Sökning: "descriptors"

Visar resultat 1 - 5 av 132 uppsatser innehållade ordet descriptors.

  1. 1. Machine learning for molecular property prediction and drug safety

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Kinga Jenei; [2023-10-23]
    Nyckelord :Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

    Sammanfattning : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. LÄS MER

  3. 2. Creating a High-Throughput Workflow for Automated Peptide Characterization using LC-MS

    Master-uppsats, Lunds universitet/Centrum för analys och syntes

    Författare :Sara Forsberg; [2023]
    Nyckelord :High-throughput analysis; Impurity profiling; UHPLC-HRMS; Peptide characterization; Peptide descriptors; Analytical chemistry; Technology and Engineering;

    Sammanfattning : In the early stage of a drug discovery project, there is a need for efficient methods that can analyse peptides in short time. This includes methods that confirm the peptide’s identity and estimates its relative purity in an efficient and reliable way. LÄS MER

  4. 3. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Alexander Magnusson; Anton Andersson; [2023]
    Nyckelord :Anomaly Detection; Sound Event Detection; MFCC; GMM; OCSVM; Mathematics and Statistics;

    Sammanfattning : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. LÄS MER

  5. 4. The Gunnlod Dataset : Engineering a dataset for multi-modal music generation

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

    Författare :Emil Johansson; Joel Lindgren; [2023]
    Nyckelord :Computer generated music; machine learning; musical instrument digital interfaces; ethics;

    Sammanfattning : This report details the creation of a new dataset named the Gunnlod dataset (after the Norse giantess who guarded the mead of poetry) for use in research in the field of machine learning as applied to music creation, particularly multi-modal music in the MIDI format of symbolic music representation. The dataset is based on a subset of approximately four fifths of the Lakh MIDI dataset. LÄS MER

  7. 5. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

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

    Författare :Fehmi Ayberk Uçkun; [2023]
    Nyckelord :3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

    Sammanfattning : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. LÄS MER