Sökning: "multi-channel networks"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden multi-channel networks.

  1. 1. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

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

    Författare :Stefan Christiansson; [2023]
    Nyckelord :MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Sammanfattning : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. LÄS MER

  3. 2. Impact of Industry 4.0 on the Supply Chain of Zagros Petrochemical Company

    Magister-uppsats, Linnéuniversitetet/Institutionen för ekonomistyrning och logistik (ELO)

    Författare :Mynudden Zikria Bahar; Ghazal Rostami; [2021]
    Nyckelord :Supply Chain Management; Industry 4.0; Information and Communication Technology; Business Intelligence; Multi-Channel Network; Zagros Petrochemical Company;

    Sammanfattning : Industry 4.0 is a concept that emphasizes system and process automation, digitalization, and data interchange in the workplace. Its purpose is to create a smart factory that will cut lead times and increase system productivity by responding to client demand or unforeseen circumstances. LÄS MER

  4. 3. Brain disease classification using multi-channel 3D convolutional neural networks

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Andreas Christopoulos Charitos; [2021]
    Nyckelord :Deep Learning DL ; fMRI; CNNs; Tensorflow Keras; ASD; Medical Imaging;

    Sammanfattning : Functional magnetic resonance imaging (fMRI) technology has been used in the investigation of human brain functionality and assist in brain disease diagnosis. While fMRI can be used to model both spatial and temporal brain functionality, the analysis of the fMRI images and the discovery of patterns for certain brain diseases is still a challenging task in medical imaging. LÄS MER

  5. 4. Analyzing white blood cells using deep learning techniques

    Master-uppsats, Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)

    Författare :Suraj Neelakantan; Sai Sushanth Varma Kalidindi; [2020]
    Nyckelord :White blood cells; Deep learning; Convolutional neural networks; Classification; Medical device technology;

    Sammanfattning : The field of hematology involves the analysis of blood and its components like platelets, red blood cells, white blood cells. The outcome of this analysis can be vital in determining the condition of the human body and it is important to obtain accurate results. LÄS MER

  7. 5. Relation Extraction on Swedish Text by the Use of Semantic Fields and Deep Multi-Channel Convolutional Neural Networks

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

    Författare :Eric Hallström; [2019]
    Nyckelord :;

    Sammanfattning : This thesis makes two contributions to the research domain of relation extraction (RE), i.e., the automated discovery of semantic links in unstructured text. The first contribution is a method for creating a dataset for RE, and using it to create the first Swedish RE dataset involving nine relationships between persons, locations and vehicles. LÄS MER