Sökning: "Multiclass"

Visar resultat 21 - 25 av 52 uppsatser innehållade ordet Multiclass.

  1. 21. Fast Classification of Obfuscated Malware with an Artificial Neural Network

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Johan Luhr; Hannes Hallqvist; [2022]
    Nyckelord :;

    Sammanfattning : Malware has posed a problem ever since the first variant was created in the 1980s. As malware detection techniques have advanced, malware developers have in turn found better ways to hide and obfuscate malware. Machine learning (ML) has seen great expansion into many fields over the last years, this includes the field of cybersecurity. LÄS MER

  3. 22. Detection Of Malicious Activity in Network Traffic on a Binary Representation using Image Analysis

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Joar Hjerpe; Oliver Karlsson; [2022]
    Nyckelord :Binary representation; Image Analysis; Spatial-Filling Curves; IIoT; Artificial intelligence;

    Sammanfattning : In this thesis, we explore the idea of using binary visualization and image analysis to detect anomalous activity on an Industrial Internet of Things (IIoT) based network. The data is gathered into a pcap file and then fed into our encoder, which uses a space-filling curve to convert the 1-dimensional stream of data into pixels with a specific red, blue, and green gradient value. LÄS MER

  4. 23. Facial Emotion Recognition using Convolutional Neural Network with Multiclass Classification and Bayesian Optimization for Hyper Parameter Tuning.

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Lokesh Bejjagam; Reshmi Chakradhara; [2022]
    Nyckelord :Computing Methodologies; Machine Learning; Machine Learning Approaches; Convolutional Neural Network; Facial Emotion Recognition.;

    Sammanfattning : The thesis aims to develop a deep learning model for facial emotion recognition using Convolutional Neural Network algorithm and Multiclass Classification along with Hyper-parameter tuning using Bayesian Optimization to improve the performance of the model. The developed model recognizes seven basic emotions in images of human beings such as fear, happy, surprise, sad, neutral, disgust and angry using FER-2013 dataset. LÄS MER

  5. 24. Evaluation of Natural Language Processing and Machine Learning Tools for the Automation of the Customer Service Task

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Elena Filonova; [2022]
    Nyckelord :;

    Sammanfattning : Customer service is an integral part of every modern company. Nowadays, almost any company can offer their customers extended means of communication, which considerably change customers’ concept of speed and convenience, resulting in higher expectations of the quality of the delivered customer service. LÄS MER

  7. 25. Text Classification of Human Resources-related Data with Machine Learning

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

    Författare :Christine Rosquist; [2021]
    Nyckelord :;

    Sammanfattning : Text classification has been an important application and research subject since the origin of digital documents. Today, as more and more data are stored in the form of electronic documents, the text classification approach is even more vital. LÄS MER