Sökning: "detecting"

Visar resultat 1 - 5 av 1015 uppsatser innehållade ordet detecting.

  1. 1. Machine Learning for Detecting Hate Speech in Low Resource Languages

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :David Rodriguez; Denitsa Saynova; [2020-07-08]
    Nyckelord :machine learning; natural language processing; BERT; cross-lingual zeroshot learning; data augmentation; hate speech; classification; Twitter;

    Sammanfattning : This work examines the role of both cross-lingual zero-shot learning and data augmentationin detecting hate speech online for low resource set-ups. The proposedsolutions for situations where the amount of labeled data is scarce are to use alanguage with more resources during training or to create synthetic data points. LÄS MER

  2. 2. To Force a Bug : Extending Hybrid Fuzzing

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap; Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Johan Näslund; Henrik Nero; [2020]
    Nyckelord :symbolisk execution; fuzzing; context-sensitive; bug; symbolisk exekvering; fuzzing; kontextkänslig; bug;

    Sammanfattning : One of the more promising solutions for automated binary testing today is hybrid fuzzing, a combination of the two acknowledged approaches, fuzzing and symbolic execution, for detecting errors in code. Hybrid fuzzing is one of the pioneering works coming from the authors of Angr and Driller, opening up for the possibility for more specialized tools such as QSYM to come forth. LÄS MER

  3. 3. Data mining techniques for modeling the operating behaviors of smart building control valve systems

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Amirmohammad Eghbalian; [2020]
    Nyckelord :Machine learning; Data mining; Outlier detection; Time-series; HVAC R;

    Sammanfattning : Background. One of the challenges about smart control valves system is processing and analyzing sensors data to extract useful information. These types of information can be used to detect the deviating behaviors which can be an indication of faults and issues in the system. LÄS MER

  4. 4. Deep Learning for Anomaly Detection in Microwave Links : Challenges and Impact on Weather Classification

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Olof Engström; [2020]
    Nyckelord :Anomaly Detection; Time Series; Forecasting; Weather Classification; Microwave Link; CNN; LSTM; Avvikelsedetektering; Tidsserier; Prognostisering; Väderklassificering; Mikrovågslänkar; faltningsnätverk; CNN; LSTM;

    Sammanfattning : Artificial intelligence is receiving a great deal of attention in various fields of science and engineering due to its promising applications. In today’s society, weather classification models with high accuracy are of utmost importance. LÄS MER

  5. 5. Detecting Memory Errors in a Constrained Embedded Linux System

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Fredrik Nyberg; Emil Bengtsson; [2020]
    Nyckelord :Technology and Engineering;

    Sammanfattning : .... LÄS MER