Sökning: "Prestanda"

Visar resultat 41 - 45 av 3195 uppsatser innehållade ordet Prestanda.

  1. 41. Blockchains and Smart Contracts for Cryptocurrency : An Analysis of Their Functionality and Performance

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

    Författare :Oussama Safi; Melik Atabeyli; [2023]
    Nyckelord :Smart Contracts; Blockchains; Cryptocurrency; Digital assets; Consensus mechanisms; Smarta Kontrakt; Blockkedjor; Kryptovaluta; Digitala tillgångar; Konsensus mekanismer;

    Sammanfattning : Smart contracts are self-executing electronic contracts. Amongst its deployed applications in the digital world is providing a decentralized and transparent method for executing transactions of cryptocurrencies on blockchains. LÄS MER

  3. 42. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding

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

    Författare :Corentin Royer; [2023]
    Nyckelord :Deep Learning; Entity Retrieval; Mixer; Transformer;

    Sammanfattning : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. LÄS MER

  4. 43. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data

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

    Författare :Jiaqi Xu; [2023]
    Nyckelord :Traffic State Estimation; Macroscopic Traffic Model; Extended Kalman Filter; Particle Filter; Data Fusion; Trafiklägesuppskattning; Makroskopisk trafikmodell; Utökad Kalman-filter; Partikelfilter; Datafusion;

    Sammanfattning : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. LÄS MER

  5. 44. Faktorer som påverkar ett rättvist beslutsfattande : En undersökning av begränsningar och möjligheter inom datainsamling för maskininlärning

    Kandidat-uppsats, Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)

    Författare :Erik Westerberg; [2023]
    Nyckelord :AI; Machine learning; AI fairness; Data quality; Limitations; opportunities; Affordance theory; AI; Maskininlärning; Rättvis AI; Datakvalitet; Begränsningar; möjligheter; Affordance theory;

    Sammanfattning : Artificial intelligence, AI, is widely acknowledged to have atransformative impact on various industries. However, thistechnology is not without its limitations. One such limitationis the potential reinforcement of human biases withinmachine learning systems. After all, these systems rely ondata generated by humans. LÄS MER

  7. 45. Active learning for text classification in cyber security

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

    Författare :Amanda Carp; [2023]
    Nyckelord :Interactive machine learning; Active learning; Cost-effective active learning; Cyber environment; Interaktiv maskininlärning; Aktiv inlärning; Kostnadseffektiv aktiv inlärning; Cyberdomänen;

    Sammanfattning : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. LÄS MER