Essays about: "Temporal Convolutional Network"

Showing result 11 - 15 of 62 essays containing the words Temporal Convolutional Network.

  1. 11. Simulating distributed PV electricity generation on a municipal level : Validating a model for simulating PV electricity generation and implementing it for estimating the aggregated PV generation in Knivsta Municipality

    University essay from Uppsala universitet/Byggteknik och byggd miljö

    Author : Lisa Molin; Sara Ericson; [2023]
    Keywords : photovoltaic generation model; model validation; artificial intelligence; machine learning; convolutional neural network; LIDAR;

    Abstract :   The deployment of distributed photovoltaic (PV) is accelerating worldwide. Understanding when and where PV systems will generate electricity is valuable as it affects the power balance in the grids. One way of obtaining this information is simulating the PV power production of systems detected in Remotely Sensed Data (RSD). READ MORE

  3. 12. Land Use/Land Cover Classification From Satellite Remote Sensing Images Over Urban Areas in Sweden : An Investigative Multiclass, Multimodal and Spectral Transformation, Deep Learning Semantic Image Segmentation Study

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Oskar Aidantausta; Patrick Asman; [2023]
    Keywords : data fusion; deep learning; land use land cover classification; multiclass; multimodal; remote sensing; semantic segmentation; Sentinel satellite; spectral index; U-Net; Urban Atlas;

    Abstract : Remote Sensing (RS) technology provides valuable information about Earth by enabling an overview of the planet from above, making it a much-needed resource for many applications. Given the abundance of RS data and continued urbanisation, there is a need for efficient approaches to leverage RS data and its unique characteristics for the assessment and management of urban areas. READ MORE

  4. 13. Learning Based Road Estimation

    University essay from Lunds universitet/Matematik LTH

    Author : Sanna Amirijoo; Karl Niwong; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : The interest in autonomous driving has vastly increased, leading to a surge in research and development efforts over the past decades. This technology could enhance road safety, alleviate traffic congestion, and yield numerous environmental and economic benefits. READ MORE

  5. 14. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Fredrik Kortetjärvi; Rohullah Khorami; [2023]
    Keywords : Graph Neural Network;

    Abstract : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. READ MORE

  6. 15. Deep learning for temporal super-resolution of 4D Flow MRI

    University essay from KTH/Matematik (Avd.)

    Author : Pia Callmer; [2023]
    Keywords : Temporal super-resolution; 4D Flow MRI; CNN; Artificial Intelligence; MRI; 4D flow; Temporal superupplösning; 4D flöde MRI; CNN; artificiell intelligens; MRI; 4D-flöde;

    Abstract : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. READ MORE