Sökning: "multiclass neural network"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden multiclass neural network.

1. 1. Computer-vision as an ErrorRecognition Tool for IndustryProduction Lines : A comparative study of models and neural networks

   Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

   Författare :André Lundholm; [2023]
   Nyckelord :Computer-vision; Machine Learning; Wood Industry; Neural Network; Convolutional Neural Network; Anomaly Detection; Outlier Detection; Object Detection;

   Sammanfattning : To use machine learning as a tool to help humans perform tasks is a common occurrence these days. Machine learning integration in the wood processing industry however, is more rare. Therefore it is suitable to research if machine learning works for some problem in this area. LÄS MER

3. 2. Explanation Methods for a Medical Image Classifier by Analysis of its Uncertainty

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

   Författare :Sanskar Gupta; [2022]
   Nyckelord :Uncertainty; Confidences; Calibration; Clustering; Multiclass classification;

   Sammanfattning : Over the last decade, neural networks have reached almost every field of science and technology. They have become a crucial part of various real-world applications, such as medical imaging. LÄS MER

4. 3. Minimizing the expected opportunity loss by optimizing the ordering of shipping methods in e-Commerce using Machine Learning

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Jonatan Ay; Jamil Azrak; [2022]
   Nyckelord :statistics; machine learning; applied mathematics; e-commerce; statistik; maskininlärning; tillämpad matematisk statistik; e-handel;

   Sammanfattning : The shopping industry is rapidly changing as the technology is advancing. This is especially true for the online industry where consumers are nowadays able to to shop much of what the need over the internet. LÄS MER

5. 4. 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

7. 5. 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