Sökning: "temperature data."

Visar resultat 1 - 5 av 1600 avhandlingar innehållade orden temperature data..

  1. 1. Testing for Periodicity and Trend in Long-Memory Processes

    Författare :Abdullah Almasri; Statistiska institutionen; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistics; temperature data.; sunspots data; wind speed data; varve data; Siegel’s test; Fisher’s test; periodogram; Fractional difference process; Discrete wavelet transform; operations research; programming; actuarial mathematics; Statistik; operationsanalys; programmering; aktuariematematik; Wavelets; Statistik;

    Sammanfattning : This thesis presents methods of testing the periodicity and trend for the time series, which exhibit dependence over long periods of time. Many such processes can be modeled by a class of models called fractionally differenced processes. LÄS MER

  3. 2. Efficient Information Visualization of Multivariate and Time-Varying Data

    Författare :Jimmy Johansson; Mikael Jern; Matthew Cooper; Helwig Hauser; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Information visualization; parallel coordinates; interactive analysis; multivariate data; time-varying data; GPU; hardware graphics; Computer science; Datalogi;

    Sammanfattning : Data can be found everywhere, for example in the form of price, size, weight and colour of all products sold by a company, or as time series of daily observations of temperature, precipitation, wind and visibility from thousands of stations. Due to their size and complexity it is intrinsically hard to form a global overview and understanding of them. LÄS MER

  4. 3. Network Parameterisation and Activation Functions in Deep Learning

    Författare :Martin Trimmel; Matematik LTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; deep learning; linear region; network parameterisation; activation function; network calibration; conformal predictnio; tropical algebra; rational function; temperature scaling; network symmetries;

    Sammanfattning : Deep learning, the study of multi-layered artificial neural networks, has received tremendous attention over the course of the last few years. Neural networks are now able to outperform humans in a growing variety of tasks and increasingly have an impact on our day-to-day lives. LÄS MER

  5. 4. Spatiotemporal prediction of arbovirus outbreak risk : the role of weather and population mobility

    Författare :Aditya L. Ramadona; Joacim Rocklöv; Yesim Tozan; Hari Kusnanto; Lutfan Lazuardi; Paula Moraga; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; arbovirus; dengue; temperature; rainfall; extreme weather; climate variability; population mobility; twitter data; social media; forecasting model; early warning; epidemic; big data; INLA; spatiotemporal model; climate services;

    Sammanfattning : Background: Arboviruses such as dengue and chikungunya have been a significant public health burden globally for several decades. In Indonesia, all four dengue serotypes are circulating. LÄS MER

  7. 5. Multi-Sensor Data Synchronization using Mobile Phones

    Författare :Jonas Wåhslén; Thomas Lindh; Jens Eliason; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; wireless body sensor networks; wireless personal area network; sport technology; Bluetooth performance; time synchronization; data fusion; mobile phone application.;

    Sammanfattning : Body sensor networking is a rapidly growing technology. Today wearable sensors are used to measure and monitor e.g. pulse, temperature, skin conductance, heart activity, and movement (through GPS or inertial measurement units). LÄS MER