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Showing result 1 - 5 of 177 essays matching the above criteria.

  1. 1. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Lisa Linard Pedersen; [2024]
    Keywords : Technology and Engineering;

    Abstract : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. READ MORE

  3. 2. Developing an Automated Drivability Index for Swedish Roadways

    University essay from KTH/Transportplanering

    Author : ANDREI DAVID RADU; [2023]
    Keywords : ;

    Abstract : The masters thesis aims to determine a method to understand which road segments could pose safety risks or where Level 4 autonomous vehicles would operate poorly in the Swedish road context. This vehicle’s ability to operate adequately can be defined as ‘drivable’. READ MORE

  4. 3. Room Impulse Response Interpolation

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

    Author : Daníel Thor Wilcox; [2023]
    Keywords : Virtual Acoustics; Machine Learning; Signal Processing; Room Impulse Response; Virtuell Akustik; Maskininlärning; Signalbehandling; rumsimpulssvar;

    Abstract : In Virtual Reality (VR) systems, the incorporation of acoustics allows for the generation of audio-visual stimuli, facilitating applications in engineering, architecture, and design. The goal of virtual acoustics is to create a realistic sound field in continuous space. READ MORE

  5. 4. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Shuai Shao; [2023]
    Keywords : EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

    Abstract : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. READ MORE

  6. 5. Machine learning algorithm for generation and consumption forecasting in an electrical network

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Isac Hutchings; Joel Oyola; [2023]
    Keywords : ;

    Abstract : Power generation and consumption are directly affected by weather, and the weather variables are fluctuating, which means that generation and consumption also fluctuate. These fluctuations can damage equipment or cause other problems in an electrical network. READ MORE