Sökning: "deep space network"

Visar resultat 1 - 5 av 58 uppsatser innehållade orden deep space network.

  1. 1. Fast Simulations of Radio Neutrino Detectors : Using Generative Adversarial Networks and Artificial Neural Networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Högenergifysik

    Författare :Anton Holmberg; [2022]
    Nyckelord :Askaryan emission; Radio detection of neutrinos; in-ice propagation; neutrino; Generative adversarial networks; GAN; WGAN; Neural networks; NN; surrogate model; IceCube; deep learning; generative model;

    Sammanfattning : Neutrino astronomy is expanding into the ultra-high energy (>1017eV) frontier with the use of in-ice detection of Askaryan radio emission from neutrino-induced particle showers. There are already pilot arrays for validating the technology and the next few years will see the planning and construction of IceCube-Gen2, an upgrade to the current neutrino telescope IceCube. LÄS MER

  2. 2. Investigating Machine Learning for verification of AMBA APB protocol.

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

    Författare :Abhiram Srisai Kishore; Mohammed Wasim; [2022]
    Nyckelord :Machine learning; SOC Verification; AMBA; Neural Networks; Deep Learning; Assertions.; Technology and Engineering;

    Sammanfattning : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. LÄS MER

  3. 3. Representation learning for single cell morphological phenotyping

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Andreas Nenner; [2022]
    Nyckelord :Deep learning; Image-based profiling;

    Sammanfattning : Preclinical research for developing new drugs is a long and expensive procedure. Experiments relying on image acquisition and analysis tend to be low throughput and use reporter systems that may influence the studied cells. LÄS MER

  4. 4. Representation and Efficient Computation of Sparse Matrix for Neural Networks in Customized Hardware

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

    Författare :Lihao Yan; [2022]
    Nyckelord :Convolutional neural networks; Sparse matrix representation; Model compression; Algorithm-hardware co-design; AlexNet; Konvolutionella neurala nätverk; Sparsam matrisrepresentation; Modellkomprimering; Algoritm-hårdvarusamdesign; AlexNet;

    Sammanfattning : Deep Neural Networks are widely applied to various kinds of fields nowadays. However, hundreds of thousands of neurons in each layer result in intensive memory storage requirement and a massive number of operations, making it difficult to employ deep neural networks on mobile devices where the hardware resources are limited. LÄS MER

  5. 5. Predicting safe drug combinations with Graph Neural Networks (GNN)

    Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskap

    Författare :Amirhossein Amanzadi; [2021]
    Nyckelord :Drug Combination; Polypharmacy Side Effects; Graph Neural Networks;

    Sammanfattning : Many people - especially during their elderly - consume multiple drugs for the treatment of complex or co-existing diseases. Identifying side effects caused by polypharmacy is crucial for reducing mortality and morbidity of the patients which will lead to improvement in their quality of life. LÄS MER