Essays about: "Threshold Algorithms"

Showing result 1 - 5 of 79 essays containing the words Threshold Algorithms.

  1. 1. Decoding the surface code using graph neural networks

    University essay from Göteborgs universitet / Institutionen för fysik

    Author : Moritz Lange; [2023-10-17]
    Keywords : ;

    Abstract : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. READ MORE

  3. 2. Optimizing ERP Recommendations Using Machine Learning Techniques

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Ante Jeremiah; [2023]
    Keywords : Machine Learning; Imbalanced;

    Abstract : This study explores the application of a recommendation engine in collaboration with Fortnox. The primary focus of this paper is to find potential improvements for their recommendation engine in terms of accurate recommendation for users. READ MORE

  4. 3. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press

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

    Author : Joakim Nylander Nordström; [2023]
    Keywords : Machine Learning; Deep Learning; Predictive Maintenance; High Pressure Processing;

    Abstract : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. READ MORE

  5. 4. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Oscar Montilla Tabares; [2023]
    Keywords : Class Imbalance; Cost Sensitivity; Cost-Sensitive Learning; Focal Loss; Binary Classification; Machine Learning; Deep Learning;

    Abstract : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. READ MORE

  6. 5. Can Hatescan Detect Antisemitic Hate Speech

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Olle Nyrén; [2023]
    Keywords : Artificial intelligence; hate speech detection; hate speech; antisemitism;

    Abstract : This thesis focuses on how well Hatescan, a hate speech detector built on the same Natural Language Processing and AI algorithms used in most online hate speech detectors, can detect different categories of antisemitism as well as whether or not it is worse at detecting implicit antisemitism than explicit antisemitism. The ability of hate speech detectors to detect antisemitic hate speech is a pressing issue. READ MORE