Sökning: "oracle"

Visar resultat 6 - 10 av 108 uppsatser innehållade ordet oracle.

  1. 6. Fundamental Attacks on Ethereum Oracles and How to Prevent Them

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

    Författare :Mikael Jafari; [2023]
    Nyckelord :Blockchain; Attacks; Ethereum; Solana; Corda; Oracle; Blockkedja; Attacker; Ethereum; Solana; Corda; Orakel;

    Sammanfattning : Many applications and protocols on blockchain platforms are reliant on real-world data which exists outside the blockchain, something which is not directly accessible through these platforms. To bridge this gap, blockchain oracles help these applications and protocols by providing them with this data. LÄS MER

  3. 7. Unsupervised Domain Adaptation for Regressive Annotation : Using Domain-Adversarial Training on Eye Image Data for Pupil Detection

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

    Författare :Erik Zetterström; [2023]
    Nyckelord :Neural networks; Deep learning; Convolutional neural networks; Transfer learning; Domain adaptation; Unsupervised training; Adversarial training; Keypoint detection; Regression; Neurala nätverk; Djupinlärning; Faltningsnätverk; Överförningsinlärning; Domänadaptering; Oövervakad inlärning; Motstående träning; Nyckelpunktsdetektion; Regression;

    Sammanfattning : Machine learning has seen a rapid progress the last couple of decades, with more and more powerful neural network models continuously being presented. These neural networks require large amounts of data to train them. LÄS MER

  4. 8. A study about Active Semi-Supervised Learning for Generative Models

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Elisio Fernandes de Almeida Quintino; [2023]
    Nyckelord :Semi-Supervised Learning; Active Learning; Generative Models; Mixture Models; Semi-Övervakad Inlärning; Aktiv Inlärning; Generativa Modeller; Mixturmodeller;

    Sammanfattning : In many relevant scenarios, there is an imbalance between abundant unlabeled data and scarce labeled data to train predictive models. Semi-Supervised Learning and Active Learning are two distinct approaches to deal with this issue. LÄS MER

  5. 9. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction

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

    Författare :Thomas Bouquet; [2023]
    Nyckelord :Natural Language Processing; Transformers; Deep Learning; Cost Prediction; Traitement Automatique du Langage; Transformers; Apprentissage Profond; Prédiction de coûts; Behandling av naturligt språk; Transformers; Djupinlärning; Kostnadsförutsägelser;

    Sammanfattning : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. LÄS MER

  7. 10. The ideal use of NFT in Metaverse - A Systematic literature review

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

    Författare :Khalil Al-Towhi; [2023]
    Nyckelord :metaverse; scams; fraud; NFT; smart contract; oracle nodes; blockchain; systematic literature review;

    Sammanfattning : It has become possible to say that the metaverse is a great opportunity for investment and trade, as it provides massive financial returns. The metaverse is the next evolution in social connection and the successor to the mobile internet. LÄS MER