Essays about: "felklassificering"

Showing result 1 - 5 of 8 essays containing the word felklassificering.

  1. 1. Adversarial robustness of STDP-trained spiking neural networks

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

    Author : Karl Lindblad; Axel Nilsson; [2023]
    Keywords : ;

    Abstract : Adversarial attacks on machine learning models are designed to elicit the wrong behavior from the model. One such attack on image classifiers are maliciously crafted inputs that, to the human eye, look untampered with but have been carefully altered to cause misclassification. READ MORE

  3. 2. Detection of Prototype Pollution Using Joern : Joern’s Detection Capability Compared to CodeQL’s

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

    Author : Tobias Fröberg; [2023]
    Keywords : CodeQL; Computer security; JavaScript; Joern; Prototype pollution; Vulnerability detection; CodeQL; Datorsäkerhet; JavaScript; Joern; Prototypförorening; Sårbarhetsdetektering;

    Abstract : JavaScript-built programs are widely used by the general public, but they are also vulnerable to JavaScript-related exploits stemming from the newly discovered prototype pollution vulnerability. Research has been focused on understanding the impact of this vulnerability and finding ways to detect it using code analysis tools. READ MORE

  4. 3. Customer Acquisition Process Digitalization: A Case Study on the Use of Machine Learning in The Corporate Insurance Industry

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Klara Larsson; Freja Ling; [2023]
    Keywords : Customer Relationship Management CRM ; Customer Classification; Customer Acquisition; Machine Learning; Insurance Industry; Corporate Insurance; B2B; AI-CRM; Kundrelationssystem CRM ; Kunklassificering; Nykundsbearbetning; Maskininlärning; Försäkringsbranchen; Företagsförsäkring; B2B; AI-CRM;

    Abstract : This thesis explores the application of machine learning 8ml9 techniques in customer classification and their intergration into customer relationship management (CRM) systems within the corporate insurance industry. The research aims to address the gap in the use of AI-CRM for the corporate insurance industry. READ MORE

  5. 4. Comparison of Discriminative and Generative Image Classifiers

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

    Author : Simon Budh; William Grip; [2022]
    Keywords : Image classification; CNN; Normalizing flows; RealNVP; Adversarial examples;

    Abstract : In this report a discriminative and a generative image classifier, used for classification of images with handwritten digits from zero to nine, are compared. The aim of this project was to compare the accuracy of the two classifiers in absence and presence of perturbations to the images. READ MORE

  6. 5. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network

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

    Author : Diego Andres Moreno Salinas; [2022]
    Keywords : Predictive maintenance; Fault Diagnosis; Anomaly Detection; Deep Learning; Machine Learning; Induction Motors; Prediktivt underhåll; feldiagnostik; upptäckt av avvikelser; djup inlärning; maskininlärning; induktionsmotorer;

    Abstract : With the fast evolution of the Industry 4.0, the increased use of sensors and the rapid development of the Internet of Things (IoT), and the adoption of artificial intelligence methods, smart factories can automate their processes to vastly improve their efficiency and production quality. READ MORE