan 2020, the U.S. Federal Aviation Administration (FAA) mandated the use of (ADS-B) as a key component of Next Gen project. READ MORE

3. 2. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario

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

   Author : Hairuo Gao; [2022]
   Keywords : Participatory sensing; Data trustworthiness assessment; Anomaly detection; Traffic prediction; Deep neural network; Deltagande avkänning; Bedömning av uppgifternas tillförlitlighet; Upptäckt av anomalier; Trafikprognoser; Djupt neuralt nätverk;

   Abstract : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. READ MORE

4. 3. Deep Learning Methods for Recovering Trading Strategies

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

   Author : Erik Emtell; Oliver Spjuth; [2022]
   Keywords : Deep Learning; Recurrent Neural Network; Convolutional Neural Network; WaveNet; Ensemble Methods; Stacking; Bagging; Transfer Learning; Algorithmic Trading;

   Abstract : The aim of this paper is first of all to determine whether deep learning methods can recover trading strategies based on historical price and volume data, with scarcity of real data in mind. The second aim is to evaluate the methods to generate a deep learning blueprint for strategy extraction. READ MORE

5. 4. Domain Adaptation of IMU sensors using Generative Adversarial Networks

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

   Author : Saieshwar Radhakrishnan; [2020]
   Keywords : Autonomous vehicles; sensors; internal dynamics; Inertial Measurement Unit; covalidation; Generative Adversarial Network; WaveNets; LSTM.; Autonoma fordon; sensorer; intern dynamik; tröghetsmätningsenhet; samvalidering; Generative Adversarial Network; WaveNets; LSTM.;

   Abstract : Autonomous vehicles rely on sensors for a clear understanding of the environment and in a heavy duty truck, the sensors are placed at multiple locations like the cabin, chassis and the trailer in order to increase the field of view and reduce the blind spot area. Usually, these sensors perform best when they are stationary relative to the ground, hence large and fast movements, which are quite common in a truck, may lead to performance reduction, erroneous data or in the worst case, a sensor failure. READ MORE

6. 5. Deep Learning for Speech Enhancement : A Study on WaveNet, GANs and General CNN-RNN Architectures

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

   Author : Oscar Xing Luo; [2019]
   Keywords : ;

   Abstract : Clarity and intelligiblity are important aspects of speech, especially in a time of misinformation and mistrust. The breakthrough in generative models for audio files has brought massive improvements for speech enhancement. READ MORE