Essays about: "sequence prediction"

Showing result 1 - 5 of 86 essays containing the words sequence prediction.

  1. 1. Prediction of multiple conformational states of membrane proteins

    University essay from Linköpings universitet/Bioinformatik

    Author : Tobias Thorén; [2024]
    Keywords : Bioinformatics; Protein prediction; AlphaFold;

    Abstract : Predicting protein structures has long been an area of active research in the field ofbioinformatics. Great strides have recently been made in this area by googles DeepMindteam. They developed an AI called AlphaFold which is able to make the most accuratepredictions of protein structures as of date. READ MORE

  3. 2. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

  4. 3. 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

  5. 4. Regularizing Vision-Transformers Using Gumbel-Softmax Distributions on Echocardiography Data

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

    Author : Alfred Nilsson; [2023]
    Keywords : Deep Learning; Vision-Transformers; Echocardiography; Feature Selection; Gumbel-Softmax; Concrete Autoencoders; Regression; Djupinlärning; Vision-Transformers; Ekokardiografi; Feature Selection; GumbelSoftmax; Concrete Autoencoders; Regression;

    Abstract : This thesis introduces an novel approach to model regularization in Vision Transformers (ViTs), a category of deep learning models. It employs stochastic embedded feature selection within the context of echocardiography video analysis, specifically focusing on the EchoNet-Dynamic dataset. READ MORE

  6. 5. Camera Calibration for Zone Positioning and 2D-SLAM : Autonomous Warehouse Solutions for Toyota Material Handling

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Benjamin Bolgakov; Anton Frank; [2023]
    Keywords : camera calibration; computer vision; SLAM; autonomous; navigation;

    Abstract : The aim of this thesis is to investigate how well a generic monocular camera, placed on the vehicle, can be employed to localize an autonomous vehicle in a warehouse setting. The main function is to ascertain which zone the vehicle is currently in, as well as update the status when entering a new zone. READ MORE