Essays about: "Temporal Convolutional Network"

Showing result 6 - 10 of 62 essays containing the words Temporal Convolutional Network.

1. 6. 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

3. 7. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene

   University essay from Jönköping University/Jönköping AI Lab (JAIL)

   Author : Dimitrios Zarogiannis; Stelio Bompai; [2023]
   Keywords : Lane Detection; CNN; Vision Transformer; Deep Learning; Semantic Segmentation; Computer Vision;

   Abstract : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. READ MORE

4. 8. Generation of a metrical grid informed by Deep Learning-based beat estimation in jazz-ensemble recordings

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

   Author : Andres Alonso Toledo Carrera; [2023]
   Keywords : Beat tracking; Metrical grid; Jazz; Music Information Retrieval; Deep Learning; Temporal Convolutional Network; Beatuppskattning; Metriskt rutnät; Jazz; Music Informationshämting; Deep Learning; Temporal Convolutional Network;

   Abstract : This work uses a Deep Learning architecture, specifically a state-of-the-art Temporal Convolutional Network, to track the beat and downbeat positions in jazz-ensemble recordings to derive their metrical grid. This network architecture has been used successfully for general beat tracking purposes. READ MORE

5. 9. Neural Network-Based Residential Water End-Use Disaggregation

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

   Author : Cajsa Pierrou; [2023]
   Keywords : Residential water end-use; Flow disaggregation; Time series classification; Artificial neural network; Smart water meter; Slutanvändning av vatten i hushåll; Flödesdisaggregering; Tidsserieklassificering; Artificiella neurala nätverk; Smart vattenmätare;

   Abstract : Sustainable management of finite resources is vital for ensuring livable conditions for both current and future generations. Measuring the total water consumption of residential households at high temporal resolutions and automatically disaggregating the sole signal into classified end usages (e.g. READ MORE

6. 10. Monocular 3D Human Pose Estimation

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

   Author : Robert Rey; [2023]
   Keywords : 3D Human Pose Estimation; Monocular Images; Deep Learning; Artificial Neural Networks; 3D Människokroppspositionsuppskattning; Monokulära bilder; Djupinlärning; Konstgjorda neurala nätverk;

   Abstract : The focus of this work is the task of 3D human pose estimation, more specifically by making use of key points located in single monocular images in order to estimate the location of human body joints in a 3D space. It was done in association with Tracab, a company based in Stockholm, who specialises in advanced sports tracking and analytics solutions. READ MORE