Essays about: "koden"

Showing result 1 - 5 of 179 essays containing the word koden.

  1. 1. Multi-Parameter Modelling of Surface Electromyography Data

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Ahmad Alosta; Josef Djärf; [2024]
    Keywords : Surface electromyography; modelling; Python; sEMG; decomposition; neuroengineering; motor unit; muscle; simulation; Technology and Engineering;

    Abstract : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. READ MORE

  2. 2. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Jonathan Benitez; [2023]
    Keywords : microcontroller; deep learning; artificial neural network; electromyography; myoelectric prosthesis; Technology and Engineering;

    Abstract : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. READ MORE

  3. 3. Analysing the effects of 24/7 Carbon-free Energy procurement strategies on the electricity system : Case Study of commercial and industrial sector in the Netherlands

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : NINA JABŁOŃSKA; [2023]
    Keywords : 24 7 Carbon-free Energy; carbon accounting; corporate electricity procurement; Energy Attribute Certificates; hourly matching; the Netherlands.; 24 7 kolfri energi; koldioxidredovisning; företagens elupphandling; energiattributcertifikat; timmatchning; Nederländerna.;

    Abstract : Considering the growing importance of the electricity sector in the worldwide decarbonisation efforts, as well as large volumes of energy consumed by the commercial and industrial (C&I) sector, corporate power procurement is found to be a significant contributor to building a net zero economy. Within this topic, hourly matching of carbon-free electricity supply with demand, or 24/7 Carbon-free Energy (24/7 CFE), is identified as a next-generation power procurement framework, with growing interest from a wide range of stakeholders in the energy sector and benefits backed by robust research evidence. READ MORE

  4. 4. Implicit Message Integrity Provision : In Heterogeneous Vehicular Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Paul Molloy; [2023]
    Keywords : Privacy; Code Generation; Vehicle-to-infrastructure; Vehicular ad hoc Networks; Standardization; Remote Procedure Calls; Safety; Integritet; Kodgenerering; Fordon-till-infrastruktur; Ad hoc-nät för Fordon; Standardisering; Samtal om fjärrprocedur; Säkerhet;

    Abstract : Vehicles on the road today are complex multi-node computer networks. Security has always been a critical issue in the automotive computing industry. It is becoming even more crucial with the advent of autonomous vehicles and driver assistant technology. There is potential for attackers to control vehicles maliciously. READ MORE

  5. 5. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Fabio Camerota; [2023]
    Keywords : XLNet; BERT; Toxic Comment Classification; Entropy-based Attention Regularization; XLNet; BERT; Toxisk Kommentar Klassificering; Entropibaserad uppmärksamhetsreglering;

    Abstract : The proliferation of hate speech is a growing challenge for social media platforms, as toxic online comments can have dangerous consequences also in real life. There is a need for tools that can automatically and reliably detect hateful comments, and deep learning models have proven effective in solving this issue. READ MORE