Sökning: "neural coding"

Visar resultat 1 - 5 av 35 uppsatser innehållade orden neural coding.

  1. 1. PAMPaR: Parallel Analysis of miRNAs, Proteins and RNAs. Dynamic Profiles of miRNAs, mRNAs and Specific Proteins in Mouse Embryonic Stem Cells Differentiating into Neural Precursors

    Master-uppsats, KTH/Proteinvetenskap

    Författare :Amelie Carlström; [2023]
    Nyckelord :PAMPaR; SPARC; Proximity extension assay; Neuronal differentiation; Mouse embryonic stem cells; PAMPaR; SPARC; Proximity extension assay; Neuronal differentiering; embryonala musstamceller;

    Sammanfattning : MikroRNA-molekyler (miRNA) är viktiga icke-kodande RNA-molekyler för post-transkriptionell reglering av proteinkodande gener. De har även effekter på många cellulära processer såsom differentiering. De biosyntetiska reaktioner som skapar miRNA involverar proteiner som själva regleras av miRNA. LÄS MER

  3. 2. Visual Attention Guided Adaptive Quantization for x265 using Deep Learning

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

    Författare :Mikaela Gärde; [2023]
    Nyckelord :video encoding; deep learning; visual attention; adaptive quantization; videokodning; djupinlärning; visuellt fokus; adaptiv kvantisering;

    Sammanfattning : The video on demand streaming is raising drastically in popularity, bringing new challenges to the video coding field. There is a need for new video coding techniques that improve performance and reduce the bitrates. LÄS MER

  4. 3. Comparison of Output Decoding Techniques for Spiking Neural Networks

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

    Författare :Hisham Ahmed; Martin Orrje; [2023]
    Nyckelord :;

    Sammanfattning : Spiking Neural Networks (SNNs) hold significant potential due to their high energy efficiency when implemented on specialized hardware. Central to SNNs is the translation of sequences of spike events to concrete outputs, like class predictions. LÄS MER

  5. 4. LDPC DropConnect

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

    Författare :Xi Chen; [2023]
    Nyckelord :Bayesian approach; Machine learning; Coding theory; Measurement uncertainty; Algorithms; Bayesiansk metod; Maskininlärning; Kodningsteori; Mätosäkerhet; Algoritmer;

    Sammanfattning : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. LÄS MER

  7. 5. Sentiment and Semantic Analysis and Urban Quality Inference using Machine Learning Algorithms

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

    Författare :Emily Ho; Michelle Schneider; [2022-10-14]
    Nyckelord :Natural Language Processing; Machine Learning; Deep Neural Networks; Transformers; BERT; NER; Text Classification; Urban Planning; Qualitative Research; Interviews;

    Sammanfattning : Qualitative interviews are conducted by researchers to gain a deeper understanding of people’s opinions and perceptions about a specific topic. The analysis of such textual data is an iterative process and often time-consuming. LÄS MER