Essays about: "high performance network"

Showing result 26 - 30 of 775 essays containing the words high performance network.

  1. 26. Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Liang Cheng; [2023]
    Keywords : ;

    Abstract : Likelihood-free parameter inference is a well-known statistical methodology that estimates the posterior distribution of model parameters even in cases where the likelihood function is intractable. The performance of this method is highly correlated with the learning of summary statistics, which capture the key features from the high dimensional data such as time series. READ MORE

  3. 27. Design and Evaluation of Peptide Binders : In silico evaluation and comparison of generative AI for de novo peptide binder design

    University essay from Uppsala universitet/Beräkningsbiologi och bioinformatik

    Author : Linde Brokmar; [2023]
    Keywords : Protein design; de novo design; protein engineering; generative ai; machine learning; peptide binders; AF2; EvoBind; RFdiffusion; ProteinMPNN;

    Abstract : Peptide binders are short proteins that bind to larger proteins. Due to peptide binders having high specificity and being cheap to synthesize, they are a prime candidate for drug design. Creating new proteins in silico can be divided into three steps: protein backbone generation, sequence design, and computational filtering. READ MORE

  4. 28. mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces

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

    Author : Zhenyu Li; [2023]
    Keywords : mmWave Communication; Reconfigurable Intelligent Surface; Ray Tracing; Indoor Dense Spaces;

    Abstract : Millimeter-wave (mmWave) is widely investigated for indoor communication scenarios thanks to the available rich spectrum. However, the shortened antenna size and the high frequency make mmWave extra sensitive to blockages. READ MORE

  5. 29. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks

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

    Author : Henrique Costabile; [2023]
    Keywords : ;

    Abstract : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. READ MORE

  6. 30. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods

    University essay from KTH/Fysik

    Author : Jeanette Marie Victoria Skeppland Hole; [2023]
    Keywords : ECG; ECG-analysis; QRS detector; Artificial Intelligence; Machine Learning; Deep neural networks; Long short-term memory; Convolutional neural network; Multilayer perceptron; EKG; EKG-analys; QRS detektor; Artificiell intelligens; Maskininlärning; Djupa neurala nätverk; Long short-term memory; Convolutional neural network; Multilayer perceptron;

    Abstract : 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