Essays about: "Test Improvement"
Showing result 21 - 25 of 633 essays containing the words Test Improvement.
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21. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods
University essay from KTH/FysikAbstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE
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22. Sync your tests : A qualitative study on strategies for testing asynchronous code
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The rise of Electrical control units inside of vehicles has led to strict safety regulationsin terms of testing specific software. When the software indicates errors due to inconsistenttests, instead of actual faults, problems arise and a product’s credibility and reliability arequestioned. READ MORE
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23. Evaluation of Woodmer/plastic composites
University essay from KTH/Fiber- och polymerteknologiAbstract : Plast ger otroliga möjligheter i form av stor variation för materialanvändning. Tyvärr sker det dock på bekostnad av miljön då de ackumuleras i naturen. En kompromiss mellan hållbarhet och fortsatt plastanvändning skulle kunna vara att använda biomassa som fyllnadsmaterial i plastkompositer istället för plast. READ MORE
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24. Methods for determining focal point and delay for ultrasound arrays and multichannel electronics
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : High intensity focused ultrasound is a growing technique for tissue ablation, among other uses, and given its destructive capabilities, there is a need for control of where the energy is delivered. There exist a number of methods for focusing such ultrasound arrays, but these often assume prior knowledge of the impulse response, or require extensive full-system simulations. READ MORE
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25. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. READ MORE