Search for dissertations about: "Sepideh Pashami"

Showing result 1 - 5 of 6 swedish dissertations containing the words Sepideh Pashami.

  2. 1. Change detection in metal oxide gas sensor signals for open sampling systems

    Author : Sepideh Pashami; Achim Lilienthal; Marco Trincavelli; Giorgio Sberveglieri; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; metal oxide sensors; Open Sampling System; change point detection; gas dispersion simulation; environmental monitoring; Computer Science; Datavetenskap;

    Abstract : This thesis addresses the problem of detecting changes in the activity of a distant gas source from the response of an array of metal oxide (MOX) gas sensors deployed in an Open Sampling System (OSS). Changes can occur due to gas source activity such as a sudden alteration in concentration or due to exposure to a different compound. READ MORE

  4. 2. Machine Learning Survival Models : Performance and Explainability

    Author : Abdallah Alabdallah; Mattias Ohlsson; Thorsteinn Rögnvaldsson; Sepideh Pashami; Erik Frisk; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Survival Analysis; Explainable Artificial Intelligence; Survival Patterns; Counterfactual Explanations; Evaluation Metrics; Concordance Index;

    Abstract : Survival analysis is an essential statistics and machine learning field in various critical applications like medical research and predictive maintenance. In these domains understanding models' predictions is paramount. READ MORE

  5. 3. Evolving intelligence : Overcoming challenges for Evolutionary Deep Learning

    Author : Mohammed Ghaith Altarabichi; Sławomir Nowaczyk; Sepideh Pashami; Peyman Sheikholharam Mashhadi; Niklas Lavesson; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; neural networks; evolutionary deep learning; evolutionary machine learning; feature selection; hyperparameter optimization; evolutionary computation; particle swarm optimization; genetic algorithm;

    Abstract : Deep Learning (DL) has achieved remarkable results in both academic and industrial fields over the last few years. However, DL models are often hard to design and require proper selection of features and tuning of hyper-parameters to achieve high performance. These selections are tedious for human experts and require substantial time and resources. READ MORE

  6. 4. Hierarchical Methods for Self-Monitoring Systems : Theory and Application

    Author : Pablo José Del Moral Pastor; Sławomir Nowaczyk; Sepideh Pashami; Niklas Lavesson; Högskolan i Halmstad; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Self-monitoring solutions first appeared to avoid catastrophic breakdowns in safety-critical mechanisms. The design behind these solutions relied heavily on the physical knowledge of the mechanism and its fault. They usually involved installing specialized sensors to monitor the state of the mechanism and statistical modeling of the recorded data. READ MORE

  7. 5. From Domain Adaptation to Federated Learning

    Author : Zahra Taghiyarrenani; Sławomir Nowaczyk; Sepideh Pashami; Mohamed-Rafik Bouguelia; Eirini Ntoutsi; Högskolan i Halmstad; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Data-driven methods have been gaining increasing attention; however, along with the benefits they offer, they also present several challenges, particularly concerning data availability, accessibility, and heterogeneity, the three factors that have shaped the development of this thesis. Data availability is the primary consideration when employing data-driven methodologies. READ MORE