Essays about: "spatial and temporal diffusion"

Showing result 1 - 5 of 10 essays containing the words spatial and temporal diffusion.

  1. 1. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach

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

    Author : Pengnan Chi; [2023]
    Keywords : Diffusion model; Traffic forecasting; Generative model; Image processing; Spatial temporal modelling; Diffusionsmodell; Trafikprognos; Generativ modell; Bildbehandling; Rumsligtemporal modellering;

    Abstract : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. 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. Methane and Carbon Dioxide Emissions From Three Smallscale Hydropower Stations in South of Sweden

    University essay from Linköpings universitet/Tema Miljöförändring

    Author : Edevardt Johan Danielsen; Alexandra Jonsson Valderrama; [2022]
    Keywords : Hydropower; Reservoir; Freshwater; automated Flux chambers; Emissions; Ebullition; Diffusion; Greenhouse gases; GHGs; Methane; CH4; Carbon dioxide; CO2; Dissolved oxygen; DO; Variability; Spatial; Temporal; Dissolved inorganic carbon.; Vattenkraft; Reservoar; Sötvatten; automatiserade Fluxkammare; Utsläpp; Ebullition; Diffusion; Växthusgaser; GHHs; Metan; CH4; Koldioxid; CO2; Löst syre; DO; Variabilitet; Rumslig; Temporal; Löst oorganiskt kol.;

    Abstract : Over the past decades, evidence show that the anthropogenetic greenhouse gases (GHG) emissions of carbon dioxide (CO₂) and methane (CH₄) are the main drivers behind global warming and are becoming stronger. Globally, hydropower is among the main sources of renewable energy and the popular notion that hydropower electricity is carbon neutral has been under debate as evidence from measurements in different regions of the globe show significant and highly variable carbon emissions from hydropower reservoirs. READ MORE

  5. 4. Greenhouse gas emissions from three large lakes during the autumn 2020

    University essay from Linköpings universitet/Institutionen för tema

    Author : Veronica Bohlin; Anja Anderö Nordqvist; [2021]
    Keywords : methane; carbon dioxide; dissolved inorganic carbon; pCO2; flux chambers; large lakes; methane budget; carbon budget; GHGs; freshwater; spatiotemporal; ebullition; diffusion; autumn; metan; koldioxid; upplöst oorganiskt kol; pCO2; kammarmetod; stora sjöar; metanbudget; koldioxidbudget; växthusgaser; sötvatten; spatiotemporal; ebullition; diffusion; höst;

    Abstract : Methane (CH4) and carbon dioxide (CO2) are two greenhouse gases and main drivers of global climate change. Lakes are known to be a source of CH4 and CO2 to the atmosphere. While the importance of these emissions is clear, their magnitudes and regulation are still uncertain due to the scarcity of flux measurement data from lakes. READ MORE

  6. 5. Mathematical modelling andsimulation for tumour growth andangiogenesis

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : René Edgardo Luna; [2021]
    Keywords : Multiscale modelling; tumor growth; angiogenesis; agent-based model; variance reduction;

    Abstract : Cancer is a complex illness that affects millions of people every year. Amongst the most frequently encountered variants of this illness are solid tumours. The growth of solid tumours depends on a large number of factors such as oxygen concentration, cell reproduction, cell movement, cell death, and vascular environment. READ MORE