Essays about: "Klassificerare"

Showing result 21 - 25 of 149 essays containing the word Klassificerare.

  1. 21. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Alexander Wirdemo; [2023]
    Keywords : Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

    Abstract : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. READ MORE

  3. 22. EVOKED PHASE COHERENCE AS A BIOMARKER FOR ADAPTIVE NEUROMODULATION IN RAT MODEL OF PARKINSON'S DISEASE

    University essay from Umeå universitet/Institutionen för psykologi

    Author : Love Zackrisson; [2023]
    Keywords : Adaptive; Closed Loop; Neuromodulation; Parkinson’s Disease; Rat model; 6-OHDA; ITC; Phase Coherence; Bayesian Model; Classifier; Spinal Cord Stimulation; Deep Brain Stimulation.; Adaptiv; Closed Loop; Neuromodulation; Parkinson’s Sjukdom; Råttmodell; 6-OHDA; ITC; Faskoherens; Bayesiansk Modell; Klassificerare; Ryggradsstimulering; Djup Hjärnstimulering.;

    Abstract : Neuromodulation, such as spinal cord stimulation (SCS) and deep brain stimulation (DBS), has been shown to modulate pathophysiological brain activity and provide symptomatic therapy for several neurological disorders, including Parkinson’s Disease. The effectiveness of this therapy could likely be further improved by neuromodulation that is adaptive, delivering stimulation more selectively, by monitoring a biomarker in recorded brain signals, which indicates the presence of a pathological state. READ MORE

  4. 23. Exploring the Feasibility of Exercise Detection on the Exxentric kBox Platform

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Mahyar Mehr; [2023]
    Keywords : Machine learning; Flywheel training; Exercise detection; Signal processing; Exxentric kBox platform; Automatic exercise classification; Feature engineering; Maskininlärning; Träning med svänghjul; Upptäckt av träning; Signalbehandling; Exxentric kBox-plattformen; Automatisk träningklassificering; Funktionsutveckling;

    Abstract : Flywheel training is an increasingly popular training method that aids in the recovery process and promotes strength development while reducing the risk of re-injury. Additionally, automatic exercise classification offers athletes the convenience of effortlessly monitoring and tracking their training progress, enabling them to maintain consistency and achieve their fitness goals effectively. READ MORE

  5. 24. A Comparative Study on the Effects of Removing the Most Important Feature on Random Forest and Support Vector Machine

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

    Author : Henrik Åkesson; Hampus Fridlund; [2023]
    Keywords : ;

    Abstract : Machine learning (ML) for classification is largely regarded as a “black box”, in that it’s difficult to fully understand how the model reached a decision, and how changes to the input affects the output. Therefore, exploring the inner workings of classification models are of interest for expanding the current knowledge base, providing guidelines for choosing a more suitable classification model for a specific problem. READ MORE

  6. 25. Development of a Digital Coaching Application with Automated Mistake Identification using a Multi-Sensor Configuration

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Andreas Chrysanthou; [2023]
    Keywords : Sports technology; wearable sensors; multi-sensor; IMU; bodyweight exercise; mobile application; mHealth; Idrottsteknologi; bärbara sensorer; multisensor; kroppsviktsträning; mobilapplikation; mHälsa;

    Abstract : Home-based exercise is a popular physical activity of maintaining fitness, health andwellness in general. However, without proper supervision and basic knowledge of theexercises in the workout plan, there is an increased risk of injury. READ MORE