Sökning: "spatial and temporal analysis"

Visar resultat 21 - 25 av 211 uppsatser innehållade orden spatial and temporal analysis.

1. 21. Where can the Vendace (Coregonus albula) live during the least favourable period of the summer stratification in Lake Mälaren?

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Loa Andersson; [2023]
   Nyckelord :;

   Sammanfattning : Temporal stratification in lakes due to high air temperatures and dynamic wind conditions changes the environment for organisms in the depth gradient. For fish that have narrow requirements for temperature and oxygen conditions, stratification can lead to a significant reduction in habitat volume during the summer when surface temperatures are high. LÄS MER

3. 22. Identifying Fundamental Characteristics of Shock Nonstationarity using MMS Measurements : Identifying and Distinguishing Non-stationary Behaviour Through the Magnetic Field Gradient in Quasi-perpendicular Shocks

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Hannah Wik; [2023]
   Nyckelord :Space; Space Plasma Physics; Collisionless Shocks; MMS; Non-stationarity; Shock Reformation; Rippling; Bow Shock; Solar Wind; Rymd; Rymdfysik; Kollisionsfria chocker; MMS; Icke-stationär; Reformation; Bogchock; Solvind;

   Sammanfattning : Collisionless shocks are widespread phenomena in the universe, and understanding the mechanisms behind their energy dissipation, with a rare number of collisions between particles, remains a significant unresolved question. The Earth’s bow shock provides an excellent opportunity to study this phenomena in situ. LÄS MER

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

   Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Fredrik Kortetjärvi; Rohullah Khorami; [2023]
   Nyckelord :Graph Neural Network;

   Sammanfattning : 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. LÄS MER

5. 24. Mesoscale precipitation systems in the Tibetan Plateau region as represented by global reanalysis, regional downscaling and satellite data between 2001 - 2016

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :Benjamin Holmberg; [2022-09-01]
   Nyckelord :Tibetan Plateau; monsoon; westerlies; mesoscale; convection; precipitation; climate modelling; global reanalysis; regional downscaling; spatial resolution; re-initialization; spectral nudging; convective parameterization;

   Sammanfattning : The Tibetan Plateau (TP) is one of the world’s most important water towers. Convective precipitation systems play an important role by providing freshwater for the highly densely populated downstream regions, but they can also cause hazardous floods. LÄS MER

7. 25. Telecom Fraud Detection Using Machine Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Chao Xiong; [2022]
   Nyckelord :Fraud Detection; Anomaly Detection; Machine Learning; Deep Learning; International Revenue Sharing Fraud;

   Sammanfattning : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. LÄS MER