Sökning: "odors"

Visar resultat 1 - 5 av 50 uppsatser innehållade ordet odors.

  1. 1. Air quality prediction in metropolitan areas using deep learning methods

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Augustin Ionut Ionascu; [2023]
    Nyckelord :air quality; forecasting; time-series; univariate; multivariate; multi-step; Attention; Transformer;

    Sammanfattning : The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. LÄS MER

  3. 2. Potentialen hos hydrokol från avloppsslam som jordförbättringsmedel

    Uppsats för yrkesexamina på grundnivå, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Lina Akhlaghi; [2022]
    Nyckelord :Hydrothermal carbonization; hydrochar; soil improvement; pyrolysis; biocoal;

    Sammanfattning : Margretelunds reningsverk i Åkersberga står såsom andra svenska avloppsreningsverk inför nya utmaningar i samband med anpassningen till ett mer hållbart och cirkulärt samhälle. För att bidra till en bra lokal miljö med få transporter och minimerad lukt, uppnå en hög grad av fosforåtervinning, samt reducera organiska och icke-organiska föreningar i slammet ska Roslagsvattenb i samarbete med IVL Svenska Miljöinstitutet utvärdera C-Greens OxyPower HTC-teknik. LÄS MER

  4. 3. The Sound of Smell : Possibilities for communicating an odor with sound aiding olfactory impairment

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

    Författare :Philip Berrez; Carolina Dexwik; [2022]
    Nyckelord :Covid-19; post covid; olfactory perception; multimodality; foley; sound; smell; olfactory dysfunction; auditory-olfactory cross modality; ;

    Sammanfattning : With covid-19 affecting people's ability to smell, it might be of interest to find multimodal solutions, where other senses could assist someone with an impaired sense of smell to identify an odor. This area of research lacks data since there has not been many studies on this. LÄS MER

  5. 4. “Imprisoned in my own body”- Women's experiences of Hyperemesis Gravidarum during pregnancy : A qualitative study

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för integrativ medicinsk biologi (IMB)

    Författare :Tooba Choudri; [2022]
    Nyckelord :Hyperemesis gravidarum HG ; nausea and vomiting in pregnancy NVP ; HG management; patient perspectives; qualitative; interviews.;

    Sammanfattning : Introduction: Hyperemesis gravidarum (HG) in pregnancy can cause severe and persistent vomiting, nausea, dehydration, vitamin and mineral deficiencies. The symptoms can have varying degrees of impact on women's physical, emotional, social, and marital lives and affect their quality of life. LÄS MER

  7. 5. E-noses equipped with Artificial Intelligence Technology for diagnosis of dairy cattle disease in veterinary

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

    Författare :Farbod Haselzadeh; [2021]
    Nyckelord :Artificial intelligence; Electronic nose; Gas sensor arrays; Principal component analysis; Autoencoder; Veterinary diagnose; Feature extraction; Dimentionality reduction; Normalization; Maskin intelligence; Artificial intelligence; Elektronisk näsa; Gas sensore array; Normalisering; dimensionalitetsminskning; Autoencoder; Klassificering AI; E-nose; Feature Extraction; Normalization; PCA; Autoencoder; Encoder; Decoder; MLP; Classifier; LDA; Support Vector Machine; Logistic Regression; Cross Validation; Signal segmentation;

    Sammanfattning : The main goal of this project, running at Neurofy AB, was that developing an AI recognition algorithm also known as, gas sensing algorithm or simply recognition algorithm, based on Artificial Intelligence (AI) technology, which would have the ability to detect or predict diary cattle diseases using odor signal data gathered, measured and provided by Gas Sensor Array (GSA) also known as, Electronic Nose or simply E-nose developed by the company. Two major challenges in this project were to first overcome the noises and errors in the odor signal data, as the E-nose is supposed to be used in an environment with difference conditions than laboratory, for instance, in a bail (A stall for milking cows) with varying humidity and temperatures, and second to find a proper feature extraction method appropriate for GSA. LÄS MER