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Visar resultat 1 - 5 av 22 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Modern Housing Valuation : A Machine Learning Approach

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

    Författare :Nathan Allard; Tobias Hagström; [2021]
    Nyckelord :;

    Sammanfattning : The primary goal of this report was to examine and demonstrate how machine learning methods can be used to produce accurate and useful apartment valuation models, focusing on the Stockholm market. Furthermore, the paper analyzed how different attributes, including apartment descriptions, affect the price of an apartment. LÄS MER

  3. 2. Considering future precipitation in delineation locations for water storage systems - Case study Sri Lanka

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Kanchana Bandaranayake; [2021]
    Nyckelord :Geography; Geographical Information Systems; Physical Geography; Locating new water resources; Water scarcity; Consideration of climatic changes; Future precipitation; Pairwise comparison; Sri Lanka; Earth and Environmental Sciences;

    Sammanfattning : Demand for the usable water is accumulating globally in parallel with the population growth and the industrial revolution. Nevertheless, availability and accessibility of the usable water is progressively subsiding due to many environmental and socio-economic reasons. LÄS MER

  4. 3. Indoor Positioning and Machine Learning Algorithms

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Raavi Uttarwar; Julián Valentín; [2021]
    Nyckelord :Indoor Positioning; Machine Learning; Bluetooth Low Energy; Technology and Engineering;

    Sammanfattning : This master thesis focuses around improving the efficiency and accuracy of existing indoor positioning systems with the help of Machine Learning (ML). Our work is based on Bluetooth Low Energy (BLE) v5.1. Position estimation is currently being carried out using the Least-Squares (LS) method in the framework. LÄS MER

  5. 4. Vill du dela med dig av din platsinformation? : En fallstudie för en mobilapp för en alpin skidanläggning

    Kandidat-uppsats, Högskolan Dalarna/Informatik

    Författare :Carl Nylander; Markus Munkhammar; [2020]
    Nyckelord :location information; alpine skiing; user perspective; mobile app; platsinformation; alpin skidåkning; användarperspektiv; mobilapp;

    Sammanfattning : It is a challenge to collect data on visitors' movement patterns via a mobile app for an alpine ski resort. Because gathering of location information is based on voluntariness. One way to motivate more people to share their location information is to offer the features that users expects or want in such a mobile app. LÄS MER

  7. 5. A method to evaluate database management systems for Big Data : focus on spatial data

    Master-uppsats, Luleå tekniska universitet/Datavetenskap

    Författare :Saleh Kanani; [2019]
    Nyckelord :Big Data; spatial database; DBMS; GIS; selection method;

    Sammanfattning : Big data of type spatial is growing exponentially with the highest rate due to extensive growth in usage of sensors, IoT and mobile devices’ spatial data generation, therefore maintaining, processing and using such data efficiently, effectively with high performance has become one of the top priorities for Database management system providers, hence spatial database features and datatypes have become serious criteria in evaluating database management systems that are supposed to work as the back-end for spatial applications and services. With exponential growth of data and introducing of new types of data, “Big Data” has become strongly focused area that has gained the attention of different sectors e. LÄS MER