PUMA publications for /https://puma.uni-kassel.de/PUMA RSS feed for /2024-04-10T08:00:09+02:00- An Examination of Organic Computing Strategies in Design Optimizationhttps://puma.uni-kassel.de/bibtex/2a8bae3d276fcc8c617284a15017b0f58/04068750040687502024-04-09T12:07:03+02:00imported itegpub isac-www DesignOptimization DeepLearning ActiveLearning GenerativeLearning <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jens Decke" itemprop="url" href="/author/Jens%20Decke"><span itemprop="name">J. Decke</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Organic Computing -- Doctoral Dissertation Colloquium 2023</span>, </em><em><span itemprop="publisher">kassel university press</span>, </em></span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)
- Machine Learning Supported Optimisation and Experimental Evaluation of Electrical Motors for Small Urban Passenger Vehicleshttps://puma.uni-kassel.de/bibtex/2f68d78692b7048293d759eb4527731be/04068750040687502024-04-09T12:01:11+02:00imported itegpub isac-www electrical_traction_machines sustainable_mobility data-driven_models machine_learning multi-objective_optimisation experimental_evaluation deep_learning_techniques test_benches <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Diego Botache" itemprop="url" href="/author/Diego%20Botache"><span itemprop="name">D. Botache</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Organic Computing -- Doctoral Dissertation Colloquium 2023</span>, </em><em><span itemprop="publisher">kassel university press</span>, </em></span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)
- Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulationhttps://puma.uni-kassel.de/bibtex/2730ae1996394beab35bc8f865eadaf67/04068750040687502024-04-09T11:57:48+02:00imported itegpub isac-www Electric_Motors Multiobjective_Optimisation Surrogate-Modelling Deep-Learning Explainable_Artificial_Intelligence <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Diego Botache" itemprop="url" href="/author/Diego%20Botache"><span itemprop="name">D. Botache</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jens Decke" itemprop="url" href="/author/Jens%20Decke"><span itemprop="name">J. Decke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Winfried Ripken" itemprop="url" href="/author/Winfried%20Ripken"><span itemprop="name">W. Ripken</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Abhinay Dornipati" itemprop="url" href="/author/Abhinay%20Dornipati"><span itemprop="name">A. Dornipati</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Franz Götz-Hahn" itemprop="url" href="/author/Franz%20G%c3%b6tz-Hahn"><span itemprop="name">F. Götz-Hahn</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohamed Ayeb" itemprop="url" href="/author/Mohamed%20Ayeb"><span itemprop="name">M. Ayeb</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernhard Sick" itemprop="url" href="/author/Bernhard%20Sick"><span itemprop="name">B. Sick</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>arXiv e-prints</em></span></span> </span>(<em><span>2024<meta content="2024" itemprop="datePublished"/></span></em>)
- DADO – Low-Cost Query Strategies for Deep Active Design Optimizationhttps://puma.uni-kassel.de/bibtex/2e6ecfa5a1489519a2c4c3b9f08ceb2ee/04068750040687502024-03-21T17:06:48+01:00imported itegpub isac-www Self-Optimization Self-Supervised-Learning Design-Optimization Active-Learning Numerical-Simulation <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jens Decke" itemprop="url" href="/author/Jens%20Decke"><span itemprop="name">J. Decke</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian Gruhl" itemprop="url" href="/author/Christian%20Gruhl"><span itemprop="name">C. Gruhl</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lukas Rauch" itemprop="url" href="/author/Lukas%20Rauch"><span itemprop="name">L. Rauch</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernhard Sick" itemprop="url" href="/author/Bernhard%20Sick"><span itemprop="name">B. Sick</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">International Conference on Machine Learning and Applications (ICMLA)</span>, </em></span><em>Seite <span itemprop="pagination">1611--1618</span>. </em><em><span itemprop="publisher">IEEE</span>, </em>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)
- Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholdinghttps://puma.uni-kassel.de/bibtex/2a4a29acb67656f837ca6e532fc88958d/04068750040687502024-03-21T17:06:17+01:00imported itegpub isac-www few-shot learning anomaly detection temporal attention dynamic thresholding <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Chandana Priya Nivarthi" itemprop="url" href="/author/Chandana%20Priya%20Nivarthi"><span itemprop="name">C. Nivarthi</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernhard Sick" itemprop="url" href="/author/Bernhard%20Sick"><span itemprop="name">B. Sick</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">International Conference on Machine Learning and Applications (ICMLA)</span>, </em></span><em>Seite <span itemprop="pagination">1444--1450</span>. </em><em><span itemprop="publisher">IEEE</span>, </em>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)